Digital Commons Network^™

Unicentric Castleman Disease: Illustration Of Its Morphologic Spectrum And Review Of The Differential Diagnosis, Siba El Hussein, Andrew G Evans, Hong Fang, Wei Wang, L Jeffrey Medeiros

Faculty, Staff and Student Publications

Context: Unicentric Castleman disease (UCD) is a dynamic entity with a wide spectrum of morphologic findings. UCD can be further subdivided into hyaline-vascular and mixed/plasmacytic variants. Hyaline-vascular UCD has both follicular and interfollicular (stromal) changes, and occasionally these lesions show a skewed representation of either the follicular or stromal compartments. Plasmacytosis is usually minimal in the hyaline-vascular variant. The mixed/plasmacytic variant of UCD is composed of sheets of plasma cells often associated with a variable number of follicles with regressive changes.

Objective: To illustrate the differential diagnosis of UCD, as it is quite broad and includes lymphomas, plasma cell neoplasms, …

Highly Variable Timing Renders Immunotherapy Efficacy And Toxicity Impractical Biomarkers Of One Another In Clinical Practice, Mitchell S Von Itzstein, Yuqiu Yang, Yiqing Wang, David Hsiehchen, Thomas Y Sheffield, Farjana Fattah, Vinita Popat, Murtaza Ahmed, Jade Homsi, Jonathan E Dowell, Sawsan Rashdan, Jay Lohrey, Hans J Hammers, Randall S Hughes, Tao Wang, Yang Xie, David E Gerber

Faculty, Staff and Student Publications

Background: A useful clinical biomarker requires not only association but also a consistent temporal relationship. For instance, chemotherapy-induced neutropenia and epidermal growth-factor inhibitor-related acneiform rash both occur within weeks of treatment initiation, thereby providing information prior to efficacy assessment. Although immune checkpoint inhibitor (ICI)-associated immune-related adverse events (irAE) have been associated with therapeutic benefit, irAE may have delayed and highly variable onset. To determine whether ICI efficacy and irAE could serve as clinically useful biomarkers for predicting each other, we determined the temporal relationship between initial efficacy assessment and irAE onset in a diverse population treated with ICI.

Methods: Using …

Foxp1 And Klf2 Reciprocally Regulate Checkpoints Of Stem-Like To Effector Transition In Car T Cells, Ziang Zhu, Guohua Lou, Xiao-Lu Teng, Haixia Wang, Ying Luo, Wangke Shi, Kiddist Yihunie, Shumeng Hao, Kole Degolier, Chengheng Liao, Huocong Huang, Qing Zhang, Terry Fry, Tao Wang, Chen Yao, Tuoqi Wu

Faculty, Staff and Student Publications

During cancers and infections, self-renewing stem-like CD8+ T cells mediate the response of immunotherapies and replenish terminally exhausted T cells and effector-like T cells. However, the programs governing the lineage choice in chimeric antigen receptor (CAR) T cells are unclear. Here, by simultaneously profiling single-cell chromatin accessibility and transcriptome in the same CAR T cells, we identified heterogeneous chromatin states within CD8+ T cell subsets that foreshadowed transcriptional changes and were primed for regulation by distinct transcription factors. Transcription factors that controlled each CD8+ T cell subset were regulated by high numbers of enhancers and positioned as hubs of gene …

Editorial: Advances And Methods In Mesenchymal Stem Cells, Pamela L Wenzel

Faculty, Staff and Student Publications

No abstract provided.

Explainable Suicide Phenotyping From Initial Psychiatric Evaluation Notes Using Reasoning Large Language Models, Zehan Li, Wanjing Wang, Lokesh Shahani, Rodrigo M Vieira, Salih Selek, Jair Soares, Hongfang Liu, Ming Huang

Faculty, Staff and Student Publications

Clinical phenotyping is the process of extracting patient's observable symptoms and traits to better understand their disease condition. Suicide phenotyping focuses more on behavioral and cognitive characteristics, such as suicide ideation, attempt, and self-injury, to identify suicide risks and improve interventions. In this study, we leveraged the latest reasoning models, namely 4o, o1, and o3-mini, to perform note-level multi-label classification and reasoning generation tasks using previously annotated psychiatric evaluation notes from a safety-net psychiatric inpatient hospital in Harris County, Texas. Compared with the previously finetuned GPT-3.5 model, the out-of-box reasoning models prompted with in-context learning achieved comparable and better performance, …

Monet: A Database For Prediction Of Neoantigens Derived From Microsatellite Loci, Nan Deng, Krishna M Sinha, Eduardo Vilar

Faculty, Staff and Student Publications

BACKGROUND: Microsatellite instability (MSI) secondary to mismatch repair (MMR) deficiency is characterized by insertions and deletions (indels) in short DNA sequences across the genome. These indels can generate neoantigens, which are ideal targets for precision immune interception. However, current neoantigen databases lack information on neoantigens arising from coding microsatellites. To address this gap, we introduce The MicrOsatellite Neoantigen Discovery Tool (MONET).

METHOD: MONET identifies potential mutated tumor-specific neoantigens (neoAgs) by predicting frameshift mutations in coding microsatellite sequences of the human genome. Then MONET annotates these neoAgs with key features such as binding affinity, stability, expression, frequency, and potential pathogenicity using …

Her4 And Egfr Activate Cell Signaling In Nrg1 Fusion-Driven Cancers: Implications For Her2-Her3-Specific Versus Pan-Her Targeting Strategies, Hibiki Udagawa, Monique B Nilsson, Jacqulyne P Robichaux, Junqin He, Alissa Poteete, Hong Jiang, Simon Heeke, Yasir Y Elamin, Yuji Shibata, Shingo Matsumoto, Kiyotaka Yoh, Shogo Okazaki, Takashi Masuko, Igor Odintsov, Romel Somwar, Marc Ladanyi, Koichi Goto, John V Heymach

Faculty, Staff and Student Publications

Introduction: NRG1 gene fusions are clinically actionable alterations identified in NSCLC and other tumors. Previous studies have reported that NRG1 fusions signal through HER2 and HER3 but, thus far, strategies targeting HER3 specifically or HER2-HER3 signaling have exhibited modest activity in patients with NSCLC bearing NRG1 fusions. Although NRG1 fusion proteins can bind HER4 in addition to HER3, the contribution of HER4 and other HER family members in NRG1 fusion-positive cancers is not fully understood.

Methods: We investigated the role of HER4 and EGFR-HER3 signaling in NRG1 fusion-positive cancers using Ba/F3 models engineered to express various HER family members in …

Establishment Of A Brain Tumor Consortium Of Africa: Advancing Collaborative Research And Advocacy For Brain Tumors In Africa, Lateef A Odukoya, Kwadwo Darko, Francis Zerd, Nathalie C Ghomsi, Gloria Kabare, David O Kamson, Jeanette E Eckel-Passow, Robert B Jenkins, Gaspar J Kitange, Andrea O Akinjo, Kabir B Badmos, Olufemi Bankole, Olufemi E Idowu, Claire Karekezi, Elias Edrick, Chukwuyem Ekhator, Victoria M Katasi, Desmond A Brown, Jason Huse, Henry Llewellyn, Margreth Magambo, Michael Magoha, Umaru Barrie, Advera Ngaiza, Arsene D Nyalundja, Minda Okemwa, Lawrence Osei-Tutu, Bernard Petershie, W Elorm Yevudza, Charles C Anunobi, Liadi Tiamiyu, Gbetoho Fortuné Gankpe, Kashaigili Heronima, Dominique Higgins, Kristin Schroeder, Teddy Totimeh, James Balogun, Beverly Cheserem, Arnold B Etame, Ekokobe Fonkem

Faculty, Staff and Student Publications

Background: Brain tumors represent a significant global health challenge, with rising incidence and mortality impacting individuals worldwide and contributing to cancer-related morbidity and mortality. In Africa, this burden is exacerbated by limited access to advanced diagnostics, treatment options, and multidisciplinary care, compounded by the absence of standardized cancer registration and tumor biobanking. The introduction of molecular diagnostics, as outlined in the 2021 World Health Organization central nervous system (CNS) tumor classification, adds complexity to brain tumor management, particularly in regions with scarce resources.

Methods: To address these issues, the Brain Tumor Consortium for Africa (BTCA) was established in 2023, bringing …

Circulating Cancer-Associated Macrophage-Like Cells And Macrophage-Related Cytokines In Obese Patients With Advanced Breast Cancer Who Undergo Neoadjuvant Chemotherapy, Toshiaki Iwase, Aaroh Parikh, Dong Wenli, Yu Shen, Daniel L Adams, Cha-Mei Tang, Evan N Cohen, James M Reuben, Tushaar Vishal Shrimanker, Sudpreeda Chainitikun, Kumiko Kida, Akshara Singareeka Raghavendra, Maryanne E Sapon, Onur Sahin, Anjali James, Nithya Sridhar, Ann H Klopp, Debasish Tripathy, Naoto T Ueno

Faculty, Staff and Student Publications

Purpose: Cancer-associated macrophage-like cells (CAMLs) are rare, gigantic, and atypical circulating cells found exclusively in the peripheral blood of patients with solid cancers. Obesity-induced hypoxia attracts macrophages to the tumor microenvironment, where they contribute to establishing chronic inflammation, leading to cancer progression. We hypothesized that obese patients with advanced breast cancer may have CAML profiles different from those of nonobese patients, and these profiles may correlate with proinflammatory markers or other macrophage-related markers.

Methods: We prospectively collected 20 mL of peripheral blood from patients diagnosed with stage 2-4 breast cancer. We identified CAMLs using the CellSieve microfiltration system and in …

Blood-Based Microrna Biomarker Signature Of Early-Stage Pancreatic Ductal Adenocarcinoma With Lead-Time Trajectory In Prediagnostic Samples, Warapen Treekitkarnmongkol, Jianliang Dai, Suyu Liu, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Hiroshi Katayama, Sinchita Roy-Chowdhuri, George A Calin, Randall E Brand, Paul D Lampe, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen

Faculty, Staff and Student Publications

Background and aims: Clinically validated biomarker of pancreatic ductal adenocarcinoma (PDAC), carbohydrate antigen 19-9 (CA19-9), has limited sensitivity and specificity for early-stage disease. Circulating miRNAs in plasma associated with cancer relevant pathways were developed as early detection biomarkers.

Methods: 2083 miRNAs in 15 μl of plasma from multicenter age-matched cohorts (N = 203: healthy controls, n = 46; pancreatitis controls, n = 36; diagnosed cases: n = 121) and a prediagnostic Prostate, Lung, Colorectal, and Ovarian age- and gender-matched cohort (N = 96; controls, n = 48; prediagnosed cases, n = 48) were interrogated. A three-miRNA biomarker signature …

The Mir-17-92 Cluster In Cardiac Health And Disease, Yuhan Cao, Mingjie Zheng, Maham A Sewani, Jun Wang

Faculty, Staff and Student Publications

MicroRNAs (miRs) are small noncoding RNAs that play important roles in both physiological and pathological processes through post-transcriptional regulation. The miR-17-92 cluster includes six individual members: miR-17, miR-18a, miR-19a, miR-19b-1, miR-20a, and miR-92a-1. The miR-17-92 cluster has been extensively studied and reported to broadly function in cancer biology, immunology, neurology, pulmonology, and cardiology. This review focuses on its roles in heart development and cardiac diseases. We briefly introduce the nature of the miR-17-92 cluster and its crucial roles in both normal development and the pathogenesis of various diseases. We summarize the recent progress in understanding the versatile roles of miR-17-92 …

Single-Molecule Fret Analyses Of Nmda Receptors, Ryan J Durham, Vasanthi Jayaraman

Faculty, Staff and Student Publications

Single-molecule fluorescence resonance energy transfer (smFRET) enables the real-time observation of conformational changes in a single protein molecule of interest. These observations are achieved by attaching fluorophores to proteins of interest in a site-specific manner and investigating the FRET between the fluorophores. Here we describe the method wherein the FRET is studied by adhering the protein molecules to a slide using affinity-based interactions and measuring the fluorophores' fluorescence intensity from a single molecule over time. The resulting information can be used to derive distance values for a point-to-point measurement within a protein or to calculate kinetic transition rates between various …

Hormone Regulation Of Corticotropin-Releasing Factor Receptor 1 In The Female Mouse Brain, Rose M De Guzman, Jason S Jacobskind, Zachary J Rosinger, Krystyna A Rybka, Katherine E Parra, Aya L Caballero, Massoud S Sharif, Nicholas J Justice, Damian G Zuloaga

Faculty, Staff and Student Publications

Introduction: Corticotropin-releasing factor receptor 1 (CRFR1) is a key regulator of neuroendocrine and behavioral stress responses. Previous studies have demonstrated that CRFR1 in certain hypothalamic and preoptic brain areas is modified by chronic stress and during the postpartum period in female mice, although the potential hormonal contributors to these changes are unknown.

Methods: This study focused on determining the contributions of hormones associated with stress and the maternal period (glucocorticoids, prolactin, estradiol/progesterone) on CRFR1 levels using a CRFR1-GFP reporter mouse line and immunohistochemistry.

Results: Administration of dexamethasone, an agonist of the glucocorticoid receptor, elevated CRFR1 in the anteroventral periventricular nucleus …

Accelerate Vaccine Development Using Seamless Phase 2/3 Trial Designs, Jia-Ying Yang, Guo-Chun Li, Ying Yuan

Faculty, Staff and Student Publications

Background: Traditional vaccine development, often a lengthy and costly process of three separated phases. However, the swift development of COVID-19 vaccines highlighted the critical importance of accelerating the approval of vaccines. This article showcases a seamless phase 2/3 trial design to expedite the development process, particularly for multi-valent vaccines.

Research design and methods: This study utilizes simulation to compare the performance of seamless phase 2/3 design with that of conventional trial design, specifically by re-envisioning a 9-valent HPV vaccine trial. Across three cases, several key performance metrics are evaluated: overall power, type I error rate, average sample size, trial duration, …

Circulating Tumor Dna (Ctdna) As A Biomarker Of Response To Therapy In Advanced Hepatocellular Carcinoma Treated With Nivolumab, Yehia I Mohamed, Sunyoung S Lee, Tarik Demir, Shadi Chamseddine, Zishuo Ian Hu, Lianchun Xiao, Khaled Elsayes, Jeffrey S Morris, Robert A Wolff, Rikita Hiatia, Aliya Qayyum, Asif Rashid, Dan G Duda, James C Yao, Michael Lapelusa, Eugene J Koay, Armeen Mahvash, Ahmed Al Azzam, Ecaterina E Dumbrava, Manal Hassan, Hesham M Amin, Ahmed Omar Kaseb

Faculty, Staff and Student Publications

Background: Circulating tumor DNA (ctDNA) is a promising non-invasive marker for detection, diagnosis, treatment selection, and prognosis of hepatocellular carcinoma (HCC).

Objective: This study aimed to examine the utility of ctDNA as a prognostic and predictive tool in HCC patients treated with nivolumab.

Methods: We analyzed pre-treatment ctDNA from 44 HCC patients using comprehensive genomic testing on a commercially available platform. We utilized log rank test and univariate Cox models to correlate overall survival (OS) and progression-free survival (PFS) with ctDNA expressions.

Results: Of 44 patients, 77.3% were men with median age of 67 years. All but 3 patients had …

Nontuberculosis Mycobacteria (Ntm) Infections In Patients With Leukemia: A Single Center Case Series, Jennifer Marvin-Peek, Koji Sasaki, Dimitrios P Kontoyiannis, Javier Adachi, Maro Ohanian, Koichi Takahashi, Ghayas C Issa, Steven Kornblau, Hussein A Abbas

Faculty, Staff and Student Publications

Patients with leukemia experience profound immunosuppression both from their underlying disease as well as chemotherapeutic treatment. Little is known about the prevalence and clinical presentation of nontuberculous mycobacteria (NTM) in this patient population. We identified six cases of NTM infection from 29,743 leukemia patients who had acid-fast bacilli (AFB) cultures. Four cases had bloodstream infections and five had disseminated disease, including one who presented with an unusual case of diffuse cellulitis/myositis. All patients were lymphopenic at time of diagnosis, and two patients ultimately died from their NTM infection. NTM infections are a rare, but potentially life-threatening infection in patients with …

Emerging Therapeutic Options For Follicular-Derived Thyroid Cancer In The Era Of Immunotherapy, Naimah Turner, Sarah Hamidi, Rim Ouni, Rene Rico, Ying C Henderson, Maria Puche, Sayan Alekseev, Jocelynn G Colunga-Minutti, Mark E Zafereo, Stephen Y Lai, Sang T Kim, Maria E Cabanillas, Roza Nurieva

Faculty, Staff and Student Publications

Although most follicular-derived thyroid cancers are well differentiated and have an overall excellent prognosis following treatment with surgery and radioiodine, management of advanced thyroid cancers, including iodine refractory disease and poorly differentiated/undifferentiated subtypes, is more challenging. Over the past decade, better understanding of the genetic drivers and immune milieu of advanced thyroid cancers has led to significant progress in the management of these patients. Numerous targeted kinase inhibitors are now approved by the U.S Food and Drug administration (FDA) for the treatment of advanced, radioiodine refractory differentiated thyroid cancers (DTC) as well as anaplastic thyroid cancer (ATC). Immunotherapy has also …

Influence Of Oral Microbiome On Longitudinal Patterns Of Oral Mucositis Severity In Patients With Squamous Cell Carcinoma Of The Head And Neck, Liangliang Zhang, Erin Marie D San Valentin, Teny M John, Robert R Jenq, Kim-Anh Do, Ehab Y Hanna, Christine B Peterson, Cielito C Reyes-Gibby

Faculty, Staff and Student Publications

Background: This study investigated the influence of oral microbial features on the trajectory of oral mucositis (OM) in patients with squamous cell carcinoma of the head and neck.

Methods: OM severity was assessed and buccal swabs were collected at baseline, at the initiation of cancer treatment, weekly during cancer treatment, at the termination of cancer treatment, and after cancer treatment termination. The oral microbiome was characterized via the 16S ribosomal RNA V4 region with the Illumina platform. Latent class mixed-model analysis was used to group individuals with similar trajectories of OM severity. Locally estimated scatterplot smoothing was used to fit …

Enhancing Efficacy Of The Mek Inhibitor Trametinib With Paclitaxel In Kras-Mutated Colorectal Cancer, Susmita Ghosh, Fan Fan, Reid Powell, Yong Sung Park, Clifford Stephan, E Scott Kopetz, Lee M Ellis, Rajat Bhattacharya

Faculty, Staff and Student Publications

Background: KRAS is frequently mutated in the tumors of patients with metastatic colorectal cancer (mCRC) and thus represents a valid target for therapy. However, the strategies of targeting KRAS directly and targeting the downstream effector mitogen-activated protein kinase kinase (MEK) via monotherapies have shown limited efficacy. Thus, there is a strong need for novel, effective combination therapies to improve MEK-inhibitor efficacy in patients with KRAS-mutated mCRC.

Objective: Our objective was to identify novel drug combinations that enhance MEK-inhibitor efficacy in patients with KRAS-mutated mCRC.

Design: In this study, we performed unbiased high-throughput screening (HTS) to identify drugs that …

Enhanced Tumor Control And Survival In Preclinical Models With Adoptive Cell Therapy Preceded By Low-Dose Radiotherapy, Nahum Puebla-Osorio, Natalie Wall Fowlkes, Hampartsoum B Barsoumian, Kristina Xega, Gitika Srivastava, Claudia Kettlun-Leyton, Sara Nizzero, Tiffany Voss, Thomas S Riad, Christina Wong, Ailing Huang, Yun Hu, Joylise Mitchell, Mingee Kim, Zahid Rafiq, Kewen He, Duygu Sezen, Ethan Hsu, Fatemeh Masrorpour, Aurian Maleki, Carola Leuschner, Maria Angelica Cortez, Philipp Oertle, Marko Loparic, Marija Plodinec, Janet L Markman, James W Welsh

Faculty, Staff and Student Publications

Introduction: Effective infiltration of chimeric antigen receptor T (CAR-T) cells into solid tumors is critical for achieving a robust antitumor response and improving therapeutic outcomes. While CAR-T cell therapies have succeeded in hematologic malignancies, their efficacy in solid tumors remains limited due to poor tumor penetration and an immunosuppressive tumor microenvironment. This study aimed to evaluate the potential of low-dose radiotherapy (LDRT) administered before T-cell therapy to enhance the antitumor effect by promoting CAR-T cell infiltration. We hypothesized that combining LDRT with T-cell therapy would improve tumor control and survival compared to either treatment alone.

Methods: We investigated this hypothesis …

Combination Chemotherapy Optimization With Discrete Dosing, Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J Schaefer, Clifton D Fuller

Faculty, Staff and Student Publications

Chemotherapy drug administration is a complex problem that often requires expensive clinical trials to evaluate potential regimens; one way to alleviate this burden and better inform future trials is to build reliable models for drug administration. This paper presents a mixed-integer program for combination chemotherapy (utilization of multiple drugs) optimization that incorporates various important operational constraints and, besides dose and concentration limits, controls treatment toxicity based on its effect on the count of white blood cells. To address the uncertainty of tumor heterogeneity, we also propose chance constraints that guarantee reaching an operable tumor size with a high probability in …

The Use Of Mr-Guided Radiation Therapy For Head And Neck Cancer And Recommended Reporting Guidance, Brigid A Mcdonald, Riccardo Dal Bello, Clifton D Fuller, Panagiotis Balermpas

Faculty, Staff and Student Publications

Although magnetic resonance imaging (MRI) has become standard diagnostic workup for head and neck malignancies and is currently recommended by most radiological societies for pharyngeal and oral carcinomas, its utilization in radiotherapy has been heterogeneous during the last decades. However, few would argue that implementing MRI for annotation of target volumes and organs at risk provides several advantages, so that implementation of the modality for this purpose is widely accepted. Today, the term MR-guidance has received a much broader meaning, including MRI for adaptive treatments, MR-gating and tracking during radiotherapy application, MR-features as biomarkers and finally MR-only workflows. First studies …

Considerations On Design And Analysis Of External Control In Pediatric Oncology, Jingjing Ye, Haitao Pan, Gregory Reaman, Satrajit Roychoudhury, Chengxing Lu, Lindsay A Renfro, Yuan Ji, Rong Liu, Ying Yuan, Weidong Zhang

Faculty, Staff and Student Publications

Pediatric cancer consists of a diverse group of rare diseases. Due to limited patient populations, standard randomized and controlled trials are often infeasible. As a result, single-arm trials are common in pediatric oncology and the use of external controls is often desirable or necessary to help generate actionable evidence and contextualize trial results. In this paper, we illustrate unique features in pediatric oncology clinical trials and describe their impact on the use of external controls. Various types of relevant external control data sources are described in terms of their utility and drawbacks. Statistical methodologies and design implications with external control …

Sample Multiplexing In Cytof: Path To Optimize Single-Cell Proteomic Profiling, Muharrem Muftuoglu, Michael Andreeff

Faculty, Staff and Student Publications

Sample multiplexing significantly enhanced the depth of single-cell proteomic analysis in CyTOF (Cytometry by Time-Of-Flight). New polymer-based chelators have broadened the utility of metal isotopes, enabling improved tagging and simultaneous analysis of multiple samples. These approaches minimize batch effects, streamline experiments, conserve valuable samples, reduce costs, enhance throughput, and increase the accuracy of biological data, thereby facilitating novel discoveries.

Generation Of A Wt1 Conditional Deletion, Nuclear Red Fluorescent Protein Reporter Allele In The Mouse, Jace A Aloway, E Cristy Ruteshouser, Vicki Huff, Richard R Behringer

Faculty, Staff and Student Publications

A Wt1 conditional deletion, nuclear red fluorescent protein (RFP) reporter allele was generated in the mouse by gene targeting in embryonic stem cells. Upon Cre-mediated recombination, a deletion allele is generated that expresses RFP in a Wt1-specific pattern. RFP expression was detected in embryonic and adult tissues known to express Wt1, including the kidney, mesonephros, and testis. In addition, RFP expression and WT1 co-localization was detected in the adult uterine stroma and myometrium, suggesting a role in uterine function. Crosses with Wnt7a-Cre transgenic mice that express Cre in the Müllerian duct epithelium activate Wt1-directed RFP expression in the epithelium of …

A Goldilocks Computational Protocol For Inhibitor Discovery Targeting Dna Damage Responses Including Replication-Repair Functions, Davide Moiani, John A Tainer

Faculty, Staff and Student Publications

While many researchers can design knockdown and knockout methodologies to remove a gene product, this is mainly untrue for new chemical inhibitor designs that empower multifunctional DNA Damage Response (DDR) networks. Here, we present a robust Goldilocks (GL) computational discovery protocol to efficiently innovate inhibitor tools and preclinical drug candidates for cellular and structural biologists without requiring extensive virtual screen (VS) and chemical synthesis expertise. By computationally targeting DDR replication and repair proteins, we exemplify the identification of DDR target sites and compounds to probe cancer biology. Our GL pipeline integrates experimental and predicted structures to efficiently discover leads, allowing …

Aging-Related Biomarker Discovery In The Era Of Immune Checkpoint Inhibitors For Cancer Patients, Abdullah Al-Danakh, Mohammed Safi, Yuli Jian, Linlin Yang, Xinqing Zhu, Qiwei Chen, Kangkang Yang, Shujing Wang, Jianjun Zhang, Deyong Yang

Faculty, Staff and Student Publications

Older patients with cancer, particularly those over 75 years of age, often experience poorer clinical outcomes compared to younger patients. This can be attributed to age-related comorbidities, weakened immune function, and reduced tolerance to treatment-related adverse effects. In the immune checkpoint inhibitors (ICI) era, age has emerged as an influential factor impacting the discovery of predictive biomarkers for ICI treatment. These age-linked changes in the immune system can influence the composition and functionality of tumor-infiltrating immune cells (TIICs) that play a crucial role in the cancer response. Older patients may have lower levels of TIICs infiltration due to age-related immune …

Editorial: Genetic And Cellular Heterogeneity In Tumors, Zishan Wang, Li Ma, Juan Xu, Chunjie Jiang

Faculty, Staff and Student Publications

No abstract provided.

Egfr, Hla-G, Cd70, C-Met, And Ny-Eso1 As Potential Biomarkers In High Grade Epithelial Ovarian Carcinoma, Duc Vo, Yan Liu, Anil K Sood, Katy Rezvani, Amir A Jazaeri, Jinsong Liu

Faculty, Staff and Student Publications

High grade epithelial ovarian carcinoma is an aggressive tumor. Treatment includes platinum therapy, however it recurs in most patients due to therapy resistance. In this project, we study the immunohistochemical (IHC) expression of five potential biomarkers/prognostic markers in high grade epithelial ovarian carcinoma: EGFR, HLA-G, CD70, c-MET, and NY-ESO1. A cohort of 274 patients is used. We compare the IHC expression with age, stage, ascites status, family history of cancer, disease free survival (DFS) and overall survival (OS). EGFR expression is significantly correlated with family history and worse OS. HLA-G is associated with worse OS. To confirm the results of …

Predicting Suicidality In Late-Life Depression By 3d Convolutional Neural Network And Cross-Sample Entropy Analysis Of Resting-State Fmri, Chemin Lin, Chih-Mao Huang, Wei Chang, You-Xun Chang, Ho-Ling Liu, Shu-Hang Ng, Huang-Li Lin, Tatia Mei-Chun Lee, Shwu-Hua Lee, Shun-Chi Wu

Faculty, Staff and Student Publications

BACKGROUND: Predicting suicide is a pressing issue among older adults; however, predicting its risk is difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in predicting complex behavior such as suicide. As depression remained the strongest risk for suicide, we aimed to apply deep learning algorithms to identify suicidality in a group with late-life depression (LLD).

METHODS: We enrolled 83 patients with LLD, 35 of which were non-suicidal and 48 were suicidal, including 26 with only suicidal ideation and 22 with past suicide attempts, for resting-state functional magnetic resonance imaging (MRI). Cross-sample entropy (CSE) analysis …