Digital Commons Network^™

Todo: A Triple-Outcome Double-Criterion Optimal Design For Dose Monitoring-And-Optimization In Multi-Dose Randomized Trials, Jingyi Zhang, Heng Zhou, Nolan A Wages, Zifang Guo, Fang Liu, Fangrong Yan

Faculty, Staff and Student Publications

Detecting the efficacy signal and determining the optimal dose are critical steps to increase the probability of success and expedite the drug development in cancer treatment. After identifying a safe dose range through phase I studies, conducting a multidose randomized trial becomes an effective approach to achieve this objective. However, there have been limited formal statistical designs for such multidose trials, and dose selection in practice is often ad hoc, relying on descriptive statistics. We propose a Bayesian optimal two-stage design to facilitate rigorous dose monitoring and optimization. Utilizing a flexible Bayesian dynamic linear model for the dose-response relationship, we …

Glutamate Gating Of Ampa-Subtype Iglurs At Physiological Temperatures, Anish Kumar Mondal, Elisa Carrillo, Vasanthi Jayaraman, Edward C Twomey

Faculty, Staff and Student Publications

Ionotropic glutamate receptors (iGluRs) are tetrameric ligand-gated ion channels that mediate most excitatory neurotransmission1. iGluRs are gated by glutamate, where on glutamate binding, they open their ion channels to enable cation influx into postsynaptic neurons, initiating signal transduction1,2. The structural mechanics of how glutamate gating occurs in full-length iGluRs is not well understood. Here, using the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid subtype iGluR (AMPAR), we identify the glutamate-gating mechanism. AMPAR activation by glutamate is augmented at physiological temperatures. By preparing AMPARs for cryogenic-electron microscopy at these temperatures, we captured the glutamate-gating mechanism. Activation by glutamate initiates ion channel opening that involves all ion …

Defining The Optimal Radiation-Induced Lymphopenia Metric To Discern Its Survival Impact In Esophageal Cancer, Pim J J Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Radhe Mohan, Peter S N Van Rossum

Faculty, Staff and Student Publications

Purpose: A detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival.

Methods and materials: Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004-2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts-and calculated derivatives-at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) …

What Rankings, Ratings, And Utilities Do Breast Cancer Patients Place On Tissue- And Implant-Based Breast Reconstruction?, Haoqi Wang, Nsikak M Jackson, Danmeng Huang, Rachel E Alexander, Mary Catherine Bordes, Tzuan A Chen, Summer E Hanson, Mark Schaverien, Mia K Markey, Gregory P Reece, Scott B Cantor, Aubri S Hoffman

Faculty, Staff and Student Publications

Background: Utility analysis is well-established for comparing treatment options but challenging to assess with patients in clinical care. Preference assessment may be more feasible, but it is not yet known whether it correlates with utilities. The aims of this study were to (1) assess women's rankings, ratings, and utilities for tissue-based, implant-based, and no reconstruction after total mastectomy; and (2) explore assessment methods and correlations with clinical and psychosocial factors.

Methods: Forty patients considering or undergoing breast reconstruction completed 3 assessments-card ranking, visual analog scale, and standard gamble-and psychosocial questionnaires. Each woman rated 9 health states with case-matched images: 4 …

Chd1 Loss Reprograms Srebp2-Driven Cholesterol Synthesis To Fuel Androgen-Responsive Growth And Castration Resistance In Spop-Mutated Prostate Tumors, Feiyu Chen, Haoyan Li, Yin Wang, Ximing Tang, Kevin Lin, Chenling Meng, Javier Leo, Xin Liang, Jie Zhang, Vivien Van, Iqbal Mahmud, Bo Wei, Philip L Lorenzi, Maria G Raso, Ana Aparicio, Yue Lu, Daniel E Frigo, Boyi Gan, Di Zhao

Faculty, Staff and Student Publications

Despite undergoing castration, most individuals with prostate cancer (PCa) experience progression to castration-resistant PCa (CRPC), in which the androgen receptor (AR) remains an important driver. Concurrent genetic alterations in SPOP and CHD1 define a unique subtype of PCa, but their interactions in tumor progression and therapy response remain unclear. Here, we provide genetic evidence supporting that CHD1 loss accelerates disease progression and confers resistance to castration in males with SPOP-mutated PCa. By leveraging genetic engineering and multiomics, we uncovered a noncanonical function of CHD1 in lipid metabolism reprogramming via repressing the SREBP2 transcriptome. Loss of CHD1 induces cholesterol production, supplies …

Treatment Of C-Met Antibody-Drug Conjugate Asymptomatic Pneumonitis With A Novel Steroid Regimen In Non-Small Cell Lung Cancer: A Case Report, Daniel A Fox, Christine Tran, Vincent Blot, David S Hong

Faculty, Staff and Student Publications

Antibody-drug conjugates (ADCs) are a potent class of antineoplastic drugs that deliver cytotoxic agents via targeting with monoclonal antibodies; however, ADCs are associated with high rates of lung toxicities, limiting the therapeutic potential in many patients. We report a case of a patient with metastatic non-small cell lung cancer taking the ADC telisotuzumab vedotin (Teliso V) plus osimtertinib who developed ADC-induced pneumonitis despite clinical benefit. This patient was able to tolerate treatment for a prolonged period on a novel steroid regimen, using steroids when pneumonitis was asymptomatic but radiologically evident and as a daily suppressant. This treatment strategy may have …

Air Embolism After Percutaneous Lung Biopsy Or Ablation: A Report Of Six Cases, Rebecca Choi, Haylie Kieu-Mi Phan, Varshana Gurusamy, Rahul A Sheth, Bruno C Odisio, Alda L Tam

Faculty, Staff and Student Publications

Systemic air embolism is a rare but potentially life-threatening complication of percutaneous lung biopsy and ablation. This report describes six patients (four male, two female) with air embolism following CT-guided lung interventions at two institutions between January 2021 and March 2024. Air embolisms were identified in locations such as the pulmonary vein, left ventricle, and coronary arteries, with clinical presentations ranging from asymptomatic to life-threatening events. Prompt intervention, including oxygen therapy, patient repositioning, and intravenous administration of epinephrine in cases of cardiac arrest, resulted in favorable outcomes. This series highlights the importance of early detection of systemic air embolism and …

Igtp: Learning Interpretable Cellular Embedding For Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G Pilié, Pratip K Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai

Faculty, Staff and Student Publications

Deep-learning models like Variational AutoEncoder have enabled low dimensional cellular embedding representation for large-scale single-cell transcriptomes and shown great flexibility in downstream tasks. However, biologically meaningful latent space is usually missing if no specific structure is designed. Here, we engineered a novel interpretable generative transcriptional program (iGTP) framework that could model the importance of transcriptional program (TP) space and protein-protein interactions (PPI) between different biological states. We demonstrated the performance of iGTP in a diverse biological context using gene ontology, canonical pathway, and different PPI curation. iGTP not only elucidated the ground truth of cellular responses but also surpassed other …

Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, Leonardo Aguilar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes were the most targeted fusion gene group among multiple major cellular gene groups. Kinase inhibitors disrupt aberrant signaling cascades and inhibit tumor progression, yet the specific mechanisms of action of the U.S. Food and Drug Administration (FDA)-approved inhibitors in the context of kinase fusion oncoproteins remain largely unknown. This gap limits our ability to develop personalized therapies and next-generation kinase inhibitors. To address this, we developed a novel in silico pipeline for predicting 3D structures of kinase fusion proteins and performing structure-based virtual screening. This approach enables large-scale structural annotation and drug screening across pan-cancer kinase fusions. …

Impact Of Comorbidities On The Mortality Benefits Of Lung Cancer Screening: A Post-Hoc Analysis Of The Plco And Nlst Trials, Sebastien Gendarme, Ehsan Irajizad, James P Long, Johannes F Fahrmann, Jennifer B Dennison, Seyyed Mahmood Ghasemi, Rongzhang Dou, Robert J Volk, Rafael Meza, Iakovos Toumazis, Florence Canoui-Poitrine, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

Objectives: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed tomography.

Methods: We developed a comorbidity index (Prostate, Lung, Colorectal, and Ovarian comorbidity index [PLCO-ci]) using LCS-eligible participants' data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts five-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated using the area under the receiver operating characteristics curve. In NLST, LC mortality (per original publication) was compared between low-dose computed tomography and chest radiograph arms across the PLCO-ci quintile …

Genomic Insights Into Oxalate Content In Spinach: A Genome-Wide Association Study And Genomic Prediction Approach, Haizheng Xiong, Kenani Chiwina, Waltram Second Ravelombola, Yilin Chen, Ibtisam Alatawi, Qun Luo, Theresa M. Phiri, Beiquan Mou, Ainong Shi

Horticulture Faculty Publications and Presentations

Oxalate content in spinach is a key trait of interest due to its relevance to human health. Understanding the genetic basis of it can facilitate the development of spinach varieties with reduced oxalate levels. In pursuit of understanding the genetic determinants, a diverse panel comprising 288 spinach accessions underwent thorough phenotyping of oxalate content and were subjected to whole-genome resequencing, resulting in a comprehensive dataset encompassing 14 386 single-nucleotide polymorphisms (SNPs). Leveraging this dataset, we conducted a genome-wide association study (GWAS) to identify noteworthy SNPs associated with oxalate content. Furthermore, we employed genomic prediction (GP) via cross-prediction, utilizing five GP …

Bilateral Germ Cell Tumor Of The Testis: Biological And Clinical Implications For A Stem Versus Genetic Origin Of Cancers, Jamaal C Jackson, Darren Sanchez, Aron Y Joon, Marcos R Estecio, Andrew C Johns, Matthew Campbell, Louis L Pisters, Charles C Guo, Miao Zhang, Niki M Zacharias, Shi-Ming Tu

Faculty, Staff and Student Publications

Germ cell tumors of the testis (GCTs) provide an ideal tumor model to investigate the cellular versus genetic origin of cancers. In this single institutional study, we evaluated 38 patients with bilateral GCT, including tumors that occurred simultaneously (synchronous) and those occurring at different times (metachronous). For nine of these patients, DNA was isolated from the right and left GCT to determine the genomic and epigenetic differences between tissues using whole-exome sequencing (WES) and reduced representation bisulfite sequencing (RRBS). We found that seminomas and non-seminomas are molecularly distinct based on DNA methylation and not due to synchronous or metachronous disease. …

Cognitive Outcomes In Prostate Cancer Treatment: Insights From The Odenza Trial And Future Considerations, Bryan J Neth, Jeffrey S Wefel, Kevin T Nead

Faculty, Staff and Student Publications

No abstract provided.

Network-Based Clustering Unveils Interconnected Landscapes Of Genomic And Clinical Features Across Myeloid Malignancies, Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Jack Kuipers

Faculty, Staff and Student Publications

Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes. We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups. A key strength is its ability to include presumed causal directions in the edges linking clinical and mutational features, and account for them aptly in the clustering. In a cohort of 1323 patients, we identify subgroups that outperform established risk classifications in prognostic accuracy. Our approach generalises well to unseen cohorts with classification based on our subgroups similarly offering advantages in …

Use Of Natural Language Processing To Identify Patients With Inflammatory Breast Cancer Across A Health-Care System, Ramez Kouzy, Megumi Kai, Huong T Le-Petross, Sadia Saleem, Wendy A Woodward

Faculty, Staff and Student Publications

Early identification and referral of inflammatory breast cancer remains challenging within large health-care systems, limiting access to specialized care. We developed and evaluated an artificial intelligence-driven platform integrating natural language processing (NLP) with electronic health records to systematically identify potential inflammatory breast cancer patients across 5 campuses. Our platform analyzed 8 623 494 clinical notes, implementing a sequential review process: NLP screening followed by human validation and multidisciplinary confirmation. Initial NLP screening achieved 55.4% positive predictive value, improving to 78.4% with human-in-the-loop review. Notably, among 255 confirmed patients with inflammatory breast cancer, our system demonstrated 92.2% sensitivity, identifying 57 patients …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Erin Sundermann, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …

Trends In Medicare Payments Within The First Year Of Cervical Cancer Diagnosis, 2010–2019, Mohammad A Karim, Ning Zhang, Hui Zhao, Ya-Chen Tina Shih, Lakshmi S M Kodali, Sanjay Shete

Faculty, Staff and Student Publications

Assessing Medicare payment trends for cervical cancer care is important to mitigate the financial impact on Medicare. This multiyear cross-sectional study included 65 years and older cervical cancer patients in SEER registries diagnosed between 2010 and 2019 who had continuous Part A and B Medicare coverage at least 6 months before diagnosis and at least within the first year of diagnosis and were not enrolled in any Health Maintenance Organization (HMO) in this duration. The main outcomes were trends in total and service-specific mean monthly Medicare payments within the first year of a cervical cancer diagnosis. This study included 2147 …

Neurotransmitter Power Plays: The Synaptic Communication Nexus Shaping Brain Cancer, Jayanta Mondal, Jason T Huse

Faculty, Staff and Student Publications

Gliomas and brain metastases are notorious for their dismal prognosis and low survival rates, a challenge exacerbated by our incomplete grasp of the complex dynamics that govern brain cancers. Recently, a groundbreaking paradigm shift has emerged, highlighting the crucial role of synaptic communication between neurons and brain tumor cells in reshaping neuronal signaling to favor tumor growth. This review delves into the pivotal interplay of synaptic mechanisms, focusing on excitatory glutamatergic and inhibitory GABAergic pathways. Glutamatergic synapses utilize glutamate to propagate excitatory signals, while GABAergic synapses employ gamma-aminobutyric acid (GABA) to inhibit neuronal firing. Glutamatergic signaling can be broadly classified …

Chemotherapy-Free Treatment With Radiotherapy And Immunotherapy For Locally Advanced Non-Small Cell Lung Cancer, M Zeeshan Ozair, Balazs Halmos, Angelica D'Aiello, Jaewon Yun, Andrea R Filippi, Steven H Lin, Nitin Ohri

Faculty, Staff and Student Publications

Background: Concurrent chemoradiotherapy (CRT) followed by immunotherapy is a standard treatment for locally advanced non-small cell lung cancer (LA-NSCLC), yet many patients are ineligible due to treatment-related toxicity or poor functional status. Chemotherapy-free approaches using radiotherapy (RT) and immunotherapy may offer a safer and equally effective alternative in select patient populations.

Methods: A comprehensive literature review was conducted using PubMed, Google Scholar, and relevant conference proceedings focusing on trials between 2000 and 2024. Studies investigating chemotherapy-free regimens combining RT and immunotherapy in LA-NSCLC were analyzed, with emphasis on clinical outcomes, biomarker use, treatment sequencing, radiation dose/fractionation, and safety.

Results: Multiple …

Maternal Dietary, Nutritional Status, And Its Association With Low-Birth Weight: A Scoping Review, Tri Siswati, Devi Septia Ningrum, Adinda Safitri, Almira Sitasari

Indonesian Journal of Public Health Nutrition (IJPHN)

Maternal diet and nutritional status during pregnancy influence birth outcomes. This review article aims to synthesize key studies examining the relationship between maternal dietary intake, nutritional status, and the occurrence of low birth weight (LBW). This study applies a scoping review from PubMed and Google Scholar (2018–2023). Observational and experimental studies were included. Articles met the criteria if they involved pregnant women aged 17+, human studies, full-text availability, and were in English or Indonesian. Fourteen studies met the inclusion criteria and were analyzed. The findings revealed that maternal intake of essential macronutrients, including energy and protein, along with key micronutrients …

Intermittent Fasting And Cardiometabolic Health In Adults With Obesity: A Scoping Review, Tri Siswati, Lathifa Zahra Putri Nugroho, Natasya Nurul Gina, Almira Sitasari, Agus Wijanarka

Indonesian Journal of Public Health Nutrition (IJPHN)

Obesity is a significant global health challenge, with adverse impacts on cardiometabolic health such as hypertension, dyslipidemia, and insulin resistance. One promising intervention in obesity management is intermittent fasting (PI). However, scientific evidence on the impact of IF on cardiometabolic health is still limited. This study used a scoping review design to evaluate the association between IF and cardiometabolic health in obese adults. Reference sources are available in English at least abstract between 2015–2023 as well as from PubMed and Google Scholar web sources. The search keywords on PubMed are "Adult AND intermittent fasting AND cardiometabolic" and on Google Scholar …

Lung Cancer Risk Prediction In Patients With Persistent Pulmonary Nodules Using The Brock Model And Sybil Model, Hui Li, Morteza Salehjahromi, Myrna C B Godoy, Kang Qin, Courtney M Plummer, Lingzhi Hong, Xiuning Le, Natalie Vokes, Bingnan Zhang, Haniel A Araujo, Mehmet Altan, Carol C Wu, Mara B Antonoff, Edwin J Ostrin, Don L Gibbons, John V Heymach, J Jack Lee, David E Gerber, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Background/objectives: Persistent pulmonary nodules are at higher risk of developing into lung cancers. Assessing their future cancer risk is essential for successful interception. We evaluated the performance of two risk prediction models for persistent nodules in hospital-based cohorts: the Brock model, based on clinical and radiological characteristics, and the Sybil model, a novel deep learning model for lung cancer risk prediction.

Methods: Patients with persistent pulmonary nodules-defined as nodules detected on at least two computed tomography (CT) scans, three months apart, without evidence of shrinkage-were included in the retrospective (n = 130) and prospective (n = 301) cohorts. …

Enhanced And Interpretable Prediction Of Multiple Cancer Types Using A Stacking Ensemble Approach With Shap Analysis

Faculty, Staff and Student Publications

Background: Cancer is a leading cause of death worldwide, and its early detection is crucial for improving patient outcomes. This study aimed to develop and evaluate ensemble learning models, specifically stacking, for the accurate prediction of lung, breast, and cervical cancers using lifestyle and clinical data.

Methods: 12 base learners were trained on datasets for lung, breast, and cervical cancer. Stacking ensemble models were then developed using these base learners. The models were evaluated for accuracy, precision, recall, F1-score, AUC-ROC, MCC, and kappa. An explainable AI technique, SHAP, was used to interpret model predictions.

Results: The stacking …

Estimated Amounts Of Terrestrial Carbon Mobilized And Sequestered By The 1980 Mount St. Helens Eruption, Washington State, Usa, Lizzet G. Reyes

Dissertations and Theses

Volcanic eruptions significantly influence the geologic carbon cycle by emitting CO₂ and mobilizing terrestrial carbon pools. The 1980 Mount St. Helens (MSH) eruption offers a unique case study, triggering a massive landslide that displaced 2.7 km³ of sediment, buried 600 km² of forest, and disrupted regional carbon dynamics. Pre-eruption terrestrial carbon stocks, including aboveground biomass (AGB), dead biomass (D), and soil organic carbon (S), averaged 209.5 tC/ha. Post-eruption, total carbon density fell to 118.7 tC/ha, driven mainly by a 51% reduction in AGB, modest declines in D, and redistribution of S. Over 36 years, ecosystem recovery increased …

The Chemistry Of Decomposition: The Mechanisms To Decay The Human Body, Lydia J. Buxa

Senior Honors Theses

Taphonomic analysis separates decomposition into four major stages: fresh, early decomposition, advanced decomposition, and skeletonization. It is easy to demarcate the observable changes to the body, but it is far more difficult to know what underlying biochemical processes are occurring. Fresh decomposition begins with algor mortis, livor mortis, and rigor mortis, which sets the stage for the major workforces of decomposition: autolysis and putrefaction. The external signs of decomposition appear in early decomposition, which can be attributed to the breakdown of proteins, lipids, carbohydrates, and nucleic acids. This also leads to major changes in the moisture levels during advanced decomposition, …

Hybrid Bermudagrass Drought Tolerance In A Cool-Season Climate, Ashley J. Beazer

Theses and Dissertations

Kentucky bluegrass (Poa pratensis L.) (KBG) is the most commonly grown cool-season C3 turfgrass. However, as global temperatures rise, KBG struggles to tolerate higher temperatures, leading to increased irrigation demands--a growing concern in arid and semi-arid regions facing escalating drought conditions. In contrast, hybrid bermudagrass (HBG; Cynodon dactylon [L.] Pers. x Cynodon transvaalensis Burtt Davy), a warm-season C4 grass, has demonstrated promising adaptability in traditionally cool-season climates. Since 2008, HBG has been successfully grown with minimal winterkill in Provo, UT, USA, and is now being considered for broader adoption in similar climates. Two separate studies were conducted to evaluate the …

Investigative Needle Core Biopsies Support Multimodal Deep-Data Generation In Glioblastoma, Kenny K H Yu, Sreyashi Basu, Gerard Baquer, Ryuhjin Ahn, Jennifer Gantchev, Michael S Regan, Michael C Prabhu, Marc J Williams, Alicia D D'Souza, Seth W Malinowski, Kelsey Hopland, Yuval Elhanati, Sylwia A Stopka, Alexei Stortchevoi, Charles Couturier, Zhong He, Jingjing Sun, Yulong Chen, Alexsandra B Espejo, Kin Hoe Chow, Smitha Yerrum, Pei-Lun Kao, Brittany Parker Kerrigan, Lisa Norberg, Douglas Nielsen, Vinay K Puduvalli, Jason Huse, Rameen Beroukhim, Betty Y S Kim, Sangeeta Goswami, Adrienne Boire, Sarah Frisken, Michael J Cima, Matthias Holdhoff, Calixto-Hope G Lucas, Chetan Bettegowda, Stuart S Levine, Tejus A Bale, Cameron Brennan, David A Reardon, Frederick F Lang, E Antonio Chiocca, Keith L Ligon, Forest M White, Padmanee Sharma, Viviane Tabar, Nathalie Y R Agar

Faculty, Staff and Student Publications

Glioblastoma (GBM) is an aggressive primary brain cancer with few effective therapies. Stereotactic needle biopsies are routinely used for diagnosis; however, the feasibility and utility of investigative biopsies to monitor treatment response remains ill-defined. Here, we demonstrate the depth of data generation possible from routine stereotactic needle core biopsies and perform highly resolved multi-omics analyses, including single-cell RNA sequencing, spatial transcriptomics, metabolomics, proteomics, phosphoproteomics, T-cell clonotype analysis, and MHC Class I immunopeptidomics on standard biopsy tissue obtained intra-operatively. We also examine biopsies taken from different locations and provide a framework for measuring spatial and genomic heterogeneity. Finally, we investigate the …

Vessel-Covered Mamluk-Period Tombs On The Israeli Coastal Plain, In Light Of The Excavation On Danny Mass Street, Ramla, Yossi Elisha, Amir Gorzalczany, Hagit Torgë

'Atiqot

No abstract provided.

A Mother And Child Reunion? An Unusual Ottoman-Period Bedouin Pit Grave At Rahat, The Northern Negev, Yossi Nagar, Noé David Michael, Oren Shmueli, Elena Kogan-Zehavi

'Atiqot

No abstract provided.

An Infant Jar Burial From Zarnūqa: Muslim Funerary Practices And Migrant Communities In Late Ottoman Palestine, Itamar Taxel, Roy Marom, Yossi Nagar

'Atiqot

No abstract provided.