Biomedical Informatics Commons^™

Diet Therapy Abates Mutant Apc And Kras Effects By Reshaping Plasma Membrane Cholesterol Nanodomains, Eunjoo Kim, Alfredo Erazo-Oliveras, Mónica Muñoz-Vega, Natividad R Fuentes, Michael L Salinas, Miranda J George, Roger S Zoh, Martha E Hensel, Bhimanagouda S Patil, Ivan Ivanov, Nancy D Turner, Robert S Chapkin

Faculty, Staff and Student Publications

Cholesterol-enriched plasma membrane domains are known to serve as signaling platforms in a diverse array of cellular processes. However, the link between cholesterol homeostasis and mutant APC-KRas-associated colorectal tumorigenesis remains to be established. Thus, we investigated the impact of Apc-Kras on 1) colonocyte plasma membrane cholesterol homeostasis, order, and receptor nanoclustering, 2) colonocyte cell proliferation, and 3) whether these effects are modulated by select membrane active dietaries (MADs). We observed that oncogenic APC-KRas increased membrane order by perturbing cholesterol homeostasis when cell proliferation is upregulated, in part by altering the expression of genes associated with cholesterol influx, export and de …

A Randomized, Double-Blind, Placebo-Controlled Trial Of Il-7 In Critically Ill Patients With Covid-19, Manu Shankar-Hari, Bruno Francois, Kenneth E Remy, Cristina Gutierrez, Stephen Pastores, Thomas Daix, Robin Jeannet, Jane Blood, Andrew H Walton, Reinaldo Salomao, Georg Auzinger, David Striker, Robert S Martin, Nitin J Anand, James Bosanquet, Teresa Blood, Scott Brakenridge, Lyle L Moldawer, Vidula Vachharajani, Cassian Yee, Felipe Dal-Pizzol, Michel Morre, Frederique Berbille, Marcel Van Den Brink, Richard Hotchkiss

Faculty, Staff and Student Publications

Background: Lymphopenia and failure of lymphocytes to mount an early IFN-γ response correlate with increased mortality in COVID-19. Given the essential role of CD4 helper and CD8 cytotoxic cells in eliminating viral pathogens, this profound loss in lymphocytes may impair patients' ability to eliminate the virus. IL-7 is a pleiotropic cytokine that is obligatory for lymphocyte survival and optimal function.

Methods: We conducted a prospective, double-blind, randomized, placebo-controlled trial of CYT107, recombinant human IL-7, in 109 critically ill, patients with lymphopenia who have COVID-19. The primary endpoint was to assess CYT107's effect on lymphocyte recovery with secondary clinical endpoints including …

Understanding Pediatric Bipolar Disorder Through The Investigation Of Clinical, Neuroanatomic, Neurophysiological And Neurocognitive Dimensions: A Pilot Study, Alessio Simonetti, Evelina Bernardi, Sherin Kurian, Antonio Restaino, Claudia Calderoni, Emanuela De Chiara, Francesca Bardi, Gabriele Sani, Jair C Soares, Kirti Saxena

Faculty, Staff and Student Publications

Background: Pathophysiological models of pediatric bipolar disorder (PBD) are lacking. Multimodal approaches may provide a comprehensive description of the complex relationship between the brain and behavior. Aim: To assess behavioral, neuropsychological, neurophysiological, and neuroanatomical alterations in youth with PBD.

Methods: Subjects with PBD (n = 23) and healthy controls (HCs, n = 23) underwent (a) clinical assessments encompassing the severity of psychiatric symptoms, (b) neuropsychological evaluation, (c) analyses of event-related potentials (related to the passive viewing of fearful, neutral, and happy faces during electroencephalography recording, and (d) cortical thickness and deep gray matter volume measurement using magnetic …

Cancer Cells Avoid Ferroptosis Induced By Immune Cells Via Fatty Acid Binding Proteins, Maria Angelica Freitas-Cortez, Fatemeh Masrorpour, Hong Jiang, Iqbal Mahmud, Yue Lu, Ailing Huang, Lisa K Duong, Qi Wang, Tiffany A Voss, Claudia S Kettlun Leyton, Bo Wei, Wai-Kin Chan, Kevin Lin, Jie Zhang, Efrosini Tsouko, Shonik Ganjoo, Hampartsoum B Barsoumian, Thomas S Riad, Yun Hu, Carola Leuschner, Nahum Puebla-Osorio, Jing Wang, Jian Hu, Michael A Davies, Vinay K Puduvalli, Cyrielle Billon, Thomas P Burris, Philip L Lorenzi, Boyi Gan, James W Welsh

Faculty, Staff and Student Publications

Background: Cancer creates an immunosuppressive environment that hampers immune responses, allowing tumors to grow and resist therapy. One way the immune system fights back is by inducing ferroptosis, a type of cell death, in tumor cells through CD8 + T cells. This involves lipid peroxidation and enzymes like lysophosphatidylcholine acyltransferase 3 (Lpcat3), which makes cells more prone to ferroptosis. However, the mechanisms by which cancer cells avoid immunotherapy-mediated ferroptosis are unclear. Our study reveals how cancer cells evade ferroptosis and anti-tumor immunity through the upregulation of fatty acid-binding protein 7 (Fabp7).

Methods: To explore how cancer cells resist immune cell-mediated …

Distinct Roles Of Mtorc2 In Excitatory And Inhibitory Neurons In Inflammatory And Neuropathic Pain, Wei He, Xin Ge, Ru-Rong Ji

Faculty, Staff and Student Publications

No abstract provided.

Safety And Tolerability Of Letetresgene Autoleucel (Gsk3377794): Pilot Studies In Patients With Advanced Non-Small Cell Lung Cancer, Mehmet Altan, Gilberto Lopes, T Jeroen N Hiltermann, Ramaswamy Govindan, Liza C Villaruz, Emiliano Calvo, Martin J Edelman, Muhammad Furqan, Joel Neal, Enriqueta Felip, Jennifer W Carlisle, John V Heymach, Róisín Eilish O'Cearbhaill, Marjorie Zauderer, Michael Chisamore, Ellie Corigliano, Ioanna Eleftheriadou, Stefan Zajic, Ben Jenkins, Sophia Goodison, Sunil Suchindran, Natalia Ramos-Hernandez, Nidale Tarek, Adam J Schoenfeld

Faculty, Staff and Student Publications

Purpose: The study aims to evaluate the safety, tolerability, and antitumor response of letetresgene autoleucel (lete-cel), genetically modified autologous T cells expressing a T-cell receptor specific for New York esophageal squamous cell carcinoma 1 (NY-ESO-1)/LAGE-1a shared epitope, alone or in combination with pembrolizumab, in HLA-A*02-positive (HLA-A*02:01, HLA-A*02:05, and/or HLA-A*02:06) patients with NY-ESO-1- and/or LAGE-1a-positive non-small cell lung cancer.

Patients and methods: Study 208749 was a single-arm study of lete-cel alone. Study 208471 was a multiarm study of lete-cel alone or in combination with pembrolizumab in patients with advanced or recurrent non-small cell lung cancer.

Results: More than 2,500 patients were …

Antitumor Activity And Biomarker Analysis For Trop2 Antibody-Drug Conjugate Datopotamab Deruxtecan In Patient-Derived Breast Cancer Xenograft Models, Funda Meric-Bernstam, Erkan Yuca, Kurt W Evans, Ming Zhao, Takanori Maejima, Tsuyoshi Karibe, Maria Gabriela Raso, Ximing Tang, Xiaofeng Zheng, Yasmeen Qamar Rizvi, Argun Akcakanat, Stephen M Scott, Bailiang Wang, Lauren A Byers, Debu Tripathy, Daisuke Okajima, Senthil Damodaran

Faculty, Staff and Student Publications

PURPOSE: Datopotamab deruxtecan (Dato-DXd) is a humanized anti-trophoblast cell-surface antigen-2 (TROP2) IgG1 mAb linked to a potent topoisomerase I inhibitor payload (DXd). Dato-DXd has already shown antitumor activity in breast cancer; however, the determinants of response, including the importance of TROP2 expression, remain unclear. We tested the activity of Dato-DXd in a panel of breast cancer patient-derived xenografts (BCX) varying in TROP2 expression.

EXPERIMENTAL DESIGN: The antitumor activity of Dato-DXd and isotype-control-DXd (IgG-DXd) was assessed against 11 BCXs varying in TROP2 expression, 10 representing tumors postneoadjuvant chemotherapy. Pharmacodynamic effects were assessed at 24 and 72 hours. The effects of TROP2 …

Deescalation Perils In Inflammatory Breast Cancer, Wendy A Woodward

Faculty, Staff and Student Publications

No abstract provided.

Phase I/Ii Study Of The Aurora Kinase A Inhibitor Alisertib And Pembrolizumab In Refractory, Rb-Deficient Head And Neck Squamous Cell Carcinomas, Faye M Johnson, Madison P O'Hara, Lacin Yapindi, Peixin Jiang, Hai T Tran, Alexandre Reuben, Weihong Xiao, Maura L Gillison, Xiaowen Sun, Alexander Khalaf, J Jack Lee, Jagannadha K Sastry, Soma Ghosh

Faculty, Staff and Student Publications

Purpose: Effective therapy for recurrent head and neck squamous cell carcinoma (HNSCC) that is refractory to chemotherapy and immunotherapy is a considerable need. Aurora kinase A inhibition leads to apoptosis and immunogenic cell death in preclinical models of human papilloma virus (HPV)-driven cancers.

Patients and methods: Alisertib was administered orally twice daily on days 1-7 and pembrolizumab on day 1 of a 21-day cycle to adults with advanced solid tumors (phase I) or with immunotherapy- and platinum-resistant, HPV-positive HNSCC (phase II).

Results: The recommended phase II alisertib dose was 40 mg, which had only the expected toxicity including cytopenia that …

Early Tolerance And Late Persistence As Alternative Drug Responses In Cancer, Simona Punzi, Davide Cittaro, Guido Gatti, Gemma Crupi, Oronza A Botrugno, Antonino Alex Cartalemi, Alon Gutfreund, Caterina Oneto, Valentina Giansanti, Chiara Battistini, Giovanni Santacatterina, Lucrezia Patruno, Ilaria Villanti, Martina Palumbo, Daniel J Laverty, Francesca Giannese, Alex Graudenzi, Giulio Caravagna, Marco Antoniotti, Zachary Nagel, Ugo Cavallaro, Luisa Lanfrancone, Timothy A Yap, Giulio Draetta, Nathalie Balaban, Giovanni Tonon

Faculty, Staff and Student Publications

Bacteria withstand antibiotic treatment through three alternative mechanisms: resistance, persistence or tolerance. While resistance and persistence have been described, whether drug-induced tolerance exists in cancer cells remains largely unknown. Here, we show that human cancer cells elicit a tolerant response when exposed to commonly used chemotherapy regimens, propelled by the pervasive activation of autophagy, leading to the comprehensive activation of DNA damage repair pathways. After prolonged drug exposure, such tolerant responses morph into persistence, whereby the increased DNA damage repair is entirely reversed. The central regulator of mitophagy PINK1 drives this reduction in DNA repair via the cytoplasmic relocalization of …

Plant-Nanoparticles Enhance Anti-Pd-L1 Efficacy By Shaping Human Commensal Microbiota Metabolites, Yun Teng, Chao Luo, Xiaolan Qiu, Jingyao Mu, Mukesh K Sriwastva, Qingbo Xu, Minmin Liu, Xin Hu, Fangyi Xu, Lifeng Zhang, Juw Won Park, Jae Yeon Hwang, Maiying Kong, Zhanxu Liu, Xiang Zhang, Raobo Xu, Jun Yan, Michael L Merchant, Craig J Mcclain, Huang-Ge Zhang

Faculty, Staff and Student Publications

Diet has emerged as a key impact factor for gut microbiota function. However, the complexity of dietary components makes it difficult to predict specific outcomes. Here we investigate the impact of plant-derived nanoparticles (PNP) on gut microbiota and metabolites in context of cancer immunotherapy with the humanized gnotobiotic mouse model. Specifically, we show that ginger-derived exosome-like nanoparticle (GELN) preferentially taken up by Lachnospiraceae and Lactobacillaceae mediated by digalactosyldiacylglycerol (DGDG) and glycine, respectively. We further demonstrate that GELN aly-miR159a-3p enhances anti-PD-L1 therapy in melanoma by inhibiting the expression of recipient bacterial phospholipase C (PLC) and increases the accumulation of docosahexaenoic acid …

The Landscape Of Ctdna In Appendiceal Adenocarcinoma, Michael G White, Mohammad A Zeineddine, Eleanor A Fallon, Fadl A Zeineddine, Julia Dansby, Saikat Chowdhury, Nicholas Hornstein, Abdelrahman Yousef, Mahmoud Yousef, Neal Bhutiani, Yue Gu, Bryan Kee, Arvind Dasari, Michael J Overman, Kanwal Raghav, Scott Kopetz, Abhineet Uppal, Melissa Taggart, Timothy Newhook, Keith Fournier, Beth Helmink, Leylah M Drusbosky, John Paul Shen

Faculty, Staff and Student Publications

Purpose: Appendiceal adenocarcinoma is a rare malignancy with distinct histopathologic subtypes and a natural history with metastasis primarily limited to the peritoneum. Little is known about the molecular pathogenesis of appendiceal adenocarcinoma relative to common tumors.

Experimental design: We analyzed molecular data for patients within the Guardant Health database with appendix cancer (n = 718). We then identified patients with appendiceal adenocarcinoma at our institution (from October 2004-September 2022) for whom ctDNA mutation profiling (liquid biopsy) was performed (n = 168) and extracted clinicopathologic and outcomes data. Of these 168 patients, 57 also had tissue-based tumor mutational profiling, allowing for …

Defining The Role Of Adjuvant Radiotherapy For Biliary Tract Cancers: A Site-Specific Propensity-Matched Analysis, Yongwoo David Seo, Belkacem Acidi, Andrew Newton, Antony Haddad, Yi-Ju Chiang, Rainna Coelho, Timothy E Newhook, Ching-Wei D Tzeng, Yun Shin Chun, Ethan B Ludmir, Eugene J Koay, Milind Javle, Jean Nicolas Vauthey, Hop S Tran Cao

Faculty, Staff and Student Publications

Background: Biliary tract cancers (BTCs) have distinct tumor biology but share a poor prognosis, with a 5-year-survival-rate of 5-19%. Surgical resection is the only potential cure, but recurrences are common. The role of adjuvant radiotherapy (XRT) remains unclear.

Methods: Using the National Cancer Database (2006-2018), we analyzed resected non-metastatic BTCs. Patients who survived beyond 90 days post-surgery were included, while those with R2 resections or neoadjuvant therapy were excluded. Propensity matching was performed based on predictors of adjuvant radiation, age, and sex. Survival outcomes were compared between no adjuvant therapy, chemotherapy alone, and XRT ± chemotherapy.

Results: …

Evaluating Generalizability Of Oncology Trial Results To Real-World Patients Using Machine Learning-Based Trial Emulations, Xavier Orcutt, Kan Chen, Ronac Mamtani, Qi Long, Ravi B Parikh

Faculty, Staff and Student Publications

Randomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies. Using a nationwide database of electronic health records from Flatiron Health, this framework emulates RCTs across three prognostic phenotypes identified through machine learning models. We applied this approach to 11 landmark RCTs that investigated anti-cancer regimens considered standard of care for the four most prevalent advanced solid malignancies. …

Phase Ii Study Of Copanlisib In Patients With Pten Loss: Results From Nci-Match Ecog-Acrin Trial (Eay131) Subprotocols Z1g And Z1h, Mohamed A Gouda, Zihan Wei, Jordi Rodon, Michael A Davies, Filip Janku, Robert J Gray, Victoria Wang, Lisa M Mcshane, Larry V Rubinstein, David R Patton, P Mickey Williams, Stanley R Hamilton, Raymond Liu, Daniela A Bota, Paul L Swiecicki, Gary L Buchschacher, James V Tricoli, Barbara A Conley, Carlos L Arteaga, Lyndsay N Harris, Peter J O'Dwyer, Alice P Chen, Keith T Flaherty

Faculty, Staff and Student Publications

Purpose: Copanlisib, a pan-class phosphatidylinositol 3-kinase (PI3K) inhibitor with activity predominantly against the PI3K-delta and PI3K-alpha isoforms, has shown promising results in preclinical cancer models with PTEN loss. Herein, we report the activity and safety data from the Z1G and Z1H subprotocols, which included patients with PTEN loss, of the National Cancer Institute Molecular Analysis for Therapy Choice trial.

Methods: Patients with complete loss of cytoplasmic and nuclear PTEN as determined by immunohistochemistry regardless of PTEN mutation or deletion status were included in subprotocol Z1G, and patients with a deleterious mutation in the PTEN gene and retained expression of PTEN …

Emr-Lip: A Lightweight Framework For Standardizing The Preprocessing Of Longitudinal Irregular Data In Electronic Medical Records, Jiawei Luo, Shixin Huang, Lan Lan, Shu Yang, Tingqian Cao, Jin Yin, Jiajun Qiu, Xiaoyan Yang, Yingqiang Guo, Xiaobo Zhou

Faculty, Staff and Student Publications

Objective: Longitudinal data from Electronic Medical Records (EMRs) are increasingly utilized to construct predictive models for various clinical tasks, offering enhanced insights into patient health. However, significant discrepancies exist in preprocessing the irregular and intricate EMR data across studies due to the absence of universally accepted tools and standardization methods. This study introduces the Electronic Medical Record Longitudinal Irregular Data Preprocessing (EMR-LIP) framework, a lightweight approach for optimizing the preprocessing of longitudinal, irregular EMR data, aiming to enhance research efficiency, consistency, reproducibility, and comparability.

Materials and methods: EMR-LIP modularizes the preprocessing of longitudinal irregular EMR data, offering tools with a …

Performance Comparison Of 10 State-Of-The-Art Machine Learning Algorithms For Outcome Prediction Modeling Of Radiation-Induced Toxicity, Ramon M Salazar, Saurabh S Nair, Alexandra O Leone, Ting Xu, Raymond P Mumme, Jack D Duryea, Brian De, Kelsey L Corrigan, Michael K Rooney, Matthew S Ning, Prajnan Das, Emma B Holliday, Zhongxing Liao, Laurence E Court, Joshua S Niedzielski

Faculty, Staff and Student Publications

Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set.

Methods and materials: We obtained 3 sets of radiation toxicity data (478 patients) from our clinic: gastrointestinal toxicity, radiation pneumonitis, and radiation esophagitis. These data comprised clinicopathological and dosimetric information for patients diagnosed with non-small cell lung cancer and anal squamous cell carcinoma. Each data set was modeled using 11 commonly employed machine …

Forecasting Intraoperative Hypotension During Hepatobiliary Surgery, Juan P Cata, Bhavin Soni, Shreyas Bhavsar, Parvathy Sudhir Pillai, Tatiana A Rypinski, Anshuj Deva, Jeffrey H Siewerdsen, Jose M Soliz

Faculty, Staff and Student Publications

Prediction and avoidance of intraoperative hypotension (IOH) can lead to less postoperative morbidity. Machine learning (ML) is increasingly being applied to predict IOH. We hypothesize that incorporating demographic and physiological features in an ML model will improve the performance of IOH prediction. In addition, we added a "dial" feature to alter prediction performance. An ML prediction model was built based on a multivariate random forest (RF) trained algorithm using 13 physiologic time series and patient demographic data (age, sex, and BMI) for adult patients undergoing hepatobiliary surgery. A novel implementation was developed with an adjustable, multi-model voting (MMV) approach to …

Status Of Abortion Curriculum In Genetic Counseling: Survey Of Graduate Programs And Recent Graduates In The United States, Gina Sanchez, S Shahrukh Hashmi, Erica Bednar, Sarah Horvath, Bhavik Kumar, Katelynn Sagaser, Claire N Singletary, Aarti Ramdaney

Faculty, Staff and Student Publications

Genetic counselors (GCs) are trained to help individuals navigate the medical and psychological implications of genetic test results, familial conditions, and ultrasound anomalies. Therefore, familiarity with reproductive options, including abortion, is vital. However, previous studies have found gaps in GCs' knowledge regarding abortion care and there are currently no recommendations regarding abortion curriculum. This study aimed to assess the state of abortion curriculum in genetic counseling graduate programs in the United States and to examine and compare the satisfaction levels of program representatives and recent graduates. Program representatives and recent graduates were invited to complete an anonymous survey evaluating the …

Association Of Serum Endocannabinoid Levels With Pancreatitis And Pancreatitis-Related Pain, Marc T Goodman, Christina Lombardi, Alexa Torrens, Catherine Bresee, Jami L Saloman, Liang Li, Yunlong Yang, William E Fisher, Evan L Fogel, Christopher E Forsmark, Darwin L Conwell, Phil A Hart, Walter G Park, Mark Topazian, Santhi S Vege, Stephen K Van Den Eeden, Melena D Bellin, Dana K Andersen, Jose Serrano, Dhiraj Yadav, Stephen J Pandol, Daniele Piomelli

Faculty, Staff and Student Publications

No abstract provided.

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

Human Hypofunctional Ncf1 Variants Promote Pulmonary Fibrosis In The Bleomycin-Induced Mouse Model And Patients With Systemic Sclerosis Via Expansion Of Spphuman Hypofunctional Ncf1 Variants Promote Pulmonary Fibrosis In The Bleomycin-Induced Mouse Model And Systemic Sclerosis Patients Via Expansion Of Spp1+ Monocytes-Derived Macrophages, Xinran Yuan, Xiaodong Qin, Kenji Takemoto, Jian Zhao, Matthew Sanderson, Xue Xu, Yu Zhang, Kristi L Helke, Bethany Jacobs Wolf, Joel M Guthridge, Judith A James, Xiaodong Zhou, Shervin Assassi, Carol Feghali-Bostwick, Dandan Wang, Lingyun Sun, Betty P Tsao

Faculty, Staff and Student Publications

Objective: We assessed the role of a systemic lupus erythematosus causal hypofunctional variant, neutrophil cytosolic factor 1 (NCF1)-p.Arg90His (p.R90H) substitution, in systemic sclerosis (SSc).

Methods: Association of NCF1-H90 with SSc was performed in case-control cohorts, bleomycin (BLM)-treated Ncf1-R90 C57BL/6 wildtype and Ncf1-H90 knock-in (KI) littermates. Peripheral blood mononuclear cell (PBMC) subsets were analysed by cytometry by time-of-flight.

Results: The NCF1-H90 allele is associated with risk for diffuse cutaneous SSc (dcSSc) in Chinese and European Americans, and lung fibrosis in Chinese patients with SSc (OR=2.09, p=7.96E-10). Low copy number of NCF1 associated with lung fibrosis in European Americans (OR=4.33, p=2.60E-2). BLM-treated …

Association Of Systemic Inflammation And Long-Term Dysfunction In Covid-19 Patients: A Prospective Cohort, Felipe Dal-Pizzol, Bruno Kluwe-Schiavon, Henrique Ritter Dal-Pizzol, Gabriele Da Silveira Prestes, Diogo Dominguini, Carolina Saibro Girardi, Lucas Santos, José Cláudio Fonseca Moreira, Daniel Pens Gelain, Roger Walz, Tatiana Barichello, Cristiane Ritter

Faculty, Staff and Student Publications

COVID-19 has significant long-term impacts, including a chronic syndrome known as long-COVID, characterized by persistent symptoms post-recovery. The inflammatory response during acute infection is hypothesized to influence long-term outcomes. This study aimed to identify inflammatory biomarkers predictive of functional outcomes one year after hospital discharge. A prospective cohort study was conducted with 213 COVID-19 patients admitted to ICUs in Southern Brazil between June and November 2020. After exclusions and follow-ups, 109 patients were evaluated for one-year post-discharge. Plasma levels of Th1 (TNF-α, INF-γ, IL-12), Th2 (IL-4, IL-5, IL-6, IL-10, IL-13), and Th17 (IL-17, IL-22) cytokines were measured. Functional outcomes in …

A Statistical Framework Of Watermarks For Large Language Models: Pivot, Detection Efficiency And Optimal Rules, Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, Weijie J Su

Faculty, Staff and Student Publications

Since ChatGPT was introduced in November 2022, embedding (nearly) unnoticeable statistical signals into text generated by large language models (LLMs), also known as watermarking, has been used as a principled approach to provable detection of LLM-generated text from its human-written counterpart. In this paper, we introduce a general and flexible framework for reasoning about the statistical efficiency of watermarks and designing powerful detection rules. Inspired by the hypothesis testing formulation of watermark detection, our framework starts by selecting a pivotal statistic of the text and a secret key-provided by the LLM to the verifier-to control the false positive rate (the …

Transcriptome Size Matters For Single-Cell Rna-Seq Normalization And Bulk Deconvolution, Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

Faculty, Staff and Student Publications

The variation of transcriptome size across cell types significantly impacts single-cell RNA sequencing (scRNA-seq) data normalization and bulk RNA-seq cellular deconvolution, yet this intrinsic feature is often overlooked. Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. ReDeconv introduces a scRNA-seq normalization approach, Count based on Linearized Transcriptome Size (CLTS), which corrects differential expressed genes typically misidentified by standard count per 10 K normalization, as confirmed by orthogonal validations. By maintaining transcriptome size variation, CLTS-normalized scRNA-seq enhances the accuracy of bulk deconvolution. Additionally, ReDeconv mitigates gene length effects and models expression variances, …

Immunogenomic Determinants Of Exceptional Response To Immune Checkpoint Inhibition In Renal Cell Carcinoma, Tejas Jammihal, Renee Maria Saliby, Chris Labaki, Hanna Soulati, Juan Gallegos, Arnau Peris, Dustin Mccurry, Chunlei Yu, Valisha Shah, Deepak Poduval, Talal El Zarif, Nourhan El Ahmar, Yasmin Nabil Laimon, Marc Eid, Aseman Bagheri Sheshdeh, Katherine M Krajewski, Florian A Büttner, Matthias Schwab, Daniel Heng, Rafael C Casellas, Kunal Rai, Niki M Zacharias Millward, Pavlos Msaouel, Jose Karam, Sabina Signoretti, Eliezer Van Allen, Toni K Choueiri, David A Braun, Sachet A Shukla

Faculty, Staff and Student Publications

Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF). In the IO/IO cohort, clonal neoantigen load was significantly higher in persons with …

Community Outreach, Engagement, And Mentoring Program For Underrepresented Scholars In Cancer Health Disparities, Lorna H Mcneill, Cassandra L Harris, Terrence R Adams, Berta R Salazar, Crystal L Roberson, Leonetta B Thompson, Kamisha H Escoto, Kayce D Solari Williams, Shine Chang, Tzuan A Chen, Birnur Buzcu-Guven, Lorraine R Reitzel

Faculty, Staff and Student Publications

Objective:

Racial/ethnic minorities and women are affected by cancer and cancer risk factors at higher rates; however, they are largely underrepresented in scientific professions focused on health disparities. One way to reduce disparities is to increase diversity within the workforce by planning training activities for minority scholars, paying close attention to community outreach. This paper describes the outcomes of a robust community outreach plan engaging communities in education, research, and clinical trials to increase the number of underrepresented student scholars in cancer disparities research through research training, mentorship, and service-learning activities provided within local organizations.

Methods:

The program provided two …

Re: Prevalence Of Cancer Survivors In The United States, Shine Chang

Faculty, Staff and Student Publications

No abstract provided.

Molecular Profiling Of Bladder Cancer Xenografts Defines Relevant Molecular Subtypes And Provides A Resource For Biomarker Discovery, Sharada Mokkapati, Ganiraju Manyam, Alexis R Steinmetz, Côme Tholomier, Alberto Martini, Woonyoung Choi, Bogdon Czerniak, Byron H Lee, Colin P Dinney, David J Mcconkey

Faculty, Staff and Student Publications

Bladder cancer (BLCA) genomic profiling has identified molecular subtypes with distinct clinical characteristics and variable sensitivities to frontline therapy. BLCAs can be categorized into luminal or basal subtypes based on their gene expression. We comprehensively characterized nine human BLCA cell lines (UC3, UC6, UC9, UC13, UC14, T24, SCaBER, RT4V6 and RT112) into molecular subtypes using orthotopic xenograft models. Patient-derived, luciferase-tagged BLCA cell lines were cultured in vitro and engrafted into bladders of NSG mice. Tumor growth was monitored using bioluminescence imaging and mRNA-based molecular classification was used to characterize xenografts into molecular subtypes. RNAseq analysis and basal, luminal, and epithelial-mesenchymal …

The Metabolic Basis Of Cancer-Related Fatigue, Robert Dantzer, Brandon Chelette, Elisabeth G Vichaya, A Phillip West, Aaron Grossberg

Faculty, Staff and Student Publications

Although we are all familiar with the sensation of fatigue, there are still profound divergences on what it represents and its mechanisms. Fatigue can take various forms depending on the condition in which it develops. Cancer-related fatigue is considered a symptom of exhaustion that is often present at the time of diagnosis, increases in intensity during cancer therapy, and does not always recede after completion of treatment. It is usually attributed to the inflammation induced by damage-associated molecular patterns released by tumor cells during cancer progression and in response to its treatment. In this review, we argue that it is …