Digital Commons Network^™

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 …

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: …

Cardiovascular Disease In Adults With Osteogenesis Imperfecta: Clinical Characteristics, Care Recommendations, And Research Priorities Identified Using A Modified Delphi Technique, Lars Folkestad, Siddharth K Prakash, Sandesh C S Nagamani, Niels Holmark Andersen, Erin Carter, Jannie Dahl Hald, Riley J Johnson, Bente Langdahl, Eleanor M Perfetto, Cathleen Raggio, Stuart H Ralston, Robert A Sandhaus, Oliver Semler, Laura Tosi, Eric Orwoll

Faculty, Staff and Student Publications

Osteogenesis imperfecta (OI) is a multisystem disorder most often caused by pathogenic variants in genes that encode type I collagen. Type I collagen is abundant not only in bone but also in multiple tissues including skin, tendons, cornea, blood vessels, and heart. Thus, OI can be expected to affect cardiovascular system, and there are numerous reports of cardiovascular disease (CVD) in people with OI. However, there is no consensus on how CVD in OI should be assessed or managed. To fill this gap, a multidisciplinary group was convened to develop clinical guidance. The work included a systematic review of the …

Investigating The In Vivo Effects Of Anti-Prion Protein Nanobodies On Prion Disease With Aav Vector, Jingjing Zhang, Mengfei Wang, Dan Wang, Xiangyi Zhang, Yue Ma, Els Pardon, Jan Steyaert, Romany Abskharon, Fei Wang, Jiyan Ma

Faculty, Staff and Student Publications

Prion diseases are fatal neurodegenerative disorders affecting humans and animals, and the central pathogenic event is the conversion of normal prion protein (PrPC) into the pathogenic PrPSc isoform. Previous studies have identified nanobodies that specifically recognize PrPC and inhibit the PrPC to PrPSc conversion in vitro. In this study, we investigated the potential for in vivo expression of anti-PrPC nanobodies and evaluated their impact on prion disease. The coding sequences of three nanobodies were packaged into recombinant adeno-associated virus (rAAV) and were administered via intracerebroventricular (ICV) injection in newborn mice. We found that the expression of these nanobodies remained robust …

Subendocardial Ischemia: Does Cmd Really Exist?, Nils P Johnson, K Lance Gould

Faculty, Staff and Student Publications

Patients with angina but without obstructive epicardial coronary disease still require a specific mechanistic diagnosis to enable targeted treatment. The overarching term "coronary microvascular dysfunction" (CMD) has been applied broadly - but is it correct? We present a series of case examples culminating a systematic exploration of our large clinical database to distinguish among four categories of coronary pathophysiology. First, by far the largest group of "no stenosis angina" patients exhibits subendocardial ischemia during intact flow through diffuse epicardial disease during dipyridamole vasodilator stress. Second, rare patients indeed have ischemic signs or symptoms due solely to reduced flow attributable to …

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. …

Multi-Institutional Retrospective Study On Opioid Prescribing Patterns Of Oral And Maxillofacial Surgeons, Steven J D Zbarsky, Issa A Hanna, Je Dong Ryu, Audra Boehm, Simon Young, Gary Yu, Minh Phuong Dong, Minh Chau Joe Tran, Alan Herford, Samuel Young, Chi T Viet

Faculty, Staff and Student Publications

BACKGROUND: The opioid epidemic is a serious crisis in the United States. It has been proposed that opioid prescriptions after dental procedures are a major contributor to opioid use and abuse. The American Dental Association has been working to educate dental care providers about safe opioid prescribing practices. The authors hypothesized that oral and maxillofacial surgeons, following the efforts and publications from the American Dental Association, have been prescribing fewer postoperative opioids.

METHODS: This was a multi-institutional retrospective study with a total of 3,710 patients from Loma Linda University and University of Texas Health Science Center at Houston undergoing ambulatory …

Identifying Mechanisms Of Action For Implementation Strategies Using A Retrospective Implementation Mapping Logic Model Approach, Timothy J Walker, Funlola Are, Natalia I Heredia, Kempson Onadeko, Emma E Saving, Eunyoung Kang, Maria E Fernandez

Faculty, Staff and Student Publications

Understanding causal mechanisms for implementation strategies is a priority for implementation and health promotion research. Logic models are helpful for understanding and illustrating mechanisms through which implementation strategies operate. Little guidance exists for developing logic models for existing implementation strategies. We demonstrate how to use Implementation Mapping (IM) in a retrospective manner to develop an IMap Logic Model for a social-emotional learning program implemented at Boys & Girls Clubs of Greater Houston (BGCGH). To inform logic model development, we used qualitative interview data (from implementers) and conversations with program organizers. To develop the logic model, we specified the most accessible …

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 …

A Qualitative Assessment Of Changes In Occupational Exposures Among Healthcare Facility Workers, David Gimeno Ruiz De Porras, Jenil Patel, Sadie Conway, Lisa Pompeii, Laura E Mitchell, Arch Carson, Lawrence W Whitehead, Inkyu Han, Jan-Paul Zock, Paul K Henneberger, Riddhi Patel, Joy De Los Reyes, George L Delclos

Faculty, Staff and Student Publications

Adult-onset asthma, notably prevalent among healthcare professionals, especially nurses, is often attributed to occupational factors such as exposure to cleaning agents. Studies consistently underscore the substantial role of such exposure in work-related asthma among hospital staff. We aimed to (a) identify and characterize current practices in cleaning and aerosolized medication administration; (b) assess changes in practices since a similar 2003 study of Texas healthcare workers; and (c) identify factors contributing to diverse exposures within healthcare job categories. We conducted focus groups with 38 participants in 6 healthcare settings, analyzing current practices, changes since 2003, and factors contributing to exposure diversity. …

Evidence For Alpha-Synuclein Aggregation In Older Individuals With Hyposmia: A Cross-Sectional Study, Kenneth Marek, David S Russell, Luis Concha-Marambio, Seung Ho Choi, Danna Jennings, Michael C Brumm, Christopher S Coffey, Ethan Brown, John Seibyl, Matthew Stern, Claudio Soto, Andrew Siderowf

Faculty, Staff and Student Publications

Background: Synuclein pathology in neurodegenerative diseases, such as Parkinson's disease (PD) and Dementia with Lewy bodies (DLB), begins years before motor or cognitive symptoms arise. Alpha-Synuclein seed amplification assays (α-syn SAA) may detect aggregated synuclein before symptoms occur.

Methods: Data from the Parkinson Associated Risk Syndrome Study (PARS) have shown that individuals with hyposmia, without motor or cognitive symptoms, are enriched for dopamine transporter imaging (DAT) deficit and are at high risk to develop clinical parkinsonism or related synucleinopathies. α-syn aggregates in CSF were measured in 100 PARS participants using α-syn SAA.

Findings: CSF α-syn SAA was positive in 48% …

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 …

Engagement And Factors Associated With Annual Anal Human Papillomavirus Screening Among Sexual And Gender Minority Individuals, Jenna Nitkowski, Timothy J Ridolfi, Sarah J Lundeen, Anna R Giuliano, Elizabeth Chiao, Maria E Fernandez, Vanessa Schick, Jennifer S Smith, Paige Bruggink, Bridgett Brzezinski, Alan G Nyitray

Faculty, Staff and Student Publications

Background: Although self-sampling could help address anal cancer screening barriers, no studies have investigated annual engagement with this method or compared it with annual screening with a provider. Building on our baseline article, we compared annual anal screening engagement between home-based self-sampling and clinic-based clinician sampling.

Methods: The Prevent Anal Cancer Self-Swab Study recruited and randomized sexual and gender minority individuals 25 years and older who have sex with men to a home or clinic arm. Home-based participants were mailed an anal human papillomavirus self-sampling kit at baseline and 12 months, whereas clinic-based participants were asked to schedule and attend …

Patterns Of Substance Use Among Street-Involved Children And Youth In Kenya: The Roles Of Street-Exposure, Migratory Factors, Family Deprivation, And Geographic Sub-Location, Michael L Goodman, Sarah Seidel, Andrew Springer, Christine Markham, Aaron Godoy, Lauren Raimer-Goodman, Kelvin Munene, Stanley Gitari

Faculty, Staff and Student Publications

Substance use among street-involved children and youth (SICY) in low- and middle-income countries is common. Using data abstracted from program intake forms (2016-2022) for an intervention to reintegrate SICY with their communities, we assess which individual, family, and geographic characteristics are predictive of substance use, and specifically inhalant use and non-inhalant use among a sample of 227 SICY in Meru County, Kenya. Assessed determinants include age, geographic location of home community, years on street, family deprivation prior to street-migrating, motivation for street migrating, abuse experiences on the street, and activities on the street. Number of years lived on the street, …

Sexual Behavior Stigma Among Cisgender Gay, Bisexual, And Other Men Who Have Sex With Men In Nine Nhbs Cities Across The United States: Burden And Associations With Prep Continuum And Hiv Care Continuum Outcomes, John Mark Wiginton, Sarah M Murray, Bridget J Anderson, Kwa Sey, Yingbo Ma, Colin P Flynn, Danielle German, Emily Higgins, Timothy W Menza, E Roberto Orellana, Stephanie Sanz, Nabeeh A Hasan, Alia Al-Tayyib, Jennifer Kienzle, Garrett Shields, Zaida Lopez, Paige Wermuth, Stefan D Baral

Faculty, Staff and Student Publications

In the United States (US), sexuality-based stigma continues to undermine HIV prevention and care efforts. We assessed sexual behavior stigma burden across family, healthcare, and social domains and determined associations with HIV-related outcomes among cisgender gay, bisexual, and other men who have sex with men (MSM) in nine US metropolitan statistical areas. MSM (N = 4,086) recruited at places of MSM social congregation via venue-based, time-sampling procedures completed a survey on sexual behavior stigma, PrEP (pre-exposure prophylaxis) continuum and HIV care continuum outcomes, sociodemographic characteristics, and other measures. We calculated prevalence and overall mean stigma subscale scores (range: 0.00–1.00) …

Leucine-Rich Alpha-2-Glycoprotein 1 Promotes Metastatic Colorectal Cancer Growth Through Human Epidermal Growth Factor Receptor 3 Signaling, Moeez Rathore, Kimberly Curry, Wei Huang, Michel'le Wright, Daniel Martin, Jiyeon Baek, Derek Taylor, Masaru Miyagi, Wen Tang, Hao Feng, Yamu Li, Zhenghe Wang, Hallie Graor, Joseph Willis, Elizabeth Bryson, Christina S Boutros, Omkar Desai, Bianca N Islam, Lee M Ellis, Stephen E Moss, Jordan M Winter, John Greenwood, Rui Wang

Faculty, Staff and Student Publications

Background & aims: Therapy failure in patients with metastatic colorectal cancer (mCRC, ∼80% occur in the liver) remains an overarching challenge. Preclinical studies demonstrated that human epidermal growth factor receptor 3 (HER3) promotes colorectal cancer (CRC) cell survival, but therapies blocking the neuregulin-induced canonical HER3 signaling have made little impact in the clinic. Recent studies suggest that the liver microenvironment promotes CRC growth by activating HER3 in a neuregulin-independent fashion, thus elucidation of these mechanisms may reveal new strategies for treating patients with mCRC.

Methods: Patient-derived primary liver endothelial cells (ECs) were used to interrogate EC-CRC crosstalk. We conducted proteomic …

In Vitro Hydrolysis Of Areca Nut Xenobiotics In Human Liver, Vincenzo Paolillo, Mahendran Jayakumar, Colton Sheperd, Andrew Tran, Stephanie Hoang, Nhu Dao, Parag Jain, Alan L Myers

Faculty, Staff and Student Publications

Areca nut (AN) is a substance of abuse consumed by millions worldwide, in spite of established oral and systemic toxicities associated with its use. Previous research demonstrates methyl ester alkaloids in the AN, such as arecoline and guvacoline, exhibit mood-altering and toxicological effects. Nonetheless, their metabolism has not been fully elucidated in humans. In the present study, an HPLC-UV bioanalytical method was developed to evaluate the hydrolytic kinetics and clearance rates of arecoline and guvacoline in human liver microsomes (HLM) and cytosol (HLC). The bioassay was capable of quantifying arecoline and guvacoline (and carboxylate metabolites arecaidine and guvacine, respectively) with …

Vaxbot-Hpv: A Gpt-Based Chatbot For Answering Hpv Vaccine-Related Questions, Yiming Li, Jianfu Li, Manqi Li, Evan Yu, Danniel Rhee, Muhammad Amith, Lu Tang, Lara S Savas, Licong Cui, Cui Tao

Faculty, Staff and Student Publications

OBJECTIVE: Human Papillomavirus (HPV) vaccine is an effective measure to prevent and control the diseases caused by HPV. However, widespread misinformation and vaccine hesitancy remain significant barriers to its uptake. This study focuses on the development of VaxBot-HPV, a chatbot aimed at improving health literacy and promoting vaccination uptake by providing information and answering questions about the HPV vaccine.

METHODS: We constructed the knowledge base (KB) for VaxBot-HPV, which consists of 451 documents from biomedical literature and web sources on the HPV vaccine. We extracted 202 question-answer pairs from the KB and 39 questions generated by GPT-4 for training and …

Plasma Proteomic Characterization Of Motoric Cognitive Risk And Mild Cognitive Impairment, Gabriela T Gomez, Sanish Sathyan, Jingsha Chen, Myriam Fornage, Pascal Schlosser, Zhongsheng Peng, Jenifer Cordon, Priya Palta, Kevin J Sullivan, Adrienne Tin, B Gwen Windham, Rebecca F Gottesman, Nir Barzilai, Sofiya Milman, Joe Verghese, Josef Coresh, Keenan A Walker

Faculty, Staff and Student Publications

INTRODUCTION: Motoric cognitive risk (MCR) is a pre-dementia syndrome characterized by mobility and cognitive dysfunction. This study conducted a proteome-wide study of MCR and compared the proteomic signatures of MCR to that of mild cognitive impairment (MCI).

METHODS: Participants were classified as MCR using a memory questionnaire and 4-meter walk. We measured 4877 plasma proteins collected during late-life and midlife. Multivariable logistic regression related each protein to late-life MCR/MCI. MCR-associated proteins were replicated internally at midlife and in an external cohort.

RESULTS: Proteome-wide analysis (n = 4076) identified 25 MCR-associated proteins. Eight of these proteins remained associated with late-life MCR …

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 …

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 …