Medicine and Health Sciences Commons^™

The Genomic Landscape Of Familial Glioma, Dong-Joo Choi, Georgina Armstrong, Brittney Lozzi, Prashanth Vijayaraghavan, Sharon E Plon, Terence C Wong, Eric Boerwinkle, Donna M Muzny, Hsiao-Chi Chen, Richard A Gibbs, Quinn T Ostrom, Beatrice Melin, Benjamin Deneen, Melissa L Bondy, Gliogene Consortium, Genomics England Research Consortium, Matthew N Bainbridge, Christopher I Amos, Jill S Barnholtz-Sloan, Jonine L Bernstein, Elizabeth B Claus, Richard S Houlston, Dora Il'yasova, Robert B Jenkins, Christoffer Johansen, Daniel Lachance, Rose Lai, Beatrice S Melin, Ryan T Merrell, Sara H Olson, Siegal Sadetzki, Joellen Schildkraut, Sanjay Shete, J C Ambrose, P Arumugam, R Bevers, M Bleda, F Boardman-Pretty, C R Boustred, H Brittain, M A Brown, M J Caulfield, G C Chan, A Giess, J N Griffin, A Hamblin, S Henderson, T J P Hubbard, R Jackson, L J Jones, D Kasperaviciute, M Kayikci, A Kousathanas, L Lahnstein, A Lakey, S E A Leigh, I U S Leong, F J Lopez, F Maleady-Crowe, M Mcentagart, F Minneci, J Mitchell, L Moutsianas, M Mueller, N Murugaesu, A C Need, P O'Donovan, C A Odhams, C Patch, D Perez-Gil, M B Pereira, J Pullinger, T Rahim, A Rendon, T Rogers, K Savage, K Sawant, R H Scott, A Siddiq, A Sieghart, S C Smith, A Sosinsky, A Stuckey, M Tanguy, A L Taylor Tavares, E R A Thomas, S R Thompson, A Tucci, M J Welland, E Williams, K Witkowska, S M Wood, M Zarowiecki

Faculty, Staff and Student Publications

Glioma is a rare brain tumor with a poor prognosis. Familial glioma is a subset of glioma with a strong genetic predisposition that accounts for approximately 5% of glioma cases. We performed whole-genome sequencing on an exploratory cohort of 203 individuals from 189 families with a history of familial glioma and an additional validation cohort of 122 individuals from 115 families. We found significant enrichment of rare deleterious variants of seven genes in both cohorts, and the most significantly enriched gene was HERC2 (P = 0.0006). Furthermore, we identified rare noncoding variants in both cohorts that were predicted to …

Resolution Of Cisplatin-Induced Fatigue Does Not Require Endogenous Interleukin-10 In Male Mice, Kiersten Scott, Nabila Boukelmoune, Cullen Taniguchi, A Phillip West, Cobi J Heijnen, Robert Dantzer

Faculty, Staff and Student Publications

Based on previous results showing a pivotal role of endogenous interleukin-10 (IL-10) in the recovery from cisplatin-induced peripheral neuropathy, the present experiments were carried out to determine whether this cytokine plays any role in the recovery from cisplatin-induced fatigue in male mice. Fatigue was measured by decreased voluntary wheel running in mice trained to run in a wheel in response to cisplatin. Mice were treated with a monoclonal neutralizing antibody (IL-10na) administered intranasally during the recovery period to neutralize endogenous IL-10. In the first experiment, mice were treated with cisplatin (2.83 mg/kg/day) for five days and IL-10na (12 μg/day for …

Consensus Proposal For Revised International Working Group 2023 Response Criteria For Higher-Risk Myelodysplastic Syndromes, Amer M Zeidan, Uwe Platzbecker, Jan Philipp Bewersdorf, Maximilian Stahl, Lionel Adès, Uma Borate, David Bowen, Rena Buckstein, Andrew Brunner, Hetty E Carraway, Naval Daver, Maria Díez-Campelo, Theo De Witte, Amy E Dezern, Fabio Efficace, Guillermo Garcia-Manero, Jacqueline S Garcia, Ulrich Germing, Aristoteles Giagounidis, Elizabeth A Griffiths, Robert P Hasserjian, Eva Hellström-Lindberg, Marcelo Iastrebner, Rami Komrokji, Austin G Kulasekararaj, Luca Malcovati, Yasushi Miyazaki, Olatoyosi Odenike, Valeria Santini, Guillermo Sanz, Phillip Scheinberg, Reinhard Stauder, Arjan A Van De Loosdrecht, Andrew H Wei, Mikkael A Sekeres, Pierre Fenaux

Faculty, Staff and Student Publications

Myelodysplastic syndromes/myelodysplastic neoplasms (MDS) are associated with variable clinical presentations and outcomes. The initial response criteria developed by the International Working Group (IWG) in 2000 have been used in clinical practice, clinical trials, regulatory reviews, and drug labels. Although the IWG criteria were revised in 2006 and 2018 (the latter focusing on lower-risk disease), limitations persist in their application to higher-risk MDS (HR-MDS) and their ability to fully capture the clinical benefits of novel investigational drugs or serve as valid surrogates for longer-term clinical end points (eg, overall survival). Further, issues related to the ambiguity and practicality of some criteria …

Positive Selection Of Somatically Mutated Clones Identifies Adaptive Pathways In Metabolic Liver Disease, Zixi Wang, Shijia Zhu, Yuemeng Jia, Yunguan Wang, Naoto Kubota, Naoto Fujiwara, Ruth Gordillo, Cheryl Lewis, Min Zhu, Tripti Sharma, Lin Li, Qiyu Zeng, Yu-Hsuan Lin, Meng-Hsiung Hsieh, Purva Gopal, Tao Wang, Matt Hoare, Peter Campbell, Yujin Hoshida, Hao Zhu

Faculty, Staff and Student Publications

Somatic mutations in nonmalignant tissues accumulate with age and injury, but whether these mutations are adaptive on the cellular or organismal levels is unclear. To interrogate genes in human metabolic disease, we performed lineage tracing in mice harboring somatic mosaicism subjected to nonalcoholic steatohepatitis (NASH). Proof-of-concept studies with mosaic loss of Mboat7, a membrane lipid acyltransferase, showed that increased steatosis accelerated clonal disappearance. Next, we induced pooled mosaicism in 63 known NASH genes, allowing us to trace mutant clones side by side. This in vivo tracing platform, which we coined MOSAICS, selected for mutations that ameliorate lipotoxicity, including mutant genes …

Mapping The Functional Interactions At The Tumor-Immune Checkpoint Interface, Behnaz Bozorgui, Elisabeth K Kong, Augustin Luna, Anil Korkut

Faculty, Staff and Student Publications

The interactions between tumor intrinsic processes and immune checkpoints can mediate immune evasion by cancer cells and responses to immunotherapy. It is, however, challenging to identify functional interactions due to the prohibitively complex molecular landscape of the tumor-immune interfaces. We address this challenge with a statistical analysis framework, immuno-oncology gene interaction maps (ImogiMap). ImogiMap quantifies and statistically validates tumor-immune checkpoint interactions based on their co-associations with immune-associated phenotypes. The outcome is a catalog of tumor-immune checkpoint interaction maps for diverse immune-associated phenotypes. Applications of ImogiMap recapitulate the interaction of SERPINB9 and immune checkpoints with interferon gamma (IFNγ) expression. Our analyses …

Resolution Of Cisplatin-Induced Fatigue Does Not Require Endogenous Interleukin-10 In Male Miceb, Kiersten Scott, Nabila Boukelmoune, Cullen Taniguchi, A Phillip West, Cobi J Heijnen, Robert Dantzer

Faculty, Staff and Student Publications

Based on previous results showing a pivotal role of endogenous interleukin-10 (IL-10) in the recovery from cisplatin-induced peripheral neuropathy, the present experiments were carried out to determine whether this cytokine plays any role in the recovery from cisplatin-induced fatigue in male mice. Fatigue was measured by decreased voluntary wheel running in mice trained to run in a wheel in response to cisplatin. Mice were treated with a monoclonal neutralizing antibody (IL-10na) administered intranasally during the recovery period to neutralize endogenous IL-10. In the first experiment, mice were treated with cisplatin (2.83 mg/kg/day) for five days and IL-10na (12 μg/day for …

Increased Risk Of Dementia In Patients With Atopic Dermatitis: A Nationwide Population-Based Cohort Study, Yu Ri Woo, Minah Cho, Kyung Do Han, Sang Hyun Cho, Ji Hyun Lee

Faculty, Staff and Student Publications

Atopic dermatitis (AD) is a chronic inflammatory skin disorder with bimodal incidence peaks in early childhood and middle-aged and older adults. Few studies have focused on the risk of dementia in AD. The aims of this study were to analyse the incidence, and risk factors for dementia in patients with AD. This nationwide population-based retrospective cohort study enrolled 38,391 adults ≥ 40 years of age with AD and 2,643,602 controls without AD from the Korean National Health Insurance System (NHIS) database from 2009 to 2016. The cumulative incidence probability of all-cause dementia, Alzheimer's disease, or vascular dementia at 8 years …

Hica Toxin-Based Counterselection Marker For Allelic Exchange Mutations In Fusobacterium Nucleatum, Bibek Gc, Peng Zhou, Chenggang Wu

Faculty, Staff and Student Publications

The study of fusobacterial virulence factors has dramatically benefited from the creation of various genetic tools for DNA manipulation, including galK-based counterselection for in-frame deletion mutagenesis in Fusobacterium nucleatum, which was recently developed. However, this method requires a host lacking the galK gene, which is an inherent limitation. To circumvent this limitation, we explored the possibility of using the hicA gene that encodes a toxin consisting of a HicAB toxin-antitoxin module in Fusobacterium periodonticum as a new counterselective marker. Interestingly, the full-length hicA gene is not toxic in F. nucleatum, but a truncated hicA gene version lacking the first …

Effectors And Effects Of Arginine Methylation, Yalong Wang, Mark T Bedford

Faculty, Staff and Student Publications

Arginine methylation is a ubiquitous and relatively stable post-translational modification (PTM) that occurs in three types: monomethylarginine (MMA), asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA). Methylarginine marks are catalyzed by members of the protein arginine methyltransferases (PRMTs) family of enzymes. Substrates for arginine methylation are found in most cellular compartments, with RNA-binding proteins forming the majority of PRMT targets. Arginine methylation often occurs in intrinsically disordered regions of proteins, which impacts biological processes like protein-protein interactions and phase separation, to modulate gene transcription, mRNA splicing and signal transduction. With regards to protein-protein interactions, the major 'readers' of methylarginine marks are …

Overcoming Adaptive Resistance To Anti-Vegf Therapy By Targeting Cd5l, Christopher J Lafargue, Paola Amero, Kyunghee Noh, Lingegowda S Mangala, Yunfei Wen, Emine Bayraktar, Sujanitha Umamaheswaran, Elaine Stur, Santosh K Dasari, Cristina Ivan, Sunila Pradeep, Wonbeak Yoo, Chunhua Lu, Nicholas B Jennings, Vinod Vathipadiekal, Wei Hu, Anca Chelariu-Raicu, Zhiqiang Ku, Hui Deng, Wei Xiong, Hyun-Jin Choi, Min Hu, Takae Kiyama, Chai-An Mao, Rouba Ali-Fehmi, Michael J Birrer, Jinsong Liu, Ningyan Zhang, Gabriel Lopez-Berestein, Vittorio De Franciscis, Zhiqiang An, Anil K Sood

Faculty, Staff and Student Publications

Antiangiogenic treatment targeting the vascular endothelial growth factor (VEGF) pathway is a powerful tool to combat tumor growth and progression; however, drug resistance frequently emerges. We identify CD5L (CD5 antigen-like precursor) as an important gene upregulated in response to antiangiogenic therapy leading to the emergence of adaptive resistance. By using both an RNA-aptamer and a monoclonal antibody targeting CD5L, we are able to abate the pro-angiogenic effects of CD5L overexpression in both in vitro and in vivo settings. In addition, we find that increased expression of vascular CD5L in cancer patients is associated with bevacizumab resistance and worse overall survival. …

Bridging Clinic And Wildlife Care With Ai-Powered Pan-Species Computational Pathology, Khalid Abduljabbar, Simon P Castillo, Katherine Hughes, Hannah Davidson, Amy M Boddy, Lisa M Abegglen, Lucia Minoli, Selina Iussich, Elizabeth P Murchison, Trevor A Graham, Simon Spiro, Carlo C Maley, Luca Aresu, Chiara Palmieri, Yinyin Yuan

Faculty, Staff and Student Publications

Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We build a pan-species cancer digital pathology atlas (panspecies.ai) and conduct a pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). In 18 other vertebrate species (mammalia = 11, reptilia = 4, aves …

Modelling Radiation Cancer Treatment With A Death-Rate Term In Ordinary And Fractional Differential Equations, Nicole Wilson, Corina S Drapaca, Heiko Enderling, Jimmy J Caudell, Kathleen P Wilkie

Faculty, Staff and Student Publications

Fractional calculus has recently been applied to the mathematical modelling of tumour growth, but its use introduces complexities that may not be warranted. Mathematical modelling with differential equations is a standard approach to study and predict treatment outcomes for population-level and patient-specific responses. Here, we use patient data of radiation-treated tumours to discuss the benefits and limitations of introducing fractional derivatives into three standard models of tumour growth. The fractional derivative introduces a history-dependence into the growth function, which requires a continuous death-rate term for radiation treatment. This newly proposed radiation-induced death-rate term improves computational efficiency in both ordinary and …

Cdk5-Prmt1-Wdr24 Signaling Cascade Promotes Mtorc1 Signaling And Tumor Growth, Shasha Yin, Liu Liu, Lauren E Ball, Yalong Wang, Mark T Bedford, Stephen A Duncan, Haizhen Wang, Wenjian Gan

Faculty, Staff and Student Publications

The mammalian target of rapamycin complex1 (mTORC1) is a central regulator of metabolism and cell growth by sensing diverse environmental signals, including amino acids. The GATOR2 complex is a key component linking amino acid signals to mTORC1. Here, we identify protein arginine methyltransferase 1 (PRMT1) as a critical regulator of GATOR2. In response to amino acids, cyclin-dependent kinase 5 (CDK5) phosphorylates PRMT1 at S307 to promote PRMT1 translocation from nucleus to cytoplasm and lysosome, which in turn methylates WDR24, an essential component of GATOR2, to activate the mTORC1 pathway. Disruption of the CDK5-PRMT1-WDR24 axis suppresses hepatocellular carcinoma (HCC) cell proliferation …

Immune Cellular Patterns Of Distribution Affect Outcomes Of Patients With Non-Small Cell Lung Cancer, Edwin Roger Parra, Jiexin Zhang, Mei Jiang, Auriole Tamegnon, Renganayaki Krishna Pandurengan, Carmen Behrens, Luisa Solis, Cara Haymaker, John Victor Heymach, Cesar Moran, Jack J Lee, Don Gibbons, Ignacio Ivan Wistuba

Faculty, Staff and Student Publications

Studying the cellular geographic distribution in non-small cell lung cancer is essential to understand the roles of cell populations in this type of tumor. In this study, we characterize the spatial cellular distribution of immune cell populations using 23 makers placed in five multiplex immunofluorescence panels and their associations with clinicopathologic variables and outcomes. Our results demonstrate two cellular distribution patterns-an unmixed pattern mostly related to immunoprotective cells and a mixed pattern mostly related to immunosuppressive cells. Distance analysis shows that T-cells expressing immune checkpoints are closer to malignant cells than other cells. Combining the cellular distribution patterns with cellular …

Saturated Fatty Acids Dampen The Immunogenicity Of Cancer By Suppressing Sting, Blake R Heath, Wang Gong, Hülya F Taner, Luke Broses, Kohei Okuyama, Wanqing Cheng, Max Jin, Zackary R Fitzsimonds, Andriana Manousidaki, Yuesong Wu, Shaoping Zhang, Haitao Wen, Steven B Chinn, Eric Bartee, Yuying Xie, James J Moon, Yu Leo Lei

Faculty, Staff and Student Publications

Oncogenes destabilize STING in epithelial cell-derived cancer cells, such as head and neck squamous cell carcinomas (HNSCCs), to promote immune escape. Despite the abundance of tumor-infiltrating myeloid cells, HNSCC presents notable resistance to STING stimulation. Here, we show how saturated fatty acids in the microenvironment dampen tumor response to STING stimulation. Using single-cell analysis, we found that obesity creates an IFN-I-deprived tumor microenvironment with a massive expansion of suppressive myeloid cell clusters and contraction of effector T cells. Saturated fatty acids, but not unsaturated fatty acids, potently inhibit the STING-IFN-I pathway in HNSCC cells. Myeloid cells from obese mice show …

Bone Marrow Endosteal Stem Cells Dictate Active Osteogenesis And Aggressive Tumorigenesis, Yuki Matsushita, Jialin Liu, Angel Ka Yan Chu, Chiaki Tsutsumi-Arai, Mizuki Nagata, Yuki Arai, Wanida Ono, Kouhei Yamamoto, Thomas L Saunders, Joshua D Welch, Noriaki Ono

Faculty, Staff and Student Publications

The bone marrow contains various populations of skeletal stem cells (SSCs) in the stromal compartment, which are important regulators of bone formation. It is well-described that leptin receptor (LepR)+ perivascular stromal cells provide a major source of bone-forming osteoblasts in adult and aged bone marrow. However, the identity of SSCs in young bone marrow and how they coordinate active bone formation remains unclear. Here we show that bone marrow endosteal SSCs are defined by fibroblast growth factor receptor 3 (Fgfr3) and osteoblast-chondrocyte transitional (OCT) identities with some characteristics of bone osteoblasts and chondrocytes. These Fgfr3-creER-marked endosteal stromal cells contribute to …

Armo: Automated And Reliable Multi-Objective Model For Lymph Node Metastasis Prediction In Head And Neck Cancer, Zhiguo Zhou, Liyuan Chen, Michael Dohopolski, David Sher, Jing Wang

Faculty, Staff and Student Publications

Objective:

Accurate diagnosis of lymph node metastasis (LNM) is critical in treatment management for patients with head & neck cancer. Positron emission tomography (PET) and computed tomography (CT) are routinely used for identifying LNM status. However, for small or less fluorodeoxyglucose (FDG) avid nodes, there are always uncertainties in LNM diagnosis. We are aiming to develop a reliable prediction model is for identifying LNM.

Approach:

In this study, a new automated and reliable multi-objective learning model (ARMO) is proposed. In ARMO, a multi-objective model is introduced to obtain balanced sensitivity and specificity. Meanwhile, confidence is calibrated by introducing individual reliability, …

Review Of The Tumor Microenvironment In Basal And Squamous Cell Carcinoma, Elizabeth Chiang, Haleigh Stafford, Jane Buell, Uma Ramesh, Moran Amit, Priyadharsini Nagarajan, Michael Migden, Dan Yaniv

Faculty, Staff and Student Publications

It is widely known that tumor cells of basal and squamous cell carcinoma interact with the cellular and acellular components of the tumor microenvironment to promote tumor growth and progression. While this environment differs for basal and squamous cell carcinoma, the cellular players within both create an immunosuppressed environment by downregulating effector CD4+ and CD8+ T cells and promoting the release of pro-oncogenic Th2 cytokines. Understanding the crosstalk that occurs within the tumor microenvironment has led to the development of immunotherapeutic agents, including vismodegib and cemiplimab to treat BCC and SCC, respectively. However, further investigation of the TME will provide …

Machine Learning Models For The Identification Of Prognostic And Predictive Cancer Biomarkers: A Systematic Review, Qasem Al-Tashi, Maliazurina B Saad, Amgad Muneer, Rizwan Qureshi, Seyedali Mirjalili, Ajay Sheshadri, Xiuning Le, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

The identification of biomarkers plays a crucial role in personalized medicine, both in the clinical and research settings. However, the contrast between predictive and prognostic biomarkers can be challenging due to the overlap between the two. A prognostic biomarker predicts the future outcome of cancer, regardless of treatment, and a predictive biomarker predicts the effectiveness of a therapeutic intervention. Misclassifying a prognostic biomarker as predictive (or vice versa) can have serious financial and personal consequences for patients. To address this issue, various statistical and machine learning approaches have been developed. The aim of this study is to present an in-depth …

Combined Inhibition Of Bcl-2 And Mcl-1 Overcomes Bax Deficiency-Mediated Resistance Of Tp53-Mutant Acute Myeloid Leukemia To Individual Bh3 Mimetics, Bing Z Carter, Po Yee Mak, Wenjing Tao, Edward Ayoub, Lauren B Ostermann, Xuelin Huang, Sanam Loghavi, Steffen Boettcher, Yuki Nishida, Vivian Ruvolo, Paul E Hughes, Phuong K Morrow, Torsten Haferlach, Steven Kornblau, Muharrem Muftuoglu, Michael Andreeff

Faculty, Staff and Student Publications

TP53-mutant acute myeloid leukemia (AML) respond poorly to currently available treatments, including venetoclax-based drug combinations and pose a major therapeutic challenge. Analyses of RNA sequencing and reverse phase protein array datasets revealed significantly lower BAX RNA and protein levels in TP53-mutant compared to TP53-wild-type (WT) AML, a finding confirmed in isogenic CRISPR-generated TP53-knockout and -mutant AML. The response to either BCL-2 (venetoclax) or MCL-1 (AMG176) inhibition was BAX-dependent and much reduced in TP53-mutant compared to TP53-WT cells, while the combination of two BH3 mimetics effectively activated BAX, circumventing survival mechanisms in cells treated with either BH3 mimetic, and synergistically induced …

Increased Breast And Colorectal Cancer Risk In Type 2 Diabetes: Awareness Among Adults With And Without Diabetes And Information Provision On Diabetes Websites, Laura Ashley, Kathryn A Robb, Daryl B O'Connor, Rebecca Platt, Mollie Price, Olivia Robinson, Elizabeth Travis, Lorraine Lipscombe, Ramzi Ajjan, Rebecca Birch

Faculty, Staff and Student Publications

BACKGROUND: People with type 2 diabetes mellitus (T2DM) have a higher risk of developing breast and bowel cancers but are less likely to participate in cancer screening.

PURPOSE: Two interlinked studies examined public awareness of the fact that T2DM increases breast and bowel cancer risk, and provision of this information on diabetes websites.

METHODS: Study-1: phase-1 surveyed awareness of T2DM-increased cancer risk in a nationally-representative British sample aged 50-74 (N = 1,458) and compared respondents with and without T2DM (n = 125 vs. n = 1,305); phase-2 surveyed an additional exclusively T2DM sample (N = 319). Study-2: High-ranking diabetes websites …

Comparative Study Of Adenosine Analogs As Inhibitors Of Protein Arginine Methyltransferases And A Clostridioides Difficile- Specific Dna Adenine Methyltransferase, Jujun Zhou, Youchao Deng, Iredia D Iyamu, John R Horton, Dan Yu, Taraneh Hajian, Masoud Vedadi, Dante Rotili, Antonello Mai, Robert M Blumenthal, Xing Zhang, Rong Huang, Xiaodong Cheng

Faculty, Staff and Student Publications

S-Adenosyl-l-methionine (SAM) analogs are adaptable tools for studying and therapeutically inhibiting SAM-dependent methyltransferases (MTases). Some MTases play significant roles in host–pathogen interactions, one of which is Clostridioides difficile-specific DNA adenine MTase (CamA). CamA is needed for efficient sporulation and alters persistence in the colon. To discover potent and selective CamA inhibitors, we explored modifications of the solvent-exposed edge of the SAM adenosine moiety. Starting from the two parental compounds (6e and 7), we designed an adenosine analog (11a) carrying a 3-phenylpropyl moiety at the adenine N6-amino group, and a 3-(cyclohexylmethyl guanidine)-ethyl moiety at the …

Identifying Signatures Of Ev Secretion In Metastatic Breast Cancer Through Functional Single-Cell Profiling, Mohsen Fathi, Melisa Martinez-Paniagua, Ali Rezvan, Melisa J Montalvo, Vakul Mohanty, Ken Chen, Sendurai A Mani, Navin Varadarajan

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) regulate the tumor microenvironment by facilitating transport of biomolecules. Despite extensive investigation, heterogeneity in EV secretion among cancer cells and the mechanisms that support EV secretion are not well characterized. We developed an integrated method to identify individual cells with differences in EV secretion and performed linked single-cell RNA-sequencing on cloned single cells from the metastatic breast cancer cells. Differential gene expression analyses identified a four-gene signature of breast cancer EV secretion: HSP90AA1, HSPH1, EIF5, and DIAPH3. We functionally validated this gene signature by testing it across cell lines with different metastatic potential …

Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations In Cell Populations Of Primary Pancreatic Tumor And Liver Metastasis, Daowei Yang, Rohan Moniruzzaman, Hua Wang, Huamin Wang, Yang Chen

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) has a unique tumor microenvironment composed of various cell populations such as cancer cells, cancer-associated fibroblasts (CAFs), immune cells, and endothelial cells. Recently, single-cell RNA-sequencing analysis (scRNA-seq) has systemically revealed the genomic profiles of these cell populations in PDAC. However, the direct comparison of cell population composition and genomic profile between primary tumors (at both early- and late-stage) and metastatic tumors of PDAC is still lacking. In this study, we combined and analyzed recent scRNA-seq datasets of transgenic KPC mouse models with autochthonous PDAC and matched liver metastasis, revealing the unique tumor ecosystem and cell composition …

Machine Learning-Based Routine Laboratory Tests Predict One-Year Cognitive And Functional Decline In A Population Aged 75+ Years, Karina Braga Gomes, Ramon Gonçalves Pereira, Alexandre Alberto Braga, Henrique Cerqueira Guimarães, Elisa De Paula França Resende, Antônio Lúcio Teixeira, Maira Tonidandel Barbosa, Wagner Meira Junior, Maria Das Graças Carvalho, Paulo Caramelli

Faculty, Staff and Student Publications

BACKGROUND: Cognitive and functional decline are common problems in older adults, especially in those 75+ years old. Currently, there is no specific plasma biomarker able to predict this decline in healthy old-age people. Machine learning (ML) is a subarea of artificial intelligence (AI), which can be used to predict outcomes Aim: This study aimed to evaluate routine laboratory variables able to predict cognitive and functional impairment, using ML algorithms, in a cohort aged 75+ years, in a one-year follow-up study.

METHOD: One hundred and thirty-two older adults aged 75+ years were selected through a community-health public program or from long-term-care …

Neoadjuvant Pembrolizumab In Localized Microsatellite Instability High/Deficient Mismatch Repair Solid Tumors, Kaysia Ludford, Won Jin Ho, Jane V Thomas, Kanwal P S Raghav, Mariela Blum Murphy, Nicole D Fleming, Michael S Lee, Brandon G Smaglo, Y Nancy You, Matthew M Tillman, Carlos Kamiya-Matsuoka, Selvi Thirumurthi, Craig Messick, Benny Johnson, Eduardo Vilar, Arvind Dasari, Sarah Shin, Alexei Hernandez, Xuan Yuan, Hongqui Yang, Wai Chin Foo, Wei Qiao, Dipen Maru, Scott Kopetz, Michael J Overman

Faculty, Staff and Student Publications

PURPOSE: Pembrolizumab significantly improves clinical outcomes in advanced/metastatic microsatellite instability high (MSI-H)/deficient mismatch repair (dMMR) solid tumors but is not well studied in the neoadjuvant space.

METHODS: This is a phase II open-label, single-center trial of localized unresectable or high-risk resectable MSI-H/dMMR tumors. Treatment is pembrolizumab 200 mg once every 3 weeks for 6 months followed by surgical resection with an option to continue therapy for 1 year followed by observation. To continue on study, patients are required to have radiographic or clinical benefit. The coprimary end points are safety and pathologic complete response. Key secondary end points are response …

Learning In A Virtual Environment To Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial, Constance M Johnson, Gail D'Eramo Melkus, Louise Reagan, Wei Pan, Sathya Amarasekara, Katherine Pereira, Nancy Hassell, Sarah Nowlin, Allison Vorderstrasse

Faculty, Staff and Student Publications

Background: Given the importance of self-management in type 2 diabetes mellitus (T2DM), a major aspect of health is providing diabetes self-management education and support. Known barriers include access, availability, and the lack of follow through on referral to education programs. Virtual education and support have increased in use over the last few years.

Objective: The purpose of the Diabetes Learning in a Virtual Environment (LIVE) study was to compare the effects of the LIVE intervention (educational 3D world) to a diabetes self-management education and support control website on diet and physical activity behaviors and behavioral and metabolic outcomes in adults …

Nivolumab Plus Ipilimumab Versus Extreme Regimen As First-Line Treatment For Recurrent/Metastatic Squamous Cell Carcinoma Of The Head And Neck: The Final Results Of Checkmate 651, Robert I Haddad, Kevin Harrington, Makoto Tahara, Robert L Ferris, Maura Gillison, Jerome Fayette, Amaury Daste, Piotr Koralewski, Bogdan Zurawski, Miren Taberna, Nabil F Saba, Milena Mak, Andrzej Kawecki, Gustavo Girotto, Miguel Angel Alvarez Avitia, Caroline Even, Joaquin Gabriel Reinoso Toledo, Alexander Guminski, Urs Müller-Richter, Naomi Kiyota, Mustimbo Roberts, Tariq Aziz Khan, Karen Miller-Moslin, Li Wei, Athanassios Argiris

Faculty, Staff and Student Publications

PURPOSE: CheckMate 651 (ClinicalTrials.gov identifier: NCT02741570) evaluated first-line nivolumab plus ipilimumab versus EXTREME (cetuximab plus cisplatin/carboplatin plus fluorouracil ≤ six cycles, then cetuximab maintenance) in recurrent/metastatic squamous cell carcinoma of the head and neck (R/M SCCHN).

METHODS: Patients without prior systemic therapy for R/M SCCHN were randomly assigned 1:1 to nivolumab plus ipilimumab or EXTREME. Primary end points were overall survival (OS) in the all randomly assigned and programmed death-ligand 1 combined positive score (CPS) ≥ 20 populations. Secondary end points included OS in the programmed death-ligand 1 CPS ≥ 1 population, and progression-free survival, objective response rate, and duration …

Development And Validation Of A Prediction Model For Kidney Failure In Long-Term Survivors Of Childhood Cancer, Natalie L Wu, Yan Chen, Bryan V Dieffenbach, Matthew J Ehrhardt, Sangeeta Hingorani, Rebecca M Howell, John L Jefferies, Daniel A Mulrooney, Kevin C Oeffinger, Leslie L Robison, Brent R Weil, Yan Yuan, Yutaka Yasui, Melissa M Hudson, Wendy M Leisenring, Gregory T Armstrong, Eric J Chow

Faculty, Staff and Student Publications

Purpose: Kidney failure is a rare but serious late effect following treatment for childhood cancer. We developed a model using demographic and treatment characteristics to predict individual risk of kidney failure among 5-year survivors of childhood cancer.

Methods: Five-year survivors from the Childhood Cancer Survivor Study (CCSS) without history of kidney failure (n = 25,483) were assessed for subsequent kidney failure (ie, dialysis, kidney transplantation, or kidney-related death) by age 40 years. Outcomes were identified by self-report and linkage with the Organ Procurement and Transplantation Network and the National Death Index. A sibling cohort (n = 5,045) served as a …

A Multi-Site Randomized Trial Of A Clinical Decision Support Intervention To Improve Problem List Completeness, Adam Wright, Richard Schreiber, David W Bates, Skye Aaron, Angela Ai, Raja Arul Cholan, Akshay Desai, Miguel Divo, David A Dorr, Thu-Trang Hickman, Salman Hussain, Shari Just, Brian Koh, Stuart Lipsitz, Dustin Mcevoy, Trent Rosenbloom, Elise Russo, David Yut-Chee Ting, Asli Weitkamp, Dean F Sittig

Faculty, Staff and Student Publications

OBJECTIVE: To improve problem list documentation and care quality.

MATERIALS AND METHODS: We developed algorithms to infer clinical problems a patient has that are not recorded on the coded problem list using structured data in the electronic health record (EHR) for 12 clinically significant heart, lung, and blood diseases. We also developed a clinical decision support (CDS) intervention which suggests adding missing problems to the problem list. We evaluated the intervention at 4 diverse healthcare systems using 3 different EHRs in a randomized trial using 3 predetermined outcome measures: alert acceptance, problem addition, and National Committee for Quality Assurance Healthcare …