Medicine and Health Sciences Commons^™

Spatially Restricted Drivers And Transitional Cell Populations Cooperate With The Microenvironment In Untreated And Chemo-Resistant Pancreatic Cancer, Daniel Cui Zhou, Reyka G Jayasinghe, Siqi Chen, John M Herndon, Michael D Iglesia, Pooja Navale, Michael C Wendl, Wagma Caravan, Kazuhito Sato, Erik Storrs, Chia-Kuei Mo, Jingxian Liu, Austin N Southard-Smith, Yige Wu, Nataly Naser Al Deen, John M Baer, Robert S Fulton, Matthew A Wyczalkowski, Ruiyang Liu, Catrina C Fronick, Lucinda A Fulton, Andrew Shinkle, Lisa Thammavong, Houxiang Zhu, Hua Sun, Liang-Bo Wang, Yize Li, Chong Zuo, Joshua F Mcmichael, Sherri R Davies, Elizabeth L Appelbaum, Keenan J Robbins, Sara E Chasnoff, Xiaolu Yang, Ashley N Reeb, Clara Oh, Mamatha Serasanambati, Preet Lal, Rajees Varghese, Jay R Mashl, Jennifer Ponce, Nadezhda V Terekhanova, Lijun Yao, Fang Wang, Lijun Chen, Michael Schnaubelt, Rita Jui-Hsien Lu, Julie K Schwarz, Sidharth V Puram, Albert H Kim, Sheng-Kwei Song, Kooresh I Shoghi, Ken S Lau, Tao Ju, Ken Chen, Deyali Chatterjee, William G Hawkins, Hui Zhang, Samuel Achilefu, Milan G Chheda, Stephen T Oh, William E Gillanders, Feng Chen, David G Denardo, Ryan C Fields, Li Ding

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma is a lethal disease with limited treatment options and poor survival. We studied 83 spatial samples from 31 patients (11 treatment-naïve and 20 treated) using single-cell/nucleus RNA sequencing, bulk-proteogenomics, spatial transcriptomics and cellular imaging. Subpopulations of tumor cells exhibited signatures of proliferation, KRAS signaling, cell stress and epithelial-to-mesenchymal transition. Mapping mutations and copy number events distinguished tumor populations from normal and transitional cells, including acinar-to-ductal metaplasia and pancreatic intraepithelial neoplasia. Pathology-assisted deconvolution of spatial transcriptomic data identified tumor and transitional subpopulations with distinct histological features. We showed coordinated expression of TIGIT in exhausted and regulatory T cells …

Repurposing Epigenetic Inhibitors To Target The Clostridioides Difficile-Specific Dna Adenine Methyltransferase And Sporulation Regulator Cama, Jujun Zhou, John R Horton, Dan Yu, Ren Ren, Robert M Blumenthal, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

Epigenetically targeted therapeutic development, particularly for SAM-dependent methylations of DNA, mRNA and histones has been proceeding rapidly for cancer treatments over the past few years. However, this approach has barely begun to be exploited for developing new antibiotics, despite an overwhelming global need to counter antimicrobial resistance. Here, we explore whether SAM analogues, some of which are in (pre)clinical studies as inhibitors of human epigenetic enzymes, can also inhibit Clostridioides difficile-specific DNA adenine methyltransferase (CamA), a sporulation regulator present in all C. difficile genomes sequenced to date, but found in almost no other bacteria. We found that SGC0946 (an …

Hic2 Controls Developmental Hemoglobin Switching By Repressing Bcl11a Transcription, Peng Huang, Scott A Peslak, Ren Ren, Eugene Khandros, Kunhua Qin, Cheryl A Keller, Belinda Giardine, Henry W Bell, Xianjiang Lan, Malini Sharma, John R Horton, Osheiza Abdulmalik, Stella T Chou, Junwei Shi, Merlin Crossley, Ross C Hardison, Xiaodong Cheng, Gerd A Blobel

Faculty, Staff and Student Publications

The fetal-to-adult switch in hemoglobin production is a model of developmental gene control with relevance to the treatment of hemoglobinopathies. The expression of transcription factor BCL11A, which represses fetal β-type globin (HBG) genes in adult erythroid cells, is predominantly controlled at the transcriptional level but the underlying mechanism is unclear. We identify HIC2 as a repressor of BCL11A transcription. HIC2 and BCL11A are reciprocally expressed during development. Forced expression of HIC2 in adult erythroid cells inhibits BCL11A transcription and induces HBG expression. HIC2 binds to erythroid BCL11A enhancers to reduce chromatin accessibility and binding of transcription factor GATA1, …

Clinical Acceptability Of Fully Automated External Beam Radiotherapy For Cervical Cancer With Three Different Beam Delivery Techniques, Dong Joo Rhee, Anuja Jhingran, Kai Huang, Tucker J Netherton, Nazia Fakie, Ingrid White, Alicia Sherriff, Carlos E Cardenas, Lifei Zhang, Surendra Prajapati, Stephen F Kry, Beth M Beadle, William Shaw, Frederika O'Reilly, Jeannette Parkes, Hester Burger, Chris Trauernicht, Hannah Simonds, Laurence E Court

Faculty, Staff and Student Publications

Purpose: To fully automate CT-based cervical cancer radiotherapy by automating contouring and planning for three different treatment techniques.

Methods: We automated three different radiotherapy planning techniques for locally advanced cervical cancer: 2D 4-field-box (4-field-box), 3D conformal radiotherapy (3D-CRT), and volumetric modulated arc therapy (VMAT). These auto-planning algorithms were combined with a previously developed auto-contouring system. To improve the quality of the 4-field-box and 3D-CRT plans, we used an in-house, field-in-field (FIF) automation program. Thirty-five plans were generated for each technique on CT scans from multiple institutions and evaluated by five experienced radiation oncologists from three different countries. Every plan was …

Development And Validation Of A Checklist For Use With Automatically Generated Radiotherapy Plans, Kelly A Nealon, Laurence E Court, Raphael J Douglas, Lifei Zhang, Eun Young Han

Faculty, Staff and Student Publications

Purpose: To develop a checklist that improves the rate of error detection during the plan review of automatically generated radiotherapy plans.

Methods: A custom checklist was developed using guidance from American Association of Physicists in Medicine task groups 275 and 315 and the results of a failure modes and effects analysis of the Radiation Planning Assistant (RPA), an automated contouring and treatment planning tool. The preliminary checklist contained 90 review items for each automatically generated plan. In the first study, eight physicists were recruited from our institution who were familiar with the RPA. Each physicist reviewed 10 artificial intelligence-generated resident …

Multidimensional Single-Cell Analysis Identifies A Role For Cd2-Cd58 Interactions In Clinical Antitumor T Cell Responses, Gabrielle Romain, Paolo Strati, Ali Rezvan, Mohsen Fathi, Irfan N Bandey, Jay R T Adolacion, Darren Heeke, Ivan Liadi, Mario L Marques-Piubelli, Luisa M Solis, Ankit Mahendra, Francisco Vega, Laurence Jn Cooper, Harjeet Singh, Mike Mattie, Adrian Bot, Sattva S Neelapu, Navin Varadarajan

Faculty, Staff and Student Publications

The in vivo persistence of adoptively transferred T cells is predictive of antitumor response. Identifying functional properties of infused T cells that lead to in vivo persistence and tumor eradication has remained elusive. We profiled CD19-specific chimeric antigen receptor (CAR) T cells as the infusion products used to treat large B cell lymphomas using high-throughput single-cell technologies based on time-lapse imaging microscopy in nanowell grids (TIMING), which integrates killing, cytokine secretion, and transcriptional profiling. Our results show that the directional migration of CD19-specific CAR T cells is correlated with multifunctionality. We showed that CD2 on T cells is associated with …

Targeting The Dna Damage Response Beyond Poly(Adp-Ribose) Polymerase Inhibitors: Novel Agents And Rational Combinations, Natalie Y L Ngoi, Shannon N Westin, Timothy A Yap

Faculty, Staff and Student Publications

Purpose of review: Poly(ADP-ribose) polymerase (PARP) inhibitors have transformed treatment paradigms in multiple cancer types defined by homologous recombination deficiency (HRD) and have become the archetypal example of synthetic lethal targeting within the DNA damage response (DDR). Despite this success, primary and acquired resistance to PARP inhibition inevitability threaten the efficacy and durability of response to these drugs. Beyond PARP inhibitors, recent advances in large-scale functional genomic screens have led to the identification of a steadily growing list of genetic dependencies across the DDR landscape. This has led to a wide array of novel synthetic lethal targets and corresponding inhibitors, …

The Microbiome In Gastrointestinal Cancers, Michael G White, Jennifer A Wargo

Faculty, Staff and Student Publications

The human microbiome has been recognized as increasingly important to health and disease. This is especially prescient in the development of various cancers, their progression, and the microbiome's modulation of various anticancer therapeutics. Mechanisms behind these interactions have been increasingly well described through modulation of the host immune system as well as induction of genetic changes and local inactivation of cancer therapeutics. Here, we review these associations for a variety of gastrointestinal malignancies as well as contemporary strategies proposed to leverage these associations to improve cancer treatment outcomes.

Game Of Clones: Battles In The Field Of Carcinogenesis, Zahraa Rahal, Ansam Sinjab, Ignacio I Wistuba, Humam Kadara

Faculty, Staff and Student Publications

Recent advances in bulk sequencing approaches as well as genomic decoding at the single-cell level have revealed surprisingly high somatic mutational burdens in normal tissues, as well as increased our understanding of the landscape of "field cancerization", that is, molecular and immune alterations in mutagen-exposed normal-appearing tissues that recapitulated those present in tumors. Charting the somatic mutational landscapes in normal tissues can have strong implications on our understanding of how tumors arise from mutagenized epithelium. Making sense of those mutations to understand the progression along the pathologic continuum of normal epithelia, preneoplasias, up to malignant tissues will help pave way …

Integrated Imaging And Molecular Analysis To Decipher Tumor Microenvironment In The Era Of Immunotherapy, Jia Wu, Aaron T Mayer, Ruijiang Li

Faculty, Staff and Student Publications

Radiological imaging is an integral component of cancer care, including diagnosis, staging, and treatment response monitoring. It contains rich information about tumor phenotypes that are governed not only by cancer cellintrinsic biological processes but also by the tumor microenvironment, such as the composition and function of tumor-infiltrating immune cells. By analyzing the radiological scans using a quantitative radiomics approach, robust relations between specific imaging and molecular phenotypes can be established. Indeed, a number of studies have demonstrated the feasibility of radiogenomics for predicting intrinsic molecular subtypes and gene expression signatures in breast cancer based on MRI. In parallel, promising results …

Imaging Characteristics Of 4th Ventricle Subependymoma, Ali S Haider, Tarek Y El Ahmadieh, Maryam Haider, Kimmo J Hatanpaa, Marco C Pinho, Bruce E Mickey, Raymond Sawaya, Gregory N Fuller, Donald F Schomer, Maria Gule-Monroe

Faculty, Staff and Student Publications

Purpose: Subependymomas located within the 4th ventricle are rare, and the literature describing imaging characteristics is sparse. Here, we describe the clinical and radiological characteristics of 29 patients with 4th ventricle subependymoma.

Methods: This is a retrospective multi-center study performed after Institutional Review Board (IRB) approval. Patients diagnosed with suspected 4th ventricle subependymoma were identified. A review of clinical, radiology, and pathology reports along with magnetic resonance imaging (MRI) images was performed.

Results: Twenty-nine patients, including 6 females, were identified. Eighteen patients underwent surgery with histopathological confirmation of subependymoma. The median age at diagnosis was 52 years. Median tumor volume …

Changes In Apparent Diffusion Coefficient (Adc) In Serial Weekly Mri During Radiotherapy In Patients With Head And Neck Cancer: Results From The Predict-Hn Study, Sweet Ping Ng, Carlos E Cardenas, Houda Bahig, Baher Elgohari, Jihong Wang, Jason M Johnson, Amy C Moreno, Shalin J Shah, Adam S Garden, Jack Phan, G Brandon Gunn, Steven J Frank, Yao Ding, Lumine Na, Ying Yuan, Diana Urbauer, Abdallah S R Mohamed, David I Rosenthal, William H Morrison, Michael P Macmanus, Clifton D Fuller

Faculty, Staff and Student Publications

Background: The PREDICT-HN study aimed to systematically assess the kinetics of imaging MR biomarkers during head and neck radiotherapy.

Methods: Patients with intact squamous cell carcinoma of the head and neck were enrolled. Pre-, during, and post-treatment MRI were obtained. Serial GTV and ADC measurements were recorded. The correlation between each feature and the GTV was calculated using Spearman’s correlation coefficient. The linear mixed model was used to evaluate the change in GTV over time.

Results: A total of 41 patients completed the study. The majority (76%) had oropharyngeal cancer. A total of 36 patients had intact primary tumours that …

Contributions Of Circulating Micrornas For Early Detection Of Lung Cancer, Jody Vykoukal, Johannes F Fahrmann, Nikul Patel, Masayoshi Shimizu, Edwin J Ostrin, Jennifer B Dennison, Cristina Ivan, Gary E Goodman, Mark D Thornquist, Matt J Barnett, Ziding Feng, George A Calin, Samir M Hanash

Faculty, Staff and Student Publications

There is unmet need to develop circulating biomarkers that would enable earlier interception of lung cancer when more effective treatment options are available. Here, a set of 30 miRNAs, selected from a review of the published literature were assessed for their predictive performance in identifying lung cancer cases in the pre-diagnostic setting. The 30 miRNAs were assayed using sera collected from 102 individuals diagnosed with lung cancer within one year following blood draw and 212 controls matched for age, sex, and smoking status. The additive performance of top-performing miRNA candidates in combination with a previously validated four-protein marker panel (4MP) …

Molecular Analysis Of Short- Versus Long-Term Survivors Of High-Grade Serous Ovarian Carcinoma, Elaine Stur, Emine Bayraktar, Graziela Zibetti Dal Molin, Sherry Y Wu, Lingegowda S Mangala, Hui Yao, Ying Wang, Prahlad T Ram, Sara Corvigno, Hu Chen, Han Liang, Shelley S Tworoger, Douglas A Levine, Susan K Lutgendorf, Jinsong Liu, Kathleen N Moore, Keith A Baggerly, Beth Y Karlan, Anil K Sood

Faculty, Staff and Student Publications

Despite having similar histologic features, patients with high-grade serous ovarian carcinoma (HGSC) often experience highly variable outcomes. The underlying determinants for long-term survival (LTS, ≥10 years) versus short-term survival (STS, < 3 years) are largely unknown. The present study sought to identify molecular predictors of LTS for women with HGSC. A cohort of 24 frozen HGSC samples was collected (12 LTS and 12 STS) and analyzed at DNA, RNA, and protein levels. OVCAR5 and OVCAR8 cell lines were used for in vitro validation studies. For in vivo studies, we injected OVCAR8 cells into the peritoneal cavity of female athymic nude mice. From RNAseq analysis, 11 genes were found to be differentially expressed between the STS and LTS groups (fold change > 2; false discovery rate < 0.01). In the subsequent validation cohort, transmembrane protein 62 (TMEM62) was found to be related to LTS. CIBERSORT analysis showed that T cells (follicular helper) were found at higher levels in tumors from LTS than STS groups. In vitro data using OVCAR5 and OVCAR8 cells showed decreased proliferation with TMEM62 overexpression and positive correlation with a longevity-regulating pathway (KEGG HSA04213) at the RNA level. In vivo analysis using the OVCAR8-TMEM62-TetON model showed decreased tumor burden in mice with high- vs. low-expressing TMEM62 tumors. Our results demonstrate that restoring TMEM62 may be a novel approach for treatment of HGSC. These findings may have implications for biomarker and intervention strategies to help improve patient outcomes

Evaluation Of Vicinity-Based Hidden Markov Models For Genotype Imputation, Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci

Faculty, Staff and Student Publications

BACKGROUND: The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important insight into genotype-phenotype relationships, the cost of performing whole-genome sequencing on large samples is still prohibitive. In-silico genotype imputation coupled with genotyping-by-arrays is a cost-effective and accurate alternative for genotyping of common and uncommon variants. Imputation methods compare the genotypes of the typed variants with the large population-specific reference panels and estimate the genotypes of untyped variants by making use of the linkage disequilibrium patterns. Most accurate imputation methods are based on the Li-Stephens hidden Markov …

Assessing Age-Specific Vaccination Strategies And Post-Vaccination Reopening Policies For Covid-19 Control Using Seir Modeling Approach, Xia Wang, Hulin Wu, Sanyi Tang

Faculty, Staff and Student Publications

As the availability of COVID-19 vaccines, it is badly needed to develop vaccination guidelines to prioritize the vaccination delivery in order to effectively stop COVID-19 epidemic and minimize the loss. We evaluated the effect of age-specific vaccination strategies on the number of infections and deaths using an SEIR model, considering the age structure and social contact patterns for different age groups for each of different countries. In general, the vaccination priority should be given to those younger people who are active in social contacts to minimize the number of infections, while the vaccination priority should be given to the elderly …

Pancancer Analysis Of A Potential Gene Mutation Model In The Prediction Of Immunotherapy Outcomes, Lishan Yu, Caifeng Gong

Faculty, Staff and Student Publications

Background: Immune checkpoint blockade (ICB) represents a promising treatment for cancer, but predictive biomarkers are needed. We aimed to develop a cost-effective signature to predict immunotherapy benefits across cancers.

Methods: We proposed a study framework to construct the signature. Specifically, we built a multivariate Cox proportional hazards regression model with LASSO using 80% of an ICB-treated cohort (n = 1661) from MSKCC. The desired signature named SIGP was the risk score of the model and was validated in the remaining 20% of patients and an external ICB-treated cohort (n = 249) from DFCI.

Results: SIGP was based on …

Pharmacophore-Based Virtual Screening From Indonesian Herbal Database To Find Putative Selective Estrogen Receptor Degraders, Aisyah F. Prawiningrum, Rafika Indah Paramita, Linda Erlina

Indonesian Journal of Medical Chemistry and Bioinformatics

Most breast cancer cases are luminal subtypes which are estrogen receptor-sensitive or progesterone receptor-sensitive. Common treatments include surgery and adjuvant endocrine therapy by prescribing selective estrogen receptor degraders (SERD). SERD is a type of medication that inhibits estrogen receptor (ER) activity by degrading it, and as a result, downregulating it. The current FDA-approved SERD can only be administered through intramuscular injection. The aim of this study is to find orally non-toxic and bioavailable herbal alternatives of SERDs in Indonesian Herbal Database by doing virtual screening using LigandScout. The hit compounds were further analyzed using a molecular docking tool, AutoDock. Three …

Analysis And Visualization Of Molecular Docking 2hi4 Protein, Innas Widiasti

Indonesian Journal of Medical Chemistry and Bioinformatics

The crystal structure of the human microsomal complex P450 1A2 with alpha-naphthoflavone, a cytochrome P450 (CYP) enzyme is particularly important, as it is abundant in the human liver and alters a more diverse xenobiotic array than any other group of metabolic enzymes. CYP1A2 is abundantly found in the liver and involved in the metabolism of about 10% of clinically used drugs metabolized by CYP enzymes. The current drug discovery and development mostly uses high-throughput screening (HTS). However, this regular method is time-consuming and costly. To address the issue, an advanced drug discovery and development method namely chemical compound database screening …

Molecular Docking Of Vitamin D3 Receptor (Vdr) With Potential Herbal Substance As Ligand To Prevent Excessive Hair Loss In Menopausal Women, Aditya Parawangsa, Syailendra Karuna Sugito, Ariestiana Ayu Ananda Latifa, Nadya Dinda Safira, Shafa Ayuthaya, Raissa Rahmalia Az Zahra

Indonesian Journal of Medical Chemistry and Bioinformatics

Hair loss is commonly found in menopausal women. Hair loss is one of the consequences of hormonal dynamics when a woman stops having menstrual cycle, which affect calcium and vitamin D level in the body. Although it is clear enough that hormonal adjustment is required, older people and another sociodemographic factor prefer herbal-based therapeutic rather than synthetic-based due to tradition and positive experience factors. This study is an in-silico study which aims to point out the possible ligand candidates that can work as Vitamin D Receptor (VDR) agonists. We perform molecular docking using Autodock version 4.2 with the criteria of …

Controlling Multiple Covid-19 Epidemic Waves: An Insight From A Multi-Scale Model Linking The Behaviour Change Dynamics To The Disease Transmission Dynamics, Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao

Faculty, Staff and Student Publications

COVID-19 epidemics exhibited multiple waves regionally and globally since 2020. It is important to understand the insight and underlying mechanisms of the multiple waves of COVID-19 epidemics in order to design more efficient non-pharmaceutical interventions (NPIs) and vaccination strategies to prevent future waves. We propose a multi-scale model by linking the behaviour change dynamics to the disease transmission dynamics to investigate the effect of behaviour dynamics on COVID-19 epidemics using game theory. The proposed multi-scale models are calibrated and key parameters related to disease transmission dynamics and behavioural dynamics with/without vaccination are estimated based on COVID-19 epidemic data (daily reported …

Klf5 Governs Sphingolipid Metabolism And Barrier Function Of The Skin, Ying Lyu, Yinglu Guan, Lisa Deliu, Ericka Humphrey, Joanna K Frontera, Youn Joo Yang, Daniel Zamler, Kun Hee Kim, Vakul Mohanty, Kevin Jin, Vakul Mohanty, Virginia Liu, Jinzhuang Dou, Lucas J Veillon, Shwetha V Kumar, Philip L Lorenzi, Yang Chen, Kathleen M Mcandrews, Sergei Grivennikov, Xingzhi Song, Jianhua Zhang, Yuanxin Xi, Jing Wang, Ken Chen, Priyadharsini Nagarajan, Yejing Ge

Faculty, Staff and Student Publications

Stem cells are fundamental units of tissue remodeling whose functions are dictated by lineage-specific transcription factors. Home to epidermal stem cells and their upward-stratifying progenies, skin relies on its secretory functions to form the outermost protective barrier, of which a transcriptional orchestrator has been elusive. KLF5 is a Krüppel-like transcription factor broadly involved in development and regeneration whose lineage specificity, if any, remains unclear. Here we report KLF5 specifically marks the epidermis, and its deletion leads to skin barrier dysfunction in vivo. Lipid envelopes and secretory lamellar bodies are defective in KLF5-deficient skin, accompanied by preferential loss of complex sphingolipids. …

Terrestrial Health Applications Of Visual Assessment Technology And Machine Learning In Spaceflight Associated Neuro-Ocular Syndrome, Joshua Ong, Alireza Tavakkoli, Nasif Zaman, Sharif Amit Kamran, Ethan Waisberg, Nikhil Gautam, Andrew G Lee

Faculty, Staff and Student Publications

The neuro-ocular effects of long-duration spaceflight have been termed Spaceflight Associated Neuro-Ocular Syndrome (SANS) and are a potential challenge for future, human space exploration. The underlying pathogenesis of SANS remains ill-defined, but several emerging translational applications of terrestrial head-mounted, visual assessment technology and machine learning frameworks are being studied for potential use in SANS. To develop such technology requires close consideration of the spaceflight environment which is limited in medical resources and imaging modalities. This austere environment necessitates the utilization of low mass, low footprint technology to build a visual assessment system that is comprehensive, accessible, and efficient. In this …

Two Interaction Surfaces Between Xpa And Rpa Organize The Preincision Complex In Nucleotide Excision Repair, Mihyun Kim, Hyun-Suk Kim, Areetha D'Souza, Kaitlyn Gallagher, Eunwoo Jeong, Agnieszka Topolska-Wós, Kateryna Ogorodnik Le Meur, Chi-Lin Tsai, Miaw-Sheue Tsai, Minyong Kee, John A Tainer, Jung-Eun Yeo, Walter J Chazin, Orlando D Schärer

Faculty, Staff and Student Publications

The xeroderma pigmentosum protein A (XPA) and replication protein A (RPA) proteins fulfill essential roles in the assembly of the preincision complex in the nucleotide excision repair (NER) pathway. We have previously characterized the two interaction sites, one between the XPA N-terminal (XPA-N) disordered domain and the RPA32 C-terminal domain (RPA32C), and the other with the XPA DNA binding domain (DBD) and the RPA70AB DBDs. Here, we show that XPA mutations that inhibit the physical interaction in either site reduce NER activity in biochemical and cellular systems. Combining mutations in the two sites leads to an additive inhibition of NER, …

Grk3 Is A Poor Prognosticator And Serves As A Therapeutic Target In Advanced Gastric Adenocarcinoma, Yuan Li, Yibo Fan, Jinbang Xu, Longfei Huo, Ailing W Scott, Jiankang Jin, Boxuan Yang, Shan Shao, Lang Ma, Ying Wang, Xiaodan Yao, Melissa Pool Pizzi, Matheus Sewastjanow Da Silva, Guoliang Zhang, Lijuan Zhuo, Eun Jeong Cho, Kevin N Dalby, Namita D Shanbhag, Zhenning Wang, Wenliang Li, Shumei Song, Jaffer A Ajani

Faculty, Staff and Student Publications

Background: G protein-coupled receptor (GPCR) is the most targeted protein family by the FDA-approved drugs. GPCR-kinase 3 (GRK3) is critical for GPCR signaling. Our genomic analysis showed that GRK3 expression correlated with poor prognosis of gastric adenocarcinoma (GAC) patients. However, GRK3's functions and clinical utility in GAC progression and metastases are unknown.

Methods: We studied GRK3 expression in normal, primary, and metastatic GAC tissues. We identified a novel GRK3 inhibitor, LD2, through a chemical-library screen. Through genetic and pharmacologic modulations of GRK3, a series of functional and molecular studies were performed in vitro and in vivo. Impact of GRK3 on …

Lysyl Hydroxylase 2 Mediated Collagen Post-Translational Modifications And Functional Outcomes, Masahiko Terajima, Yuki Taga, Tomoyuki Nakamura, Hou-Fu Guo, Yukako Kayashima, Nobuyo Maeda-Smithies, Kshitij Parag-Sharma, Jeong Seon Kim, Antonio L Amelio, Kazunori Mizuno, Jonathan M Kurie, Mitsuo Yamauchi

Faculty, Staff and Student Publications

Lysyl hydroxylase 2 (LH2) is a member of LH family that catalyzes the hydroxylation of lysine (Lys) residues on collagen, and this particular isozyme has been implicated in various diseases. While its function as a telopeptidyl LH is generally accepted, several fundamental questions remain unanswered: 1. Does LH2 catalyze the hydroxylation of all telopeptidyl Lys residues of collagen? 2. Is LH2 involved in the helical Lys hydroxylation? 3. What are the functional consequences when LH2 is completely absent? To answer these questions, we generated LH2-null MC3T3 cells (LH2KO), and extensively characterized the type I collagen phenotypes in comparison with controls. …

Phase 2 Of Extracellular Rna Communication Consortium Charts Next-Generation Approaches For Extracellular Rna Research, Bogdan Mateescu, Jennifer C Jones, Roger P Alexander, Eric Alsop, Ji Yeong An, Mohammad Asghari, Alex Boomgarden, Laura Bouchareychas, Alfonso Cayota, Hsueh-Chia Chang, Al Charest, Daniel T Chiu, Robert J Coffey, Saumya Das, Peter De Hoff, Andrew Demello, Crislyn D'Souza-Schorey, David Elashoff, Kiarash R Eliato, Jeffrey L Franklin, David J Galas, Mark B Gerstein, Ionita H Ghiran, David B Go, Stephen Gould, Tristan R Grogan, James N Higginbotham, Florian Hladik, Tony Jun Huang, Xiaoye Huo, Elizabeth Hutchins, Dennis K Jeppesen, Tijana Jovanovic-Talisman, Betty Y S Kim, Sung Kim, Kyoung-Mee Kim, Yong Kim, Robert R Kitchen, Vaughan Knouse, Emily L Laplante, Carlito B Lebrilla, L James Lee, Kathleen M Lennon, Guoping Li, Feng Li, Tieyi Li, Tao Liu, Zirui Liu, Adam L Maddox, Kyle Mccarthy, Bessie Meechoovet, Nalin Maniya, Yingchao Meng, Aleksandar Milosavljevic, Byoung-Hoon Min, Amber Morey, Martin Ng, John Nolan, Getulio P De Oliveira Junior, Michael E Paulaitis, Tuan Anh Phu, Robert L Raffai, Eduardo Reátegui, Matthew E Roth, David A Routenberg, Joel Rozowsky, Joseph Rufo, Satyajyoti Senapati, Sigal Shachar, Himani Sharma, Anil K Sood, Stavros Stavrakis, Alessandra Stürchler, Muneesh Tewari, Juan P Tosar, Alexander K Tucker-Schwartz, Andrey Turchinovich, Nedyalka Valkov, Kendall Van Keuren-Jensen, Kasey C Vickers, Lucia Vojtech, Wyatt N Vreeland, Ceming Wang, Kai Wang, Zeyu Wang, Joshua A Welsh, Kenneth W Witwer, David T W Wong, Jianping Xia, Ya-Hong Xie, Kaichun Yang, Mikołaj P Zaborowski, Chenguang Zhang, Qin Zhang, Angela M Zivkovic, Louise C Laurent

Faculty, Staff and Student Publications

The extracellular RNA communication consortium (ERCC) is an NIH-funded program aiming to promote the development of new technologies, resources, and knowledge about exRNAs and their carriers. After Phase 1 (2013-2018), Phase 2 of the program (ERCC2, 2019-2023) aims to fill critical gaps in knowledge and technology to enable rigorous and reproducible methods for separation and characterization of both bulk populations of exRNA carriers and single EVs. ERCC2 investigators are also developing new bioinformatic pipelines to promote data integration through the exRNA atlas database. ERCC2 has established several Working Groups (Resource Sharing, Reagent Development, Data Analysis and Coordination, Technology Development, nomenclature, …

Structure-Based Design Of Stapled Peptides That Bind Gabarap And Inhibit Autophagy, Hawley Brown, Mia Chung, Alina Üffing, Nefeli Batistatou, Tiffany Tsang, Samantha Doskocil, Weiqun Mao, Dieter Willbold, Robert C Bast, Zhen Lu, Oliver H Weiergräber, Joshua A Kritzer

Faculty, Staff and Student Publications

The LC3/GABARAP family of proteins is involved in nearly every stage of autophagy. Inhibition of LC3/GABARAP proteins is a promising approach to blocking autophagy, which sensitizes advanced cancers to DNA-damaging chemotherapy. Here, we report the structure-based design of stapled peptides that inhibit GABARAP with nanomolar affinities. Small changes in staple structure produced stapled peptides with very different binding modes and functional differences in LC3/GABARAP paralog selectivity, ranging from highly GABARAP-specific to broad inhibition of both subfamilies. The stapled peptides exhibited considerable cytosolic penetration and resistance to biological degradation. They also reduced autophagic flux in cultured ovarian cancer cells and sensitized …

Immuno-Genomic Profiling Of Biopsy Specimens Predicts Neoadjuvant Chemotherapy Response In Esophageal Squamous Cell Carcinoma, Shota Sasagawa, Hiroaki Kato, Koji Nagaoka, Changbo Sun, Motohiro Imano, Takao Sato, Todd A Johnson, Masashi Fujita, Kazuhiro Maejima, Yuki Okawa, Kazuhiro Kakimi, Takushi Yasuda, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive cancers and is primarily treated with platinum-based neoadjuvant chemotherapy (NAC). Some ESCCs respond well to NAC. However, biomarkers to predict NAC sensitivity and their response mechanism in ESCC remain unclear. We perform whole-genome sequencing and RNA sequencing analysis of 141 ESCC biopsy specimens before NAC treatment to generate a machine-learning-based diagnostic model to predict NAC reactivity in ESCC and analyzed the association between immunogenomic features and NAC response. Neutrophil infiltration may play an important role in ESCC response to NAC. We also demonstrate that specific copy-number alterations and copy-number …

Secure Human Action Recognition By Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams

Faculty, Staff and Student Publications

Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordable webcams, together with cloud computing services (to run machine learning algorithms), can potentially bring significant social benefits. However, it has not been deployed in practice because of privacy concerns. In this paper, we propose a strategy that uses homomorphic encryption to resolve this dilemma, which guarantees information confidentiality while retaining action detection. Our protocol for secure inference can distinguish falls from activities of daily living with 86.21% sensitivity and 99.14% specificity, with an average …