Medicine and Health Sciences Commons^™

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 …

Cancer-Driving Mutations Are Enriched In Genic Regions Intolerant To Germline Variation, Dimitrios Vitsios, Ryan S Dhindsa, Dorota Matelska, Jonathan Mitchell, Xuequing Zou, Joshua Armenia, Fengyuan Hu, Quanli Wang, Ben Sidders, Andrew R Harper, Slavé Petrovski

Duncan NRI Faculty and Staff Publications

Large reference datasets of protein-coding variation in human populations have allowed us to determine which genes and genic subregions are intolerant to germline genetic variation. There is also a growing number of genes implicated in severe Mendelian diseases that overlap with genes implicated in cancer. We hypothesized that cancer-driving mutations might be enriched in genic subregions that are depleted of germline variation relative to somatic variation. We introduce a new metric, OncMTR (oncology missense tolerance ratio), which uses 125,748 exomes in the Genome Aggregation Database (gnomAD) to identify these genic subregions. We demonstrate that OncMTR can significantly predict driver mutations …

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 …

Non-Linear Machine Learning Models Incorporating Snps And Prs Improve Polygenic Prediction In Diverse Human Populations, Michael Elgart, Genevieve Lyons, Santiago Romero-Brufau, Nuzulul Kurniansyah, Jennifer A Brody, Xiuqing Guo, Henry J Lin, Laura Raffield, Yan Gao, Han Chen, Paul De Vries, Donald M Lloyd-Jones, Leslie A Lange, Gina M Peloso, Myriam Fornage, Jerome I Rotter, Stephen S Rich, Alanna C Morrison, Bruce M Psaty, Daniel Levy, Susan Redline, Nhlbi’S Trans-Omics In Precision Medicine (Topmed) Consortium, Tamar Sofer

Faculty, Staff and Student Publications

Polygenic risk scores (PRS) are commonly used to quantify the inherited susceptibility for a trait, yet they fail to account for non-linear and interaction effects between single nucleotide polymorphisms (SNPs). We address this via a machine learning approach, validated in nine complex phenotypes in a multi-ancestry population. We use an ensemble method of SNP selection followed by gradient boosted trees (XGBoost) to allow for non-linearities and interaction effects. We compare our results to the standard, linear PRS model developed using PRSice, LDpred2, and lassosum2. Combining a PRS as a feature in an XGBoost model results in a relative increase in …

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 …

Measuring And Controlling Medical Record Abstraction (Mra) Error Rates In An Observational Study, Maryam Y Garza, Tremaine Williams, Sahiti Myneni, Susan H Fenton, Songthip Ounpraseuth, Zhuopei Hu, Jeannette Lee, Jessica Snowden, Meredith N Zozus, Anita C Walden, Alan E Simon, Barbara Mcclaskey, Sarah G Sanders, Sandra S Beauman, Sara R Ford, Lacy Malloch, Amy Wilson, Lori A Devlin, Leslie W Young

Faculty, Staff and Student Publications

BACKGROUND: Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical research studies relying on secondary use data. Yet, the quality of data collected using MRA is seldom assessed. We employed a novel, theory-based framework for data quality assurance and quality control of MRA. The objective of this work is to determine the potential impact of formalized MRA training and continuous quality control (QC) processes on data quality over time.

METHODS: We conducted a retrospective analysis of QC data collected during a cross-sectional medical record review of mother-infant dyads with Neonatal …

A Multi-Institutional Prediction Model To Estimate The Risk Of Recurrence And Mortality After Mastectomy For T1-2n1 Breast Cancer, Sarah M C Sittenfeld, Emily C Zabor, Sarah N Hamilton, Henry M Kuerer, Mahmoud El-Tamer, George E Naoum, Pauline T Truong, Alan Nichol, Benjamin D Smith, Wendy A Woodward, Tracy-Ann Moo, Simon N Powell, Chirag S Shah, Alphonse G Taghian, Ibrahim Abu-Gheida, Rahul D Tendulkar

Faculty, Staff and Student Publications

Background: Post-mastectomy radiation therapy (PMRT) in women with pathologic stage T1-2N1M0 breast cancer is controversial.

Methods: Data from five North American institutions including women undergoing mastectomy without neoadjuvant therapy with pT1-2N1M0 breast cancer treated from 2006 to 2015 were pooled for analysis. Competing-risks regression was performed to identify factors associated with locoregional recurrence (LRR), distant metastasis (DM), overall recurrence (OR), and breast cancer mortality (BCM).

Results: A total of 3532 patients were included for analysis with a median follow-up time among survivors of 6.8 years (interquartile range [IQR], 4.5-9.5 years). The 2154 (61%) patients who received PMRT had significantly more …

Immunotherapy For Type 1 Diabetes Mellitus By Adjuvant-Free Schistosoma Japonicum-Egg Tip-Loaded Asymmetric Microneedle Patch (Stamp), Haoming Huang, Dian Hu, Zhuo Chen, Jiarong Xu, Rengui Xu, Yusheng Gong, Zhengming Fang, Ting Wang, Wei Chen

Faculty, Staff and Student Publications

BACKGROUND: Type 1 diabetes mellitus (T1DM) is an autoimmune disease mediated by autoreactive T cells and dominated by Th1 response polarization. Insulin replacement therapy faces great challenges to this autoimmune disease, requiring highly frequent daily administration. Intriguingly, the progression of T1DM has proven to be prevented or attenuated by helminth infection or worm antigens for a relatively long term. However, the inevitable problems of low safety and poor compliance arise from infection with live worms or direct injection of antigens. Microneedles would be a promising candidate for local delivery of intact antigens, thus providing an opportunity for the clinical immunotherapy …

Current Challenges In Image-Guided Magnetic Hyperthermia Therapy For Liver Cancer, Anirudh Sharma, Erik Cressman, Anilchandra Attaluri, Dara L Kraitchman, Robert Ivkov

Faculty, Staff and Student Publications

For patients diagnosed with advanced and unresectable hepatocellular carcinoma (HCC), liver transplantation remains the best option to extend life. Challenges with organ supply often preclude liver transplantation, making palliative non-surgical options the default front-line treatments for many patients. Even with imaging guidance, success following treatment remains inconsistent and below expectations, so new approaches are needed. Imaging-guided thermal therapy interventions have emerged as attractive procedures that offer individualized tumor targeting with the potential for the selective targeting of tumor nodules without impairing liver function. Furthermore, imaging-guided thermal therapy with added standard-of-care chemotherapies targeted to the liver tumor can directly reduce the …

A Comprehensive Search Of Non-Canonical Proteins In Non-Small Cell Lung Cancer And Their Impact On The Immune Response, Ehsan Irajizad, Johannes F Fahrmann, James P Long, Jody Vykoukal, Makoto Kobayashi, Michela Capello, Chuan-Yih Yu, Yining Cai, Fu Chung Hsiao, Nikul Patel, Soyoung Park, Qian Peng, Jennifer B Dennison, Taketo Kato, Mei Chee Tai, Ayumu Taguchi, Humam Kadara, Ignacio I Wistuba, Hiroyuki Katayama, Kim-Anh Do, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

There is substantial interest in mining neoantigens for cancer applications. Non-canonical proteins resulting from frameshift mutations have been identified as neoantigens in cancer. We investigated the landscape of non-canonical proteins in non-small cell lung cancer (NSCLC) and their induced immune response in the form of autoantibodies. A database of cryptoproteins was computationally constructed and comprised all alternate open reading frames (altORFs) and ORFs identified in pseudogenes, noncoding RNAs, and untranslated regions of mRNAs that did not align with known canonical proteins. Proteomic profiles of seventeen lung adenocarcinoma (LUAD) cell lines were searched to evaluate the occurrence of cryptoproteins. To assess …

Oncogenic Collagen I Homotrimers From Cancer Cells Bind To Α3Β1 Integrin And Impact Tumor Microbiome And Immunity To Promote Pancreatic Cancer, Yang Chen, Sujuan Yang, Jena Tavormina, Desiree Tampe, Michael Zeisberg, Huamin Wang, Krishnan K Mahadevan, Chang-Jiun Wu, Hikaru Sugimoto, Chia-Chi Chang, Robert R Jenq, Kathleen M Mcandrews, Raghu Kalluri

Faculty, Staff and Student Publications

In contrast to normal type I collagen (Col1) heterotrimer (α1/α2/α1) produced by fibroblasts, pancreatic cancer cells specifically produce unique Col1 homotrimer (α1/α1/α1). Col1 homotrimer results from epigenetic suppression of the Col1a2 gene and promotes oncogenic signaling, cancer cell proliferation, tumor organoid formation, and growth via α3β1 integrin on cancer cells, associated with tumor microbiome enriched in anaerobic Bacteroidales in hypoxic and immunosuppressive tumors. Deletion of Col1 homotrimers increases overall survival of mice with pancreatic ductal adenocarcinoma (PDAC), associated with reprograming of the tumor microbiome with increased microaerophilic Campylobacterales, which can be reversed with broad-spectrum antibiotics. Deletion of Col1 homotrimers enhances …

Miracle Of Microrna-Driven Cancer Nanotherapeutics, Goknur Kara, Banu Arun, George A Calin, Bulent Ozpolat

Faculty, Staff and Student Publications

MicroRNAs (miRNAs) are non-protein-coding RNA molecules 20-25 nucleotides in length that can suppress the expression of genes involved in numerous physiological processes in cells. Accumulating evidence has shown that dysregulation of miRNA expression is related to the pathogenesis of various human diseases and cancers. Thus, stragegies involving either restoring the expression of tumor suppressor miRNAs or inhibiting overexpressed oncogenic miRNAs hold potential for targeted cancer therapies. However, delivery of miRNAs to tumor tissues is a challenging task. Recent advances in nanotechnology have enabled successful tumor-targeted delivery of miRNA therapeutics through newly designed nanoparticle-based carrier systems. As a result, miRNA therapeutics …

The Value Of In Vivo Reflectance Confocal Microscopy As An Assessment Tool In Chemotherapy-Induced Peripheral Neuropathy: A Pilot Study, Sabrina R Ramnarine, Patrick M Dougherty, Roman Rolke, Linda J Williams, Christi Alessi-Fox, Andrew J Coleman, Caterina Longo, Lesley A Colvin, Marie T Fallon

Faculty, Staff and Student Publications

Background: There is a lack of standardized objective and reliable assessment tools for chemotherapy-induced peripheral neuropathy (CIPN). In vivo reflectance confocal microscopy (RCM) imaging offers a non-invasive method to identify peripheral neuropathy markers, namely Meissner's corpuscles (MC). This study investigated the feasibility and value of RCM in CIPN.

Patients and methods: Reflectance confocal microscopy was performed on the fingertip to evaluate MC density in 45 healthy controls and 9 patients with cancer (prior, during, and post-chemotherapy). Quantification was completed by 2 reviewers (one blinded), with maximum MC count/3 × 3 mm image reported. Quantitative Sensory Testing (QST; thermal and mechanical …

Adaptation And Dosimetric Commissioning Of A Synchrotron-Based Proton Beamline For Flash Experiments, Ming Yang, Xiaochun Wang, Fada Guan, Uwe Titt, Kiminori Iga, Dadi Jiang, Takeshi Takaoka, Satoshi Tootake, Tadashi Katayose, Masumi Umezawa, Emil Schüler, Steven Frank, Steven H Lin, Narayan Sahoo, Albert C Koong, Radhe Mohan, X Ronald Zhu

Faculty, Staff and Student Publications

Objective. Irradiation with ultra-high dose rates (>40 Gy s^-1), also known as FLASH irradiation, has the potential to shift the paradigm of radiation therapy because of its reduced toxicity to normal tissues compared to that of conventional irradiations. The goal of this study was to (1) achieve FLASH irradiation conditions suitable for pre-clinicalin vitroandin vivobiology experiments using our synchrotron-based proton beamline and (2) commission the FLASH irradiation conditions achieved.

Approach. To achieve these suitable FLASH conditions, we made a series of adaptations to our proton beamline, including modifying the spill length …

Primary Cutaneous Lymphoma: Recommendations For Clinical Trial Design And Staging Update From The Iscl, Usclc, And Eortc, Elise A Olsen, Sean Whittaker, Rein Willemze, Lauren Pinter-Brown, Francine Foss, Larisa Geskin, Lawrence Schwartz, Steven Horwitz, Joan Guitart, John Zic, Youn H Kim, Gary S Wood, Madeleine Duvic, Wei Ai, Michael Girardi, Alejandro Gru, Emmanuella Guenova, Emmilia Hodak, Richard Hoppe, Werner Kempf, Ellen Kim, Mary Jo Lechowicz, Pablo Ortiz-Romero, Evangelia Papadavid, Pietro Quaglino, Mark Pittelkow, H Miles Prince, Jose Antonio Sanches, Makoto Sugaya, Maarten Vermeer, Jasmine Zain, Robert Knobler, Rudolf Stadler, Martine Bagot, Julia Scarisbrick

Faculty, Staff and Student Publications

The number of patients with primary cutaneous lymphoma (PCL) relative to other non-Hodgkin lymphomas (NHLs) is small and the number of subtypes large. Although clinical trial guidelines have been published for mycosis fungoides/Sézary syndrome, the most common type of PCL, none exist for the other PCLs. In addition, staging of the PCLs has been evolving based on new data on potential prognostic factors, diagnosis, and assessment methods of both skin and extracutaneous disease and a desire to align the latter with the Lugano guidelines for all NHLs. The International Society for Cutaneous Lymphomas (ISCL), the United States Cutaneous LymphomaConsortium (USCLC), …

Risk Assessment With Low-Pass Whole-Genome Sequencing Of Cell-Free Dna Before Cd19 Car T-Cell Therapy For Large B-Cell Lymphoma, Hua-Jay J Cherng, Ryan Sun, Bryant Sugg, Russell Irwin, Haopeng Yang, Cao Cuong Le, Qing Deng, Luis Fayad, Nathan H Fowler, Simrit Parmar, Raphael Steiner, Fredrick Hagemeister, Ranjit Nair, Hun Ju Lee, Maria Rodriguez, Felipe Samaniego, Swaminathan P Iyer, Christopher R Flowers, Linghua Wang, Loretta J Nastoupil, Sattva S Neelapu, Sairah Ahmed, Paolo Strati, Michael R Green, Jason Westin

Faculty, Staff and Student Publications

Patients with relapsed or refractory large B-cell lymphomas (rrLBCL) can achieve long-term remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more than half of recipients will experience treatment failure. Thus, approaches are needed to identify high-risk patients who may benefit from alternative or consolidative therapy. We evaluated low-pass whole-genome sequencing (lpWGS) of cell-free DNA (cfDNA) before CART19 as a new approach for risk stratification. We performed lpWGS on pretreatment plasma samples from 122 patients at time of leukapheresis who received standard-of-care CART19 for rrLBCL to define DNA copy number alterations (CNAs). In multivariable selection, high focal CNA score …

Microenvironmental Landscape Of Human Melanoma Brain Metastases In Response To Immune Checkpoint Inhibition, Christopher Alvarez-Breckenridge, Samuel C Markson, Jackson H Stocking, Naema Nayyar, Matt Lastrapes, Matthew R Strickland, Albert E Kim, Magali De Sauvage, Ashish Dahal, Juliana M Larson, Joana L Mora, Andrew W Navia, Robert H Klein, Benjamin M Kuter, Corey M Gill, Mia Bertalan, Brian Shaw, Alexander Kaplan, Megha Subramanian, Aarushi Jain, Swaminathan Kumar, Husain Danish, Michael White, Osmaan Shahid, Kristen E Pauken, Brian C Miller, Dennie T Frederick, Christine Hebert, Mckenzie Shaw, Maria Martinez-Lage, Matthew Frosch, Nancy Wang, Elizabeth Gerstner, Brian V Nahed, William T Curry, Bob Carter, Daniel P Cahill, Genevieve Marie Boland, Benjamin Izar, Michael A Davies, Arlene H Sharpe, Mario L Suvà, Ryan J Sullivan, Priscilla K Brastianos, Scott L Carter

Faculty, Staff and Student Publications

Melanoma-derived brain metastases (MBM) represent an unmet clinical need because central nervous system progression is frequently an end stage of the disease. Immune checkpoint inhibitors (ICI) provide a clinical opportunity against MBM; however, the MBM tumor microenvironment (TME) has not been fully elucidated in the context of ICI. To dissect unique elements of the MBM TME and correlates of MBM response to ICI, we collected 32 fresh MBM and performed single-cell RNA sequencing of the MBM TME and T-cell receptor clonotyping on T cells from MBM and matched blood and extracranial lesions. We observed myeloid phenotypic heterogeneity in the MBM …

Robust And Efficient Assessment Of Potency (Reap) As A Quantitative Tool For Dose-Response Curve Estimation, Shouhao Zhou, Xinyi Liu, Xinying Fang, Vernon M Chinchilli, Michael Wang, Hong-Gang Wang, Nikolay V Dokholyan, Chan Shen, J Jack Lee

Faculty, Staff and Student Publications

The median-effect equation has been widely used to describe the dose-response relationship and identify compounds that activate or inhibit specific disease targets in contemporary drug discovery. However, the experimental data often contain extreme responses, which may significantly impair the estimation accuracy and impede valid quantitative assessment in the standard estimation procedure. To improve the quantitative estimation of the dose-response relationship, we introduce a novel approach based on robust beta regression. Substantive simulation studies under various scenarios demonstrate solid evidence that the proposed approach consistently provides robust estimation for the median-effect equation, particularly when there are extreme outcome observations. Moreover, simulation …