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Shen Z, Zhang T, Twumasi G, Zhang J, Wang J, Xi Y, Wang R, Wang J, Zhang R, Liu H. Genetic analysis of a Kaijiang duck conservation population through genome-wide scan. Br Poult Sci 2024:1-9. [PMID: 38738932 DOI: 10.1080/00071668.2024.2335937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 03/08/2024] [Indexed: 05/14/2024]
Abstract
1. The Kaijiang duck is a native Chinese breed known for its excellent egg laying performance, killing-out percentage (88.57%), and disease resistance. The assessment of population genetic structure is the basis for understanding the genetics of indigenous breeds and for their protection and management.2. In this study, whole-genome sequencing was performed on 60 Kaijiang ducks to identify genetic variations and investigate the population structure. Homozygosity (ROH) analysis was conducted to assess inbreeding levels in the population.3. The study revealed a moderate level of inbreeding, indicated by an average inbreeding coefficient of 0.1043. This may impact the overall genetic diversity.4. Genomic Regions of Interest identified included 168 genomic regions exhibiting high levels of autozygosity. These regions were associated with processes including muscle growth, pigmentation, neuromodulation, and growth and reproduction.5. The significance of these pathways indicated their potential role in shaping the desirable traits of the Kaijiang duck. These findings provide insights into the genetic basis of the Kaijiang duck's desirable traits and can inform future breeding and conservation efforts.
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Affiliation(s)
- Z Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - T Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - G Twumasi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - R Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - R Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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2
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Xu YH, Liu YK, Xi Y, Wang Y, Li YM. [Clinical value of the implication of extracorporeal carbon dioxide removal in patients with acute respiratory distress syndrome]. Zhonghua Yi Xue Za Zhi 2024; 104:1242-1246. [PMID: 38637163 DOI: 10.3760/cma.j.cn112137-20231026-00907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Extracorporeal carbon dioxide removal (ECCO2R) is a respiratory support technique based on extra-pulmonary gas exchange, which can effectively remove carbon dioxide generated in-vivo, reducing the requirements of respiratory support from mechanical ventilation. With improvements in extracorporeal life support technologies and increasing clinical experience, ECCO2R has potential value in clinical application with acute respiratory distress syndrome (ARDS). This review article discusses the principles of ECCO2R, its relevant indications for ARDS, clinical evidence, existing issues, and future directions, aiming to provide more references for the application in ARDS.
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Affiliation(s)
- Y H Xu
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory and Health, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
| | - Y K Liu
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory and Health, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
| | - Y Xi
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory and Health, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
| | - Y Wang
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory and Health, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
| | - Y M Li
- Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory and Health, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
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3
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Aggarwal VA, Thakur U, Silva FD, Ray G, Weinschenk C, Gandy M, Xi Y, Chhabra A. Flexed elbow, abducted shoulder, forearm supinated (FABS) reconstruction from three-dimensional elbow MRI: diagnostic performance assessment in biceps head anatomy and pathology. Clin Radiol 2024; 79:e567-e573. [PMID: 38341341 DOI: 10.1016/j.crad.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/19/2023] [Accepted: 12/24/2023] [Indexed: 02/12/2024]
Abstract
AIM To determine inter-reader analysis and diagnostic performance on digitally reconstructed virtual flexed, abducted, supinated (FABS) imaging from three-dimensional (3D) isotropic elbow magnetic resonance imaging (MRI). MATERIALS AND METHODS Six musculoskeletal radiologists independently evaluated elbow MRI images with virtual FABS reconstructions, blinded to clinical findings and final diagnoses. Each radiologist recorded a binary result as to whether the tendon was intact and if both heads were visible, along with a categorical value to the type of tear and extent of retraction in centimetres where applicable. Kappa and interclass correlation (ICC) were reported with 95% confidence intervals. Areas under the receiver operating curve (AUC) were reported. RESULTS FABS reconstructions were obtained successfully in all 48 cases. With respect to tendon intactness, visibility of both heads, and type of tear, the Kappa values were 0.66 (0.53-0.78), 0.24 (0.12-0.37), and 0.55 (0.43-0.66), respectively. For the extent of retraction, the ICC was 0.85 (0.79-0.91) when including the tendons with and without retraction and 0.78 (0.61-0.91) when only including tendons with retraction. For tear versus no tear, AUC values were 0.82 (0.74-0.89) to 0.96 (0.91-1.01). CONCLUSION Digital reconstruction of FABS positioning is feasible and allows good assessment of individual tendon head tears and retraction with high diagnostic performance.
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Affiliation(s)
- V A Aggarwal
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
| | - U Thakur
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - F D Silva
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - G Ray
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - C Weinschenk
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - M Gandy
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Y Xi
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - A Chhabra
- Radiology, UT Southwestern Medical Center, Dallas, TX, USA; Orthopedic Surgery, UT Southwestern Medical Center, Dallas, TX, USA
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4
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Zacharias NM, Segarra L, Akagi K, Fowlkes NW, Chen H, Alaniz A, de la Cerda C, Pesquera P, Xi Y, Wang J, Chahoud J, Lu X, Rao P, Martinez-Ferrer M, Pettaway CA. Transcriptomic, Proteomic, and Genomic Mutational Fraction Differences Based on HPV Status Observed in Patient-Derived Xenograft Models of Penile Squamous Cell Carcinoma. Cancers (Basel) 2024; 16:1066. [PMID: 38473423 PMCID: PMC10930474 DOI: 10.3390/cancers16051066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024] Open
Abstract
Metastatic penile squamous cell carcinoma (PSCC) has only a 50% response rate to first-line combination chemotherapies and there are currently no targeted-therapy approaches. Therefore, we have an urgent need in advanced-PSCC treatment to find novel therapies. Approximately half of all PSCC cases are positive for high-risk human papillomavirus (HR-HPV). Our objective was to generate HPV-positive (HPV+) and HPV-negative (HPV-) patient-derived xenograft (PDX) models and to determine the biological differences between HPV+ and HPV- disease. We generated four HPV+ and three HPV- PSCC PDX animal models by directly implanting resected patient tumor tissue into immunocompromised mice. PDX tumor tissue was found to be similar to patient tumor tissue (donor tissue) by histology and short tandem repeat fingerprinting. DNA mutations were mostly preserved in PDX tissues and similar APOBEC (apolipoprotein B mRNA editing catalytic polypeptide) mutational fractions in donor tissue and PDX tissues were noted. A higher APOBEC mutational fraction was found in HPV+ versus HPV- PDX tissues (p = 0.044), and significant transcriptomic and proteomic expression differences based on HPV status included p16 (CDKN2A), RRM2, and CDC25C. These models will allow for the direct testing of targeted therapies in PSCC and determine their response in correlation to HPV status.
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Affiliation(s)
- Niki M. Zacharias
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
- MD Anderson UTHealth Graduate School, Houston, TX 77030, USA
| | - Luis Segarra
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
- MD Anderson UTHealth Graduate School, Houston, TX 77030, USA
| | - Keiko Akagi
- Department of Thoracic Head & Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Natalie Wall Fowlkes
- Department of Veterinary Medicine & Surgery, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Huiqin Chen
- Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Angelita Alaniz
- Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston, Houston, TX 77030, USA;
| | - Carolyn de la Cerda
- Department of Surgical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Pedro Pesquera
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.X.); (J.W.)
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.X.); (J.W.)
| | - Jad Chahoud
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA;
| | - Xin Lu
- Department of Biological Sciences, University of Notre Dame, Norte Dame, IN 46556, USA;
| | - Priya Rao
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Magaly Martinez-Ferrer
- Department of Pharmaceutical Sciences, University of Puerto Rico Medical Sciences Campus & Cancer Biology, UPR Comprehensive Cancer Center, San Juan, PR 00936, USA;
| | - Curtis A. Pettaway
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
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5
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Heeke S, Gay CM, Estecio MR, Tran H, Morris BB, Zhang B, Tang X, Raso MG, Rocha P, Lai S, Arriola E, Hofman P, Hofman V, Kopparapu P, Lovly CM, Concannon K, De Sousa LG, Lewis WE, Kondo K, Hu X, Tanimoto A, Vokes NI, Nilsson MB, Stewart A, Jansen M, Horváth I, Gaga M, Panagoulias V, Raviv Y, Frumkin D, Wasserstrom A, Shuali A, Schnabel CA, Xi Y, Diao L, Wang Q, Zhang J, Van Loo P, Wang J, Wistuba II, Byers LA, Heymach JV. Tumor- and circulating-free DNA methylation identifies clinically relevant small cell lung cancer subtypes. Cancer Cell 2024; 42:225-237.e5. [PMID: 38278149 PMCID: PMC10982990 DOI: 10.1016/j.ccell.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/26/2023] [Accepted: 01/04/2024] [Indexed: 01/28/2024]
Abstract
Small cell lung cancer (SCLC) is an aggressive malignancy composed of distinct transcriptional subtypes, but implementing subtyping in the clinic has remained challenging, particularly due to limited tissue availability. Given the known epigenetic regulation of critical SCLC transcriptional programs, we hypothesized that subtype-specific patterns of DNA methylation could be detected in tumor or blood from SCLC patients. Using genomic-wide reduced-representation bisulfite sequencing (RRBS) in two cohorts totaling 179 SCLC patients and using machine learning approaches, we report a highly accurate DNA methylation-based classifier (SCLC-DMC) that can distinguish SCLC subtypes. We further adjust the classifier for circulating-free DNA (cfDNA) to subtype SCLC from plasma. Using the cfDNA classifier (cfDMC), we demonstrate that SCLC phenotypes can evolve during disease progression, highlighting the need for longitudinal tracking of SCLC during clinical treatment. These data establish that tumor and cfDNA methylation can be used to identify SCLC subtypes and might guide precision SCLC therapy.
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Affiliation(s)
- Simon Heeke
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcos R Estecio
- Epigenetic and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hai Tran
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Benjamin B Morris
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bingnan Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ximing Tang
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maria Gabriela Raso
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pedro Rocha
- Medical Oncology Department, Hospital del Mar, Barcelona, Spain
| | - Siqi Lai
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth Houston, Houston, TX, USA
| | - Edurne Arriola
- Medical Oncology Department, Hospital del Mar, Barcelona, Spain
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, IHU RespirERA, Nice Hospital, University Côte d'Azur, Nice, France
| | - Veronique Hofman
- Laboratory of Clinical and Experimental Pathology, IHU RespirERA, Nice Hospital, University Côte d'Azur, Nice, France
| | - Prasad Kopparapu
- Department of Medicine, Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christine M Lovly
- Department of Medicine, Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyle Concannon
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luana Guimaraes De Sousa
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Whitney Elisabeth Lewis
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kimie Kondo
- Epigenetic and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Hu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Azusa Tanimoto
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Natalie I Vokes
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Monique B Nilsson
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Allison Stewart
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maarten Jansen
- Pulmonary Department, Ziekenhuisgroep Twente, Hengelo, the Netherlands
| | - Ildikó Horváth
- National Korányi Institute of Pulmonology, Budapest, Hungary
| | - Mina Gaga
- 7th Respiratory Medicine Department, Athens Chest Hospital, Athens, Greece
| | | | - Yael Raviv
- Department of Medicine, Pulmonology, Institute, Soroka Medical Center, Ben-Gurion University, Beer-Sheva, Israel
| | | | | | | | | | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peter Van Loo
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The Francis Crick Institute, London, UK
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lauren A Byers
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - John V Heymach
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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6
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Zhang B, Lewis W, Stewart CA, Morris BB, Solis LM, Serrano A, Xi Y, Wang Q, Lopez ER, Concannon K, Heeke S, Tang X, Raso G, Cardnell RJ, Vokes N, Blumenschein G, Elamin Y, Fosella F, Tsao A, Skoulidis F, Hume CB, Sasak K, Lewis J, Rinsurongkawong W, Rinsurongkawong V, Lee J, Tran H, Zhang J, Gibbons D, Vaporciyan A, Wang J, Park K, Heymach JV, Byers LA, Gay CM, Le X. Brief Report: Comprehensive Clinicogenomic Profiling of Small Cell Transformation From EGFR-Mutant NSCLC Informs Potential Therapeutic Targets. JTO Clin Res Rep 2024; 5:100623. [PMID: 38357092 PMCID: PMC10864847 DOI: 10.1016/j.jtocrr.2023.100623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 12/03/2023] [Accepted: 12/11/2023] [Indexed: 02/16/2024] Open
Abstract
Introduction NSCLC transformation to SCLC has been best characterized with EGFR-mutant NSCLC, with emerging case reports seen in ALK, RET, and KRAS-altered NSCLC. Previous reports revealed transformed SCLC from EGFR-mutant NSCLC portends very poor prognosis and lack effective treatment. Genomic analyses revealed TP53 and RB1 loss of function increase the risk of SCLC transformation. Little has been reported on the detailed clinicogenomic characteristics and potential therapeutic targets for this patient population. Methods In this study, we conducted a single-center retrospective analysis of clinical and genomic characteristics of patients with EGFR-mutant NSCLC transformed to SCLC. Demographic data, treatment course, and clinical molecular testing reports were extracted from electronic medical records. Kaplan-Meier analyses were used to estimate survival outcomes. Next generation sequencing-based assays was used to identify EGFR and co-occurring genetic alterations in tissue or plasma before and after SCLC transformation. Single-cell RNA sequencing (scRNA-seq) was performed on a patient-derived-xenograft model generated from a patient with EGFR-NSCLC transformed SCLC tumor. Results A total of 34 patients were identified in our study. Median age at initial diagnosis was 58, and median time to SCLC transformation was 24.2 months. 68% were female and 82% were never smokers. 79% of patients were diagnosed as stage IV disease, and over half had brain metastases at baseline. Median overall survival of the entire cohort was 38.3 months from initial diagnoses and 12.4 months from time of SCLC transformation. Most patients harbored EGFR exon19 deletions as opposed to exon21 L858R alteration. Continuing EGFR tyrosine kinase inhibitor post-transformation did not improve overall survival compared with those patients where tyrosine kinase inhibitor was stopped in our cohort. In the 20 paired pretransformed and post-transformed patient samples, statistically significant enrichment was seen with PIK3CA alterations (p = 0.04) post-transformation. Profiling of longitudinal liquid biopsy samples suggest emergence of SCLC genetic alterations before biopsy-proven SCLC, as shown by increasing variant allele frequency of TP53, RB1, PIK3CA alterations. ScRNA-seq revealed potential therapeutic targets including DLL3, CD276 (B7-H3) and PTK7 were widely expressed in transformed SCLC. Conclusions SCLC transformation is a potential treatment resistance mechanism in driver-mutant NSCLC. In our cohort of 34 EGFR-mutant NSCLC, poor prognosis was observed after SCLC transformation. Clinicogenomic analyses of paired and longitudinal samples identified genomic alterations emerging post-transformation and scRNA-seq reveal potential therapeutic targets in this population. Further studies are needed to rigorously validate biomarkers and therapeutic targets for this patient population.
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Affiliation(s)
- Bingnan Zhang
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Whitney Lewis
- Division of Pharmacy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - C. Allison Stewart
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Benjamin B. Morris
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Luisa M. Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alejandra Serrano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yuanxin Xi
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qi Wang
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elyse R. Lopez
- Department of Internal Medicine, Baylor College of Medicine, Houston, Texas
| | - Kyle Concannon
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Simon Heeke
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ximing Tang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gabriela Raso
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Robert J. Cardnell
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Natalie Vokes
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - George Blumenschein
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yasir Elamin
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Frank Fosella
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anne Tsao
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ferdinandos Skoulidis
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Celyne Bueno Hume
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Koji Sasak
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeff Lewis
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Waree Rinsurongkawong
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vadeerat Rinsurongkawong
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jack Lee
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hai Tran
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Don Gibbons
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ara Vaporciyan
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jing Wang
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Keunchil Park
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V. Heymach
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lauren A. Byers
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carl M. Gay
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xiuning Le
- Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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7
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Wang H, Yang C, Wang J, Xi Y, Qi J, Hu J, Bai L, Li L, Mustafa A, Liu H. Genome-wide association analysis of neck ring traits in NongHua ma male ducks. Br Poult Sci 2023; 64:670-677. [PMID: 37610317 DOI: 10.1080/00071668.2023.2249840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/24/2023]
Abstract
1. Male NongHua ma ducks have more colourful feathers than females, especially considering that the former have a distinctive neck ring that is different from that of females. This ring development might be influenced by sex selection, the environment, genetics and other elements.2. Genome-wide association analysis (GWAS) was used to locate candidate genes that affect the neck ring formation of male ducks to investigate the genetic basis of this phenomenon.3. In this study, the neck ring area and width of 180 male ducks were assessed at ages 80, 90, 100, 110 and 120 d. GWAS was used to identify associated genes. There were 0, 7, 14, 48 and 21 possible candidate genes annotated around the 0, 12, 25, 76 and 40 SNP loci n corresponding regions. A total of 13 candidate genes were identified around 21 SNP sites at the neck ring width of 120 d.4. These significant genes were annotated and GO and KEGG enrichment analyses were performed. All SNPs that exceeded the significance threshold were annotated and preliminarily screened as candidate genes affecting neck ring formation. From analysis of gene function and enriched KEGG pathways, genes such as THSD1, SLC6A4, DGAT2, PRKDC, B3GAT2, ROR1, GRK7, EXTL3, TXNDC12, COL4A2, PRKG1, ACTR3, were considered important candidate marker sites related to the neck ring. This provided a reference starting point for the genetic mechanism underlying duck feather colour.
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Affiliation(s)
- H Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - C Yang
- Sichuan Animal Science Academy, Sichuan Key Laboratory of Animal Genetics and Breeding, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - A Mustafa
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China, Ministry of Education, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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Ye H, Yin BB, Zhang JH, Xi Y, Chen F, Bai YY. Combining the triglyceride-glucose index and glycated hemoglobin A1c to assess the risk of preeclampsia in women with normal glucose tolerance: a cross-sectional study. Eur Rev Med Pharmacol Sci 2023; 27:9279-9295. [PMID: 37843342 DOI: 10.26355/eurrev_202310_33956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
OBJECTIVE This study aimed to explore the relationship between the triglyceride-glucose (TyG) index, glycated hemoglobin A1c (HbA1c), and preeclampsia in pregnant women without gestational diabetes mellitus (GDM). PATIENTS AND METHODS This retrospective study included pregnancies with normal oral glucose tolerance tests (OGTTs) from March 2018 to February 2019. During the second trimester, serum lipids, fasting plasma glucose (FPG), and HbA1c were measured, and OGTTs were performed. Participants were classified into four groups based on their TyG index and HbA1c levels. Logistic regression analysis was done to determine the odds ratios (ORs), and receiver operating characteristic (ROC) curve analysis was used to evaluate the ability of the TyG index and HbA1c to predict the risks of preeclampsia. RESULTS Patients with preeclampsia exhibited higher TyG index and HbA1c levels (all p < 0.001). The incidence of preeclampsia increased with elevated TyG index and HbA1c levels individually. Furthermore, the highest incidence of preeclampsia was observed when both the TyG index and HbA1c levels were elevated. ROC curve analysis revealed that the combined TyG index and HbA1c displayed an area under the curve (AUC) of 0.689 in predicting the risk of preeclampsia. Even after adjusting for potential confounding factors, the risk of developing preeclampsia remained significantly higher. These associations were especially prominent in women aged ≥ 35 years or those with a normal BMI. CONCLUSIONS The findings of this study indicate that increased TyG index and HbA1c levels are associated with a higher incidence and risk of preeclampsia in women with normal glucose tolerance during pregnancy. The TyG index and HbA1c levels may serve as potential markers for preeclampsia in individuals with normal OGTT results.
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Affiliation(s)
- H Ye
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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Zhu LY, Li Q, Yu LY, Liu Y, Chen YN, Wang Z, Zhang SY, Li J, Liu Y, Zhao YL, Xi Y, Pi L, Sun YH. [Anticoagulation status and adherence in patients with atrial fibrillation hospitalized for ACS and the impact on 1-year prognosis: a multicenter cohort study]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:731-741. [PMID: 37460427 DOI: 10.3760/cma.j.cn112148-20230314-00138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Objective: For patients with atrial fibrillation (AF) complicated with acute coronary syndrome (ACS), both anticoagulant and antiplatelet therapy should be applied, but the use of anticoagulation therapy is still poor in these patients in China. The purpose of this study was to explore the status and adherence of antithrombotic therapy in AF patients with ACS and the impact on 1 year clinical outcomes. Methods: Patients with AF hospitalized for ACS were retrospectively included from 6 tertiary hospitals in China between July 2015 and December 2020. According to the use of anticoagulant drugs at discharge, patients were divided into two groups: anticoagulant treatment group and non-anticoagulant treatment group. Logistic regression model was used to analyze the main factors influencing the use of anticoagulant drugs in patients with atrial fibrillation complicated with ACS. Major adverse cardiac events (MACEs) were defined as all-cause death, non-fatal myocardial infarction or coronary revascularization, and ischemic stroke and Bleeding Academic Research Consortium (BARC) 3 bleeding events were also collected at 1 year after discharge. After propensity score matching, Cox proportional hazards models and Kaplan-Meier analysis were used to evaluate the effect of anticoagulant treatment and non-anticoagulant treatment on 1-year prognosis. The patients were divided into different groups according to whether anticoagulation was performed at discharge and follow-up, and the sensitivity of the results was analyzed. Results: A total of 664 patients were enrolled, and 273 (41.1%) were treated with anticoagulant therapy, of whom 84 (30.8%) received triple antithrombotic therapy, 91 (33.3%) received double antithrombotic therapy (single antiplatelet combined with anticoagulant), and 98 (35.9%) received single anticoagulant therapy. Three hundred and ninety-one (58.9%) patients were treated with antiplatelet therapy, including 253 (64.7%) with dual antiplatelet therapy and 138 (35.3%) with single antiplatelet therapy. After 1∶1 propensity score matching between the anticoagulant group and the non-anticoagulant group, a total of 218 pairs were matched. Multivariate logistic regression analysis showed that history of diabetes, HAS-BLED score≥3, and percutaneous coronary intervention were predictors of the absence of anticoagulant therapy, while history of ischemic stroke and persistent atrial fibrillation were predictors of anticoagulant therapy. At 1-year follow-up, 218 patients (79.9%) in the anticoagulant group continued to receive anticoagulant therapy, and 333 patients (85.2%) in the antiplatelet group continued to receive antiplatelet therapy. At 1-year follow-up, 36 MACEs events (13.2%) occurred in the anticoagulant group, and 81 MACEs events (20.7%) in the non-anticoagulant group. HR values and confidence intervals were calculated by Cox proportional risk model. Patients in the non-anticoagulant group faced a higher risk of MACEs (HR=1.802, 95%CI 1.112-2.921, P=0.017), and the risk of bleeding events was similar between the two group (HR=0.825,95%CI 0.397-1.715, P=0.607). Conclusions: History of diabetes, HAS-BLED score≥3, and percutaneous coronary intervention are independent factors for the absence of anticoagulant therapy in patients with AF complicated with ACS. The incidence of MACEs, death and myocardial infarction is lower in the anticoagulant group, and the incidence of bleeding events is similar between the two groups. The risk of bleeding and ischemia/thrombosis should be dynamically assessed during follow-up and antithrombotic regiments should be adjusted accordingly.
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Affiliation(s)
- L Y Zhu
- Peking University Health Science Center, China-Japan Friendship Hospital, Beijing 100029, China
| | - Q Li
- Peking University Health Science Center, China-Japan Friendship Hospital, Beijing 100029, China
| | - L Y Yu
- Peking University Health Science Center, China-Japan Friendship Hospital, Beijing 100029, China
| | - Y Liu
- Peking University Health Science Center, China-Japan Friendship Hospital, Beijing 100029, China
| | - Y N Chen
- Peking University Health Science Center, China-Japan Friendship Hospital, Beijing 100029, China
| | - Z Wang
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100029, China
| | - S Y Zhang
- Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - J Li
- Department of Cardiology, Capital Medical University, Xuanwu Hospital, Beijing 100053, China
| | - Y Liu
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Y L Zhao
- Department of Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450014, China
| | - Y Xi
- Department of Hypertension, Peking University People's Hospital, Beijing 100044, China
| | - L Pi
- Department of Cardiology, Chui Yang Liu Hospital Affiliated to Tsinghua University, Beijing 100021, China
| | - Y H Sun
- Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
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Xi Y, Negrao MV, Akagi K, Xiao W, Jiang B, Warner SC, Dunn JD, Wang J, Symer DE, Gillison ML. Noninvasive genomic profiling of somatic mutations in oral cavity cancers. Oral Oncol 2023; 140:106372. [PMID: 37004423 PMCID: PMC10367182 DOI: 10.1016/j.oraloncology.2023.106372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/13/2023] [Accepted: 03/21/2023] [Indexed: 04/03/2023]
Abstract
OBJECTIVES Somatic mutations may predict prognosis, therapeutic response, or cancer progression. We evaluated targeted sequencing of oral rinse samples (ORS) for non-invasive mutational profiling of oral squamous cell carcinomas (OSCC). MATERIALS AND METHODS A custom hybrid capture panel targeting 42 frequently mutated genes in OSCC was used to identify DNA sequence variants in matched ORS and fresh-frozen tumors from 120 newly-diagnosed patients. Receiver operating characteristic (ROC) curves determined the optimal variant allele fraction (VAF) cutoff for variant discrimination in ORS. Behavioral, clinical, and analytical factors were evaluated for impacts on assay performance. RESULTS Half of tumors involved oral tongue (50 %), and a majority were T1-T2 tumor stage (55 %). Median depth of sequencing coverage was 260X for OSCC and 1,563X for ORS. Frequencies of single nucleotide variants (SNVs) at highly mutated genes (including TP53, FAT1, HRAS, NOTCH1, CDKN2A, CASP8, NFE2L2, and PIK3CA) in OSCC were highly correlated with TCGA data (R = 0.96, p = 2.5E-22). An ROC curve with area-under-the-curve (AUC) of 0.80 showed that, at an optimal VAF cutoff of 0.10 %, ORS provided 76 % sensitivity, 96 % specificity, but precision of only 2.6E-4. At this VAF cutoff, 206 of 270 SNVs in OSCC were detected in matched ORS. Sensitivity varied by patient, T stage and target gene. Neither downsampled ORS as matched control nor a naïve Bayesian classifier adjusting for sequencing bias appreciably improved assay performance. CONCLUSION Targeted sequencing of ORS provides moderate assay performance for noninvasive detection of SNVs in OSCC. Our findings strongly rationalize further clinical and laboratory optimization of this assay, including strategies to improve precision.
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Affiliation(s)
- Yuanxin Xi
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Marcelo V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Keiko Akagi
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Weihong Xiao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Bo Jiang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Sarah C Warner
- Genomics Shared Resource, The Ohio State University, Columbus, OH, United States
| | - Joe Dan Dunn
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jing Wang
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - David E Symer
- Department of Lymphoma & Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
| | - Maura L Gillison
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
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Ramkumar K, Stewart CA, Tanimoto A, Wang Q, Xi Y, Morris BB, Wang R, Shen L, Cardnell RJ, Wang J, Gay CM, Byers LA. Abstract 6206: Combined inhibition of AXL and ATR enhances replication stress, cell death and immune response in small cell lung cancer. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-6206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Small cell lung cancer (SCLC) is an aggressive neuroendocrine lung tumor. Despite high initial responses to frontline chemo-immunotherapy, therapeutic resistance develops rapidly. There are limited treatment options in the relapsed setting, where the prognosis remains dismal. SCLC tumors experience continuous and high levels of replication stress (RS) due to ubiquitous loss of key cell cycle checkpoints, RB1 and TP53. Frequent amplification and high expression of the transcription factor cMYC further contribute to increased RS. Thus, high levels of RS expose a potential SCLC vulnerability and provide a therapeutic opportunity. Our group and others have shown that AXL, a TAM family receptor tyrosine kinase that is highly expressed in mesenchymal tumors, mediates resistance to chemotherapy, radiation and targeted therapies in SCLC, non-small cell lung cancer and other cancers, through its role in driving epithelial to mesenchymal transition (EMT). More recently, a novel role for AXL in DNA damage repair and tolerance has emerged. Therefore, we hypothesize that AXL targeting may be a potential therapeutic approach in SCLC. We first investigated the transcriptomic expression profile of AXL in SCLC clinical cohorts. AXL-high tumors were seen in a subset of treatment-naïve SCLC tumors, frequently among, but not limited to, the inflamed SCLC subtype. AXL expression was also seen in many relapsed SCLC tumors. As expected, tumors with high AXL expression also expressed several mesenchymal genes and higher EMT scores. Interestingly, among the treatment-naïve SCLC tumors, AXL expression was inversely correlated with a RS signature (rho=-0.54, p<0.001). Next, we tested the effects of AXL inhibition in SCLC in vitro and in vivo models. In a panel of 30 SCLC cell lines, bemcentinib, a selective AXL inhibitor in clinical trials for various advanced solid tumors, exhibited a range of antiproliferative activity, with IC50 values ranging from 41 nM to 10 µM (median IC50 3.1 µM). Bemcentinib also significantly delayed tumor growth in in vivo SCLC models. Biomarkers associated with sensitivity to bemcentinib in SCLC cell lines included markers of RS (cMYC, replication stress score) and DNA damage response (phospho CHK1S345, phospho CHK2T68). Bemcentinib also induced RS, indicated by the activation of ATR/CHK1-mediated RS response pathway, and DNA damage, and the combination with an ATR inhibitor (ceralasertib) showed a greater than additive effect. In a syngeneic model of SCLC, the combination of bemcentinib, ceralasertib and an anti-PDL1 antibody induced significant tumor regression. Together, these promising findings demonstrate that AXL inhibition may be an effective strategy to target the RS vulnerability common in SCLC.
Citation Format: Kavya Ramkumar, C. Allison Stewart, Azusa Tanimoto, Qi Wang, Yuanxin Xi, Benjamin B. Morris, Runsheng Wang, Li Shen, Robert J. Cardnell, Jing Wang, Carl M. Gay, Lauren A. Byers. Combined inhibition of AXL and ATR enhances replication stress, cell death and immune response in small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6206.
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Affiliation(s)
| | | | | | - Qi Wang
- 1UT MD Anderson Cancer Center, Houston, TX
| | - Yuanxin Xi
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Li Shen
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | - Jing Wang
- 1UT MD Anderson Cancer Center, Houston, TX
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Stewart CA, Diao L, Xi Y, Wang R, Ramkumar K, Rodriguez BL, Morris BB, Shen L, Zhang B, Yang Y, Tanimoto A, Novegil VY, Soto LMS, da Rocha PFS, Vokes N, Gibbons DL, Frumovitz M, Fujimoto J, Wang J, Glisson B, Byers LA, Gay CM. Abstract 4525: YAP1 in relapsed pulmonary high-grade neuroendocrine carcinomas (NEC) is associated with CDKN2A loss, intact RB1, EMT and therapeutic vulnerability to MEK1 and CDK4/6 inhibition. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-4525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Neuroendocrine carcinomas (NECs) are clinically aggressive carcinomas commonly arising from the respiratory and gastrointestinal tracts, typically categorized as large-cell neuroendocrine carcinomas (LCNECs) or small cell carcinomas (most commonly small cell lung cancer (SCLC)). Clinically, pulmonary LCNECs (pLCNECs) mirror the course common to SCLC - initial response followed by rapid and insurmountable resistance to one-size-fits-all approaches. Recently, SCLC has been subdivided into four subtypes with unique vulnerabilities, three of which are defined by the transcription factors ASCL1, NEUROD1, and POU2F3, while a fourth group exhibits an inflamed signature. We hypothesize that pLCNEC may be similarly classified into molecularly distinct subsets with unique therapeutic vulnerabilities - a fundamental step toward personalized medicine. We applied our SCLC 1300 gene signature to pLCNEC patient tumors and, as in SCLC, found three distinct subtypes determined by differential expression of ASCL1, NEUROD1, and POU2F3, but with a unique fourth subtype marked by expression of the transcription factor YAP1. Unlike in treatment-naïve SCLC, where YAP1 is absent, YAP1 expression clearly defines pLCNEC as two, roughly equal subsets with the YAP1-low tumors encompassing tumors expressing the other three transcription factors. Conversely, YAP1-high pLCNEC is more mesenchymal and inflamed, and less neuroendocrine (NE), reminiscent of inflamed SCLC. Additionally, YAP1-high status is associated with smoking exposure (P<0.001, FC=81), high frequency of CDKN2A homozygous deletion and SMARCA4 mutations, as well as intact RB1. These features are distinct from SCLC, wherein transcriptional subtypes lack distinct genomic characteristics. Consistent with CDKN2A deletion, YAP1-high pLCNEC cell lines have increased sensitivity to MEK1 and CDK4/6 inhibition. We also demonstrate that RB1 loss downregulates YAP1 expression, which may account for the absence of YAP1 in treatment-naïve SCLC due to ubiquitous loss of RB1. In contrast to treatment-naïve SCLC, where our group and others have been unable to detect YAP1, single-cell RNAseq analysis of biopsies from patients with relapsed SCLC identified emerging YAP1-positive cancer cell populations, which are similarly associated with increased EMT, immune cell infiltration (CD8+ T-cells), and loss of NE gene expression. This suggests that the ability for cancer cells to acquire YAP1 expression and, perhaps, pLCNEC-like features, may be a resistance mechanism in relapsed SCLC, contributing to the abundant intratumoral heterogeneity and highlighting potential vulnerabilities to overcome resistance. In summary, YAP1 may be a predictive biomarker of intact RB1 and response to cellular and checkpoint immunotherapy and MEK1/CDK4/6 inhibition in pLCNEC and relapsed SCLC.
Citation Format: C. Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, B. Leticia Rodriguez, Benjamin B. Morris, Li Shen, Bingnan Zhang, Yan Yang, Azusa Tanimoto, Veronica Y. Novegil, Luisa M. Solis Soto, Pedro F. Simoes da Rocha, Natalie Vokes, Don L. Gibbons, Michael Frumovitz, Junya Fujimoto, Jing Wang, Bonnie Glisson, Lauren A. Byers, Carl M. Gay. YAP1 in relapsed pulmonary high-grade neuroendocrine carcinomas (NEC) is associated with CDKN2A loss, intact RB1, EMT and therapeutic vulnerability to MEK1 and CDK4/6 inhibition. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4525.
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Affiliation(s)
| | - Lixia Diao
- 1UT MD Anderson Cancer Center, Houston, TX
| | - Yuanxin Xi
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | - Li Shen
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | - Yan Yang
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | - Jing Wang
- 1UT MD Anderson Cancer Center, Houston, TX
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Kotagiri S, Blazanin N, Xi Y, Wang J, Lissanu Y. Abstract 1138: Novel SMARCA2 degrading bifunctional molecules as therapeutics in SMARCA4 mutant lung cancer. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-1138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Lung cancer is the top cause of cancer mortality. Despite recent advances, the majority of patients with lung cancer still lack effective therapeutic options, underscoring the dire need for additional treatment approaches. Genomic studies have identified frequent mutations in subunits of the SWI/SNF chromatin remodeling complex including SMARCA4 and ARID1A in non-small cell lung cancer with a frequency of up to 33% in advanced stage disease, making it the most frequently mutated complex in lung cancer. Recent reports, and our own data, have identified the paralogue SMARCA2 to be synthetic lethal to SMARCA4 suggesting SMARCA2 is a valuable therapeutic target. However, the discovery of selective inhibitors of SMARCA2 has been challenging. To overcome this hurdle, we have utilized iterative structure-activity relationship (SAR) studies to develop novel, potent and selective SMARCA2 degrading small molecules based on proteolysis targeting chimera (PROTAC) technology. We demonstrated that YD23, our lead SMARCA2 PROTAC, potently and selectively induces degradation of SMARCA2. Using global proteomic analysis and quantification of more than 8000 proteins, we showed that our SMARCA2 PROTAC is highly selective for SMARCA2. Importantly, we showed that YD23 selectively inhibits growth of SMARCA4 mutant lung cancer cells in vitro. Mechanistically, we demonstrated that YD23 reduces chromatin accessibility only in SMARCA4 deficient cells. In particular, YD23 profoundly decreased chromatin accessibility at enhancers of a number of genes including cell cycle and cell growth regulatory genes. Gene expression profiling and pathway analysis indicated that various cell cycle genes were downregulated by YD23 consistent with the reduced chromatin accessibility at their regulatory regions. In conclusion, our study provides a potent chemical probe for studying the synthetic lethal interaction between SMARCA2 and SMARCA4, dissect the chromatin and epigenetic landscape alterations and lay the foundation for future preclinical and clinical development of SMARCA2 degraders as therapeutics.
Citation Format: Sasi Kotagiri, Nicholas Blazanin, Yuanxin Xi, Jing Wang, Yonathan Lissanu. Novel SMARCA2 degrading bifunctional molecules as therapeutics in SMARCA4 mutant lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1138.
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Affiliation(s)
| | | | - Yuanxin Xi
- 1UT MD Anderson Cancer Center, Houston, TX
| | - Jing Wang
- 1UT MD Anderson Cancer Center, Houston, TX
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Chen X, He J, Shen H, Xi Y, Chen B, He X, Gao J, Yu H, Shen W. 97P Aumolertinib as adjuvant therapy in postoperative EGFR-mutated stage I–III non-small cell lung cancer with high-risk pathological factors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00352-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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Cascone T, Leung CH, Weissferdt A, Pataer A, Carter BW, Godoy MCB, Feldman H, William WN, Xi Y, Basu S, Sun JJ, Yadav SS, Rojas Alvarez FR, Lee Y, Mishra AK, Chen L, Pradhan M, Guo H, Sinjab A, Zhou N, Negrao MV, Le X, Gay CM, Tsao AS, Byers LA, Altan M, Glisson BS, Fossella FV, Elamin YY, Blumenschein G, Zhang J, Skoulidis F, Wu J, Mehran RJ, Rice DC, Walsh GL, Hofstetter WL, Rajaram R, Antonoff MB, Fujimoto J, Solis LM, Parra ER, Haymaker C, Wistuba II, Swisher SG, Vaporciyan AA, Lin HY, Wang J, Gibbons DL, Jack Lee J, Ajami NJ, Wargo JA, Allison JP, Sharma P, Kadara H, Heymach JV, Sepesi B. Neoadjuvant chemotherapy plus nivolumab with or without ipilimumab in operable non-small cell lung cancer: the phase 2 platform NEOSTAR trial. Nat Med 2023; 29:593-604. [PMID: 36928818 PMCID: PMC10033402 DOI: 10.1038/s41591-022-02189-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 12/15/2022] [Indexed: 03/18/2023]
Abstract
Neoadjuvant ipilimumab + nivolumab (Ipi+Nivo) and nivolumab + chemotherapy (Nivo+CT) induce greater pathologic response rates than CT alone in patients with operable non-small cell lung cancer (NSCLC). The impact of adding ipilimumab to neoadjuvant Nivo+CT is unknown. Here we report the results and correlates of two arms of the phase 2 platform NEOSTAR trial testing neoadjuvant Nivo+CT and Ipi+Nivo+CT with major pathologic response (MPR) as the primary endpoint. MPR rates were 32.1% (7/22, 80% confidence interval (CI) 18.7-43.1%) in the Nivo+CT arm and 50% (11/22, 80% CI 34.6-61.1%) in the Ipi+Nivo+CT arm; the primary endpoint was met in both arms. In patients without known tumor EGFR/ALK alterations, MPR rates were 41.2% (7/17) and 62.5% (10/16) in the Nivo+CT and Ipi+Nivo+CT groups, respectively. No new safety signals were observed in either arm. Single-cell sequencing and multi-platform immune profiling (exploratory endpoints) underscored immune cell populations and phenotypes, including effector memory CD8+ T, B and myeloid cells and markers of tertiary lymphoid structures, that were preferentially increased in the Ipi+Nivo+CT cohort. Baseline fecal microbiota in patients with MPR were enriched with beneficial taxa, such as Akkermansia, and displayed reduced abundance of pro-inflammatory and pathogenic microbes. Neoadjuvant Ipi+Nivo+CT enhances pathologic responses and warrants further study in operable NSCLC. (ClinicalTrials.gov registration: NCT03158129 .).
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Affiliation(s)
- Tina Cascone
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Cheuk H Leung
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Annikka Weissferdt
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Apar Pataer
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brett W Carter
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Myrna C B Godoy
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hope Feldman
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William N William
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Hospital BP, a Beneficencia Portuguesa de Sao Paulo, Sao Paulo, Brazil
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sreyashi Basu
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Jing Sun
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shalini S Yadav
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Frank R Rojas Alvarez
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Younghee Lee
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aditya K Mishra
- Platform for Innovative Microbiome and Translational Research (PRIME-TR), Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lili Chen
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Monika Pradhan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Haiping Guo
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicolas Zhou
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiuning Le
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carl M Gay
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anne S Tsao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lauren Averett Byers
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mehmet Altan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bonnie S Glisson
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Frank V Fossella
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yasir Y Elamin
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - George Blumenschein
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ferdinandos Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jia Wu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Reza J Mehran
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David C Rice
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Garrett L Walsh
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wayne L Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ravi Rajaram
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mara B Antonoff
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cara Haymaker
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen G Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ara A Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Heather Y Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nadim J Ajami
- Platform for Innovative Microbiome and Translational Research (PRIME-TR), Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer A Wargo
- Platform for Innovative Microbiome and Translational Research (PRIME-TR), Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James P Allison
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Padmanee Sharma
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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16
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Guirguis M, Alnablsi M, Xi Y, Quadri R, Bayona Molano M, Benjamin J, Pillai A, Rice S. Abstract No. 226 Evaluating Intra-Procedural Cytological Touch Preparation in Percutaneous Lung Biopsy. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2023] Open
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17
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Bai YY, Xi Y, Yin BB, Zhang JH, Chen F, Zhu B. Reference intervals of systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and platelet-to-lymphocyte ratio during normal pregnancy in China. Eur Rev Med Pharmacol Sci 2023; 27:1033-1044. [PMID: 36808350 DOI: 10.26355/eurrev_202302_31199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
OBJECTIVE To observe the changes in systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) during normal pregnancy and establish appropriate reference intervals (RIs) for healthy pregnant women. PATIENTS AND METHODS This retrospective study was conducted from March 2018 to February 2019. Blood samples were collected from healthy pregnant and nonpregnant women. The complete blood count (CBC) parameters were measured, and SII, NLR, LMR, and PLR were calculated. RIs were established using the 2.5th and 97.5th percentile of the distribution. Besides, the differences in CBC parameters between three pregnant trimesters and maternal ages were also compared to assess their influences on each indicator. RESULTS SII and NLR in three pregnant trimesters increased in pregnant women, and the upper limit of SII and NLR in trimester 2 showed the highest value. On the contrary, LMR decreased in all three pregnant trimesters compared with nonpregnant women, and the values of LMR and PLR showed a gradual downward trend along with the trimesters. Besides, RIs of SII, NLR, LMR, and PLR during different trimesters in different age partitions showed that the values of SII, NLR, and PLR increased with age in a general trend, while LMR showed the opposite trend (p < 0.05). CONCLUSIONS The SII, NLR, LMR, and PLR showed dynamic changes during pregnant trimesters. RIs of SII, NLR, LMR, and PLR for healthy pregnant women according to pregnant trimesters and maternal age were established and validated in this study, which will promote the standardization of clinical application.
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Affiliation(s)
- Y-Y Bai
- Department of Clinical Laboratory, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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18
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Gouda MA, Duose DY, Lapin M, Zalles S, Huang HJ, Xi Y, Zheng X, Aldesoky AI, Alhanafy AM, Shehata MA, Wang J, Kopetz S, Meric-Bernstam F, Wistuba II, Luthra R, Janku F. Mutation-Agnostic Detection of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures. Oncologist 2022; 28:368-372. [PMID: 36200910 PMCID: PMC10078907 DOI: 10.1093/oncolo/oyac204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/29/2022] [Indexed: 11/12/2022] Open
Abstract
Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal donors (P = .005). The assay detected ctDNA in 85% of patients with colorectal cancer at a specificity of 92%. Notably, we were able to detect methylated ctDNA in 75% of patients in whom ctDNA was not detected by other methods. Detection of methylated ctDNA was associated with shorter median progression-free survival compared to non-detection (8 weeks versus 54 weeks; P = .027).
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Affiliation(s)
- Mohamed A Gouda
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.,Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA.,Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt
| | - Dzifa Y Duose
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Morten Lapin
- Department of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway
| | - Stephanie Zalles
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Helen J Huang
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Xiaofeng Zheng
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Amira I Aldesoky
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt
| | - Alshimaa M Alhanafy
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt
| | - Mohamed A Shehata
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Rajyalakshmi Luthra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Filip Janku
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA
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19
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Heeke S, Gay C, Estecio M, Stewart A, Tran H, Zhang B, Tang X, Raso M, Concannon K, De Sousa LG, Lewis W, Kondo K, Nilsson M, Xi Y, Diao L, Wang Q, Zhang J, Wang J, Wistuba I, Byers L, Heymach J. MA01.03 Exploiting DNA Methylation for Classification of SCLC Subtypes from Liquid Biopsies Using a Robust Machine Learning Approach. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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20
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Lyu Y, Guan Y, Deliu L, Humphrey E, Frontera JK, Yang YJ, Zamler D, Kim KH, Mohanty V, Jin K, Mohanty V, Liu V, Dou J, Veillon LJ, Kumar SV, Lorenzi PL, Chen Y, McAndrews KM, Grivennikov S, Song X, Zhang J, Xi Y, Wang J, Chen K, Nagarajan P, Ge Y. KLF5 governs sphingolipid metabolism and barrier function of the skin. Genes Dev 2022; 36:gad.349662.122. [PMID: 36008138 PMCID: PMC9480852 DOI: 10.1101/gad.349662.122] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/15/2022] [Indexed: 01/03/2023]
Abstract
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. KLF5 binds to and transcriptionally regulates genes encoding rate-limiting sphingolipid metabolism enzymes. Remarkably, skin barrier defects elicited by KLF5 ablation can be rescued by dietary interventions. Finally, we found that KLF5 is widely suppressed in human diseases with disrupted epidermal secretion, and its regulation of sphingolipid metabolism is conserved in human skin. Altogether, we established KLF5 as a disease-relevant transcription factor governing sphingolipid metabolism and barrier function in the skin, likely representing a long-sought secretory lineage-defining factor across tissue types.
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Affiliation(s)
- Ying Lyu
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Yinglu Guan
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Lisa Deliu
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Ericka Humphrey
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Joanna K Frontera
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Youn Joo Yang
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Daniel Zamler
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Kun Hee Kim
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Vakul Mohanty
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Kevin Jin
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
- Rice University, Houston, Texas 77005, USA
| | - Vakul Mohanty
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
- Rice University, Houston, Texas 77005, USA
| | - Virginia Liu
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
- Rice University, Houston, Texas 77005, USA
| | - Jinzhuang Dou
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Lucas J Veillon
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Shwetha V Kumar
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Philip L Lorenzi
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Yang Chen
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Kathleen M McAndrews
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Sergei Grivennikov
- Department of Medicine, Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
- Department of Biomedical Sciences, Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Priyadharsini Nagarajan
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Yejing Ge
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
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21
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Heeke S, Gay CM, Estecio MR, Stewart A, Tran H, Zhang B, Tang X, Raso G, Concannon K, De Sousa LG, Lewis WE, Nilsson M, Xi Y, Diao L, Wang Q, Zhang J, Wang J, Wistuba II, Byers LA, Heymach JV. Abstract 3473: Use of DNA methylation from tumor and plasma to identify four major small cell lung cancer subtypes with distinct biology and therapeutic vulnerabilities. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Small cell lung cancer (SCLC) is a highly aggressive cancer with limited treatment options and generally poor prognosis. Treatment of SCLC has not considerably changed over the last decades with therapeutic options focusing on unselected populations. Although in the past SCLC was thought to be a relatively homogenous malignancy, recent reports from our group and others identified four major distinct subgroups of SCLC, each with different therapeutic vulnerabilities. Three of the subtypes are defined by the expression of a specific transcription factor, ASCL1 (SCLC-A), NEUROD1 (SCLC-N) and POU2F3 (SCLC-P) while the fourth subtype is defined by an inflamed phenotype (SCLC-I). While our initial subtyping of SCLC is based on a gene expression signature comprised of ~1300 genes, which makes routine implementation challenging, we hypothesized that DNA methylation as a proxy to gene expression might be a more suitable approach for biomarker development in SCLC. We assembled a cohort of 105 SCLC formalin-fixed paraffin embedded (FFPE) samples (82/105 Stage > IIIb) and performed matched RNA-Sequencing (RNAseq) and methylation profiling using reduced-representation bisulfite sequencing (RRBS). To validate our findings and expand our analysis across different sample types, we profiled a panel of 59 fully characterized SCLC cell lines as well as 68 patient-derived xenograft models. We found that methylation levels differ markedly between the four subtypes, with the SCLC-N presenting with a hypermethylated phenotype and the SCLC-P with a hypomethylated phenotype across the genome, highlighting the profound differences in the underlying epigenetic regulation among the SCLC subtypes and supporting DNA methylation analysis as a potential readout for identifying SCLC subtypes. Furthermore, in order to subtype the clinical SCLC samples, we developed a predictive model using an extreme gradient boost model using RNA expression and DNA methylation, respectively, to allow the classification with 94.5% accuracy in the tissue testing cohort. Using a cohort of matched plasma samples, we further demonstrated that the DNA methylation differences were indeed preserved in cell-free DNA (cfDNA) allowing subtype classification with an accuracy of 87.5%. These data indicate that DNA methylation can be used for reliable subtyping of SCLC in tissue and in liquid biopsy samples. In summary, using a large cohort of predominantly extensive stage SCLC clinical samples, we were able to identify profound differences in DNA methylation that can be exploited as a novel biomarker for the classification of SCLC into four distinct subtypes with both tissue biopsy and non-invasive using plasma. Considering the previously shown therapeutic vulnerabilities of the four subtypes, these findings will enable the rapid initiation of personalized clinical trials in SCLC.
Citation Format: Simon Heeke, Carl M. Gay, Marcos R. Estecio, Allison Stewart, Hai Tran, Bingnan Zhang, Ximing Tang, Gabriela Raso, Kyle Concannon, Luana Guimaraes De Sousa, Whitney E. Lewis, Monique Nilsson, Yuanxin Xi, Lixia Diao, Qi Wang, Jianjun Zhang, Jing Wang, Ignacio I. Wistuba, Lauren A. Byers, John V. Heymach. Use of DNA methylation from tumor and plasma to identify four major small cell lung cancer subtypes with distinct biology and therapeutic vulnerabilities [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3473.
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Affiliation(s)
| | | | | | | | - Hai Tran
- 1MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | | | - Qi Wang
- 1MD Anderson Cancer Center, Houston, TX
| | | | - Jing Wang
- 1MD Anderson Cancer Center, Houston, TX
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22
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Gouda MA, Duose DY, Lapin M, Zalles S, Huang HJ, Xi Y, Zheng X, Aldesoky AI, Alhanafy AM, Shehata MA, Wang J, Kopetz S, Meric-Bernstam F, Wistuba II, Luthra R, Janku F. Abstract 5152: Mutation-agnostic detection of colorectal cancer-specific cell-free DNA using targeted methylation sequencing. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-5152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
BACKGROUND: Tumor-specific methylation changes in DNA CpG sites commonly occur in cancer and are believed to drive oncogenesis through gene silencing. Detection of methylation changes in circulating cell-free DNA (cfDNA) can offer a novel approach for cancer diagnostics.
METHODS: Plasma samples from healthy controls and from patients with advanced colorectal and non-colorectal cancers were included in the study. Bisulfite conversion of cfDNA extracted from plasma was performed using EZ DNA Methylation Lightning Kit (Zymo Research) and was followed by library preparation using Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences) and target enrichment using xGen Hybridization Capture for NGS Kit (IDT). Targeted methylation sequencing was done using NextSeq500 mid-output flow cell (300 cycles) (Illumina). Detection rates of methylation ratios in colorectal cancer samples were compared to non-colorectal cancers and healthy controls.
RESULTS: First, we reviewed methylation changes in nearly 9,000 CpG sites in colorectal cancer (through TCGA database) and healthy controls. Subsequently, 32 CpG sites with greater than 50% methylation ratio in colorectal cancer and less than 1% methylation ratio in healthy controls were selected to develop targeted methylation sequencing based cfDNA assay. The assay was performed in 32 plasma samples from 20 individuals with advanced colorectal cancer who had tumor KRAS mutation, 8 individuals with advanced non-colorectal cancer who had tumor KRAS mutation (ovarian, n=2; endometrial, n=2; pancreatic, n=2; and lung cancer, n=2), and 4 healthy controls. Colorectal cancer specific methylation changes in cfDNA were detected in 85% (17/20) of colorectal cancer patients with a specificity of 92%. In colorectal cancer patients with confirmed KRAS mutation in cfDNA, methylation changes were detected in 92% (11/12) in comparison to 75% (6/8) in colorectal cancer patients without KRAS mutation in cfDNA. Median methylation ratio for target CpG sites was higher in colorectal cancer patients compared to patients with non-colorectal cancers and healthy controls (p<0.001). In 17 colorectal cancer patients with plasma samples collected before initiation of systemic cancer therapy, detection of methylation changes in cfDNA was associated with a shorter median progression-free survival compared to no detection (PFS; 8 weeks versus 54 weeks; p=0.027).
CONCLUSIONS: Targeted methylation sequencing of cfDNA demonstrated high sensitivity and specificity for detection of colorectal cancer-specific cfDNA. Colorectal cancer patients with methylated cfDNA had shorter PFS while on cancer therapy.
Citation Format: Mohamed A. Gouda, Dzifa Y. Duose, Morten Lapin, Stephanie Zalles, Helen J. Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I. Aldesoky, Alshimaa M. Alhanafy, Mohamed A. Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I. Wistuba, Rajyalakshmi Luthra, Filip Janku. Mutation-agnostic detection of colorectal cancer-specific cell-free DNA using targeted methylation sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5152.
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Affiliation(s)
| | - Dzifa Y. Duose
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Morten Lapin
- 2Stavanger University Hospital, Stavanger, Norway
| | | | - Helen J. Huang
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yuanxin Xi
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xiaofeng Zheng
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Jing Wang
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Scott Kopetz
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Filip Janku
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
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Stewart CA, Xi Y, Wang R, Frumovitz MM, Wang J, Byers LA, Gay CM. Abstract 1598: Defining the transcriptional complexity of persister cell populations in relapsed small cell lung cancer patient biopsies. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-1598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Small cell lung cancer (SCLC) is an aggressive malignancy characterized by robust, however transient, responses to frontline platinum-based therapy that are rapidly followed by refractory relapses. Treatment resistance is a significant concern in SCLC and a major factor regulating resistance is an emergence of unique cellular populations and an increase in intratumoral heterogeneity (ITH). We hypothesize that these emerging populations expressing various resistance-associated pathways, represent multiple, unique drug-resistant persister cell populations that underlie increased ITH and promote therapeutic resistance and, eventually, relapse, despite the initial response to therapy. Persister cells represent a unique population of cancer cells that are resistant to therapeutic pressure. While most persister cells remain arrested under treatment, a rare sub-population exists that can reverse state and re-enter the cell cycle. We performed single cell RNAseq of relapsed, extensive stage SCLC patient paired core biopsies collected 1) following relapse to standard of care (SOC) platinum chemotherapy plus immune checkpoint blockade (ICB) and 2) after six weeks of further therapy. Unlike what we found in platinum-sensitive disease, there is not a meaningful change in ITH score between cancer cells in the first and second biopsy. Presumably, maximum heterogeneity developed along with relapse to SOC treatment. Biopsies represent SCLC across subtypes (SCLC-A/N/P/I) with a modest loss of transcription factor expression following treatment (e.g., 76.8% to 57.9% NEUROD1). Cancer cells were classified as cycling or non-cycling to identify potential persister cell populations in paired patient core biopsies. Molecular subtype marker ASCL1 was reduced in non-cycling cells, but there was no change in NEUROD1 or POU2F3. Cycling cells demonstrate increased expression of NE genes (SYP, INSM1, UCHL1), biomarkers of response (SLFN11 and CDH1), but also genes associated with resistance (EZH2, NFIB). Non-cycling cells exhibit some common resistance mechanisms (e.g., EMT and MYC, AXL, ZFP36L1, and REST overexpression) and increased expression of inflammatory genes (e.g. HLA family) compared to cycling cells, reminiscent of the SCLC-Inflamed (SCLC-I) subtype. These data suggest that non-cycling persister cells may be more sensitive to ICB, AXL and/or AURK inhibition, while cycling cells may be more responsive to platinum chemotherapy, epigenetic modifiers or DNA repair targeted therapies. Clinically, these data underscore the importance of maximizing and maintaining the initial response in platinum-sensitive SCLC tumors, while highlighting the transcriptional complexity underlying SCLC’s profound treatment resistance following SOC and address the major need to develop combination therapies to target these distinct cell populations.
Citation Format: C. Allison Stewart, Yuanxin Xi, Runsheng Wang, Michael M. Frumovitz, Jing Wang, Lauren A. Byers, Carl M. Gay. Defining the transcriptional complexity of persister cell populations in relapsed small cell lung cancer patient biopsies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1598.
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Affiliation(s)
| | - Yuanxin Xi
- 1University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - Runsheng Wang
- 1University of Texas M.D. Anderson Cancer Center, Houston, TX
| | | | - Jing Wang
- 1University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - Lauren A. Byers
- 1University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - Carl M. Gay
- 1University of Texas M.D. Anderson Cancer Center, Houston, TX
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Le X, Wang R, Vokes N, Elamin Y, Kalhor N, McGrail D, Xi Y, III ST, Hong L, Du R, Blumenschein G, Gay C, Negrao M, Altan M, Tran H, Hu L, Wang J, Heeke S, Nilsson M, Robichaux J, Dang M, Han G, Byers L, Tsao A, Sepesi B, Bernatchez C, Zhang J, Wang L, Heymach J. Abstract 3260: Enhanced lineage plasticity in RTK-independent TKI-resistant EGFR-mutant NSCLC. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Resistance to targeted tyrosine kinase inhibitors (TKI) inevitably develops in metastatic EGFR-mutant non-small cell lung cancer (NSCLC). Resistance mechanisms are diverse, and mechanisms beyond receptor tyrosine kinase (RTK) pathway mutations are poorly understood. We hypothesized that the use of osimertinib as first-line therapy is increasing the prevalence of RTK-independent resistance mechanisms, and that RTK-independent resistant tumors undergo enhanced tumor cell lineage plasticity as an escape mechanism to EGFR TKI therapy.
Methods: We identified patients who developed osimertinib resistance (OR) after first line (1L, n=54) and second line (2L, n=42) treatments and determined the resistance mechanisms based on clinical sequencing and histopathology. We also performed single-cell RNA-seq of 24 samples from 13 patients with EGFRm NSCLC at TKI treatment-naïve (TN, n=2), residual disease (RD, n=4), and progression disease (PD, n=7) stages.
Results: Compared to 2L OR tumors, 1L OR tumors had increased RTK-independent mechanisms of resistance (76% vs. 46%, p=0.002), including 8% with small cell transformation (n=4), 2% with squamous transformation (n=1) and 66% with unknown mechanisms (n=34). To understand inter- and intra-tumor heterogeneity, we analyzed transcriptomic profiles of 76,266 single cells. Lung developmental lineages were assigned to 10,250 EpCAM+ cells, including 4,735 cells classified as malignant cells by inferCNV and RTK signaling analysis. In the two EGFRm TN tumors, the malignant cells demonstrated bronchoalveolar lineage and moderate EGFR expression. In the TKI resistant cases (PD, n=7), both RTK-dependent and RTK-independent resistance were observed. The RTK-dependent tumors (EGFR T790M n=1; ERBB2 amplification n=1) demonstrated preserved bronchoalveolar lineage identity. In the RTK-independent resistant tumors (n=5), one had complete lineage switch from epithelial to small cell neuroendocrine and very low expression level of EGFR. The remaining 4 PD tumors displayed varying expression of epithelial-to-mesenchymal transformation (EMT) features. One tumor had sarcomatoid histology and a high proportion of cells having positive VIM expression (84%) and 92% of cells having complete loss of NAPSA expression; 3 tumors had partial EMT demonstrated by heterogeneous proportion of cells having VIM expression (18-56%) and loss of NAPSA (26-67%). Interestingly, some of the cells with EMT and partial-EMT had moderate levels of EGFR expression, similar to the levels in the TN tumors.
Conclusion: With osimertinib use at 1L, the incidence of RTK-independent resistance has increased to become the dominant mechanism, whereas RTK-dependent resistance has decreased. Increased lineage plasticity (small cell neuroendocrine, squamous and EMT) potentially serves as an RTK-independent TKI-resistance mechanism in EGFRm NSCLC.
Citation Format: Xiuning Le, Ruiping Wang, Natalie Vokes, Yasir Elamin, Neda Kalhor, Daniel McGrail, Yuanxin Xi, Santiago Treviño III, Lingzhi Hong, Robyn Du, George Blumenschein, Carl Gay, Marcelo Negrao, Mehmet Altan, Hai Tran, Limei Hu, Jing Wang, Simon Heeke, Monique Nilsson, Jacqulyne Robichaux, Minghao Dang, Guangchun Han, Lauren Byers, Anne Tsao, Boris Sepesi, Chantale Bernatchez, Jianjun Zhang, Linghua Wang, John Heymach. Enhanced lineage plasticity in RTK-independent TKI-resistant EGFR-mutant NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3260.
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Affiliation(s)
- Xiuning Le
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | - Yuanxin Xi
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Robyn Du
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | - Carl Gay
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Hai Tran
- 1UT MD Anderson Cancer Center, Houston, TX
| | - Limei Hu
- 1UT MD Anderson Cancer Center, Houston, TX
| | - Jing Wang
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | - Anne Tsao
- 1UT MD Anderson Cancer Center, Houston, TX
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O’Malley K, Khan F, Kalva S, Alnablsi M, Xi Y, Pillai A, Vongpatanasin W, Kathuria M. Abstract No. 399 Utility of unilateral adrenal vein sampling in primary hyperaldosteronism: a single center experience. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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26
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Lu Z, Mao W, Yang H, Santiago-O'Farrill JM, Rask PJ, Mondal J, Chen H, Ivan C, Liu X, Liu CG, Xi Y, Masuda K, Carrami EM, Chen M, Tang Y, Pang L, Lakomy DS, Calin GA, Liang H, Ahmed AA, Vankayalapati H, Bast RC. SIK2 inhibition enhances PARP inhibitor activity synergistically in ovarian and triple-negative breast cancers. J Clin Invest 2022; 132:146471. [PMID: 35642638 PMCID: PMC9151707 DOI: 10.1172/jci146471] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 04/19/2022] [Indexed: 12/21/2022] Open
Abstract
Poly(ADP-ribose) polymerase inhibitors (PARP inhibitors) have had an increasing role in the treatment of ovarian and breast cancers. PARP inhibitors are selectively active in cells with homologous recombination DNA repair deficiency caused by mutations in BRCA1/2 and other DNA repair pathway genes. Cancers with homologous recombination DNA repair proficiency respond poorly to PARP inhibitors. Cancers that initially respond to PARP inhibitors eventually develop drug resistance. We have identified salt-inducible kinase 2 (SIK2) inhibitors, ARN3236 and ARN3261, which decreased DNA double-strand break (DSB) repair functions and produced synthetic lethality with multiple PARP inhibitors in both homologous recombination DNA repair deficiency and proficiency cancer cells. SIK2 is required for centrosome splitting and PI3K activation and regulates cancer cell proliferation, metastasis, and sensitivity to chemotherapy. Here, we showed that SIK2 inhibitors sensitized ovarian and triple-negative breast cancer (TNBC) cells and xenografts to PARP inhibitors. SIK2 inhibitors decreased PARP enzyme activity and phosphorylation of class-IIa histone deacetylases (HDAC4/5/7). Furthermore, SIK2 inhibitors abolished class-IIa HDAC4/5/7-associated transcriptional activity of myocyte enhancer factor-2D (MEF2D), decreasing MEF2D binding to regulatory regions with high chromatin accessibility in FANCD2, EXO1, and XRCC4 genes, resulting in repression of their functions in the DNA DSB repair pathway. The combination of PARP inhibitors and SIK2 inhibitors provides a therapeutic strategy to enhance PARP inhibitor sensitivity for ovarian cancer and TNBC.
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Affiliation(s)
- Zhen Lu
- Department of Experimental Therapeutics
| | | | | | | | | | | | - Hu Chen
- Department of Bioinformatics & Computational Biology, and
| | - Cristina Ivan
- Department of Experimental Therapeutics.,Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | | | - Yuanxin Xi
- Department of Bioinformatics & Computational Biology, and
| | - Kenta Masuda
- The University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA.,Ovarian Cancer Cell Laboratory, Weatherall Institute of Molecular Medicine, University of Oxford, Headington, Oxford, United Kingdom
| | - Eli M Carrami
- The University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA.,Ovarian Cancer Cell Laboratory, Weatherall Institute of Molecular Medicine, University of Oxford, Headington, Oxford, United Kingdom
| | - Meng Chen
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yitao Tang
- Department of Bioinformatics & Computational Biology, and.,The University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Lan Pang
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - George A Calin
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Han Liang
- Department of Bioinformatics & Computational Biology, and.,Department of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ahmed A Ahmed
- Ovarian Cancer Cell Laboratory, Weatherall Institute of Molecular Medicine, University of Oxford, Headington, Oxford, United Kingdom.,Nuffield Department of Women's & Reproductive Health, University of Oxford, Women's Centre, John Radcliffe Hospital, Oxford, United Kingdom.,Oxford NIHR Biomedical Research Centre, Oxford, United Kingdom
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Xi Y, Zhang ML, He C, Cheng GP, Jin JY, Fang XH, Zhu T, Su D. [Primary ovarian squamous cell carcinoma: clinicopathological features and prognostic analysis of fifteen cases]. Zhonghua Bing Li Xue Za Zhi 2022; 51:332-337. [PMID: 35359045 DOI: 10.3760/cma.j.cn112151-20210719-00516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To assess the clinical features and treatment outcomes in patients with primary ovarian squamous cell carcinoma (POSCC). Methods: Fifteen patients with primary ovarian squamous cell carcinoma diagnosed from January 2009 to December 2018 in Cancer Hospital of the University of Chinese Academy of Sciences were collected. The expression of p16, hMLH1, hMSH2, hMSH6 and PMS2 in POSCC was detected by immunohistochemistry, and the status of high-risk human papillomavirus (HPV) by RNAscope test. Results: Squamous cell carcinoma with different degrees of differentiation was found in 15 cases, including three cases with high differentiation and 12 cases with medium to low differentiation. There were four cases with in situ squamous cell carcinoma, four cases with teratoma, one case with endometrial carcinoma/atypical hyperplasia, and one case with endometriosis. p16 was expressed in five cases (5/15), indicating coexisting high-risk HPV infection. There was no high-risk HPV infection in the remaining 10 cases, and p16 staining was negative. There was no deficient mismatch repair protein in all cases. The overall survival time (P=0.038) and progression free survival (P=0.045) of patients with high-risk HPV infection were longer than those without HPV infection. Conclusions: POSCC is more commonly noted in postmenopausal women and often occurs unilaterally. Elevated serological indexes CA125 and SCC are the most common finding. Morphologically, the tumors show variable degrees of differentiation, but the current data suggest that the degree of differentiation cannot be used as an independent prognostic index. High-risk HPV infection may be associated with the occurrence of POSCC, and that the prognosis of POSCC patients with HPV infection is better than that of patients without infection.
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Affiliation(s)
- Y Xi
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - M L Zhang
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - C He
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - G P Cheng
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - J Y Jin
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - X H Fang
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - T Zhu
- Department of Gynecology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - D Su
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
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28
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Dai MN, Xi Y, Yin WW, Chen YJ, Zhang ZJ, Feng CH, Tang C. [Meta analysis on acceptance rate of HIV pre-exposure prophylaxis among men who have sex with men in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:197-202. [PMID: 35184450 DOI: 10.3760/cma.j.cn112150-20210611-00570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To systematically evaluate the acceptance of pre-exposure prophylaxis (PrEP)among men who have sex with men (MSM) in China, so as to provide reference for the promotion of preventive drug use before human immunodeficiency virus exposure in China. Methods: By searching the databases of China national knowledge infrastructure, VIP database, Wanfan knowledge service platform, PubMed, Web of Science, Embase and The Cochrane Library with key words of "men who have sex with men" "pre-exposure prophylaxis" "PrEP" and "MSM". The literature on the willingness of Chinese MSM population to accept PrEP was systematically collected, and the data of the literature meeting the inclusion criteria were extracted for Meta analysis. Results: A total of 12 articles were selected in this study, including 6 articles in English and 6 in Chinese. The score of bias risk assessment of eligible articles was 14-18, which was more than 70% of the total score. The total number of samples was 11 269. The overall acceptance rate of PrEP was 0.77(95%CI:0.71-0.82). In subgroup analysis, the acceptance rates of different nationalities, marriage, household registration, age, education background, income, sexual orientation, sexual behavior and awareness of PrEP were statistically significant. Conclusion: In general, the acceptance rate of PrEP in MSM population is higher, but the awareness rate is low. There are differences in the acceptance rate among different groups.
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Affiliation(s)
- M N Dai
- School of Public Health, Weifang Medical University, Weifang 261053, China Healthy Shandong" Collaborative Innovation Center for Health Related Serious Social Risk Prediction and Governance, Weifang 261053,China
| | - Y Xi
- Health Commission of Shandong Province , Jinan 250014, China
| | - W W Yin
- Healthy Shandong" Collaborative Innovation Center for Health Related Serious Social Risk Prediction and Governance, Weifang 261053,China School of Management, Weifang Medical University, Weifang 261053, China
| | - Y J Chen
- Healthy Shandong" Collaborative Innovation Center for Health Related Serious Social Risk Prediction and Governance, Weifang 261053,China School of Management, Weifang Medical University, Weifang 261053, China
| | - Z J Zhang
- Healthy Shandong" Collaborative Innovation Center for Health Related Serious Social Risk Prediction and Governance, Weifang 261053,China School of Management, Weifang Medical University, Weifang 261053, China
| | - C H Feng
- School of Public Health, Weifang Medical University, Weifang 261053, China Healthy Shandong" Collaborative Innovation Center for Health Related Serious Social Risk Prediction and Governance, Weifang 261053,China
| | - Changhai Tang
- School of Public Health, Weifang Medical University, Weifang 261053, China Healthy Shandong" Collaborative Innovation Center for Health Related Serious Social Risk Prediction and Governance, Weifang 261053,China
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Xi Y, Qiu B, Li Y, Xie X, Liu F, Wu L, Liang T, Li L, Feng Y, Guo J, Wang D, Chu C, Zeng Y, Yang L, Zhang J, Wang J, Chen M, Xue L, Ding Y, Wu Q, Liu H. Diagnostic Signatures for Lung Cancer by Gut Microbiome and Urine Metabolomics Profiling. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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30
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Stewart CA, Gay CM, Ramkumar K, Cargill KR, Cardnell RJ, Nilsson MB, Heeke S, Park EM, Kundu ST, Diao L, Wang Q, Shen L, Xi Y, Zhang B, Della Corte CM, Fan Y, Kundu K, Gao B, Avila K, Pickering CR, Johnson FM, Zhang J, Kadara H, Minna JD, Gibbons DL, Wang J, Heymach JV, Byers LA. Lung Cancer Models Reveal Severe Acute Respiratory Syndrome Coronavirus 2-Induced Epithelial-to-Mesenchymal Transition Contributes to Coronavirus Disease 2019 Pathophysiology. J Thorac Oncol 2021; 16:1821-1839. [PMID: 34274504 PMCID: PMC8282443 DOI: 10.1016/j.jtho.2021.07.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 06/02/2021] [Accepted: 07/02/2021] [Indexed: 01/08/2023]
Abstract
INTRODUCTION Coronavirus disease 2019 is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which enters host cells through the cell surface proteins ACE2 and TMPRSS2. METHODS Using a variety of normal and malignant models and tissues from the aerodigestive and respiratory tracts, we investigated the expression and regulation of ACE2 and TMPRSS2. RESULTS We find that ACE2 expression is restricted to a select population of epithelial cells. Notably, infection with SARS-CoV-2 in cancer cell lines, bronchial organoids, and patient nasal epithelium induces metabolic and transcriptional changes consistent with epithelial-to-mesenchymal transition (EMT), including up-regulation of ZEB1 and AXL, resulting in an increased EMT score. In addition, a transcriptional loss of genes associated with tight junction function occurs with SARS-CoV-2 infection. The SARS-CoV-2 receptor, ACE2, is repressed by EMT through the transforming growth factor-β, ZEB1 overexpression, and onset of EGFR tyrosine kinase inhibitor resistance. This suggests a novel model of SARS-CoV-2 pathogenesis in which infected cells shift toward an increasingly mesenchymal state, associated with a loss of tight junction components with acute respiratory distress syndrome-protective effects. AXL inhibition and ZEB1 reduction, as with bemcentinib, offer a potential strategy to reverse this effect. CONCLUSIONS These observations highlight the use of aerodigestive and, especially, lung cancer model systems in exploring the pathogenesis of SARS-CoV-2 and other respiratory viruses and offer important insights into the potential mechanisms underlying the morbidity and mortality of coronavirus disease 2019 in healthy patients and patients with cancer alike.
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Affiliation(s)
- C Allison Stewart
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kavya Ramkumar
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kasey R Cargill
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Robert J Cardnell
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Monique B Nilsson
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Simon Heeke
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elizabeth M Park
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Samrat T Kundu
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Li Shen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bingnan Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carminia Maria Della Corte
- Oncology Division, Department of Precision Medicine, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Youhong Fan
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kiran Kundu
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Boning Gao
- Department of Internal Medicine and Pharmacology, Hamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kimberley Avila
- Department of Internal Medicine and Pharmacology, Hamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Curtis R Pickering
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Faye M Johnson
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John D Minna
- Department of Internal Medicine and Pharmacology, Hamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Don L Gibbons
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lauren Averett Byers
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Pu F, Xiong X, Li Y, Xi Y, Ma S, Bai L, Zhang R, Liu H, Yang C. Transcriptome analysis of oviduct in laying ducks under different stocking densities. Br Poult Sci 2021; 63:283-290. [PMID: 34550018 DOI: 10.1080/00071668.2021.1983917] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
1. High stocking densities can lead to animal stress responses and lead to changes in bird behaviour, egg production and the fertility of laying birds. The oviduct plays a crucial role during the process of laying eggs. Therefore, it is essential to know how high stocking density affects oviduct function.2. In this study, a total of 2,115 differentially expressed genes (DEGs) were identified in duck oviduct tissues between different stocking density groups. These genes are mainly enriched in membrane components, calcium ion binding, cytokine-cytokine receptor interaction and focal adhesion. These pathways were closely related to the formation of eggs. This indicated that secretion and material transport functions of the oviduct are affected under high-density stocking. Further analysis showed that a total of 408 genes related to the transportation process were expressed in the oviduct, of which 96 genes were differentially expressed (LogFC≥1, P < 0.05). Forty-two of these DEGs belonged to the solute carrier family. The data showed that the expression of 31 transcripts was different between the two density groups. Expression of KCNJ15, SLC26A8, and TRPM5 was only seen in the high-density group (8/m2), while ATP13A3 and KCNIP2 were only expressed in the low-density group (4/m2).3. Consequently, high stocking density may affect the expression and splicing of genes related to molecular transport in the oviduct.
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Affiliation(s)
- F Pu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - X Xiong
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Y Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - Y Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - S Ma
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - L Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - R Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
| | - C Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
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Clarke RL, Isaacson B, Kutz JW, Xi Y, Booth TN. MRI Evaluation of the Normal and Abnormal Endolymphatic Duct in the Pediatric Population: A Comparison with High-Resolution CT. AJNR Am J Neuroradiol 2021; 42:1865-1869. [PMID: 34446455 DOI: 10.3174/ajnr.a7224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 05/02/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE An enlarged vestibular aqueduct is the most commonly reported imaging abnormality in children with sensorineural hearing loss. MR imaging is often used to evaluate pediatric sensorineural hearing loss; however, there are no well-established size criteria on MR imaging to diagnose an enlarged endolymphatic duct. The first purpose of the study was to determine a range of normal endolymphatic duct sizes on MR imaging and compare it with that in high-resolution CT. The second purpose was to assess the sensitivity and specificity of MR imaging in diagnosing an enlarged endolymphatic duct in patients with an enlarged vestibular aqueduct on CT. MATERIALS AND METHODS Endolymphatic duct midaperture measurements were analyzed in 52 patients with no history of sensorineural hearing loss. Comparison of CT and MR imaging was made in a second cohort of 41 patients with a normal midaperture width on CT. The sensitivity and specificity of MR imaging were then evaluated in a third cohort of 24 patients with a documented enlarged vestibular aqueduct on CT. RESULTS In 94 ears, normal endolymphatic duct midaperture measurements ranged from 0 to 0.9 mm on MR imaging. A significant correlation (P <.001) and moderate agreement were found between CT and MR imaging in 81 ears with a normal vestibular aqueduct on CT. Twenty-four patients had bilateral (n = 14) or unilateral (n = 10) enlarged vestibular aqueducts on CT, and the sensitivity and specificity of MR imaging were 97% and 100%, respectively, for a diagnosis of an enlarged endolymphatic duct. CONCLUSIONS MR imaging measurements of the normal endolymphatic duct are similar to those established for CT. MR imaging is a useful tool for the diagnosis of enlarged vestibular aqueduct.
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Affiliation(s)
- R L Clarke
- From the Department of Radiology (R.L.C., Y.X., T.N.B.), Children's Health of Texas/University of Texas Southwestern Medical Center, Dallas, Texas
| | - B Isaacson
- Department of Otolaryngology (B.I., J.W.K., T.N.B.), Children's Health of Texas/University of Texas Southwestern Medical Center, Dallas, Texas
| | - J W Kutz
- Department of Otolaryngology (B.I., J.W.K., T.N.B.), Children's Health of Texas/University of Texas Southwestern Medical Center, Dallas, Texas
| | - Y Xi
- From the Department of Radiology (R.L.C., Y.X., T.N.B.), Children's Health of Texas/University of Texas Southwestern Medical Center, Dallas, Texas
| | - T N Booth
- From the Department of Radiology (R.L.C., Y.X., T.N.B.), Children's Health of Texas/University of Texas Southwestern Medical Center, Dallas, Texas .,Department of Otolaryngology (B.I., J.W.K., T.N.B.), Children's Health of Texas/University of Texas Southwestern Medical Center, Dallas, Texas
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Gay CM, Stewart CA, Diao L, Nabet BY, Fujimoto J, Solis LM, Lu W, Xi Y, Cardnell RJ, Vokes NI, Ramkumar K, Swisher SG, Roth JA, Glisson BS, Shames DS, Wistuba II, Wang J, Minna J, Heymach JV, Byers LA. Abstract 22: A novel, inflamed small cell lung cancer transcriptional subtype, SCLC-I, defines a subset of patients with distinct immunotherapy vulnerability. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy with dismal survival outcomes and no established predictive biomarkers. The landmark randomized, phase III IMpower133 trial established the new frontline standard of care for extensive-stage SCLC (ES-SCLC) as etoposide/platinum (EP) plus immune checkpoint blockade (ICB) [anti-PD-L1; atezolizumab (atezo)] based on an overall survival (OS) benefit compared to EP plus placebo. However, this survival benefit is limited in unselected populations, emphasizing the need for predictive biomarkers. Preclinically, there is emerging evidence of transcriptional heterogeneity among SCLC tumors, but the impact on therapeutic benefit remains undefined. Using non-negative matrix factorization (NMF) analysis of gene expression data from 81 SCLC tumors samples, we previously identified four subtypes, including three defined largely by differential expression of the transcription factors ASCL1 (SCLC-A), NEUROD1 (SCLC-N), and POU2F3 (SCLC-P), and a novel, fourth subtype with low expression of all three transcription factor signatures.
Method and Results
Using transcriptional and proteomic data from patient tumors and tumor-derived models, we molecularly characterized each of the four identified subtypes. The previously undescribed fourth subtype, dubbed SCLC-Inflamed (SCLC-I) showed high expression of non-neuroendocrine transcription factors (e.g. REST) and markers of EMT. Most distinctly, relative to the “cold” immune microenvironment typical of SCLC tumors, SCLC-I tumors possess markedly higher expression of interferon-γ signatures and immune checkpoints, including CD274 (PD-L1). Furthermore, cell type deconvolution using CIBERSORTx identified significantly higher infiltration into SCLC-I tumors by multiple immune cell types including T-cells, NK cells, macrophages, and dendritic cells. We predicted SCLC-I might derive disproportionate benefit from ICB due to its inflamed features. To test this, we applied our NMF-derived gene signature to 276 treatment-naïve, ES-SCLC patient tumors from the IMpower133 trial to assign patient subtype. The distribution of subtypes was as follows: SCLC-A 51%, SCLC-N 23%, SCLC-I 18% and SCLC-P 7%. While there was a trend toward OS benefit with the addition of atezo in each subtype, the benefit was numerically greater in SCLC-I. Specifically, median OS (atezo vs placebo arm) in months (mo) was 18.2 mo vs 10.4 mo for SCLC-I tumors, while median OS for the other three subtypes ranged from 9.6-10.9 mo (atezo arm) and 6.0-10.6 mo (placebo arm).
Conclusion
Unbiased transcriptional analyses identify four subtypes with distinct tumor and immune features. While all subtypes experienced improved OS with addition of anti-PD-L1 to frontline EP, SCLC-I patients appear to experience the most durable benefit.
Citation Format: Carl M. Gay, C. Allison Stewart, Lixia Diao, Barzin Y. Nabet, Junya Fujimoto, Luisa M. Solis, Wei Lu, Yuanxin Xi, Robert J. Cardnell, Natalie I. Vokes, Kavya Ramkumar, Stephen G. Swisher, Jack A. Roth, Bonnie S. Glisson, David S. Shames, Ignacio I. Wistuba, Jing Wang, John Minna, John V. Heymach, Lauren A. Byers. A novel, inflamed small cell lung cancer transcriptional subtype, SCLC-I, defines a subset of patients with distinct immunotherapy vulnerability [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 22.
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Affiliation(s)
- Carl M. Gay
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Lixia Diao
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Junya Fujimoto
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | - Luisa M. Solis
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wei Lu
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yuanxin Xi
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Kavya Ramkumar
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Jack A. Roth
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Jing Wang
- 1University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Minna
- 3University of Texas Southwestern Medical Center, Dallas, TX
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Rocha P, Stewart CA, Parra E, Solis LM, Gay CM, Cardnell RJ, Uraoka N, Francisco-Cruz A, Dejima H, Xi Y, Diao L, Wang J, Negrao MV, Zhang J, Wistuba I, Gibbons DL, Byers LA. Abstract 2758: Multiplex immunofluorescence (mIF) reveals differences in tumor immune microenvironment between molecularly-defined subsets of small cell lung cancer. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-2758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Despite the recent approval of immune checkpoints inhibitors (ICI) as a treatment option in the extensive-stage small cell lung cancer (SCLC) setting, survival has not significantly changed in the last decades. Recent scientific efforts have led to the identification of 4 major subtypes defined by expression of three transcription factors: ASCL1 (SCLC-A), NEUROD1 (SCLC-N), POU2F3 (SCLC-P) with the fourth subtype characterized by increased expression of immune genes (Inflamed subtype - SCLC-I). Transcriptomic results, along with recent immunotherapy trials, suggest that modulation of tumor immune microenvironment (TIME) could potential be critical to achieving clinical responses in a subset of patients, hence a comprehensive study of the TIME in SCLC is imperative. Here we report the feasibility of a multiplex immunofluorescence (mIF) methodology to analyze the TIME in SCLC.
Methods: FFPE sections from surgically resected SCLC (N=4, one representative case across all SCLC subtypes) were identified from the ICON Project at UT MD Anderson Cancer Center. We used mIF to identify and quantify immune markers grouped into two 6-antibody panels: Panel 1: cytokeratin (CK, AE1/AE3), CD3, CD8, PD-1, PD-L1 and CD68; Panel 2: CK, CD20, granzyme B, FOXP3, CD45RO, and CD57. Finally, genomic (WES), transcriptomic (RNA sequencing) and proteomic (RPPA) data from these cases were integrated with the mIF data.
Results: SCLC molecular subtypes (SCLC-A, N, P, I) were classified using transcriptomic and proteomic data. Analysis of TIME unveils a higher immune cell infiltration within SCLC-I subtype compared with the other cases representing, immune “cold” SCLC subtypes. SCLC-I subtype showed a 2-13 folder higher (range) immune cell density than SCLC-A, N and P subtypes (measured as a median of cell density). Specifically, T cells (CD3+) (695 and 242 cells/mm2, for SCLC-I and the median for the other subtypes respectively), T cytotoxic cells (CD3+ CD8+) (206 and 105), activated T cells (CD3+ CD8+ granzyme+) (20 and 2), antigen experienced ‘like' T cells (CD3+ PD-1+) (17 and 0), memory T cells (CD3+ CD45RO+) (328 and 91) and macrophages (CD68+) (773 and 57). PD-L1 expression in malignant cells did not show significant differences within the 4 SCLC subtypes. However, PD-L1 expression in macrophages was significantly higher in the SCLC-I subtype, suggesting an increase of IFN-gamma in the TIME.
Conclusions: TIME study show the use of mIF in SCLC tumors to be feasible, and could potentially provide key information towards the identification of SCLC patients that could benefit from ICI. For the first time we complemented transcriptomic data from SCLC tumors with mIF analysis unveiling the complex interplay of the host immune response and malignant cells. Our preliminary results warrant further studies to explore the role of TIME in immunotherapeutic response in SCLC.
Citation Format: Pedro Rocha, C. Allison Stewart, Edwin Parra, Luisa M. Solis, Carl M. Gay, Robert J. Cardnell, Naohiro Uraoka, Alejandro Francisco-Cruz, Hitoshi Dejima, Yuanxin Xi, Lixia Diao, Jing Wang, Marcelo V. Negrao, Jianjun Zhang, Ignacio Wistuba, Don L. Gibbons, Lauren A. Byers. Multiplex immunofluorescence (mIF) reveals differences in tumor immune microenvironment between molecularly-defined subsets of small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2758.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Jing Wang
- MD Anderson Cancer Center, Houston, TX
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Nilsson MB, Sun H, Robichaux J, Pfeifer M, McDermott U, Travers J, Diao L, Xi Y, Tong P, Shen L, Hofstad M, Kawakami M, Le X, Liu X, Fan Y, Poteete A, Hu L, Negrao MV, Tran H, Dmitrovsky E, Peng D, Gibbons DL, Wang J, Heymach JV. A YAP/FOXM1 axis mediates EMT-associated EGFR inhibitor resistance and increased expression of spindle assembly checkpoint components. Sci Transl Med 2021; 12:12/559/eaaz4589. [PMID: 32878980 DOI: 10.1126/scitranslmed.aaz4589] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 05/05/2020] [Accepted: 07/17/2020] [Indexed: 12/12/2022]
Abstract
Acquired resistance to tyrosine kinase inhibitors (TKIs) of epidermal growth factor receptor (EGFR) remains a clinical challenge. Especially challenging are cases in which resistance emerges through EGFR-independent mechanisms, such as through pathways that promote epithelial-to-mesenchymal transition (EMT). Through an integrated transcriptomic, proteomic, and drug screening approach, we identified activation of the yes-associated protein (YAP) and forkhead box protein M1 (FOXM1) axis as a driver of EMT-associated EGFR TKI resistance. EGFR inhibitor resistance was associated with broad multidrug resistance that extended across multiple chemotherapeutic and targeted agents, consistent with the difficulty of effectively treating resistant disease. EGFR TKI-resistant cells displayed increased abundance of spindle assembly checkpoint (SAC) proteins, including polo-like kinase 1 (PLK1), Aurora kinases, survivin, and kinesin spindle protein (KSP). Moreover, EGFR TKI-resistant cells exhibited vulnerability to SAC inhibitors. Increased activation of the YAP/FOXM1 axis mediated an increase in the abundance of SAC components in resistant cells. The clinical relevance of these finding was indicated by evaluation of specimens from patients with EGFR mutant lung cancer, which showed that high FOXM1 expression correlated with expression of genes encoding SAC proteins and was associated with a worse clinical outcome. These data revealed the YAP/FOXM1 axis as a central regulator of EMT-associated EGFR TKI resistance and that this pathway, along with SAC components, are therapeutic vulnerabilities for targeting this multidrug-resistant phenotype.
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Affiliation(s)
- Monique B Nilsson
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Huiying Sun
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jacqulyne Robichaux
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | | | - Jon Travers
- Oncology R&D, AstraZeneca, Cambridge, CB2 0RE, UK
| | - Lixia Diao
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yuanxin Xi
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pan Tong
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Li Shen
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mia Hofstad
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Masanori Kawakami
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiuning Le
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xi Liu
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Youhong Fan
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alissa Poteete
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Limei Hu
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marcelo V Negrao
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hai Tran
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ethan Dmitrovsky
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - David Peng
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Don L Gibbons
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jing Wang
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John V Heymach
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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Abstract
OBJECTIVE To explore the mechanism of dexmedetomidine (DEX)-mediated miR-134 inhibition in hypoxia-induced damage in PC12 cells. METHODS Hydrogen peroxide (H2O2)-stimulated PC12 cells were divided into control, H2O2, DEX + H2O2, miR-NC/inhibitor + H2O2, and miR-NC/ mimic + DEX + H2O2 groups. Cell viability and apoptosis were assessed by the 3-(4,5-dimethylthiazol(-2-y1)-2,5-diphenytetrazolium bromide (MTT) assay and Annexin V-FITC/PI staining, while gene and protein expression levels were detected by qRT-PCR and western blotting. Reactive oxygen species (ROS) levels were tested by 2',7'-dichlorodihydrofluorescein diacetate (DCFH-DA) staining, and malondialdehyde (MDA) content was determined with a detection kit. RESULTS DEX treatment decreased H2O2-elevated miR-134 expression. H2O2-induced PC12 cell damage was improved by DEX and miR-134 inhibitor; additionally, cell viability was increased, while cell apoptosis was reduced. In addition, both DEX and miR-134 inhibitor reduced the upregulated expression of cleaved caspase-3 and increased the downregulated expression of Bcl-2 in H2O2-induced PC12 cells. However, compared to that in the DEX + H2O2 group, cell viability in the mimic + DEX + H2O2 group was decreased, and the apoptotic rate was elevated with increased cleaved caspase-3 and decreased Bcl-2 expression. Inflammation and oxidative stress were increased in H2O2-induced PC12 cells but improved with DEX or miR-134 inhibitor treatment. However, this improvement of H2O2-induced inflammation and oxidative stress induced by DEX in PC12 cells could be reversed by the miR-134 mimic. CONCLUSION DEX exerts protective effects to promote viability and reduce cell apoptosis, inflammation, and oxidative stress in H2O2-induced PC12 cells by inhibiting the expression of miR-134.
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Affiliation(s)
- Y-J Li
- Department of Anesthesiology, Beijing Jishuitan Hospital, Beijing, China
| | - D-Z Zhang
- Department of Anesthesiology, Beijing Jishuitan Hospital, Beijing, China
| | - Y Xi
- Department of Anesthesiology, Beijing Jishuitan Hospital, Beijing, China
| | - C-A Wu
- Department of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing, China
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Zhu H, Odu A, Franklin A, Yang X, Lamus D, Xi Y, Pillai A. Abstract No. 511 Impact of practicing clinical interventional radiology: nephrostomy tube care in cancer patients, a quality improvement initiative. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Vazquez L, Kolber M, Lamus D, Pillai A, Xi Y. Abstract No. 588 Effect of relative increase in nurse and technologist staff: utilizing lower COVID-19 case volume as a model for examining increased staffing ratio on room turnover efficiency. J Vasc Interv Radiol 2021. [PMCID: PMC8079619 DOI: 10.1016/j.jvir.2021.03.398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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Vazquez L, Xi Y, Lamus D, Pillai A, Kolber M. Abstract No. 562 Process interventions for improving interventional radiology room turnover efficiency: effect of radiology transporters and dedicated clinical nurse coordinator in a tertiary care hospital practice. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Lamster IB, Malloy KP, DiMura PM, Cheng B, Wagner VL, Matson J, Proj A, Xi Y, Abel SN, Alfano MC. Dental Services and Health Outcomes in the New York State Medicaid Program. J Dent Res 2021; 100:928-934. [PMID: 33880960 PMCID: PMC8293758 DOI: 10.1177/00220345211007448] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Previous reports suggest that periodontal treatment is associated with improved health care outcomes and reduced costs. Using data from the New York State Medicaid program, rates of emergency department (ED) use and inpatient admissions (IPs), as well as costs for ED, IPs, pharmacy, and total health care, were studied to determine the association of preventive dental care to health care outcomes. Utilization of dental services in the first 2 y (July 2012-June 2014) was compared to health care outcomes in the final year (July 2014-June 2015). Costs and utilization for members who did not receive dental services (No Dental) were compared to those who received any dental care (Any Dental), any preventive dental care (PDC), PDC without an extraction and/or endodontic treatment (PDC without Ext/Endo), PDC with an Ext/Endo (PDC with Ext/Endo), or Ext/Endo without PDC (Ext/Endo without PDC). Propensity scores were used to adjust for potential confounders. After adjustment, ED rate ratios were significantly lower for PDC and PDC without Ext/Endo but higher for the Any Dental and Ext/Endo without PDC. IP ratios were lower for all treatment groups except Ext/Endo without PDC. ED costs differed little compared to the No Dental group except for Ext/Endo without PDC. For IPs, costs per member were significantly lower for all groups (-$262.91 [95% confidence interval (CI), -325.40 to -200.42] to -$379.82 [95% CI, -451.27 to -308.37]) except for Ext/Endo without PDC. For total health care costs, Ext/Endo without PDC had a significantly greater total health care cost ($530.50 [95% CI, 156.99-904.01]). Each additional PDC visit was associated with a 3% reduction in the relative risk for ED and 9% reduction for IPs. Costs also decreased for total health care (-$235.64 [95% CI, -299.95 to -171.33]) and IP (-$181.39 [95% CI, -208.73 to -154.05]). In conclusion, an association between PDC and improved health care outcomes was observed, with the opposite association for Ext/Endo without PDC.
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Affiliation(s)
- I B Lamster
- School of Dental Medicine, Stony Brook University, Stony Brook, NY, USA.,Columbia University College of Dental Medicine, New York, NY, USA
| | - K P Malloy
- Bureau of Chronic Disease Evaluation and Research, CSP Data Unit, Office of Public Health, New York State Department of Health (NYSDOH), Albany, NY, USA
| | - P M DiMura
- Bureau of Research and Analysis, Division of Performance Improvement and Patient Safety, Office of Quality and Patient Safety, NYSDOH, New York, NY, USA
| | - B Cheng
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - V L Wagner
- Bureau of Research and Analysis, Division of Performance Improvement and Patient Safety, Office of Quality and Patient Safety, NYSDOH, New York, NY, USA
| | - J Matson
- Division of Performance Improvement and Patient Safety, Office of Quality and Patient Safety, NYSDOH, Albany, NY, USA
| | - A Proj
- Bureau of Chronic Disease Evaluation and Research, CSP Data Unit, Office of Public Health, New York State Department of Health (NYSDOH), Albany, NY, USA
| | - Y Xi
- Bureau of Environmental and Occupational Epidemiology, NYSDOH, New York, NY, USA
| | - S N Abel
- Department of Periodontics and Endodontics, School of Dental Medicine, University at Buffalo, Buffalo, NY, USA
| | - M C Alfano
- College of Dentistry, New York University, New York, NY, USA
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Bota-Rabassedas N, Banerjee P, Niu Y, Cao W, Luo J, Xi Y, Tan X, Sheng K, Ahn YH, Lee S, Parra ER, Rodriguez-Canales J, Albritton J, Weiger M, Liu X, Guo HF, Yu J, Rodriguez BL, Firestone JJA, Mino B, Creighton CJ, Solis LM, Villalobos P, Raso MG, Sazer DW, Gibbons DL, Russell WK, Longmore GD, Wistuba II, Wang J, Chapman HA, Miller JS, Zong C, Kurie JM. Contextual cues from cancer cells govern cancer-associated fibroblast heterogeneity. Cell Rep 2021; 35:109009. [PMID: 33882319 PMCID: PMC8142261 DOI: 10.1016/j.celrep.2021.109009] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 01/21/2021] [Accepted: 03/26/2021] [Indexed: 12/13/2022] Open
Abstract
Cancer cells function as primary architects of the tumor microenvironment. However, the molecular features of cancer cells that govern stromal cell phenotypes remain unclear. Here, we show that cancer-associated fibroblast (CAF) heterogeneity is driven by lung adenocarcinoma (LUAD) cells at either end of the epithelial-to-mesenchymal transition (EMT) spectrum. LUAD cells that have high expression of the EMT-activating transcription factor ZEB1 reprogram CAFs through a ZEB1-dependent secretory program and direct CAFs to the tips of invasive projections through a ZEB1-driven CAF repulsion process. The EMT, in turn, sensitizes LUAD cells to pro-metastatic signals from CAFs. Thus, CAFs respond to contextual cues from LUAD cells to promote metastasis. Bota-Rabassedas et al. show that EMT in lung adenocarcinoma cells activates a secretory process that governs CAF heterogeneity and, in turn, sensitizes lung adenocarcinoma cells to pro-metastatic signals from CAFs. Thus, EMT positions lung adenocarcinoma cells at the apex of a signaling hierarchy in the tumor microenvironment.
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Affiliation(s)
- Neus Bota-Rabassedas
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Priyam Banerjee
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yichi Niu
- Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Wenjian Cao
- Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jiayi Luo
- Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Yuanxin Xi
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaochao Tan
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kuanwei Sheng
- Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Young-Ho Ahn
- Department of Molecular Medicine and Inflammation-Cancer Microenvironment Research Center, College of Medicine, Ewha Womans University, Seoul 07804, Korea
| | - Sieun Lee
- Department of Molecular Medicine and Inflammation-Cancer Microenvironment Research Center, College of Medicine, Ewha Womans University, Seoul 07804, Korea
| | - Edwin Roger Parra
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaime Rodriguez-Canales
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jacob Albritton
- Department of Molecular Medicine and Inflammation-Cancer Microenvironment Research Center, College of Medicine, Ewha Womans University, Seoul 07804, Korea
| | - Michael Weiger
- Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Liu
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hou-Fu Guo
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiang Yu
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - B Leticia Rodriguez
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Barbara Mino
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chad J Creighton
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Luisa M Solis
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pamela Villalobos
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maria Gabriela Raso
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel W Sazer
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Don L Gibbons
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William K Russell
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA
| | - Gregory D Longmore
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA; Department of Cell Biology & Physiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ignacio I Wistuba
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Wang
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Harold A Chapman
- Department of Medicine, University of California, San Francisco Cardiovascular Research Institute, San Francisco, CA, USA
| | - Jordan S Miller
- Department of Bioengineering, Rice University, Houston, TX, USA.
| | - Chenghang Zong
- Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Jonathan M Kurie
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Gay CM, Stewart CA, Park EM, Diao L, Groves SM, Heeke S, Nabet BY, Fujimoto J, Solis LM, Lu W, Xi Y, Cardnell RJ, Wang Q, Fabbri G, Cargill KR, Vokes NI, Ramkumar K, Zhang B, Della Corte CM, Robson P, Swisher SG, Roth JA, Glisson BS, Shames DS, Wistuba II, Wang J, Quaranta V, Minna J, Heymach JV, Byers LA. Patterns of transcription factor programs and immune pathway activation define four major subtypes of SCLC with distinct therapeutic vulnerabilities. Cancer Cell 2021; 39:346-360.e7. [PMID: 33482121 PMCID: PMC8143037 DOI: 10.1016/j.ccell.2020.12.014] [Citation(s) in RCA: 396] [Impact Index Per Article: 132.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 10/28/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022]
Abstract
Despite molecular and clinical heterogeneity, small cell lung cancer (SCLC) is treated as a single entity with predictably poor results. Using tumor expression data and non-negative matrix factorization, we identify four SCLC subtypes defined largely by differential expression of transcription factors ASCL1, NEUROD1, and POU2F3 or low expression of all three transcription factor signatures accompanied by an Inflamed gene signature (SCLC-A, N, P, and I, respectively). SCLC-I experiences the greatest benefit from the addition of immunotherapy to chemotherapy, while the other subtypes each have distinct vulnerabilities, including to inhibitors of PARP, Aurora kinases, or BCL-2. Cisplatin treatment of SCLC-A patient-derived xenografts induces intratumoral shifts toward SCLC-I, supporting subtype switching as a mechanism of acquired platinum resistance. We propose that matching baseline tumor subtype to therapy, as well as manipulating subtype switching on therapy, may enhance depth and duration of response for SCLC patients.
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Affiliation(s)
- Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C Allison Stewart
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elizabeth M Park
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sarah M Groves
- Department of Biochemistry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Simon Heeke
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Barzin Y Nabet
- Department of Oncology Biomarker Development, Genentech Inc., South San Francisco CA, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Lu
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert J Cardnell
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Kasey R Cargill
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Natalie I Vokes
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kavya Ramkumar
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bingnan Zhang
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carminia M Della Corte
- Department of Precision Medicine, Oncology Division, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Paul Robson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Stephen G Swisher
- Department of Thoracic and Cardiovascular Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack A Roth
- Department of Thoracic and Cardiovascular Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bonnie S Glisson
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David S Shames
- Department of Oncology Biomarker Development, Genentech Inc., South San Francisco CA, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vito Quaranta
- Department of Biochemistry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John Minna
- Department of Internal Medicine and Simmons Cancer Center, the University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John V Heymach
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lauren Averett Byers
- Department of Thoracic/Head & Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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43
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Ying S, Dai Z, Xi Y, Li M, Yan J, Yu J, Chen Z, Shi Z. Metabolomic evaluation of serum metabolites of geese reared at different stocking densities. Br Poult Sci 2021; 62:304-309. [PMID: 33336589 DOI: 10.1080/00071668.2020.1849556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
1. Stocking density is an issue for poultry production. High stocking density can impact biochemical parameters, production, and reproductive performance; however, information regarding the effects of stocking density on serum metabolites in geese is limited.2. Twenty-day-old, Sanhua male geese (n = 240) were allocated to one of two experimental groups for 50 days. One group was housed under a low stocking density (LSD; two birds per m2) and one under a high stocking density (HSD; five birds per m2). Body weight and feed intake were recorded every 10 d. Eight serum samples per group were used for metabonomic analysis by liquid chromatography-mass spectrometry.3. Stocking density did not affect the spleen, liver, thymus, or bursa of Fabricius weights after 50 d. Feed intake and body weight was significantly lower in geese from the HSD group versus the LSD group (P < 0.05). Thirty-six differential serum metabolites were identified (P < 0.05), indicating altered amino acid, carbohydrate, lipid and vitamin cofactor metabolism.4. The results demonstrated that high-density stocking impacts geese, and provides insights into the mechanisms underlying the adverse health effects associated with HSD.
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Affiliation(s)
- S Ying
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - Z Dai
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - Y Xi
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - M Li
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - J Yan
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - J Yu
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - Z Chen
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
| | - Z Shi
- Institute of Animal Science, Laboratory of Animal Improvement and Reproduction, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China.,Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Ministry of Agriculture, Nanjing, PR China
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44
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Daher M, Basar R, Gokdemir E, Baran N, Uprety N, Nunez Cortes AK, Mendt M, Kerbauy LN, Banerjee PP, Shanley M, Imahashi N, Li L, Lim FLWI, Fathi M, Rezvan A, Mohanty V, Shen Y, Shaim H, Lu J, Ozcan G, Ensley E, Kaplan M, Nandivada V, Bdiwi M, Acharya S, Xi Y, Wan X, Mak D, Liu E, Jiang XR, Ang S, Muniz-Feliciano L, Li Y, Wang J, Kordasti S, Petrov N, Varadarajan N, Marin D, Brunetti L, Skinner RJ, Lyu S, Silva L, Turk R, Schubert MS, Rettig GR, McNeill MS, Kurgan G, Behlke MA, Li H, Fowlkes NW, Chen K, Konopleva M, Champlin RE, Shpall EJ, Rezvani K. Targeting a cytokine checkpoint enhances the fitness of armored cord blood CAR-NK cells. Blood 2021; 137:624-636. [PMID: 32902645 PMCID: PMC7869185 DOI: 10.1182/blood.2020007748] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 08/29/2020] [Indexed: 12/22/2022] Open
Abstract
Immune checkpoint therapy has resulted in remarkable improvements in the outcome for certain cancers. To broaden the clinical impact of checkpoint targeting, we devised a strategy that couples targeting of the cytokine-inducible Src homology 2-containing (CIS) protein, a key negative regulator of interleukin 15 (IL-15) signaling, with fourth-generation "armored" chimeric antigen receptor (CAR) engineering of cord blood-derived natural killer (NK) cells. This combined strategy boosted NK cell effector function through enhancing the Akt/mTORC1 axis and c-MYC signaling, resulting in increased aerobic glycolysis. When tested in a lymphoma mouse model, this combined approach improved NK cell antitumor activity more than either alteration alone, eradicating lymphoma xenografts without signs of any measurable toxicity. We conclude that targeting a cytokine checkpoint further enhances the antitumor activity of IL-15-secreting armored CAR-NK cells by promoting their metabolic fitness and antitumor activity. This combined approach represents a promising milestone in the development of the next generation of NK cells for cancer immunotherapy.
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Affiliation(s)
- May Daher
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Rafet Basar
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Elif Gokdemir
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Natalia Baran
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Nadima Uprety
- Department of Stem Cell Transplantation and Cellular Therapy and
| | | | - Mayela Mendt
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Lucila Nassif Kerbauy
- Department of Stem Cell Transplantation and Cellular Therapy and
- Department of Stem Cell Transplantation and Cellular Therapy, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
- Human Genome and Stem Cell Research Center, Department of Genetics and Evolutionary Biology, Biosciences Institute, University of Sao Paulo, Sao Paulo, Brazil
| | | | - Mayra Shanley
- Department of Stem Cell Transplantation and Cellular Therapy and
| | | | - Li Li
- Department of Stem Cell Transplantation and Cellular Therapy and
| | | | - Mohsen Fathi
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX
| | - Ali Rezvan
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX
| | - Vakul Mohanty
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yifei Shen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hila Shaim
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Junjun Lu
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Gonca Ozcan
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Emily Ensley
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Mecit Kaplan
- Department of Stem Cell Transplantation and Cellular Therapy and
| | | | - Mustafa Bdiwi
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Sunil Acharya
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xinhai Wan
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Duncan Mak
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Enli Liu
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Xin Ru Jiang
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Sonny Ang
- Department of Stem Cell Transplantation and Cellular Therapy and
| | | | - Ye Li
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shahram Kordasti
- System Cancer Immunology, Comprehensive Cancer Centre, King's College London, London, United Kingdom
| | - Nedyalko Petrov
- System Cancer Immunology, Comprehensive Cancer Centre, King's College London, London, United Kingdom
| | - Navin Varadarajan
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX
| | - David Marin
- Department of Stem Cell Transplantation and Cellular Therapy and
| | - Lorenzo Brunetti
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX
| | | | - Shangrong Lyu
- C.T. Bauer College of Business, University of Houston, Houston, TX
| | - Leiser Silva
- C.T. Bauer College of Business, University of Houston, Houston, TX
| | - Rolf Turk
- Integrated DNA Technologies, Coralville, IA
| | | | | | | | | | | | - Heng Li
- Dana-Farber/Harvard Cancer Center, Boston, MA; and
| | - Natalie W Fowlkes
- Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Katayoun Rezvani
- Department of Stem Cell Transplantation and Cellular Therapy and
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45
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Stewart CA, Gay CM, Ramkumar K, Cargill KR, Cardnell RJ, Nilsson MB, Heeke S, Park EM, Kundu ST, Diao L, Wang Q, Shen L, Xi Y, Zhang B, Della Corte CM, Fan Y, Kundu K, Gao B, Avila K, Pickering CR, Johnson FM, Zhang J, Kadara H, Minna JD, Gibbons DL, Wang J, Heymach JV, Byers LA. Lung cancer models reveal SARS-CoV-2-induced EMT contributes to COVID-19 pathophysiology. bioRxiv 2021:2020.05.28.122291. [PMID: 32577652 PMCID: PMC7302206 DOI: 10.1101/2020.05.28.122291] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
COVID-19 is an infectious disease caused by SARS-CoV-2, which enters host cells via the cell surface proteins ACE2 and TMPRSS2. Using a variety of normal and malignant models and tissues from the aerodigestive and respiratory tracts, we investigated the expression and regulation of ACE2 and TMPRSS2. We find that ACE2 expression is restricted to a select population of highly epithelial cells. Notably, infection with SARS-CoV-2 in cancer cell lines, bronchial organoids, and patient nasal epithelium, induces metabolic and transcriptional changes consistent with epithelial to mesenchymal transition (EMT), including upregulation of ZEB1 and AXL, resulting in an increased EMT score. Additionally, a transcriptional loss of genes associated with tight junction function occurs with SARS-CoV-2 infection. The SARS-CoV-2 receptor, ACE2, is repressed by EMT via TGFbeta, ZEB1 overexpression and onset of EGFR TKI inhibitor resistance. This suggests a novel model of SARS-CoV-2 pathogenesis in which infected cells shift toward an increasingly mesenchymal state, associated with a loss of tight junction components with acute respiratory distress syndrome-protective effects. AXL-inhibition and ZEB1-reduction, as with bemcentinib, offers a potential strategy to reverse this effect. These observations highlight the utility of aerodigestive and, especially, lung cancer model systems in exploring the pathogenesis of SARS-CoV-2 and other respiratory viruses, and offer important insights into the potential mechanisms underlying the morbidity and mortality of COVID-19 in healthy patients and cancer patients alike.
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Affiliation(s)
- C Allison Stewart
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kavya Ramkumar
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kasey R Cargill
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert J Cardnell
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Monique B Nilsson
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Simon Heeke
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elizabeth M Park
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Samrat T Kundu
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Li Shen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bingnan Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carminia Maria Della Corte
- Department of Precision Medicine, Oncology Division, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Youhong Fan
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kiran Kundu
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boning Gao
- Department of Internal Medicine and Pharmacology, Hamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kimberley Avila
- Department of Internal Medicine and Pharmacology, Hamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Curtis R Pickering
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Faye M Johnson
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John D Minna
- Department of Internal Medicine and Pharmacology, Hamon Center for Therapeutic Oncology Research, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Don L Gibbons
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lauren Averett Byers
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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46
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Woo XY, Giordano J, Srivastava A, Zhao ZM, Lloyd MW, de Bruijn R, Suh YS, Patidar R, Chen L, Scherer S, Bailey MH, Yang CH, Cortes-Sanchez E, Xi Y, Wang J, Wickramasinghe J, Kossenkov AV, Rebecca VW, Sun H, Mashl RJ, Davies SR, Jeon R, Frech C, Randjelovic J, Rosains J, Galimi F, Bertotti A, Lafferty A, O’Farrell AC, Modave E, Lambrechts D, ter Brugge P, Serra V, Marangoni E, El Botty R, Kim H, Kim JI, Yang HK, Lee C, Dean DA, Davis-Dusenbery B, Evrard YA, Doroshow JH, Welm AL, Welm BE, Lewis MT, Fang B, Roth JA, Meric-Bernstam F, Herlyn M, Davies MA, Ding L, Li S, Govindan R, Isella C, Moscow JA, Trusolino L, Byrne AT, Jonkers J, Bult CJ, Medico E, Chuang JH. Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts. Nat Genet 2021; 53:86-99. [PMID: 33414553 PMCID: PMC7808565 DOI: 10.1038/s41588-020-00750-6] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 11/18/2020] [Indexed: 02/03/2023]
Abstract
Patient-derived xenografts (PDXs) are resected human tumors engrafted into mice for preclinical studies and therapeutic testing. It has been proposed that the mouse host affects tumor evolution during PDX engraftment and propagation, affecting the accuracy of PDX modeling of human cancer. Here, we exhaustively analyze copy number alterations (CNAs) in 1,451 PDX and matched patient tumor (PT) samples from 509 PDX models. CNA inferences based on DNA sequencing and microarray data displayed substantially higher resolution and dynamic range than gene expression-based inferences, and they also showed strong CNA conservation from PTs through late-passage PDXs. CNA recurrence analysis of 130 colorectal and breast PT/PDX-early/PDX-late trios confirmed high-resolution CNA retention. We observed no significant enrichment of cancer-related genes in PDX-specific CNAs across models. Moreover, CNA differences between patient and PDX tumors were comparable to variations in multiregion samples within patients. Our study demonstrates the lack of systematic copy number evolution driven by the PDX mouse host.
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Grants
- NC/T001267/1 National Centre for the Replacement, Refinement and Reduction of Animals in Research
- P30 CA016672 NCI NIH HHS
- 29567 Cancer Research UK
- U54 CA233223 NCI NIH HHS
- P30 CA034196 NCI NIH HHS
- P01 CA114046 NCI NIH HHS
- T32 HG008962 NHGRI NIH HHS
- HHSN261201400008C NCI NIH HHS
- P30 CA091842 NCI NIH HHS
- U24 CA224067 NCI NIH HHS
- P50 CA196510 NCI NIH HHS
- U54 CA224070 NCI NIH HHS
- HHSN261200800001C CCR NIH HHS
- U54 CA224076 NCI NIH HHS
- U54 CA224065 NCI NIH HHS
- U54 CA233306 NCI NIH HHS
- P30 CA010815 NCI NIH HHS
- U24 CA204781 NCI NIH HHS
- U54 CA224083 NCI NIH HHS
- HHSN261201500003C NCI NIH HHS
- R50 CA211199 NCI NIH HHS
- P30 CA125123 NCI NIH HHS
- P50 CA070907 NCI NIH HHS
- HHSN261201500003I NCI NIH HHS
- HHSN261200800001E NCI NIH HHS
- P30 CA042014 NCI NIH HHS
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
- KWF Kankerbestrijding (Dutch Cancer Society)
- Oncode Institute
- Fondazione AIRC under 5 per Mille 2018 - ID. 21091 EU H2020 Research and Innovation Programme, grant agreement no. 731105 European Research Council Consolidator Grant 724748
- EU H2020 Research and Innovation Programme, grant Agreement No. 754923
- EU H2020 Research and Innovation Programme, grant agreement no. 731105 ISCIII - Miguel Servet program CP14/00228 GHD-Pink/FERO Foundation grant
- Fondazione Piemontese per la Ricerca sul Cancro-ONLUS 5 per mille Ministero della Salute 2015
- Korean Health Industry Development Institute HI13C2148
- Korean Health Industry Development Institute HI13C2148 The First Affiliated Hospital of Xi’an Jiaotong University Ewha Womans University Research Grant
- CPRIT RP170691
- SCU | Ignatian Center for Jesuit Education, Santa Clara University
- Breast Cancer Research Foundation (BCRF)
- Fashion Footwear Charitable Foundation of New York The Foundation for Barnes-Jewish Hospital’s Cancer Frontier Fund
- My First AIRC Grant 19047
- Fondazione AIRC under 5 per Mille 2018 - ID. 21091 AIRC Investigator Grants 18532 and 20697 AIRC/CRUK/FC AECC Accelerator Award 22795 Fondazione Piemontese per la Ricerca sul Cancro-ONLUS 5 per mille Ministero della Salute 2015, 2014, 2016 EU H2020 Research and Innovation Programme, grant Agreement No. 754923 EU H2020 Research and Innovation Programme, grant agreement no. 731105
- Science Foundation Ireland (SFI)
- EU H2020 Research and Innovation Programme, grant agreement no. 731105 EU H2020 Research and Innovation Programme, grant Agreement No. 754923 Irish Health Research Board grant ILP-POR-2019-066
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research)
- EU H2020 Research and Innovation Programme, grant agreement no. 731105 European Research Council (ERC) Synergy project CombatCancer Oncode Institute
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Affiliation(s)
- Xing Yi Woo
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - Jessica Giordano
- grid.7605.40000 0001 2336 6580Department of Oncology, University of Turin, Turin, Italy ,grid.419555.90000 0004 1759 7675Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Anuj Srivastava
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - Zi-Ming Zhao
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - Michael W. Lloyd
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME USA
| | - Roebi de Bruijn
- grid.430814.aNetherlands Cancer Institute, Amsterdam, the Netherlands
| | - Yun-Suhk Suh
- grid.31501.360000 0004 0470 5905College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Rajesh Patidar
- grid.418021.e0000 0004 0535 8394Frederick National Laboratory for Cancer Research, Frederick, MD USA
| | - Li Chen
- grid.418021.e0000 0004 0535 8394Frederick National Laboratory for Cancer Research, Frederick, MD USA
| | - Sandra Scherer
- grid.223827.e0000 0001 2193 0096Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA
| | - Matthew H. Bailey
- grid.223827.e0000 0001 2193 0096Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA ,grid.223827.e0000 0001 2193 0096Department of Human Genetics, University of Utah, Salt Lake City, UT USA
| | - Chieh-Hsiang Yang
- grid.223827.e0000 0001 2193 0096Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA
| | - Emilio Cortes-Sanchez
- grid.223827.e0000 0001 2193 0096Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA
| | - Yuanxin Xi
- grid.240145.60000 0001 2291 4776Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Jing Wang
- grid.240145.60000 0001 2291 4776Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | | | | | - Vito W. Rebecca
- grid.251075.40000 0001 1956 6678The Wistar Institute, Philadelphia, PA USA
| | - Hua Sun
- grid.4367.60000 0001 2355 7002Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO USA
| | - R. Jay Mashl
- grid.4367.60000 0001 2355 7002Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO USA
| | - Sherri R. Davies
- grid.4367.60000 0001 2355 7002Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO USA
| | - Ryan Jeon
- grid.492568.4Seven Bridges Genomics, Charlestown, MA USA
| | | | | | | | - Francesco Galimi
- grid.7605.40000 0001 2336 6580Department of Oncology, University of Turin, Turin, Italy ,grid.419555.90000 0004 1759 7675Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Andrea Bertotti
- grid.7605.40000 0001 2336 6580Department of Oncology, University of Turin, Turin, Italy ,grid.419555.90000 0004 1759 7675Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Adam Lafferty
- grid.4912.e0000 0004 0488 7120Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Alice C. O’Farrell
- grid.4912.e0000 0004 0488 7120Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Elodie Modave
- grid.5596.f0000 0001 0668 7884Center for Cancer Biology, VIB, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Diether Lambrechts
- grid.5596.f0000 0001 0668 7884Center for Cancer Biology, VIB, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Petra ter Brugge
- grid.430814.aNetherlands Cancer Institute, Amsterdam, the Netherlands
| | - Violeta Serra
- grid.411083.f0000 0001 0675 8654Vall d´Hebron Institute of Oncology, Barcelona, Spain
| | - Elisabetta Marangoni
- grid.418596.70000 0004 0639 6384Department of Translational Research, Institut Curie, PSL Research University, Paris, France
| | - Rania El Botty
- grid.418596.70000 0004 0639 6384Department of Translational Research, Institut Curie, PSL Research University, Paris, France
| | - Hyunsoo Kim
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - Jong-Il Kim
- grid.31501.360000 0004 0470 5905College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Han-Kwang Yang
- grid.31501.360000 0004 0470 5905College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Charles Lee
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT USA ,grid.452438.cPrecision Medicine Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China ,grid.255649.90000 0001 2171 7754Department of Life Sciences, Ewha Womans University, Seoul, Republic of Korea
| | - Dennis A. Dean
- grid.492568.4Seven Bridges Genomics, Charlestown, MA USA
| | | | - Yvonne A. Evrard
- grid.418021.e0000 0004 0535 8394Frederick National Laboratory for Cancer Research, Frederick, MD USA
| | - James H. Doroshow
- grid.48336.3a0000 0004 1936 8075Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD USA
| | - Alana L. Welm
- grid.223827.e0000 0001 2193 0096Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA
| | - Bryan E. Welm
- grid.223827.e0000 0001 2193 0096Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA ,grid.223827.e0000 0001 2193 0096Department of Surgery, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT USA
| | - Michael T. Lewis
- grid.39382.330000 0001 2160 926XLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX USA
| | - Bingliang Fang
- grid.240145.60000 0001 2291 4776Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Jack A. Roth
- grid.240145.60000 0001 2291 4776Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Funda Meric-Bernstam
- grid.240145.60000 0001 2291 4776Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Meenhard Herlyn
- grid.251075.40000 0001 1956 6678The Wistar Institute, Philadelphia, PA USA
| | - Michael A. Davies
- grid.240145.60000 0001 2291 4776Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Li Ding
- grid.4367.60000 0001 2355 7002Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO USA
| | - Shunqiang Li
- grid.4367.60000 0001 2355 7002Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO USA
| | - Ramaswamy Govindan
- grid.4367.60000 0001 2355 7002Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO USA
| | - Claudio Isella
- grid.7605.40000 0001 2336 6580Department of Oncology, University of Turin, Turin, Italy ,grid.419555.90000 0004 1759 7675Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Jeffrey A. Moscow
- grid.48336.3a0000 0004 1936 8075Investigational Drug Branch, National Cancer Institute, Bethesda, MD USA
| | - Livio Trusolino
- grid.7605.40000 0001 2336 6580Department of Oncology, University of Turin, Turin, Italy ,grid.419555.90000 0004 1759 7675Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Annette T. Byrne
- grid.4912.e0000 0004 0488 7120Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Jos Jonkers
- grid.430814.aNetherlands Cancer Institute, Amsterdam, the Netherlands
| | - Carol J. Bult
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME USA
| | - Enzo Medico
- grid.7605.40000 0001 2336 6580Department of Oncology, University of Turin, Turin, Italy ,grid.419555.90000 0004 1759 7675Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Jeffrey H. Chuang
- grid.249880.f0000 0004 0374 0039The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
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47
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Zhang X, Zhang R, Chen H, Wang L, Ren C, Pataer A, Wu S, Meng QH, Ha MJ, Morris J, Xi Y, Wang J, Zhang J, Gibbons DL, Heymach JV, Meric-Bernstam F, Minna J, Swisher SG, Roth JA, Fang B. KRT-232 and navitoclax enhance trametinib's anti-Cancer activity in non-small cell lung cancer patient-derived xenografts with KRAS mutations. Am J Cancer Res 2020; 10:4464-4475. [PMID: 33415011 PMCID: PMC7783771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 11/17/2020] [Indexed: 06/12/2023] Open
Abstract
Activating mutations of the KRAS gene are one of the major genomic alterations associated with tumorigenesis of non-small cell lung cancer (NSCLC). Thus far, treatment of KRAS-mutant NSCLC remains an unmet medical need. We determined the in vivo treatment responses of 13 KRAS mutant and 14 KRAS wild type NSCLC patient-derived xenografts (PDXs) to agents that target known NSCLC vulnerabilities: the MEK inhibitor trametinib, the MDM2 inhibitor KRT-232, and the BCL-XL/BCL-2 inhibitor navitoclax. The results showed that the tumor regression rate after single agent therapy with KRT-232, trametinib and navitoclax was 11%, 10% and 0%, respectively. Combination therapies of trametinib plus KRT-232 and trametinib plus navitoclax led to improved partial response rates over single-agent activity in a subset of PDX models. Tumor regression was observed in 23% and 50% of PDXs after treatment with trametinib plus KRT-232 and trametinib plus navitoclax, respectively. The disease control rates in KRAS-mutant PDXs tested were 90%-100% after treatment with trametinib plus KRT-232 or plus navitoclax. A correlation analysis of treatment responses and genomic and proteomic biomarkers revealed that sensitivity to KRT-232 was significantly associated with TP53 wild-type or STK11 mutant genotypes (P<0.05). The levels of several proteins, including GSK3b, Nrf2, LKB1/pS334, and SMYD3, were significantly associated with sensitivity to trametinib plus navitoclax. Thus, the combination of trametinib plus KRT-232 or navitoclax resulted in improved efficacy compared with the agents alone in a subgroup of NSCLC PDX model with KRAS mutations. Expanded clinical trials of these targeted drug combinations in NSCLC are warranted.
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Affiliation(s)
- Xiaoshan Zhang
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Ran Zhang
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Huiqin Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Li Wang
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Chenghui Ren
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Apar Pataer
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Shuhong Wu
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Qing H Meng
- Department of Laboratory Medicine, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Min Jin Ha
- Department of Biostatistics, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Jeffrey Morris
- Department of Biostatistics, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - John Minna
- Hamon Center for Therapeutic Oncology, The Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical CenterDallas, Texas, USA
| | - Stephen G Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Jack A Roth
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
| | - Bingliang Fang
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer CenterHouston, Texas, USA
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48
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Shah BR, Holcomb JM, Davenport EM, Lack CM, McDaniel JM, Imphean DM, Xi Y, Rosenbaum DA, Urban JE, Wagner BC, Powers AK, Whitlow CT, Stitzel JD, Maldjian JA. Prevalence and Incidence of Microhemorrhages in Adolescent Football Players. AJNR Am J Neuroradiol 2020; 41:1263-1268. [PMID: 32661051 DOI: 10.3174/ajnr.a6618] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 04/20/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE SWI is an advanced imaging modality that is especially useful in cerebral microhemorrhage detection. Such microhemorrhages have been identified in adult contact sport athletes, and the sequelae of these focal bleeds are thought to contribute to neurodegeneration. The purpose of this study was to utilize SWI to determine whether the prevalence and incidence of microhemorrhages in adolescent football players are significantly greater than those of adolescent noncontact athletes. MATERIALS AND METHODS Preseason and postseason SWI was performed and evaluated on 78 adolescent football players. SWI was also performed on 27 adolescent athletes who reported no contact sport history. Two separate one-tailed Fisher exact tests were performed to determine whether the prevalence and incidence of microhemorrhages in adolescent football players are greater than those of noncontact athlete controls. RESULTS Microhemorrhages were observed in 12 football players. No microhemorrhages were observed in any controls. Adolescent football players demonstrated a significantly greater prevalence of microhemorrhages than adolescent noncontact controls (P = .02). Although 2 football players developed new microhemorrhages during the season, microhemorrhage incidence during 1 football season was not statistically greater in the football population than in noncontact control athletes (P = .55). CONCLUSIONS Adolescent football players have a greater prevalence of microhemorrhages compared with adolescent athletes who have never engaged in contact sports. While microhemorrhage incidence during 1 season is not significantly greater in adolescent football players compared to adolescent controls, there is a temporal association between playing football and the appearance of new microhemorrhages.
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Affiliation(s)
- B R Shah
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - J M Holcomb
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - E M Davenport
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - C M Lack
- Departments of Radiology (C.M.L., C.T.W.)
| | - J M McDaniel
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - D M Imphean
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - Y Xi
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - J E Urban
- Biomedical Engineering (J.E.U., J.D.S.)
| | - B C Wagner
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
| | - A K Powers
- Neurosurgery (A.K.P.), Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | | | - J A Maldjian
- From the Department of Radiology (B.R.S., J.M.H., E.M.D., J.M.M., D.M.I., Y.X., B.C.W., J.A.M.), University of Texas Southwestern Medical Center, Dallas, Texas
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49
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Abstract
In the post-natal mammalian brain perivascular astrocytes (PAs) ensheath blood vessels to regulate their unique permeability properties known as the blood-brain barrier (BBB). Very little is known about PA-expressed genes and signaling pathways that mediate contact and communication with endothelial cells (ECs) to regulate BBB physiology. This is due, in part, to lack of suitable models to distinguish PAs from other astrocyte sub-populations in the brain. To decipher the unique biology of PAs, we used in vivo gene knock-in technology to fluorescently label these cells in the adult mouse brain followed by fractionation and quantitative single cell RNA sequencing. In addition, PAs and non-PAs were also distinguished with transgenic fluorescent reporters followed by gene expression comparisons using bulk RNA sequencing. These efforts have identified several genes and pathways in PAs with potential roles in contact and communication with brain ECs. These genes encode various extracellular matrix (ECM) proteins and adhesion receptors, secreted growth factors, and intracellular signaling enzymes. Collectively, our experimental data reveal a set of genes that are expressed in PAs with putative roles in BBB physiology.
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Affiliation(s)
- Nejla Yosef
- Department of Neurosurgery, University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, University of Texas M. D. Anderson Cancer Center, Houston, TX, United States of America
| | - Joseph H. McCarty
- Department of Neurosurgery, University of Texas M.D. Anderson Cancer Center, Houston, TX, United States of America
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50
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Cargill K, Stewart C, Gay C, Ramkumar K, Cardnell R, Nilsson M, Heeke S, Park E, Diao L, Wang Q, Shen L, Le X, Xi Y, Kundu K, Gibbons D, Wang J, Heymach J, Byers L. 1745P SARS-CoV-2 infects metabolically-primed epithelial cells in lung cancer models. Ann Oncol 2020. [PMCID: PMC7506319 DOI: 10.1016/j.annonc.2020.08.1809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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