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Rees S, Arnold S, Kherlopian A, Fischer G. Attitudes Toward Proactive Topical Corticosteroid Use Among Women With Vulval Lichen Sclerosus. J Low Genit Tract Dis 2024; 28:183-188. [PMID: 38518216 DOI: 10.1097/lgt.0000000000000791] [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] [Indexed: 03/24/2024]
Abstract
OBJECTIVES Some practitioners are adopting proactive topical corticosteroid (TCS) therapy for vulval lichen sclerosus (VLS). We sought to understand patient attitudes toward proactive TCS therapy for VLS in a context in which proactive therapy is adopted. METHODS Four online focus group discussions with 12 participants. Data analysis was informed by social constructionist grounded theory. RESULTS All participants had accepted a proactive regimen. Three themes were developed from the analysis: "Coming to accept proactive therapy," "Motivators to maintaining a proactive regimen," and "The importance of a routine that fits me." Within each theme are subthemes illustrating different dimensions of the theme. CONCLUSIONS Accepting proactive TCS therapy for VLS requires incorporating regular TCS use into a patient's identity, unlearning previous understandings regarding the safety of long-term TCS use, and adopting a regimen that fits within patients' lives and minimizes the loss of autonomy.
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Affiliation(s)
- Sophie Rees
- Bristol Trials Centre, University of Bristol, Bristol, UK
| | - Susanne Arnold
- Warwick Clinical Trials Unit, University of Warwick, Coventry, UK
| | | | - Gayle Fischer
- Sydney Medical School, University of Sydney, Sydney, Australia
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2
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Du M, Xin J, Zheng R, Yuan Q, Wang Z, Liu H, Liu H, Cai G, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny S, Grankvist K, Johansson M, Caporaso NE, Cox A, Hong YC, Yuan JM, Schabath MB, Aldrich MC, Wang M, Shen H, Chen F, Zhang Z, Hung RJ, Amos CI, Wei Q, Lazarus P, Christiani DC. CYP2A6 Activity and Cigarette Consumption Interact in Smoking-Related Lung Cancer Susceptibility. Cancer Res 2024; 84:616-625. [PMID: 38117513 DOI: 10.1158/0008-5472.can-23-0900] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 07/28/2023] [Accepted: 12/14/2023] [Indexed: 12/21/2023]
Abstract
Cigarette smoke, containing both nicotine and carcinogens, causes lung cancer. However, not all smokers develop lung cancer, highlighting the importance of the interaction between host susceptibility and environmental exposure in tumorigenesis. Here, we aimed to delineate the interaction between metabolizing ability of tobacco carcinogens and smoking intensity in mediating genetic susceptibility to smoking-related lung tumorigenesis. Single-variant and gene-based associations of 43 tobacco carcinogen-metabolizing genes with lung cancer were analyzed using summary statistics and individual-level genetic data, followed by causal inference of Mendelian randomization, mediation analysis, and structural equation modeling. Cigarette smoke-exposed cell models were used to detect gene expression patterns in relation to specific alleles. Data from the International Lung Cancer Consortium (29,266 cases and 56,450 controls) and UK Biobank (2,155 cases and 376,329 controls) indicated that the genetic variant rs56113850 C>T located in intron 4 of CYP2A6 was significantly associated with decreased lung cancer risk among smokers (OR = 0.88, 95% confidence interval = 0.85-0.91, P = 2.18 × 10-16), which might interact (Pinteraction = 0.028) with and partially be mediated (ORindirect = 0.987) by smoking status. Smoking intensity accounted for 82.3% of the effect of CYP2A6 activity on lung cancer risk but entirely mediated the genetic effect of rs56113850. Mechanistically, the rs56113850 T allele rescued the downregulation of CYP2A6 caused by cigarette smoke exposure, potentially through preferential recruitment of transcription factor helicase-like transcription factor. Together, this study provides additional insights into the interplay between host susceptibility and carcinogen exposure in smoking-related lung tumorigenesis. SIGNIFICANCE The causal pathway connecting CYP2A6 genetic variability and activity, cigarette consumption, and lung cancer susceptibility in smokers highlights the need for behavior modification interventions based on host susceptibility for cancer prevention.
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Affiliation(s)
- Mulong Du
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Junyi Xin
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Rui Zheng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Qianyu Yuan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zhihui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Hanting Liu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Guoshuai Cai
- Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, NCI, US NIH, Bethesda, Maryland
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo, ISPA and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, NCI, US NIH, Bethesda, Maryland
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Angela Risch
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
- German Center for Lung Research (DZL), Heidelberg, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilian University, Munich, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Statistics and Epidemiology, Technical University of Munich, Munich, Germany
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Epidemiology, Division of Cancer Prevention and Population Science, The University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- Princess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Norris Cotton Cancer Center, Geisel School of Medicine, Hanover, New Hampshire
| | | | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, NCI, US NIH, Bethesda, Maryland
| | - Angela Cox
- Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of South Korea
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Feng Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China
| | - Rayjean J Hung
- Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor Medical College, Houston, Texas
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
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3
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Wang X, Zhang Z, Ding Y, Chen T, Mucci L, Albanes D, Landi MT, Caporaso NE, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, McKay JD, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny-Narui S, Behndig A, Johansson M, Cox A, Lazarus P, Schabath MB, Aldrich MC, Hung RJ, Amos CI, Lin X, Christiani DC. Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification. Genome Med 2024; 16:22. [PMID: 38317189 PMCID: PMC10840262 DOI: 10.1186/s13073-024-01298-4] [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: 01/19/2023] [Accepted: 01/26/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Although polygenic risk score (PRS) has emerged as a promising tool for predicting cancer risk from genome-wide association studies (GWAS), the individual-level accuracy of lung cancer PRS and the extent to which its impact on subsequent clinical applications remains largely unexplored. METHODS Lung cancer PRSs and confidence/credible interval (CI) were constructed using two statistical approaches for each individual: (1) the weighted sum of 16 GWAS-derived significant SNP loci and the CI through the bootstrapping method (PRS-16-CV) and (2) LDpred2 and the CI through posteriors sampling (PRS-Bayes), among 17,166 lung cancer cases and 12,894 controls with European ancestry from the International Lung Cancer Consortium. Individuals were classified into different genetic risk subgroups based on the relationship between their own PRS mean/PRS CI and the population level threshold. RESULTS Considerable variances in PRS point estimates at the individual level were observed for both methods, with an average standard deviation (s.d.) of 0.12 for PRS-16-CV and a much larger s.d. of 0.88 for PRS-Bayes. Using PRS-16-CV, only 25.0% of individuals with PRS point estimates in the lowest decile of PRS and 16.8% in the highest decile have their entire 95% CI fully contained in the lowest and highest decile, respectively, while PRS-Bayes was unable to find any eligible individuals. Only 19% of the individuals were concordantly identified as having high genetic risk (> 90th percentile) using the two PRS estimators. An increased relative risk of lung cancer comparing the highest PRS percentile to the lowest was observed when taking the CI into account (OR = 2.73, 95% CI: 2.12-3.50, P-value = 4.13 × 10-15) compared to using PRS-16-CV mean (OR = 2.23, 95% CI: 1.99-2.49, P-value = 5.70 × 10-46). Improved risk prediction performance with higher AUC was consistently observed in individuals identified by PRS-16-CV CI, and the best performance was achieved by incorporating age, gender, and detailed smoking pack-years (AUC: 0.73, 95% CI = 0.72-0.74). CONCLUSIONS Lung cancer PRS estimates using different methods have modest correlations at the individual level, highlighting the importance of considering individual-level uncertainty when evaluating the practical utility of PRS.
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Affiliation(s)
- Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 667 Huntington Ave, Boston, MA, 02115, USA
| | - Ziwei Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yi Ding
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, USA
| | - Tony Chen
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Lorelei Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Lam
- Department of Medicine, British Columbia Cancer Agency, University of British Columbia, Vancouver, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Angela Risch
- Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, and Cancer Cluster Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
| | - Gadi Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Carmel, Haifa, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James D McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Department of Community and Family Medicine, Dartmouth Geisel School of Medicine, Hanover, NH, USA
| | - Lambertus A Kiemeney
- Department for Health Evidence, Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Annelie Behndig
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Angie Cox
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Melinda C Aldrich
- Department of Medicine, Department of Biomedical Informatics and Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 667 Huntington Ave, Boston, MA, 02115, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
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Ridilla S, Wang H, Sylvester L, Arnold S. Pain and self-pressure relief in adolescents with cerebral palsy. Assist Technol 2024:1-7. [PMID: 38289978 DOI: 10.1080/10400435.2024.2305972] [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] [Accepted: 01/05/2024] [Indexed: 02/01/2024] Open
Abstract
Adolescents with CP classified as Gross Motor Functional Classification System Level V attend school up to 8 h daily with limited ability to self-reposition. Despite pain reported within this population, perceived pain and self-pressure relief during prolonged classroom sitting is unknown. A case series design was used with a convenience sample of six students (13-18 years) with CP. Pain assessments were taken every 30 min for 5 h. Self-relief assessments using the SensiMATTM were recorded while students were in their wheelchairs. One student self-reported pain and three students proxy reported pain movements. All students had unrelieved pressure or did not self-relieve pressure for at least 1.5 consecutive hours. Four students increased their self-pressure relief movements after 3.5 h. This study provided preliminary data regarding perceived pain and self-pressure relief during prolonged sitting and demonstrated that the SensiMATTM can capture pressure relief movements in sitting of students with severe CP. Although there was no trend of reported pain, students may either be moving enough, as demonstrated by recorded pressure relief movements, to independently relieve pressure and pain, or current pain assessments may not be sensitive enough for those with the most severe disabilities.
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Affiliation(s)
- S Ridilla
- Department of Rehabilitation Sciences, College of Allied Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - H Wang
- Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - L Sylvester
- Department of Rehabilitation Sciences, College of Allied Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - S Arnold
- Department of Rehabilitation Sciences, College of Allied Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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Backhouse MR, Halstead J, Roddy E, Dhukaram V, Chapman A, Arnold S, Bruce J. A multi-professional survey of UK practice in the use of intra-articular corticosteroid injection for symptomatic first metatarsophalangeal joint osteoarthritis. J Foot Ankle Res 2023; 16:71. [PMID: 37845758 PMCID: PMC10580568 DOI: 10.1186/s13047-023-00672-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND The first metatarsophalangeal joint is the most common site of osteoarthritis (OA) in the foot and ankle. Intra-articular corticosteroid injections are widely used for this condition, but little is known about their use in practice. This study explored current practice within the UK National Health Service (NHS) relating to the administration of intra-articular corticosteroids for people with painful first metatarsophalangeal joint (MTPJ) OA. METHODS A cross-sectional survey using Qualtrics online survey platform (Qualtrics, Provo, UT, USA), distributed through professional bodies, special interest groups, and social media. RESULTS One hundred forty-four healthcare professionals responded, including podiatrists (53/144; 39%), orthopaedic surgeons (28/144; 19%), podiatric surgeons (26/144; 17%) and physiotherapists (24/144; 16%). Half of respondents administered up to 25 corticosteroid injections per year (67/136; 49%) but some administered more than fifty (21/136; 15%). Injections were administered across the healthcare system but were most common in hospital settings (64/136; 44%) followed by community (38/136; 26%), with less delivered in primary care (11/136; 8%). Half of respondents routinely used image-guidance, either ultrasound or x-ray/fluoroscopy (65/136; 48%) although over one third used none (52/136; 38%). Imaging guidance was more common amongst medical professionals (21/31; 68%) compared to non-medical health professionals (45/105; 43%). Overall, methylprednisolone acetate was the most common corticosteroid used. Medical professionals mostly injected methylprednisolone acetate (n = 15/27; 56%) or triamcinolone acetonide (n = 11/27; 41%), whereas premixed methylprednisolone acetate with lidocaine hydrochloride was the most common preparation used by non-medical health professionals (41/85; 48%). When injecting non premixed steroid, lidocaine hydrochloride (15/35; 43%) was the most common choice of local anaesthetic for non-medical health professionals but medical professionals showed more variation between lidocaine hydrochloride (8/23; 35%) levobupivacaine hydrochloride (9/23; 39%) and bupivacaine hydrochloride (5/23; 22%). CONCLUSIONS Multiple professional groups regularly administer intra-articular corticosteroids for symptomatic first MTPJ OA across a range of NHS healthcare settings. Overall, methylprednisolone acetate was the most commonly administered steroid and lidocaine hydrochloride the most common local anaesthetic. There was large variation in the use of imaging guidance, type and dose of steroid, local anaesthetic, and clinical pathways used in the intra-articular injection of corticosteroids for people with first MTPJ OA.
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Affiliation(s)
- Michael R Backhouse
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill, CV4 7AL, UK.
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK.
| | | | - Edward Roddy
- School of Medicine, Primary Care Centre Versus Arthritis, Keele University, Staffordshire, UK
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership University NHS Foundation Trust, Stoke-on-Trent, UK
| | - Vivek Dhukaram
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK
| | - Anna Chapman
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK
| | - Susanne Arnold
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill, CV4 7AL, UK
| | - Julie Bruce
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill, CV4 7AL, UK
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK
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6
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Brischigliaro M, Cabrera-Orefice A, Arnold S, Viscomi C, Zeviani M, Fernández-Vizarra E. Structural rather than catalytic role for mitochondrial respiratory chain supercomplexes. eLife 2023; 12:RP88084. [PMID: 37823874 PMCID: PMC10569793 DOI: 10.7554/elife.88084] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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] [Indexed: 10/13/2023] Open
Abstract
Mammalian mitochondrial respiratory chain (MRC) complexes are able to associate into quaternary structures named supercomplexes (SCs), which normally coexist with non-bound individual complexes. The functional significance of SCs has not been fully clarified and the debate has been centered on whether or not they confer catalytic advantages compared with the non-bound individual complexes. Mitochondrial respiratory chain organization does not seem to be conserved in all organisms. In fact, and differently from mammalian species, mitochondria from Drosophila melanogaster tissues are characterized by low amounts of SCs, despite the high metabolic demands and MRC activity shown by these mitochondria. Here, we show that attenuating the biogenesis of individual respiratory chain complexes was accompanied by increased formation of stable SCs, which are missing in Drosophila melanogaster in physiological conditions. This phenomenon was not accompanied by an increase in mitochondrial respiratory activity. Therefore, we conclude that SC formation is necessary to stabilize the complexes in suboptimal biogenesis conditions, but not for the enhancement of respiratory chain catalysis.
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Affiliation(s)
- Michele Brischigliaro
- Department of Biomedical Sciences, University of PadovaPadovaItaly
- Veneto Institute of Molecular MedicinePaduaItaly
| | - Alfredo Cabrera-Orefice
- Radboud Institute for Molecular Life Sciences, Radboud University Medical CenterNijmegenNetherlands
| | - Susanne Arnold
- Radboud Institute for Molecular Life Sciences, Radboud University Medical CenterNijmegenNetherlands
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of CologneCologneGermany
| | - Carlo Viscomi
- Department of Biomedical Sciences, University of PadovaPadovaItaly
- Veneto Institute of Molecular MedicinePaduaItaly
| | - Massimo Zeviani
- Department of Neurosciences, University of PadovaPadovaItaly
| | - Erika Fernández-Vizarra
- Department of Biomedical Sciences, University of PadovaPadovaItaly
- Veneto Institute of Molecular MedicinePaduaItaly
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7
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Eljilany I, Saghand PG, Chen J, Ratan A, McCarter M, Carpten J, Colman H, Ikeguchi AP, Puzanov I, Arnold S, Churchman M, Hwu P, Conejo-Garcia J, Dalton WS, Weiner GJ, El Naqa IM, Tarhini AA. The T Cell Immunoscore as a Reference for Biomarker Development Utilizing Real-World Data from Patients with Advanced Malignancies Treated with Immune Checkpoint Inhibitors. Cancers (Basel) 2023; 15:4913. [PMID: 37894280 PMCID: PMC10605389 DOI: 10.3390/cancers15204913] [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: 08/24/2023] [Revised: 09/14/2023] [Accepted: 09/29/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND We aimed to determine the prognostic value of an immunoscore reflecting CD3+ and CD8+ T cell density estimated from real-world transcriptomic data of a patient cohort with advanced malignancies treated with immune checkpoint inhibitors (ICIs) in an effort to validate a reference for future machine learning-based biomarker development. METHODS Transcriptomic data was collected under the Total Cancer Care Protocol (NCT03977402) Avatar® project. The real-world immunoscore for each patient was calculated based on the estimated densities of tumor CD3+ and CD8+ T cells utilizing CIBERSORTx and the LM22 gene signature matrix. Then, the immunoscore association with overall survival (OS) was estimated using Cox regression and analyzed using Kaplan-Meier curves. The OS predictions were assessed using Harrell's concordance index (C-index). The Youden index was used to identify the optimal cut-off point. Statistical significance was assessed using the log-rank test. RESULTS Our study encompassed 522 patients with four cancer types. The median duration to death was 10.5 months for the 275 participants who encountered an event. For the entire cohort, the results demonstrated that transcriptomics-based immunoscore could significantly predict patients at risk of death (p-value < 0.001). Notably, patients with an intermediate-high immunoscore achieved better OS than those with a low immunoscore. In subgroup analysis, the prediction of OS was significant for melanoma and head and neck cancer patients but did not reach significance in the non-small cell lung cancer or renal cell carcinoma cohorts. CONCLUSIONS Calculating CD3+ and CD8+ T cell immunoscore using real-world transcriptomic data represents a promising signature for estimating OS with ICIs and can be used as a reference for future machine learning-based biomarker development.
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Affiliation(s)
- Islam Eljilany
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Payman Ghasemi Saghand
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - James Chen
- Department of Internal Medicine, Division of Medical Oncology, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Aakrosh Ratan
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Martin McCarter
- Division of Surgical Oncology, Department of Surgery, School of Medicine, University of Colorado, Aurora, CO 80045, USA
| | - John Carpten
- USC Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Howard Colman
- Department of Neurosurgery, School of Medicine, University of Utah, Salt Lake City, UT 84132, USA
- Huntsman Cancer Institute, Salt Lake City, UT 84132, USA
| | | | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Susanne Arnold
- University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA
| | - Michelle Churchman
- Clinical & Life Sciences Department, Aster Insights, Hudson, FL 34667, USA
| | - Patrick Hwu
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Jose Conejo-Garcia
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | | | - George J. Weiner
- Department of Internal Medicine, Carver College of Medicine, University of Iowa Health Care, Iowa City, IA 52242, USA
| | - Issam M. El Naqa
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Ahmad A. Tarhini
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
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8
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Greenlund LK, Berkseth M, Shanley R, Sando N, Golden L, Wieworka J, Bergerud KB, Olin M, Pluhar GE, Arnold S, Lawrence J, Venteicher A, Chen C, Ferreira C, Neil E, Dusenbery KE, Ganguly S, Kleinberg LR, Terezakis SA, Sloan L. The Effects of Adjuvant Chemoradiotherapy (CRT) on Myeloid-Derived Suppressor Cell (MDSC) Subsets in Glioblastoma (GBM). Int J Radiat Oncol Biol Phys 2023; 117:e232. [PMID: 37784930 DOI: 10.1016/j.ijrobp.2023.06.1148] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) GBM continues to be a diagnosis with an exceedingly low survival rate despite standard therapy of resection followed by concurrent CRT. MDSC, immunosuppressive myeloid cells that aid immune system evasion by the tumor, expand during fractionated RT. To date, little is known about the effects of CRT on MDSC subsets. The goal of our pilot study is to compare peripheral blood MDSC subset frequency in patients (pts) undergoing CRT. We hypothesize that the pro-tumor, monocytic MDSC (M-MDSC) subset increases following CRT. MATERIALS/METHODS Pts over the age of 18 yo with a new diagnosis of GBM from a single institution participated in the study between 7/2022 -1/2023. Exclusion criteria included prior history of brain RT. Baseline peripheral blood samples were collected within one week prior to CRT start and post-CRT samples were collected within the last week of CRT. Peripheral blood mononuclear cells (PBMC) were isolated from whole blood and freshly stained for intracellular flow cytometric analyses. Total MDSC (singlet, viable, non-lymphocyte, CD11b+CD33+ HLA-DR- cells) and subsets (M-MDSC, granulocytic (G-MDSC), and early MDSC (eMDSC)) were identified. Percent frequency (%fx) of total and MDSC subsets as well as MDSC activation status (n = 3) (interleukin (IL)-10, transforming growth factor-β (TGF-β), interferon gamma (IFNγ)) was compared before and after CRT. RESULTS The average age of pts receiving CRT (n = 4) was 70 yo. Fractionated RT consisted of CF RT (n = 2), 6000 cGy in 30 fractions, and HF RT (n = 2), 4005 cGy in 15 fractions. All pts received concurrent chemotherapy with temozolomide. The %fx of MDSC of non-lymphocytes started at 29.2% prior to CRT and decreased to 9.9% at the end of CRT. The fold change of %fx of total MDSC in CF RT and HF RT was 0.39 and 0.29, respectively. The mean change in %fx of MDSC subsets before and after CRT are shown in Table 1. The mean %fx of TGF-β-expressing MDSC in all GBM pts increased by 3.5% after CRT. The mean IFNγ+ MDSC %fx for all GBM pts decreased after CRT from 24.2% to 16.2% with a corresponding decrease in geometric mean fluorescence intensity (GMFI). The mean %fx of IL-10+ MDSC decreased by 1.5% at the end of CRT with a decrease in GMFI from 5550 to 1806. CONCLUSION In this limited dataset of pts with GBM receiving standard of care adjuvant therapy, we identified an expansion in the eMDSC and decrease in the M-MDSC subsets. These early results suggest HF RT may promote immunity that is more supportive of anti-tumor function, with a lesser increase in fold change of total MDSC after CRT. A more detailed understanding of the effect of RT on myeloid subpopulations is essential to addressing immune suppression in pts with GBM.
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Affiliation(s)
- L K Greenlund
- University of Minnesota Medical School, Minneapolis, MN
| | - M Berkseth
- University of Minnesota, Minneapolis, MN
| | - R Shanley
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN
| | - N Sando
- University of Minnesota, Minneapolis, MN
| | - L Golden
- University of Minnesota, Minneapolis, MN
| | - J Wieworka
- University of Minnesota, Minneapolis, MN
| | | | - M Olin
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN
| | - G E Pluhar
- Department of Veterinary and Clinical Sciences, University of Minnesota, Minneapolis, MN
| | - S Arnold
- Department of Neurology, University of Minnesota Veterinary Medical Center, Minneapolis, MN
| | | | - A Venteicher
- Department of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN
| | - C Chen
- Department of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN
| | - C Ferreira
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
| | - E Neil
- Department of Neurology, University of Minnesota Medical School, Minneapolis, MN
| | - K E Dusenbery
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
| | - S Ganguly
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - L R Kleinberg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - L Sloan
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
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9
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Cheng C, Hong W, Li Y, Xiao X, McKay J, Han Y, Byun J, Peng B, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold S, Goodman G, Field JK, Davies MPA, Shete SS, Le Marchand L, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Zhu M, Shen H, Zienolddiny S, Grankvist K, Johansson M, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Brennan P, Li Y, Gorlova O, Gorlov I, Amos CI. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis. J Thorac Oncol 2023; 18:1003-1016. [PMID: 37150255 PMCID: PMC10435278 DOI: 10.1016/j.jtho.2023.05.001] [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] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/21/2023] [Accepted: 05/01/2023] [Indexed: 05/09/2023]
Abstract
INTRODUCTION Mosaic chromosomal alterations (mCAs) detected in white blood cells represent a type of clonal hematopoiesis (CH) that is understudied compared with CH-related somatic mutations. A few recent studies indicated their potential link with nonhematological cancers, especially lung cancer. METHODS In this study, we investigated the association between mCAs and lung cancer using the high-density genotyping data from the OncoArray study of INTEGRAL-ILCCO, the largest single genetic study of lung cancer with 18,221 lung cancer cases and 14,825 cancer-free controls. RESULTS We identified a comprehensive list of autosomal mCAs, ChrX mCAs, and mosaic ChrY (mChrY) losses from these samples. Autosomal mCAs were detected in 4.3% of subjects, in addition to ChrX mCAs in 3.6% of females and mChrY losses in 9.6% of males. Multivariable logistic regression analysis indicated that the presence of autosomal mCAs in white blood cells was associated with an increased lung cancer risk after adjusting for key confounding factors, including age, sex, smoking status, and race. This association was mainly driven by a specific type of mCAs: copy-neutral loss of heterozygosity on autosomal chromosomes. The association between autosome copy-neutral loss of heterozygosity and increased risk of lung cancer was further confirmed in two major histologic subtypes, lung adenocarcinoma and squamous cell carcinoma. In addition, we observed a significant increase of ChrX mCAs and mChrY losses in smokers compared with nonsmokers and racial differences in certain types of mCA events. CONCLUSIONS Our study established a link between mCAs in white blood cells and increased risk of lung cancer.
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Affiliation(s)
- Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Wei Hong
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Bo Peng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen Lam
- Department of Integrative Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Angela Risch
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany; University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, Kentucky
| | | | - John K Field
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Michael P A Davies
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, Texas; Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, California
| | - Rayjean J Hung
- Luenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Dartmouth College, Hanover, New Hampshire; Department of Community and Family Medicine, Dartmouth College, Hanover, New Hampshire
| | | | - Meng Zhu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Angela Cox
- Academic Unit of Clinical Oncology University of Sheffield, Weston Park Hospital, Whitham Road, Sheffield, United Kingdom
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Yong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
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10
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Shi J, Shiraishi K, Choi J, Matsuo K, Chen TY, Dai J, Hung RJ, Chen K, Shu XO, Kim YT, Landi MT, Lin D, Zheng W, Yin Z, Zhou B, Song B, Wang J, Seow WJ, Song L, Chang IS, Hu W, Chien LH, Cai Q, Hong YC, Kim HN, Wu YL, Wong MP, Richardson BD, Funderburk KM, Li S, Zhang T, Breeze C, Wang Z, Blechter B, Bassig BA, Kim JH, Albanes D, Wong JYY, Shin MH, Chung LP, Yang Y, An SJ, Zheng H, Yatabe Y, Zhang XC, Kim YC, Caporaso NE, Chang J, Ho JCM, Kubo M, Daigo Y, Song M, Momozawa Y, Kamatani Y, Kobayashi M, Okubo K, Honda T, Hosgood DH, Kunitoh H, Patel H, Watanabe SI, Miyagi Y, Nakayama H, Matsumoto S, Horinouchi H, Tsuboi M, Hamamoto R, Goto K, Ohe Y, Takahashi A, Goto A, Minamiya Y, Hara M, Nishida Y, Takeuchi K, Wakai K, Matsuda K, Murakami Y, Shimizu K, Suzuki H, Saito M, Ohtaki Y, Tanaka K, Wu T, Wei F, Dai H, Machiela MJ, Su J, Kim YH, Oh IJ, Lee VHF, Chang GC, Tsai YH, Chen KY, Huang MS, Su WC, Chen YM, Seow A, Park JY, Kweon SS, Chen KC, Gao YT, Qian B, Wu C, Lu D, Liu J, Schwartz AG, Houlston R, Spitz MR, Gorlov IP, Wu X, Yang P, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Ji BT, Wichmann HE, Christiani DC, Rennert G, Arnold S, Brennan P, McKay J, Field JK, Shete SS, Le Marchand L, Liu G, Andrew A, Kiemeney LA, Zienolddiny-Narui S, Grankvist K, Johansson M, Cox A, Taylor F, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Jeon HS, Jiang SS, Sung JS, Chen CH, Hsiao CF, Jung YJ, Guo H, Hu Z, Burdett L, Yeager M, Hutchinson A, Hicks B, Liu J, Zhu B, Berndt SI, Wu W, Wang J, Li Y, Choi JE, Park KH, Sung SW, Liu L, Kang CH, Wang WC, Xu J, Guan P, Tan W, Yu CJ, Yang G, Sihoe ADL, Chen Y, Choi YY, Kim JS, Yoon HI, Park IK, Xu P, He Q, Wang CL, Hung HH, Vermeulen RCH, Cheng I, Wu J, Lim WY, Tsai FY, Chan JKC, Li J, Chen H, Lin HC, Jin L, Liu J, Sawada N, Yamaji T, Wyatt K, Li SA, Ma H, Zhu M, Wang Z, Cheng S, Li X, Ren Y, Chao A, Iwasaki M, Zhu J, Jiang G, Fei K, Wu G, Chen CY, Chen CJ, Yang PC, Yu J, Stevens VL, Fraumeni JF, Chatterjee N, Gorlova OY, Hsiung CA, Amos CI, Shen H, Chanock SJ, Rothman N, Kohno T, Lan Q. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population. Nat Commun 2023; 14:3043. [PMID: 37236969 PMCID: PMC10220065 DOI: 10.1038/s41467-023-38196-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [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: 02/27/2022] [Accepted: 04/19/2023] [Indexed: 05/28/2023] Open
Abstract
Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications.
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Affiliation(s)
- Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Tzu-Yu Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Young Tae Kim
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Baosen Zhou
- Department of Clinical Epidemiology and Center of Evidence Based Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Bao Song
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Jiucun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei Jie Seow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hee Nam Kim
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Maria Pik Wong
- Department of Pathology, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Brian Douglas Richardson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Karen M Funderburk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Shilan Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biostatistics, Bioinformatics & Biomathematics, Georgetown University Medical Center, Washington, DC, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Zhaoming Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Lap Ping Chung
- Department of Pathology, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Yang Yang
- Shanghai Pulmonary Hospital, Shanghai, China
| | - She-Juan An
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Yasushi Yatabe
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Young-Chul Kim
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasuneup, Republic of Korea
- Department of Internal Medicine, Chonnam National Univerisity Medical School, Gwangju, Republic of Korea
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jiang Chang
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - James Chung Man Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yataro Daigo
- Center for Antibody and Vaccine Therapy, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Medical Oncology and Cancer Center, and Center for Advanced Medicine against Cancer, Shiga University of Medical Science, Shiga, Japan
| | - Minsun Song
- Department of Statistics & Research Institute of Natural Sciences, Sookmyung Women's University, Seoul, Republic of Korea
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masashi Kobayashi
- Department of Thoracic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kenichi Okubo
- Department of Thoracic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takayuki Honda
- Department of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Dean H Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Hideo Kunitoh
- Department of Medical Oncology, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Harsh Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Shun-Ichi Watanabe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Haruhiko Nakayama
- Department of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Shingo Matsumoto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hidehito Horinouchi
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Yuichiro Ohe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiteru Goto
- Department of Cellular and Organ Pathology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Yoshihiro Minamiya
- Department of Thoracic Surgery, Graduate School of Medicine, Akita University, Akita, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kimihiro Shimizu
- Department of Surgery, Division of General Thoracic Surgery, Shinshu University School of Medicine Asahi, Nagano, Japan
| | - Hiroyuki Suzuki
- Department of Chest Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Motonobu Saito
- Department of Gastrointestinal Tract Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Yoichi Ohtaki
- Department of Integrative center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Kazumi Tanaka
- Department of Integrative center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Lab for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing, China
| | - Hongji Dai
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jian Su
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - In-Jae Oh
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasuneup, Republic of Korea
- Department of Internal Medicine, Chonnam National Univerisity Medical School, Gwangju, Republic of Korea
| | - Victor Ho Fun Lee
- Department of Clinical Oncology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Gee-Chen Chang
- School of Medicine and Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
- Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ying-Huang Tsai
- Department of Respiratory Therapy, Chang Gung University, Taoyuan, Taiwan
- Department of Pulmonary and Critical Care, Xiamen Chang Gung Hospital, Xiamen, China
| | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Ming-Shyan Huang
- Department of Internal Medicine, E-Da Cancer Hospital, I-Shou University and Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wu-Chou Su
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, and school of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
- Jeonnam Regional Cancer Center, Chonnam National University, Hwasun, Republic of Korea
| | - Kun-Chieh Chen
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Biyun Qian
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Chen Wu
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jianjun Liu
- Genome Institute of Singapore, Agency of Science, Technology and Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Margaret R Spitz
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
| | - Ivan P Gorlov
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
| | - Xifeng Wu
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ping Yang
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, USA
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stig E Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Angela Risch
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Helmholtz Center Munich, Institute of Epidemiology, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | | | | | | | - Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James McKay
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Sanjay S Shete
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | | | | | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | | | | | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Washington State University College of Pharmacy, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hyo-Sung Jeon
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Shih Sheng Jiang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Jae Sook Sung
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Chung-Hsing Chen
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chin-Fu Hsiao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Yoo Jin Jung
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Jia Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Junwen Wang
- Department of Biochemistry, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yuqing Li
- Department of Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Jin Eun Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Kyong Hwa Park
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Li Liu
- Department of Oncology, Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Hyun Kang
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Wen-Chang Wang
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Jun Xu
- School of Public Health, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Wen Tan
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | | | - Ying Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yi Young Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Jun Suk Kim
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Ho-Il Yoon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ping Xu
- Department of Oncology, Wuhan Iron and Steel (Group) Corporation Staff-Worker Hospital, Wuhan, China
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Chih-Liang Wang
- Department of Pulmonary and Critical Care, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsiao-Han Hung
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Roel C H Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Junjie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei-Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, China
| | - Hongyan Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Hsien-Chih Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jie Liu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Kathleen Wyatt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Shengchao A Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhehai Wang
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Sensen Cheng
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Xuelian Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Yangwu Ren
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Ann Chao
- Center for Global Health, National Cancer Institute, Bethesda, MD, USA
| | - Motoki Iwasaki
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Junjie Zhu
- Shanghai Pulmonary Hospital, Shanghai, China
| | | | - Ke Fei
- Shanghai Pulmonary Hospital, Shanghai, China
| | - Guoping Wu
- China National Environmental Monitoring Center, Beijing, China
| | - Chih-Yi Chen
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chien-Jen Chen
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Jinming Yu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | | | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Olga Y Gorlova
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Christopher I Amos
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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Hamidian Jahromi A, Arnold S, Konofaos P. APPLICATIONS OF VISCOELASTIC TESTING IN MICROSURGERY: A SYSTEMIC REVIEW AND META-ANALYSIS. Georgian Med News 2023:6-12. [PMID: 37354664] [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: 06/26/2023]
Abstract
Viscoelastic testing including thromboelastography (TEG) and rotational thromboelastometry (ROTEM) has gained increasing popularity across many medical fields in recent years. As TEG/ROTEM testing uses whole blood sample and evaluates interactions between cellular components i.e., platelets, red blood cells and the clotting factors, these evaluations are uniquely capable of assessing coagulation in an in-vitro environment, resembling native conditions unlike those of conventual clotting tests (CCTs). While viscoelastic based protocols and applications are more commonplace in hepatic and cardiac surgery and trauma scenarios, results have attracted the attention of additional disciplines including microsurgery. TEG/ROTEM tests, with their ability to assess real-time risk of excessive bleeding or thrombosis, may be useful in the monitoring of microsurgery patients who may be at an increased risk for flap failure. The following review of TEG/ROTEM testing focuses on the most common applications of these coagulation tests and the evidence that does or does not support such uses. A systematic review and meta-analysis of the current application of TEG/ROTEM in microsurgery is reported along with an emphasis on the future that it might hold for the field.
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Affiliation(s)
- A Hamidian Jahromi
- 1Division of Plastic & Reconstructive Surgery, Temple University Medical Center, Philadelphia, PA, USA
| | - S Arnold
- 2Division of Plastic & Reconstructive Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - P Konofaos
- 3Department of Plastic Surgery, University of Tennessee Health Science Center (UTHSC), Memphis, Tennessee, USA
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Hevler JF, Albanese P, Cabrera-Orefice A, Potter A, Jankevics A, Misic J, Scheltema RA, Brandt U, Arnold S, Heck AJR. MRPS36 provides a structural link in the eukaryotic 2-oxoglutarate dehydrogenase complex. Open Biol 2023; 13:220363. [PMID: 36854377 PMCID: PMC9974300 DOI: 10.1098/rsob.220363] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
The tricarboxylic acid cycle is the central pathway of energy production in eukaryotic cells and plays a key part in aerobic respiration throughout all kingdoms of life. One of the pivotal enzymes in this cycle is 2-oxoglutarate dehydrogenase complex (OGDHC), which generates NADH by oxidative decarboxylation of 2-oxoglutarate to succinyl-CoA. OGDHC is a megadalton protein complex originally thought to be assembled from three catalytically active subunits (E1o, E2o, E3). In fungi and animals, however, the protein MRPS36 has more recently been proposed as a putative additional component. Based on extensive cross-linking mass spectrometry data supported by phylogenetic analyses, we provide evidence that MRPS36 is an important member of the eukaryotic OGDHC, with no prokaryotic orthologues. Comparative sequence analysis and computational structure predictions reveal that, in contrast with bacteria and archaea, eukaryotic E2o does not contain the peripheral subunit-binding domain (PSBD), for which we propose that MRPS36 evolved as an E3 adaptor protein, functionally replacing the PSBD. We further provide a refined structural model of the complete eukaryotic OGDHC of approximately 3.45 MDa with novel mechanistic insights.
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Affiliation(s)
- Johannes F. Hevler
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Pascal Albanese
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Alfredo Cabrera-Orefice
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands
| | - Alisa Potter
- Radboud Center for Mitochondrial Medicine, Department of Pediatrics, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands
| | - Andris Jankevics
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Jelena Misic
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Richard A. Scheltema
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Ulrich Brandt
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, 50931 Cologne, Germany
| | - Susanne Arnold
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, 50931 Cologne, Germany
| | - Albert J. R. Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands
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Ojaimi RE, Carteron M, Arnold S, Broux N, Corsia G, Zicarelli JP, Benhamou D. Neuraxial anesthesia for delivery in parturtients with Brugada syndrome: Local anesthetics revisited. J Gynecol Obstet Hum Reprod 2023; 52:102562. [PMID: 36858196 DOI: 10.1016/j.jogoh.2023.102562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 03/02/2023]
Affiliation(s)
- R El Ojaimi
- AP-HP, Département d'Anesthésie Réanimation and Médecine Péri Opératoire, Hôpital Henri, Mondor, 94000 Créteil, France
| | - M Carteron
- Service d'Anesthésie Réanimation and Médecine Péri Opératoire, Centre Hospitalier Jacques, Coeur Bourges, France
| | - S Arnold
- Département d'Anesthésie Réanimation and Médecine Péri Opératoire, Centre Hospitalier, Sud-Francilien, Corbeil-Essonnnes, France
| | - N Broux
- Service d'Anesthésie, Centre Hospitalier de Niort, France
| | - G Corsia
- AP-HP, Département d'Anesthésie Réanimation and Médecine Péri Opératoire, Hôpital La Pitié-Salpétrière, Paris, France
| | - J P Zicarelli
- AP-HM, Département d'Anesthésie Réanimation and Médecine Péri Opératoire, France
| | - D Benhamou
- AP-HP Département d'Anesthésie, Réanimation and Médecine Péri Opératoire, Université Paris-Saclay, Hôpital Universitaire Bicêtre, 94275 Le Kremlin-Bicêtre, France.
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14
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Bruce J, Hossain A, Ji C, Lall R, Arnold S, Padfield E, Underwood M, Lamb SE. Falls and fracture risk screening in primary care: update and validation of a postal screening tool for community dwelling older adults recruited to UK Prevention of Falls Injury Trial (PreFIT). BMC Geriatr 2023; 23:42. [PMID: 36690953 PMCID: PMC9872287 DOI: 10.1186/s12877-022-03649-5] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/23/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Postal screening has not previously been validated as a method for identifying fall and fracture risk in community-dwelling populations. We examined prognostic performance of a postal risk screener used in the UK Prevention of Falls Injury Trial (PreFIT; ISRCTN71002650), to predict any fall, recurrent falls, and fractures over 12 months. We tested whether adding variables would improve screener performance. METHODS Nine thousand eight hundred and eight community-dwelling participants, aged 70 years and older, and 63 general practices in the UK National Health Service (NHS) were included in a large, pragmatic cluster randomised trial comparing screen and treat fall prevention interventions. The short postal screener was sent to all participants in the trial intervention arms as an A4 sheet to be completed and returned to the GP (n = 6,580). The postal screener items were embedded in the baseline pre-randomisation postal questionnaire for all arms of the trial (n = 9,808). We assessed discrimination and calibration using area under the curve (AUC). We identified additional predictors using data from the control arm and applied these coefficients to internal validation models in the intervention arm participants. We used logistic regression to identify additional predictor variables. FINDINGS A total of 10,743 falls and 307 fractures were reported over 12 months. Over one third of participants 3,349/8,136 (41%) fell at least once over 12 month follow up. Response to the postal screener was high (5,779/6,580; 88%). Prediction models showed similar discriminatory ability in both control and intervention arms, with discrimination values for any fall AUC 0.67 (95% CI 0.65 to 0.68), and recurrent falls (AUC 0.71; 95% CI 0.69, 0.72) but poorer discrimination for fractures (AUC 0.60; 95% CI 0.56, 0.64). Additional predictor variables improved prediction of falls but had modest effect on fracture, where AUC rose to 0.71 (95% CI 0.67 to 0.74). Calibration slopes were very close to 1. CONCLUSION A short fall risk postal screener was acceptable for use in primary care but fall prediction was limited, although consistent with other tools. Fracture and fall prediction were only partially reliant on fall risk although were improved with the additional variables.
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Affiliation(s)
- Julie Bruce
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
- University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
| | - Anower Hossain
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Chen Ji
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Ranjit Lall
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Susanne Arnold
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Emma Padfield
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Martin Underwood
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
- University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | - Sarah E Lamb
- South Cloisters, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
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15
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Arnold S, Fernando S, Rees S. Living with vulval lichen sclerosus: a qualitative interview study. Br J Dermatol 2022; 187:909-918. [PMID: 35831927 PMCID: PMC10087446 DOI: 10.1111/bjd.21777] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/12/2022] [Accepted: 07/12/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Vulval lichen sclerosus (VLS) is a chronic inflammatory condition predominantly affecting the anogenital skin. Symptoms can be distressing and affect quality of life and everyday activities. Very little research has been undertaken to explore the experience of living with VLS from the perspective of people with the condition. OBJECTIVES To understand individuals' experiences of VLS and its impact on their lives. PARTICIPANTS AND METHODS Semi-structured remote (telephone or video) interviews were conducted with a purposive sample of 20 women living in the UK with VLS recruited via online support groups and social media. Data collection and analysis was informed by social constructionist grounded theory, using a constant comparison method. RESULTS We developed three themes to interpret the experience of living with VLS: missed opportunities (participants experienced delayed diagnosis, lack of information and disempowering encounters with healthcare professionals); learning to live with a long-term condition (the amount of work involved in learning how to self-manage the disease and the impact on everyday life); a secret life (experiences of the condition were often shrouded in secrecy, and there was stigma associated with a vulval skin condition resulting in them feeling isolated and lonely). CONCLUSIONS Patients attending healthcare appointments with vulval complaints should be examined and LS should be considered as a diagnosis. Healthcare professionals' awareness and knowledge of VLS needs to be improved and they should avoid language which is blaming or minimizing of patients' experiences. VLS is a chronic condition and patients need to be supported in self-management. Support groups may be a source of support and information but can also be challenging when hearing others' difficult experiences. Wider public health educational activities are needed to change societal attitudes towards female genitals and tackle the stigma around vulval conditions. What is already known about this topic? Vulval lichen sclerosus (VLS) can have a profound impact on quality of life and self-identity but is relatively underexplored from the perspective of those living with the condition. What does this study add? In-depth findings about the experiences of living with VLS including ongoing issues with timely diagnosis, learning to live with a long-term condition and the secrecy and stigma about the condition. The needs of women with symptoms of and diagnoses of VLS are not being met sufficiently by the healthcare system. What are the clinical implications of this work? Healthcare professionals should consider addressing knowledge gaps in vulval conditions including VLS to prevent delayed diagnosis and avoid the use of certain terminology which can minimize patients' experiences. Patients with vulval complaints should be examined and LS should be considered as a diagnosis. Regular follow-up would reflect its chronic nature and could provide patients with reassurance and confidence in self-management. Wider public health activities are needed to change societal attitudes and tackle stigma around vulval conditions.
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Affiliation(s)
- Susanne Arnold
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill Road, Coventry, UK
| | | | - Sophie Rees
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill Road, Coventry, UK.,Bristol Trials Centre, Bristol Medical School, University of Bristol, Bristol, UK
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16
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Tarhini A, Coleman S, El Naqa I, Sukrithan V, Aakrosh R, McCarter M, Carpten J, Colman H, Ikeguchi A, Puzanov I, Arnold S, Churchman M, Hwu P, Conejo-Garcia J, Dalton W, Weiner G, Tan A. 18P Systematic evaluation of published predictive gene expression signatures in pan-cancer patient cohorts treated with immune checkpoint inhibitors in a real-world setting. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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17
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Greenlund L, Mulford K, Shanley R, Neil E, Lawrence J, Arnold S, Olin M, Pluhar G, Venteicher A, Chen C, Ferreira C, Reynolds M, Cho L, Shoo A, Yuan J, Dusenbery K, Kleinberg L, Terezakis S, Wilke C, Sloan L. Hypofractionated vs. Conventionally Fractionated Radiotherapy for Glioblastoma: Peripheral Blood Leukocyte Comparison prior to and Following Chemoradiation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2080] [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: 10/31/2022]
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18
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Curry B, Brown R, Bhatt D, Arnold S, Lee J, Jennings L. Bentracimab demonstrates reversal of antiplatelet effects of ticagrelor: impact of hematocrit and generic versions of ticagrelor in vitro. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2720] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Recent clinical studies demonstrated bentracimab provides immediate and sustained reversal of ticagrelor's antiplatelet effects in patients undergoing surgical procedures or with bleeding. Ticagrelor reversal was assessed by VerifyNow PRUTest (VN) and other platelet function testing assays in Phase I-III studies. As decreases in hematocrit (hct) may impact the VN result, it remains to be demonstrated whether this assay can detect platelet function restoration by bentracimab in bleeding patients with low hct. Additionally, bentracimab utility against generic ticagrelors is unknown. The purpose of this study was to determine the impact of decreased hct and generic forms of ticagrelor on platelet function and subsequent reversal by bentracimab, as measured by light transmission aggregometry (LTA) and VN. The hct level in blood samples collected from healthy volunteers (n=10) was sequentially lowered to 32, 30, 25, 22.5, 20 or 15% by addition of autologous platelet-rich plasma to whole blood with matching platelet counts. Prepared samples were treated with nothing, vehicle, or ticagrelor (3.0 μg/mL) followed by treatment with bentracimab (1.2 mg/mL). In a separate study, blood collected from healthy volunteers (n=10) was treated with nothing, vehicle, ticagrelor or generic ticagrelors (3.0 and 5.6 μg/mL; mean and peak plasma levels in the Phase 1 trial) prior to addition of bentracimab (0, 0.6, 1.2, 1.8 and 2.4 mg/mL; below the reported minimum to peak plasma level) to demonstrate a dose response. Reversal was assessed by either ADP-mediated LTA or VN or both assays. Results show a decrease in hct to <30% significantly increased the PRU in untreated samples (p<0.05). Ticagrelor treatment significantly decreased the PRU in all hct groups (p<0.0001). When normalized to each donor's baseline PRU values, bentracimab reversed the ticagrelor effects within 10-min, restoring the PRU value to 54–73% for all hct groups. PRU values were further restored to 85–93% of baseline PRU after 1-hr treatment. The PRU inhibition for both 10-min and 1-hr treatments were not significantly different across the hct groups, except for the 10-min treatment in the 15% hct group vs. unadjusted hct group (p<0.05), suggesting equivalent reversal by bentracimab across the hct range. In the second study, treatment with generic ticagrelor demonstrated significant platelet inhibition and was comparable to standard ticagrelor. Bentracimab (>0.6 mg/mL) immediately restored platelet function after ticagrelor treatment to 80–100% of baseline using the VN test. LTA data demonstrated similar results to VN, but as expected, reversal was less robust with 5.6 μg/mL ticagrelor + 0.6 mg/mL bentracimab combination (mean 55% of baseline values). Collectively, these data suggest the VN test can effectively measure the antiplatelet effects of ticagrelor and subsequent reversal, even at low hct, and bentracimab is also capable of reversing the antiplatelet effects of generic forms of ticagrelor.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): PhaseBio Pharmaceuticals, Inc
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Affiliation(s)
- B Curry
- MLM Medical Labs , Memphis , United States of America
| | - R Brown
- MLM Medical Labs , Memphis , United States of America
| | - D Bhatt
- Brigham and Women'S Hospital, Harvard Medical School , Boston , United States of America
| | - S Arnold
- PhaseBio Pharmaceuticals, Inc , Malvern , United States of America
| | - J Lee
- PhaseBio Pharmaceuticals, Inc , Malvern , United States of America
| | - L Jennings
- MLM Medical Labs , Memphis , United States of America
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Stojanovska V, Arnold S, Bauer M, Voss H, Fest S, Zenclussen AC. Characterization of Three-Dimensional Trophoblast Spheroids: An Alternative Model to Study the Physiological Properties of the Placental Unit. Cells 2022; 11:cells11182884. [PMID: 36139458 PMCID: PMC9497053 DOI: 10.3390/cells11182884] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
It was postulated that 3D cell culture models more accurately reflect the complex tissue physiology and morphology in comparison to 2D cell monolayers. Currently, there is a shortage of well-characterized and easily maintainable high-throughput experimental models of the human placenta. Here, we characterized three different 3D cultures (e.g., spheroids) derived from trophoblast cell lines and studied their functionality in comparison to primary fetal trophoblasts and placental tissue. The spheroid growth rates of JEG3, BeWo and HTR8/SVneo cell lines were similar among each other and were significantly larger in comparison to primary trophoblast spheroids. All spheroids exhibited migratory properties and shortest distances were registered for JEG3 spheroids. Even though all spheroids displayed invasive capabilities, only the invasive features of HTR8/SVneo spheroids resulted in specific branching. This was in agreement with the invasive properties of the spheroids obtained from primary trophoblasts. Human chorionic gonadotropin production was highest in JEG3 spheroids and only increased when stimulated with cAMP and forskolin in BeWo, but not HTR8/SVneo spheroids. The gene expression analysis confirmed that 3D trophoblast cell cultures and especially HTR8/SVneo spheroids showed considerable similarities with the gene expression profile of primary placental tissue. This study offers a broad characterization of 3D trophoblast spheroids that, in turn, can help in selecting the best model depending on the scientific question that needs to be answered.
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Affiliation(s)
- Violeta Stojanovska
- Department of Environmental Immunology, Helmholtz Center for Environmental Research, 04318 Leipzig, Germany
- Correspondence:
| | - Susanne Arnold
- Department of Environmental Immunology, Helmholtz Center for Environmental Research, 04318 Leipzig, Germany
| | - Mario Bauer
- Department of Environmental Immunology, Helmholtz Center for Environmental Research, 04318 Leipzig, Germany
| | - Hermann Voss
- Department of Obstetrics and Gynecology, Städtisches Klinikum Dessau, Academic Hospital of University Brandenburg, 06847 Dessau-Rosslau, Germany
| | - Stefan Fest
- Department of Environmental Immunology, Helmholtz Center for Environmental Research, 04318 Leipzig, Germany
- Department of Pediatrics, Städtisches Klinikum Dessau, Academic Hospital of University Brandenburg, 06847 Dessau-Rosslau, Germany
| | - Ana Claudia Zenclussen
- Department of Environmental Immunology, Helmholtz Center for Environmental Research, 04318 Leipzig, Germany
- Saxonian Incubator for Translational Research, University of Leipzig, 04103 Leipzig, Germany
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20
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Bhatia A, Chen Z, Bruce J, Steuer C, Zandberg D, Riess J, Mitchell D, Davis T, Patel M, Kaur V, Arnold S, Owonikoko T. 656MO Phase I study of M6620 (VX-970, berzosertib) in combination with cisplatin and XRT in patients with locally advanced head and neck squamous cell carcinoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.780] [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: 11/30/2022] Open
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21
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Li Y, Xiao X, Li J, Byun J, Cheng C, Bossé Y, McKay J, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold S, Goodman G, Field JK, Davies MPA, Shete SS, Le Marchand L, Melander O, Brunnström H, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Shen H, Sun R, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Teare DM, Hong YC, Lazarus P, Schabath MB, Aldrich MC, Schwartz AG, Gorlov I, Purrington K, Yang P, Liu Y, Han Y, Bailey-Wilson JE, Pinney SM, Mandal D, Willey JC, Gaba C, Brennan P, Amos CI. Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk. Hum Mol Genet 2022; 31:2831-2843. [PMID: 35138370 PMCID: PMC9402242 DOI: 10.1093/hmg/ddac030] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 01/14/2022] [Accepted: 01/31/2022] [Indexed: 01/12/2023] Open
Abstract
Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency < 0.05), rs17662871 [odds ratio (OR) = 0.71, P = 4.29×10-8); rs79942605 (OR = 2.17, P = 2.81×10-8) and rs208908 (OR = 0.70, P = 4.54×10-8) were identified with different risk effect of lung cancer between men and women. Further expression quantitative trait loci and functional annotation analysis suggested rs208908 affects lung cancer risk through differential regulation of Coxsackie virus and adenovirus receptor gene expression in lung tissues between men and women. Our study is one of the first studies to provide novel insights about the genetic and molecular basis for sex disparity in lung cancer development.
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Affiliation(s)
- Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jianrong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City G1V 4G5, Canada
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon 69372, France
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA
| | - Stephen Lam
- Department of Integrative Oncology, University of British Columbia, Vancouver, BC V5Z 1L3, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias 33003, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen 2600, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2177, Denmark
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon 69372, France
| | - Angela Risch
- Thoraxklinik at University Hospital Heidelberg, Heidelberg 69126, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg 69120, Germany
- University of Salzburg and Cancer Cluster Salzburg, 5020, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, 37099, Germany
| | - H-Erich Wichmann
- Institute of Medical Statistics and Epidemiology, Technical University Munich, 80333, Germany
| | - David C Christiani
- Departments of Environmental Health and Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa 3436212, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, Kentucky 40536, USA
| | - Gary Goodman
- Swedish Cancer Institute, Seattle, WA 98104, USA
| | - John K Field
- Institute of Translational Medicine, University of Liverpool, Liverpool L69 7BE, United Kingdom
| | - Michael P A Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool L69 7BE, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas, M.D. Anderson Cancer Center, Houston, TX 77030, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Olle Melander
- Faculty of Medicine, Lund University, Lund 22184, Sweden
| | | | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, CA ON, M5G 2C1, Canada
| | - Rayjean J Hung
- Luenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto ON, M5G 1X5, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto ON, M5T 3M7, Canada
| | - Angeline S Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, NH 03755, USA
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, P.R. China
| | - Ryan Sun
- Department of Biostatistics, The University of Texas, M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå 901 87, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå 901 87, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20850, USA
| | - Dawn M Teare
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington 99202, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center Nashville, TN 37232, USA
| | - Ann G Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA
- Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Ping Yang
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinics Rochester, MN, 55905, USA
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Susan M Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - James C Willey
- College of Medicine and Life Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Colette Gaba
- The University of Toledo College of Medicine, Toledo, OH 43614, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon 69372, France
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
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22
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Brischigliaro M, Cabrera‐Orefice A, Sturlese M, Elurbe DM, Frigo E, Fernandez‐Vizarra E, Moro S, Huynen MA, Arnold S, Viscomi C, Zeviani M. CG7630 is the
Drosophila melanogaster
homolog of the cytochrome
c
oxidase subunit COX7B. EMBO Rep 2022; 23:e54825. [PMID: 35699132 PMCID: PMC9346487 DOI: 10.15252/embr.202254825] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/16/2022] [Accepted: 05/27/2022] [Indexed: 11/24/2022] Open
Abstract
The mitochondrial respiratory chain (MRC) is composed of four multiheteromeric enzyme complexes. According to the endosymbiotic origin of mitochondria, eukaryotic MRC derives from ancestral proteobacterial respiratory structures consisting of a minimal set of complexes formed by a few subunits associated with redox prosthetic groups. These enzymes, which are the “core” redox centers of respiration, acquired additional subunits, and increased their complexity throughout evolution. Cytochrome c oxidase (COX), the terminal component of MRC, has a highly interspecific heterogeneous composition. Mammalian COX consists of 14 different polypeptides, of which COX7B is considered the evolutionarily youngest subunit. We applied proteomic, biochemical, and genetic approaches to investigate the COX composition in the invertebrate model Drosophila melanogaster. We identified and characterized a novel subunit which is widely different in amino acid sequence, but similar in secondary and tertiary structures to COX7B, and provided evidence that this object is in fact replacing the latter subunit in virtually all protostome invertebrates. These results demonstrate that although individual structures may differ the composition of COX is functionally conserved between vertebrate and invertebrate species.
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Affiliation(s)
| | - Alfredo Cabrera‐Orefice
- Radboud Institute for Molecular Life Sciences Radboud University Medical Center Nijmegen The Netherlands
| | - Mattia Sturlese
- Molecular Modeling Section Department of Pharmaceutical and Pharmacological Sciences University of Padova Padova Italy
| | - Dei M Elurbe
- Centre for Molecular and Biomolecular Informatics Radboud University Medical Center Nijmegen The Netherlands
| | - Elena Frigo
- Department of Biomedical Sciences University of Padova Padova Italy
| | - Erika Fernandez‐Vizarra
- Department of Biomedical Sciences University of Padova Padova Italy
- Veneto Institute of Molecular Medicine Padova Italy
| | - Stefano Moro
- Molecular Modeling Section Department of Pharmaceutical and Pharmacological Sciences University of Padova Padova Italy
| | - Martijn A Huynen
- Centre for Molecular and Biomolecular Informatics Radboud University Medical Center Nijmegen The Netherlands
| | - Susanne Arnold
- Radboud Institute for Molecular Life Sciences Radboud University Medical Center Nijmegen The Netherlands
- Cologne Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD) University of Cologne Cologne Germany
| | - Carlo Viscomi
- Department of Biomedical Sciences University of Padova Padova Italy
| | - Massimo Zeviani
- Veneto Institute of Molecular Medicine Padova Italy
- Department of Neurosciences University of Padova Padova Italy
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23
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Byun J, Han Y, Li Y, Xia J, Long E, Choi J, Xiao X, Zhu M, Zhou W, Sun R, Bossé Y, Song Z, Schwartz A, Lusk C, Rafnar T, Stefansson K, Zhang T, Zhao W, Pettit RW, Liu Y, Li X, Zhou H, Walsh KM, Gorlov I, Gorlova O, Zhu D, Rosenberg SM, Pinney S, Bailey-Wilson JE, Mandal D, de Andrade M, Gaba C, Willey JC, You M, Anderson M, Wiencke JK, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojeson S, Brenner H, Landi MT, Chanock SJ, Johansson M, Muley T, Risch A, Wichmann HE, Bickeböller H, Christiani DC, Rennert G, Arnold S, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Andrew AS, Kiemeney LA, Shen H, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Patel A, Lan Q, Rothman N, Taylor F, Kachuri L, Witte JS, Sakoda LC, Spitz M, Brennan P, Lin X, McKay J, Hung RJ, Amos CI. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer. Nat Genet 2022; 54:1167-1177. [PMID: 35915169 PMCID: PMC9373844 DOI: 10.1038/s41588-022-01115-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [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: 10/08/2020] [Accepted: 05/27/2022] [Indexed: 02/03/2023]
Abstract
To identify new susceptibility loci to lung cancer among diverse populations, we performed cross-ancestry genome-wide association studies in European, East Asian and African populations and discovered five loci that have not been previously reported. We replicated 26 signals and identified 10 new lead associations from previously reported loci. Rare-variant associations tended to be specific to populations, but even common-variant associations influencing smoking behavior, such as those with CHRNA5 and CYP2A6, showed population specificity. Fine-mapping and expression quantitative trait locus colocalization nominated several candidate variants and susceptibility genes such as IRF4 and FUBP1. DNA damage assays of prioritized genes in lung fibroblasts indicated that a subset of these genes, including the pleiotropic gene IRF4, potentially exert effects by promoting endogenous DNA damage.
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Affiliation(s)
- Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Jun Xia
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | - Wen Zhou
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Zhuoyi Song
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Ann Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | - Christine Lusk
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | | | | | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wei Zhao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rowland W Pettit
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Xihao Li
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Hufeng Zhou
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Dakai Zhu
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Susan M Rosenberg
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Susan Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | | | - Colette Gaba
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - James C Willey
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - Ming You
- Center for Cancer Prevention, Houston Methodist Research Institute, Houston, TX, USA
| | | | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephan Lam
- Department of Integrative Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Stig Bojeson
- Department of Clinical Biochemistry, Herlev Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Thomas Muley
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Angela Risch
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - David C Christiani
- Department of Epidemiology, Harvard T.H.Chan School of Public Health, Boston, MA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, KY, USA
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Sanjay Shete
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, NH, USA
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alpa Patel
- American Cancer Society, Atlanta, GA, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Margaret Spitz
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Xihong Lin
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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24
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Zhang R, Shen S, Wei Y, Zhu Y, Li Y, Chen J, Guan J, Pan Z, Wang Y, Zhu M, Xie J, Xiao X, Zhu D, Li Y, Albanes D, Landi MT, Caporaso NE, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Wichmann HE, Rennert G, Arnold S, Brennan P, McKay JD, Field JK, Shete SS, Le Marchand L, Liu G, Andrew AS, Kiemeney LA, Zienolddiny-Narui S, Behndig A, Johansson M, Cox A, Lazarus P, Schabath MB, Aldrich MC, Dai J, Ma H, Zhao Y, Hu Z, Hung RJ, Amos CI, Shen H, Chen F, Christiani DC. A Large-Scale Genome-Wide Gene-Gene Interaction Study of Lung Cancer Susceptibility in Europeans With a Trans-Ethnic Validation in Asians. J Thorac Oncol 2022; 17:974-990. [PMID: 35500836 PMCID: PMC9512697 DOI: 10.1016/j.jtho.2022.04.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [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: 10/16/2021] [Revised: 04/13/2022] [Accepted: 04/20/2022] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Although genome-wide association studies have been conducted to investigate genetic variation of lung tumorigenesis, little is known about gene-gene (G × G) interactions that may influence the risk of non-small cell lung cancer (NSCLC). METHODS Leveraging a total of 445,221 European-descent participants from the International Lung Cancer Consortium OncoArray project, Transdisciplinary Research in Cancer of the Lung and UK Biobank, we performed a large-scale genome-wide G × G interaction study on European NSCLC risk by a series of analyses. First, we used BiForce to evaluate and rank more than 58 billion G × G interactions from 340,958 single-nucleotide polymorphisms (SNPs). Then, the top interactions were further tested by demographically adjusted logistic regression models. Finally, we used the selected interactions to build lung cancer screening models of NSCLC, separately, for never and ever smokers. RESULTS With the Bonferroni correction, we identified eight statistically significant pairs of SNPs, which predominantly appeared in the 6p21.32 and 5p15.33 regions (e.g., rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.17, p = 6.57 × 10-13; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.17, p = 2.43 × 10-13; rs2858859HLA-DQA1 and rs9275572HLA-DQA2, ORinteraction = 1.15, p = 2.84 × 10-13; rs2853668TERT and rs62329694CLPTM1L, ORinteraction = 0.73, p = 2.70 × 10-13). Notably, even with much genetic heterogeneity across ethnicities, three pairs of SNPs in the 6p21.32 region identified from the European-ancestry population remained significant among an Asian population from the Nanjing Medical University Global Screening Array project (rs521828C6orf10 and rs204999PRRT1, ORinteraction = 1.13, p = 0.008; rs3135369BTNL2 and rs2858859HLA-DQA1, ORinteraction = 1.11, p = 5.23 × 10-4; rs3135369BTNL2 and rs9271300HLA-DQA1, ORinteraction = 0.89, p = 0.006). The interaction-empowered polygenetic risk score that integrated classical polygenetic risk score and G × G information score was remarkable in lung cancer risk stratification. CONCLUSIONS Important G × G interactions were identified and enriched in the 5p15.33 and 6p21.32 regions, which may enhance lung cancer screening models.
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Affiliation(s)
- Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Sipeng Shen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yongyue Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Ying Zhu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yi Li
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Jiajin Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Jinxing Guan
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Zoucheng Pan
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yuzhuo Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Junxing Xie
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Xiangjun Xiao
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Dakai Zhu
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Yafang Li
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen Lam
- Department of Medicine, British Columbia Cancer Agency, University of British Columbia, Vancouver, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Angela Risch
- Department of Biosciences and Cancer Cluster Salzburg, University of Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
| | - Gadi Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Carmel, Haifa, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James D McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Department of Community and Family Medicine, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Lambertus A Kiemeney
- Department for Health Evidence, Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Annelie Behndig
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Angela Cox
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, United Kingdom
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Thoracic Surgery and Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Zhibin Hu
- China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- The Institute for Clinical and Translational Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Hongbing Shen
- China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; China International Cooperation Center (CICC) for Environment and Human Health, Nanjing Medical University, Nanjing, People's Republic of China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, People's Republic of China.
| | - David C Christiani
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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25
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Tassinari CJ, Higham R, Smith IL, Arnold S, Mujica-Mota R, Metcalfe A, Simpson H, Murray D, McGonagle DG, Sharma H, Hamilton TW, Ellard DR, Fernandez C, Reynolds C, Harwood P, Croft J, Stocken DD, Pandit H. Clinical and cost-effectiveness of Knee Arthroplasty versus Joint Distraction for Osteoarthritis (KARDS): protocol for a multicentre, phase III, randomised control trial. BMJ Open 2022; 12:e062721. [PMID: 35772819 PMCID: PMC9247693 DOI: 10.1136/bmjopen-2022-062721] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Knee replacement (KR) is a clinically proven procedure typically offered to patients with severe knee osteoarthritis (OA) to relieve pain and improve quality of life. However, artificial joints fail over time, requiring revision associated with higher mortality and inferior outcomes. With more young people presenting with knee OA and increasing life expectancy, there is an unmet need to postpone time to first KR. Knee joint distraction (KJD), the practice of using external fixators to open up knee joint space, is proposed as potentially effective to preserve the joint following initial studies in the Netherlands, however, has not been researched within an NHS setting. The KARDS trial will investigate whether KJD is non-inferior to KR in terms of patient-reported postoperative pain 12 months post-surgery. METHODS AND ANALYSIS KARDS is a phase III, multicentre, pragmatic, open-label, individually randomised controlled non-inferiority trial comparing KJD with KR in patients with severe knee OA, employing a hybrid-expertise design, with internal pilot phase and process evaluation. 344 participants will be randomised (1:1) to KJD or KR. The primary outcome measure is the Knee Injury and Osteoarthritis Outcomes Score (KOOS) pain domain score at 12 months post-operation. Secondary outcome measures include patient-reported overall KOOS, Pain Visual Analogue Scale and Oxford Knee Scores, knee function assessments, joint space width, complications and further interventions over 24 months post-operation. Per patient cost difference between KR and KJD and cost per quality-adjusted life year (QALY) gained over 24 months will be estimated within trial, and incremental cost per QALY gained over 20 years by KJD relative to KR predicted using decision analytic modelling. ETHICS AND DISSEMINATION Ethics approval was obtained from the Research Ethics Committee (REC) and Health Research Authority (HRA). Trial results will be disseminated at clinical conferences, through relevant patient groups and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER ISRCTN14879004; recruitment opened April 2021.
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Affiliation(s)
- Cerys Joyce Tassinari
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Ruchi Higham
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Isabelle Louise Smith
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Susanne Arnold
- Warwick Clinical Trials Unit, University of Warwick Warwick Medical School, Coventry, UK
| | | | - Andrew Metcalfe
- Warwick Clinical Trials Unit, University of Warwick Warwick Medical School, Coventry, UK
- Trauma and Orthopaedics, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Hamish Simpson
- Department of Orthopaedics and Trauma, University of Edinburgh, Edinburgh, UK
| | - David Murray
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
| | - Dennis G McGonagle
- Chapel Allerton Hospital, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, NIHR Leeds Biomedical Research Centre, Leeds, UK
| | - Hemant Sharma
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull, Kingston upon Hull, UK
| | - Thomas William Hamilton
- Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
| | - David R Ellard
- Warwick Clinical Trials Unit, University of Warwick Warwick Medical School, Coventry, UK
| | - Catherine Fernandez
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Catherine Reynolds
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Paul Harwood
- University of Leeds, Leeds Institute of Medical Research, Leeds, West Yorkshire, UK
| | - Julie Croft
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Deborah D Stocken
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials, University of Leeds, Leeds, UK
| | - Hemant Pandit
- Chapel Allerton Hospital, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, NIHR Leeds Biomedical Research Centre, Leeds, UK
- Chapel Allerton Hospital, Leeds, West Yorkshire, UK
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Castle J, McCorkle JR, Johnson J, Chauhan A, Ivy P, Arnold S, Carson W, Evers BM, Rychahou P, Kolesar J. Abstract 5430: Inhibition of de novo and salvage pathways for dNTP synthesis enhances sensitivity to ionizing radiation in pancreatic neuroendocrine tumor cells. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-5430] [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: The treatment of gastroenteropancreatic neuroendocrine tumors (GEP-NET) with ionizing radiation (IR) is a promising treatment modality for a disease that carries a poor prognosis. However, these tumors confer high levels of radioresistance based on their ability to repair DNA damaged by IR. Deoxynucleoside triphosphates (dNTPs) are needed for DNA repair and are produced by two pathways: de novo and salvage, which depend on ribonucleotide reductase (RNR) and deoxycytidine kinase (dCK), respectively. Ataxia telangiectasia and Rad3-related protein (ATR) activates dCK and can be targeted with inhibitors. We hypothesized that blocking both pathways for dNTP synthesis with an ATR inhibitor (ATRi) and the RNR inhibitor (RNRi), triapine, will sensitize GEP-NETs to IR in vitro.
Methods: (i) The CellTiter-Glo (Promega) luminescent cell viability assay established drug sensitivities of two pancreatic NET cell lines (BON and QGP-1) for triapine and three ATRi (AZD6738, VX-970, BAY1895344). Assays were performed with at least three replicates. Data were fit using a four-parameter log-logistic model, and IC50 values were calculated with R statistical software. (ii) Loewe synergy models were used to calculate the two-drug combination effects in both cell lines with synergy scores greater than 0 indicating synergistic effects and scores less than 0 representative of antagonistic effects. (iii) Clonogenic assays were performed and analyzed via colorimetry with sulforhodamine B to assess the effect of each drug alone and in combination with IR. (iv) Immunoblots were used to assess ATR activation following IR, RNRi, and ATRi treatments.
Results: (i) Cell viability assays showed lower IC50 values in the BON cell line compared to the QGP-1 cell line (BON cell IC50 : triapine 2.6µM ± 0.6µM, AZD6738 1.0µM ± 0.2µM, VX-970 204nM ± 20nM, BAY1895344 139nM ± 15nM; IC50 in QGP-1 cells: triapine 6.1µM ± 2.7µM, AZD6738 7.9µM ± 2.9µM, VX-970 1.7µM ± 0.5µM, BAY1895344 1.1µM ± 2.8µM). (ii) Loewe synergy models estimated the combination of BAY1895344 and triapine to be synergistic with scores greater than 0 in both cell lines (BON 9.89, p-value 4.07e-11; QGP-1 15.91, p-value 1.96e-7). (iii) Clonogenic assays showed an increase in efficacy of BAY1895344 when combined with IR in both BON (IC50 s: 150nM ± 8nM without radiation versus 18nM ± 35nM with 2Gy) and QGP-1 cells (IC50 values: 277nM ± 48nM without radiation versus 93nM ± 4nM with 2Gy). (iv) Western blot analysis showed strong activation of the ATR pathway with IR and triapine alone with subsequent inhibition by an ATRi.
Conclusion: Our findings show that treatment of GEP-NET cell lines with inhibitors that block the de novo and salvage pathways for dNTP production markedly sensitize these cells to subsequent IR. The combination of IR with both an ATRi and an RNRi has the potential to be an effective treatment modality for GEP-NETs.
Citation Format: Jennifer Castle, J. Robert McCorkle, Jeremy Johnson, Aman Chauhan, Percy Ivy, Susanne Arnold, William Carson, B. Mark Evers, Piotr Rychahou, Jill Kolesar. Inhibition of de novo and salvage pathways for dNTP synthesis enhances sensitivity to ionizing radiation in pancreatic neuroendocrine tumor cells [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 5430.
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Affiliation(s)
| | | | | | | | - Percy Ivy
- 2National Cancer Institute, Cancer Therapy Evaluation Program, Bethesda, MD
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Arnold S, Mahrhold J, Kerstein-Staehle A, Csernok E, Hellmich B, Venhoff N, Thiel J, Affeldt K, Jahnke A, Riemekasten G, Lamprecht P. POS0829 SPECTRUM OF ANCA-SPECIFICITIES IN EOSINOPHILIC GRANULOMATOSIS WITH POLYANGIITIS IN A RETROSPECTIVE MULTICENTER STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundAnti-neutrophil cytoplasmic autoantibodies specific for myeloperoxidase (MPO-ANCA) are found in 10-70% of the patients with eosinophilic granulomatosis with polyangiitis (EGPA) depending on disease activity, methodological aspects and cohort examined [1-3]. Recently, a higher prevalence of anti-pentraxin 3 (PTX3)-ANCA has been reported in EGPA compared to granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA) [4].ObjectivesTo investigate the spectrum of ANCA specificities in a multicenter cohort of patients with EGPA and identify novel ANCA antigens.MethodsWe conducted a retrospective analysis of 73 patients with EGPA treated between 2015 and 2020 in 3 tertiary referral centers. In addition to in-house ANCA testing with indirect immunofluorescence (IFT) on fixed human granulocytes and antigen-specific enzyme-linked immunosorbent assays (ELISA), ANCA specificities were determined using a cell-based assay (CBA; Euroimmun, Lübeck, Germany). Diagnosis was based on Chapel Hill consensus conference definitions, ACR- and MIRRA-criteria for EGPA. Patient characteristics and clinical manifestations were evaluated and compared based on ANCA status. Fisher`s exact test was employed for comparison of patient groups.ResultsANCA findings are summarized in Table 1. MPO- and proteinase 3 (PR3)-ANCA positive patients (13.7%) had a higher prevalence of peripheral neuropathy (70% vs. 44.4%, p = 0.0003) and glomerulonephritis (20% vs. 14.3%, not significant). MPO- and PR3-ANCA-negative patients (86.3%) had a higher prevalence of heart (10% vs. 46%, p <0.0001), central nervous system (CNS) (0% vs. 14.3%, p <0.0001) and gastrointestinal (10% vs. 22.2%, p = 0.0327) involvement. PTX3-ANCA were associated with a higher prevalence of ear-nose-throat (ENT) (100% vs. 85.3%, p <0.0001), lung (100% vs. 89.7%, p = 0.0015), gastrointestinal involvement (60% vs. 17.6%, p <0.0001) and peripheral neuropathy (100% vs. 48.5%, p <0.0001). Kidney (0% vs. 16.2%, p <0.0001) and CNS involvement (0% vs. 13.2%, p = 0.0002) occurred less frequently in PTX3-ANCA positive patients. The 2 olfactomedin 4 (OLM4)-ANCA positive patients presented with ENT, lung and kidney involvement, and polyneuropathy, respectively.Table 1.ANCA in EGPA cohort (n = 73). BPI = bactericidal permeability-increasing protein.IFT / ELISANo. of patients (%)P-ANCA11 (15.1)C-ANCA5 (6.8)MPO-ANCA8 (10.9)PR3-ANCA2 (2.7)BPI-ANCA1 (1.4)PTX3-ANCA5 (6.8)OLM4-ANCA2 (2.7)ConclusionWe report on the detection of PTX3-, BPI- and OLM4-ANCA in addition to MPO- and PR3-ANCA in EGPA. OLM4-ANCA has been reported in 2 patients with non-vasculitic inflammatory symptoms previously [5]. Herein, detection of OLM4-ANCA in EGPA is reported for the first time. Our study shows that the presence of ANCA with various specificities other than MPO and PR3 contribute to a higher prevalence of ANCA in EGPA. Moreover, clinical manifestations differ between ANCA-negative EGPA and ANCA-positive EGPA, and between patients with different ANCA-specificities.References[1]Schönermarck U, et al. Prevalence and spectrum of rheumatic diseases associated with proteinase 3-antineutrophil cytoplasmic antibodies (ANCA) and myeloperoxidase-ANCA. Rheumatology 2001;40:178-84.[2]Bremer P, et al. Getting rid of MPO-ANCA: a matter of disease subtype. Rheumatology 2013:752-4.[3]Comarmond C, et al. Eosinophilic granulomatosis with polyangiitis (Churg-Strauss): clinical characteristics and long-term followup of the 383 patients enrolled in the French Vasculitis Study Group cohort. Arthritis Rheum 2013;65:270-81.[4]Padoan R, et al. IgG anti-Pentraxin 3 antibodies are a novel biomarker of ANCA-associated vasculitis and better identify patients with eosinophilic granulomatosis with polyangiitis. J Autoimmun 2021;124:102725.[5]Amirbeagi F, et al. Olfactomedin-4 autoantibodies give unusual c-ANCA staining patterns with reactivity to a subpopulation of neutrophils. J Leukoc Biol 2015;97:181-9.Disclosure of InterestsNone declared
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Arnold S, Wallmeier P, Schubach F, Ihorst G, Aries P, Bergner R, Bremer JP, Görl N, Hellmich B, Henes J, Hoyer B, Kangowski A, Kötter I, Metzler C, Müller-Ladner U, Schaier M, Schönermark U, Thiel J, Unger L, Venhoff N, Weinmann-Menke J, Petersen J, Iking-Konert C, Lamprecht P. AB0622 The Joint Vasculitis Registry in German-speaking countries (GeVas) – subgroup analysis of 113 GPA-patients. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundGranulomatosis with polyangiitis (GPA) is the second most frequent vasculitis in Germany with an annual incidence of 34 per million and a prevalence of 210 per million [1]. GPA is characterized by its chronic course, frequent relapses, significant overall morbidity and mortality, and substantial socio-economic impact. Multiorgan involvement affecting the respiratory tract, kidney, and other organs is common. Limited variants also occur [2]. So far, prospective long-term observational data on the disease course of GPA are missing in Germany. Therefore, the Joint Vasculitis Registry in German-speaking countries (GeVas) has been established to follow the course of patients recently diagnosed with vasculitis or a change of their treatment due to a relapse (inception cohort). The GeVas registry allows long-term follow-up of a substantial cohort of vasculitis patients in a multicenter setting.ObjectivesTo present the first data on the follow-up of newly diagnosed and relapsing GPA enrolled in the GeVas registry.MethodsGeVas is a prospective, web-based, multicenter, clinician-driven registry for the documentation of organ manifestations, damage, long-term outcomes, and therapy regimens in various types of vasculitis. Recruitment started in June 2019. By January 2022, 17 centers in Germany were initiated and started enrolling patients. Meanwhile, more than 350 patients have been documented in the registry. Sites in Austria and the German-speaking cantons of Switzerland will be integrated soon [3].ResultsBy mid-October 2021, the participating centers included 113 patients with GPA. The majority of patients were PR3-ANCA positive and affected by general symptoms, ENT, lung, renal, and neurological involvement. Patients commonly received cyclophosphamide or rituximab in combination with glucocorticoids for the induction of remission. Fewer patients received methotrexate or other immunosuppressants. Patient characteristics and therapy are summarized in Table 1.Table 1.Patient characteristics (n = 113). *Unless otherwise specified.CategoryFeaturen (%)*AgeAge (years); median [range]60 [51 - 70]GenderMale61 (54.0)Female52 (46.0)Reason for inclusion in the registryNewly diagnosed vasculitis57 (51.4)Relapse56 (49.6)ANCA statusPR3-ANCA99 (87.6)MPO-ANCA4 (3.6)ANCA negative9 (7.9)Organ manifestationGeneral symptoms86 (76.1)ENT69 (61.1)Lung/chest66 (58.4)Renal35 (31.0)Cardiovascular7 (6.2)GI3 (2.7)Neurological27 (23.9)TherapyGlucocorticoid102 (90.3)Rituximab56 (49.6)Cyclophosphamide37 (32.7)Methotrexate and other immunosuppressants, respectively26 (23.0) and 19 (16.8), respectivelyConclusionHere, we present the first interim analysis of the GeVas registry. Clinical manifestations of GPA reported herein show less frequent renal involvement in comparison with a recent report from another European registry (POLVAS) and an UK study [4, 5]. This is potentially related to the predominance of recruiting rheumatology centers thus far. By contrast, respiratory tract involvement is more frequent and PR3-ANCA less common in Japan [5]. Further data are prospectively documented and a follow up analysis is in progress.References[1]Hellmich B, et al. New insights into the epidemiology of ANCA-associated vasculitides in Germany: results from a claims data study. Rheumatology 2021;60:4868-73.[2]Kitching AR, et al. ANCA-associated vasculitis. Nat Rev Dis Primers 2020;6:71.[3]Iking-Konert C, et al. The Joint Vasculitis Registry in German-speaking countries (GeVas) – a prospective, multicenter registry for the follow-up of long-term outcomes in vasculitis. BMC Rheumatol 2021;5:40.[4]Wójcik K, et al. Clinical characteristics of Polish patients with ANCA-asscoiated vasculitides – retrospective analysis of POLVAS registry. Clin Rheumatol 2019;38:2553-63.[5]Furuta S, et al. Comparison of the phenotype and outcome of granulomatosis with polyangiitis between UK and Japanese cohorts. J Rheumatol 2017;44:216-22.AcknowledgementsGeVas was supported by unrestricted grants by: DGRh, John Grube Foundation, Vifor and Roche PharmaDisclosure of InterestsSabrina Arnold: None declared, Pia Wallmeier: None declared, Fabian Schubach: None declared, Gabriele Ihorst: None declared, Peer Aries: None declared, Raoul Bergner Consultant of: VIFOR, Jan Philip Bremer: None declared, Norman Görl: None declared, Bernhard Hellmich: None declared, Jörg Henes: None declared, Bimba Hoyer: None declared, Antje Kangowski: None declared, Ina Kötter: None declared, Claudia Metzler: None declared, Ulf Müller-Ladner: None declared, Matthias Schaier: None declared, Ulf Schönermark: None declared, Jens Thiel: None declared, Leonore Unger: None declared, Nils Venhoff Speakers bureau: Roche and Vifor: speaker honoraries, Consultant of: Roche and Vifor: advisory boards, Grant/research support from: John-Grube Research Award 2021, Julia Weinmann-Menke: None declared, Jana Petersen: None declared, Christof Iking-Konert Speakers bureau: Lecture fees from: Chugai, GSK, Roche, and Vifor, Consultant of: Consulting fees from: Chugai, GSK, Roche, and Vifor, Grant/research support from: Research grants for GeVas: Roche, Vifor, DGRh, John Grube Foundation, Peter Lamprecht Speakers bureau: Chugai, GSK, Roche, and Vifor, Consultant of: Chugai, GSK, Roche, and Vifor, Grant/research support from: DGRh, John Grube Foundation, Roche, and Vifor
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Wallmeier P, Arnold S, Schubach F, Ihorst G, Aries P, Bergner R, Bremer JP, Görl N, Hellmich B, Henes J, Hoyer B, Kangowski A, Kötter I, Magnus T, Metzler C, Müller-Ladner U, Schaier M, Schönermark U, Thiel J, Unger L, Venhoff N, Weinmann-Menke J, Petersen J, Lamprecht P, Iking-Konert C. POS0800 THE JOINT VASCULITIS REGISTRY IN GERMAN-SPEAKING COUNTRIES (GeVas) – SUBGROUP ANALYSIS OF 131 GCA-PATIENTS REFERENCES:. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundThe most frequent form of vasculitis in elderly people is giant cell arteritis (GCA) with an annual incidence rate less than 10 per 100,000 persons over the age of 50. Like most vasculitides, GCA is characterized by chronicity and relapses, leading to significant overall morbidity and higher mortality in a subset of patients with aortic involvement and dissection. Most studies carried out so far have been retrospective, used monocentric study designs and small patient cohorts. Therefore, the Joint Vasculitis Registry in German-speaking countries (GeVas) has been established to record patients, who have been recently diagnosed with vasculitis or who have changed their treatment due to a relapse (inception cohort). The GeVas-Registry allows a long-term follow-up of a substantial cohort of vasculitis patients in a prospective and multicenter manner.ObjectivesTo describe the subgroup of GCA and its characteristics within the GeVas registry.MethodsGeVas is a prospective, web-based, multicenter, clinician-driven registry for the documentation of organ manifestations, damage, long-term outcomes, and therapy regimens in various types of vasculitis. Recruitment started in June 2019. By January 2022, 17 centers in Germany were initiated and have begun enrolling patients. Meanwhile, more than 350 patients have been documented in the registry. Sites in Austria and the German-speaking cantons of Switzerland will be integrated soon (1).ResultsBy mid-October 2021, the participating centers recruited 131 GCA patients into the registry. 21.7% of patients (n=28) were enrolled in the registry due to relapse, and 78.3% (n=101) due to a first-time diagnosis. In accordance with long-standing epidemiology data, the majority of patients (67,2%), were female (n=88), and 32.8% (n=43) were male. Mean age was 74 years (max. 92y, min. 52y). The most frequently recorded organ manifestations in GCA patients addressed cranial and ophthalmic symptoms, and the cardiovascular system. However, vascular lung/chest involvement was also observed in 3% of cases (n=4). Out of the 131 patients, 97.7% (n=128) received immunosuppressive therapy, three refused to take any medication. An equal number of patients were treated with glucocorticoid (GC) therapy. While about two equal parts were treated by stable long term oral GC therapy (47,7%, n=62) or by i.v. pulse therapy followed by tapering (49,2%, n=64), only about 2.3% (n=3) were treated by oral GC therapy with intermittent i.v. pulses. 48.5% (n=63) of patients received tocilizumab as additional immunosuppressive therapy, 19.2% (n=25) methotrexate, and 18.5% (n=24) cyclophosphamide i.v. pulses.ConclusionIn June 2019, we successfully established the prospective multicenter vasculitis registry GeVAS. It describes the first systematically recorded prospective GCA cohort in German-speaking countries. Its characteristics correspond to those that can be expected from the literature, with some unexpected finding e.g. the high proportion of patients treated with cyclosphosphamid, probably reflecting a sicker patient population with e.g. aortic or central nervous involvement. After 2.5 years of follow-up documentation, the first long-term results will be systematically evaluated and interpreted. The newly acquired data on disease manifestation, diagnostics and therapy regimens will provide important insights into the treatment of GCA patients in Germany and may generate further research goals.ReferencesTrial registration: German Clinical Trials Register (Deutsches Register Klinischer Studien): DRKS00011866. Registered 10 May 2019. 3[1]C Iking-Konert; P Wallmeier; S Arnold; S Adler; K de Groot; B Hellmich; B Hoyer; K Holl-Ulrich; Ihorst; M Kaufmann; I Kötter; U Müller-Ladner; T Magnus; J. Rech; H. Schulze-Koops; N. Venhoff; T. Wiech; P. Villiger; F. Schubach; P. Lamprecht. The Joint Vasculitis Registry in German-speaking countries (GeVas) – a prospective, multicenter registry for the follow-up of long-term outcomes in vasculitis. BMC Rheumatol. 2021 Jul 31;5(1):40. doi: 10.1186/s41927-021-00206-2.AcknowledgementsGeVas was supported by unrestricted grants by: DGRh, John Grube Foundation, Vifor and Roche PharmaDisclosure of InterestsPia Wallmeier: None declared, Sabrina Arnold: None declared, Fabian Schubach: None declared, Gabriele Ihorst: None declared, Peer Aries: None declared, Raoul Bergner Consultant of: Advisory Board VIFOR, Grant/research support from: John-Grube Research Award 2021, Jan Philip Bremer: None declared, Norman Görl: None declared, Bernhard Hellmich: None declared, Jörg Henes: None declared, Bimba Hoyer: None declared, Antje Kangowski: None declared, Ina Kötter: None declared, Tim Magnus: None declared, Claudia Metzler: None declared, Ulf Müller-Ladner: None declared, Matthias Schaier: None declared, Ulf Schönermark: None declared, Jens Thiel: None declared, Leonore Unger: None declared, Nils Venhoff Speakers bureau: Roche and Vifor, Consultant of: Roche and Vifor, Grant/research support from: John-Grube Research Award 2021, Julia Weinmann-Menke: None declared, Jana Petersen: None declared, Peter Lamprecht Speakers bureau: Lecture fees from: Chugai, GSK, Roche, Consultant of: Consulting & lecture fees from: Chugai, GSK, Roche, and Vifor., Grant/research support from: Research grants for GeVas: DGRh, John Grube Foundation, Roche, and Vifor, Christof Iking-Konert Speakers bureau: lecture fees from: Chugai, GSK, Roche, and Vifor., Consultant of: Consulting fees from: Chugai, GSK, Roche, and Vifor., Grant/research support from: Research grants for GeVas: DGRh, John Grube Foundation, Roche, and Vifor;
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Brooke-Wavell K, Skelton DA, Barker KL, Clark EM, De Biase S, Arnold S, Paskins Z, Robinson KR, Lewis RM, Tobias JH, Ward KA, Whitney J, Leyland S. Strong, steady and straight: UK consensus statement on physical activity and exercise for osteoporosis. Br J Sports Med 2022; 56:bjsports-2021-104634. [PMID: 35577538 PMCID: PMC9304091 DOI: 10.1136/bjsports-2021-104634] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [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] [Accepted: 03/28/2022] [Indexed: 12/11/2022]
Abstract
Exercise and physical activity can improve bone strength and the risk of falls, which may offer benefits in the prevention and management of osteoporosis. However, uncertainty about the types of exercise that are safe and effective instigates lack of confidence in people with osteoporosis and health professionals. Existing guidelines leave some questions unresolved. This consensus statement aimed to determine the physical activity and exercise needed to optimise bone strength, reduce fall and fracture risk, improve posture and manage vertebral fracture symptoms, while minimising potential risks in people with osteoporosis. The scope of this statement was developed following stakeholder consultation. Meta-analyses were reviewed and where evidence was lacking, individual studies or expert opinion were used to develop recommendations. A multidisciplinary expert group reviewed evidence to make recommendations, by consensus when evidence was not available. Key recommendations are that people with osteoporosis should undertake (1) resistance and impact exercise to maximise bone strength; (2) activities to improve strength and balance to reduce falls; (3) spinal extension exercise to improve posture and potentially reduce risk of falls and vertebral fractures. For safety, we recommend avoiding postures involving a high degree of spinal flexion during exercise or daily life. People with vertebral fracture or multiple low trauma fractures should usually exercise only up to an impact equivalent to brisk walking. Those at risk of falls should start with targeted strength and balance training. Vertebral fracture symptoms may benefit from exercise to reduce pain, improve mobility and quality of life, ideally with specialist advice to encourage return to normal activities. Everyone with osteoporosis may benefit from guidance on adapting postures and movements. There is little evidence that physical activity is associated with significant harm, and the benefits, in general, outweigh the risks.
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Affiliation(s)
- Katherine Brooke-Wavell
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Dawn A Skelton
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Karen L Barker
- Physiotherapy Department, Nuffield Orthopaedic Centre, University of Oxford, Oxford, UK
| | - Emma M Clark
- Bristol Medical School, University of Bristol, Bristol, UK
- North Bristol NHS Trust, Bristol, UK
| | - Sarah De Biase
- Older People's Mental Health Service, Bradford District Care NHS Foundation Trust, Bradford, UK
- AGILE, Chartered Society of Physiotherapy, London, UK
| | - Susanne Arnold
- AGILE, Chartered Society of Physiotherapy, London, UK
- Warwick Clinical Trials Unit, University of Warwick, Coventry, UK
| | - Zoe Paskins
- Primary Care Versus Arthritis Centre, Keele University, Keele, UK
| | - Katie R Robinson
- Academic Unit of Injury, Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | | | - Jonathan H Tobias
- Bristol Medical School, University of Bristol, Bristol, UK
- North Bristol NHS Trust, Bristol, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Julie Whitney
- Department of Physiotherapy, King's College London, London, UK
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Arnold S, Braun HP. The complexome profiling approach for direct biochemical analysis of multiprotein assemblies. Biochim Biophys Acta Bioenerg 2022; 1863:148522. [PMID: 34902309 DOI: 10.1016/j.bbabio.2021.148522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Susanne Arnold
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.
| | - Hans-Peter Braun
- Plant Proteomics, Institute of Plant Genetics, Leibniz Universität Hannover, Herrenhäuser Str. 2, 30419 Hannover, Germany.
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Spiegel J, Arnold S, Salbach H, Gotti EG, Pfeiffer E, Lehmkuhl U, Correll CU, Jaite C. Emotional abuse interacts with borderline personality in adolescent inpatients with binge-purging eating disorders. Eat Weight Disord 2022; 27:131-138. [PMID: 33677816 PMCID: PMC8860808 DOI: 10.1007/s40519-021-01142-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 02/01/2021] [Indexed: 12/01/2022] Open
Abstract
PURPOSE Childhood abuse is associated with an increased risk of developing eating disorders (EDs) as well as personality disorders (PDs). However, their interaction is still uncertain, particularly in adolescents. This study investigates the correlations between childhood emotional neglect (CEN), childhood emotional abuse (CEA), and obsessive-compulsive and borderline personality styles in female adolescent inpatients with eating disorders (EDs). METHODS One hundred and twenty-eight inpatients (ages 14-18) were assessed, 54 were diagnosed with restricting-type anorexia nervosa (AN-R) and 33 with a binge-purging ED [BP-ED; comprising patients with binge-purging type anorexia nervosa (AN-BP), n = 15, and bulimia nervosa (BN), n = 18]. Fifty healthy participants made up the control group (CG). CEN and CEA were assessed with the Childhood Trauma Questionnaire, while the Personality Style and Disorder Inventory was implemented to determine personality styles. RESULTS A MANOVA revealed a significant main effect of CEA on spontaneous-borderline personality style [F(8,119) = 17.1, p < 0.001, η2 = 0.126], as well as a main effect of ED group on spontaneous-borderline [F(2,119) = 3.1, p = 0.048, η2 = 0.050]. A significant interaction between ED group, CEA, and spontaneous-borderline was found [F(2,119) = 3.5, p = 0.034, η2 = 0.055] with BP-ED showing significantly higher scores in CEA (9.3 ± 4.0) and in spontaneous-borderline (14.2 ± 6.2). CONCLUSIONS Considering CEA and borderline personality style in adolescent inpatients with BN or AN-BP may help improve the understanding of the etiology and maintenance of BP-ED and provide more effective treatment targets. LEVEL OF EVIDENCE Level III, case-control analytic study.
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Affiliation(s)
- J Spiegel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Vivantes Hospital Urban, Berlin, Germany
| | - S Arnold
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - H Salbach
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany
| | - E G Gotti
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - E Pfeiffer
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - U Lehmkuhl
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - C U Correll
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - C Jaite
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany.
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Bradley DT, Murphy S, McWilliams P, Arnold S, Lavery S, Murphy J, de Lusignan S, Hobbs R, Tsang RSM, Akbari A, Torabi F, Beggs J, Chuter A, Shi T, Vasileiou E, Robertson C, Sheikh A, Reid H, O'Reilly D. Investigating the association between COVID-19 vaccination and care home outbreak frequency and duration. Public Health 2022; 203:110-115. [PMID: 35038629 PMCID: PMC8683272 DOI: 10.1016/j.puhe.2021.12.010] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES At the end of 2020, many countries commenced a vaccination programme against SARS-CoV-2. Public health authorities aim to prevent and interrupt outbreaks of infectious disease in social care settings. We aimed to investigate the association between the introduction of the vaccination programme and the frequency and duration of COVID-19 outbreaks in Northern Ireland (NI). STUDY DESIGN We undertook an ecological study using routinely available national data. METHODS We used Poisson regression to measure the relationship between the number of RT-PCR confirmed COVID-19 outbreaks in care homes, and as a measure of community COVID-19 prevalence, the Office for National Statistics COVID-19 Infection Survey estimated the number of people testing positive for COVID-19 in NI. We estimated the change in this relationship and estimated the expected number of care home outbreaks in the absence of the vaccination programme. A Cox proportional hazards model estimated the hazard ratio of a confirmed COVID-19 care home outbreak closure. RESULTS Care home outbreaks reduced by two-thirds compared to expected following the introduction of the vaccination programme, from a projected 1625 COVID-19 outbreaks (95% prediction interval 1553-1694) between 7 December 2020 and 28 October 2021 to an observed 501. We estimated an adjusted hazard ratio of 2.53 of the outbreak closure assuming a 21-day lag for immunity. CONCLUSIONS These findings describe the association of the vaccination with a reduction in outbreak frequency and duration across NI care homes. This indicates probable reduced harm and disruption from COVID-19 in social care settings following vaccination. Future research using individual level data from care home residents will be needed to investigate the effectiveness of the vaccines and the duration of their effects.
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Affiliation(s)
- D T Bradley
- Public Health Agency, Belfast, UK; Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - S Murphy
- Centre for Public Health, Queen's University Belfast, Belfast, UK.
| | | | - S Arnold
- Public Health Agency, Belfast, UK
| | - S Lavery
- Public Health Agency, Belfast, UK
| | - J Murphy
- Public Health Agency, Belfast, UK
| | - S de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - R Hobbs
- Nuffield Department of Health Care Sciences, University of Oxford, Oxford, UK
| | - R S M Tsang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - A Akbari
- Population Data Science and Health Data Research UK, Swansea University, Swansea, UK
| | - F Torabi
- Population Data Science, Swansea University Medical School, UK
| | - J Beggs
- BREATHE- The Health Data Research Hub For Respiratory Health, UK
| | - A Chuter
- BREATHE- The Health Data Research Hub For Respiratory Health, UK
| | - T Shi
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - E Vasileiou
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - C Robertson
- Public Health Scotland, UK; University of Strathclyde, Glasgow, UK
| | - A Sheikh
- Usher Institute, University of Edinburgh, Edinburgh, UK; BREATHE- The Health Data Research Hub For Respiratory Health, UK
| | - H Reid
- Public Health Agency, Belfast, UK
| | - D O'Reilly
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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Sahmel J, Arnold S, Ramachandran G. Influence of repeated contacts on the transfer of elemental metallic lead between compartments in an integrated conceptual model for dermal exposure assessment. J Toxicol Environ Health A 2022; 85:89-109. [PMID: 34569450 DOI: 10.1080/15287394.2021.1979435] [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] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Transfer of contaminants to and from the skin surface has been postulated to occur through a number of different pathways and compartments including: object(s)-to-skin, skin-to-skin, skin-to-clothing, skin-to-gloves, air-to-skin, skin-to-lips, and skin-to-saliva. However, many identified transfer pathways have been only minimally examined to determine the potential for measurable transfer. The purpose of this study was to quantitatively evaluate repeated transfer between different compartments using elemental metallic lead (Pb) in the solid form using a series of systematic measurements in human subjects. The results demonstrated that some transfer pathways and compartments are significantly more important than others. Transfer of Pb could not be measured from skin to cotton clothing or skin to laminate countertop surfaces. However, transfer was consistently measured for skin-to-skin and between the skin and the surface of nitrile gloves, suggesting the potential for significant transfer to or from these compartments in real-world exposure scenarios, and the importance of these pathways. With repeated contacts, transfer increased non-linearly between 1 and 5 contacts, but appeared to approach a steady state distribution among the compartments within 10 contacts. Consistent with other studies, relative to 100% transfer for a single contact, the quantitative transfer efficiency decreased with repeated contacts to 29% after 5 contacts and 11-12% after 10 contacts; for skin-to-skin transfer measurements, transfer efficiency after either 5 or 10 contacts was approximately 50% of the single contact transfer. These data are likely to be useful for refining current approaches to modeling of repeated contacts for dermal exposure and risk assessment.
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Affiliation(s)
- J Sahmel
- Insight Exposure and Risk Sciences, Boulder, Colorado, USA
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - S Arnold
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - G Ramachandran
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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Guerrero-Castillo S, van Strien J, Brandt U, Arnold S. Ablation of mitochondrial DNA results in widespread remodeling of the mitochondrial complexome. EMBO J 2021; 40:e108648. [PMID: 34542926 PMCID: PMC8561636 DOI: 10.15252/embj.2021108648] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 05/05/2021] [Revised: 08/26/2021] [Accepted: 09/01/2021] [Indexed: 11/16/2022] Open
Abstract
So‐called ρ0 cells lack mitochondrial DNA and are therefore incapable of aerobic ATP synthesis. How cells adapt to survive ablation of oxidative phosphorylation remains poorly understood. Complexome profiling analysis of ρ0 cells covered 1,002 mitochondrial proteins and revealed changes in abundance and organization of numerous multiprotein complexes including previously not described assemblies. Beyond multiple subassemblies of complexes that would normally contain components encoded by mitochondrial DNA, we observed widespread reorganization of the complexome. This included distinct changes in the expression pattern of adenine nucleotide carrier isoforms, other mitochondrial transporters, and components of the protein import machinery. Remarkably, ablation of mitochondrial DNA hardly affected the complexes organizing cristae junctions indicating that the altered cristae morphology in ρ0 mitochondria predominantly resulted from the loss of complex V dimers required to impose narrow curvatures to the inner membrane. Our data provide a comprehensive resource for in‐depth analysis of remodeling of the mitochondrial complexome in response to respiratory deficiency.
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Affiliation(s)
- Sergio Guerrero-Castillo
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,University Children's Research@Kinder-UKE, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Joeri van Strien
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ulrich Brandt
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Susanne Arnold
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
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Hevler JF, Zenezeni Chiozzi R, Cabrera-Orefice A, Brandt U, Arnold S, Heck AJR. Molecular characterization of a complex of apoptosis-inducing factor 1 with cytochrome c oxidase of the mitochondrial respiratory chain. Proc Natl Acad Sci U S A 2021; 118:e2106950118. [PMID: 34548399 PMCID: PMC8488679 DOI: 10.1073/pnas.2106950118] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2021] [Indexed: 12/28/2022] Open
Abstract
Combining mass spectrometry-based chemical cross-linking and complexome profiling, we analyzed the interactome of heart mitochondria. We focused on complexes of oxidative phosphorylation and found that dimeric apoptosis-inducing factor 1 (AIFM1) forms a defined complex with ∼10% of monomeric cytochrome c oxidase (COX) but hardly interacts with respiratory chain supercomplexes. Multiple AIFM1 intercross-links engaging six different COX subunits provided structural restraints to build a detailed atomic model of the COX-AIFM12 complex (PDBDEV_00000092). An application of two complementary proteomic approaches thus provided unexpected insight into the macromolecular organization of the mitochondrial complexome. Our structural model excludes direct electron transfer between AIFM1 and COX. Notably, however, the binding site of cytochrome c remains accessible, allowing formation of a ternary complex. The discovery of the previously overlooked COX-AIFM12 complex and clues provided by the structural model hint at potential roles of AIFM1 in oxidative phosphorylation biogenesis and in programmed cell death.
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Affiliation(s)
- Johannes F Hevler
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, The Netherlands
| | - Riccardo Zenezeni Chiozzi
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, The Netherlands
- Netherlands Proteomics Center, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, The Netherlands
| | - Alfredo Cabrera-Orefice
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Ulrich Brandt
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, 50931 Cologne, Germany
| | - Susanne Arnold
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands;
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, 50931 Cologne, Germany
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, The Netherlands;
- Netherlands Proteomics Center, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, 3584 CH Utrecht, The Netherlands
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Abstract
BACKGROUND Large cell neuroendocrine carcinoma (LCNEC) is a rare, aggressive cancer with a dismal prognosis. The majority of cases occur in the lung and the gastrointestinal tract; however, it can occur throughout the body. Recently advances in the understanding of the molecular underpinnings of this disease have paved the way for additional novel promising therapies. This review will discuss the current best evidence for management of LCNEC and new directions in the classification and treatment of this rare disease. METHODS We performed a PubMed search for "Large cell neuroendocrine carcinoma" and "High grade neuroendocrine carcinoma." All titles were screened for relevance to the management of LCNEC. Papers were included based on relevance to the management of LCNEC. RESULTS Papers were included reviewing both pulmonary and extra pulmonary LCNEC. We summarized the data driven best practices for the management of both early and advanced stage LCNEC. We describe emerging therapies with promising potential. DISCUSSION LCNEC are rare and aggressive neoplasms. In advanced disease, the historical regimen of platinum based therapy in combination with etoposide or irinotecan remains among the commonly used first line therapies, however for extra thoracic LCNEC regimens like FOLFOX, FOLFOIRI and CAPTEM can also be used. Further effective and safe treatment options are desperately needed. Recently, new advances including a new understanding of the genetic subcategories of LCNEC and immunotherapy agents may guide further treatments.
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Affiliation(s)
- Virginia Corbett
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Susanne Arnold
- Division of Medical Oncology, Department of Internal Medicine, Markey Cancer Center, University of Kentucky, Lexington, KY, United States
| | - Lowell Anthony
- Division of Medical Oncology, Department of Internal Medicine, Markey Cancer Center, University of Kentucky, Lexington, KY, United States
| | - Aman Chauhan
- Division of Medical Oncology, Department of Internal Medicine, Markey Cancer Center, University of Kentucky, Lexington, KY, United States
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van Strien J, Haupt A, Schulte U, Braun HP, Cabrera-Orefice A, Choudhary JS, Evers F, Fernandez-Vizarra E, Guerrero-Castillo S, Kooij TWA, Páleníková P, Pardo M, Ugalde C, Wittig I, Wöhlbrand L, Brandt U, Arnold S, Huynen MA. CEDAR, an online resource for the reporting and exploration of complexome profiling data. Biochim Biophys Acta Bioenerg 2021; 1862:148411. [PMID: 33722514 DOI: 10.1016/j.bbabio.2021.148411] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 03/02/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023]
Abstract
Complexome profiling is an emerging 'omics' approach that systematically interrogates the composition of protein complexes (the complexome) of a sample, by combining biochemical separation of native protein complexes with mass-spectrometry based quantitation proteomics. The resulting fractionation profiles hold comprehensive information on the abundance and composition of the complexome, and have a high potential for reuse by experimental and computational researchers. However, the lack of a central resource that provides access to these data, reported with adequate descriptions and an analysis tool, has limited their reuse. Therefore, we established the ComplexomE profiling DAta Resource (CEDAR, www3.cmbi.umcn.nl/cedar/), an openly accessible database for depositing and exploring mass spectrometry data from complexome profiling studies. Compatibility and reusability of the data is ensured by a standardized data and reporting format containing the "minimum information required for a complexome profiling experiment" (MIACE). The data can be accessed through a user-friendly web interface, as well as programmatically using the REST API portal. Additionally, all complexome profiles available on CEDAR can be inspected directly on the website with the profile viewer tool that allows the detection of correlated profiles and inference of potential complexes. In conclusion, CEDAR is a unique, growing and invaluable resource for the study of protein complex composition and dynamics across biological systems.
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Affiliation(s)
- Joeri van Strien
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alexander Haupt
- Institute of Physiology, Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
| | - Uwe Schulte
- Institute of Physiology, Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany; Center for Biological Signalling Studies (BIOSS) and Center for Integrative Signalling Studies (CIBSS), 79104 Freiburg, Germany
| | - Hans-Peter Braun
- Institute of Plant Genetics, Leibniz Universität Hannover, Herrenhäuser Str. 2, 30419 Hannover, Germany
| | - Alfredo Cabrera-Orefice
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jyoti S Choudhary
- Functional Proteomics, The Institute of Cancer Research, London SW7 3RP, UK
| | - Felix Evers
- Medical Microbiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Sergio Guerrero-Castillo
- University Children's Research@Kinder-UKE, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Taco W A Kooij
- Medical Microbiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Mercedes Pardo
- Functional Proteomics, The Institute of Cancer Research, London SW7 3RP, UK
| | - Cristina Ugalde
- Hospital 12 de Octubre Research Institute, Madrid 28041, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), U723, Madrid, Spain
| | - Ilka Wittig
- Functional Proteomics, Medical School, Goethe-University, 60590 Frankfurt am Main, Germany
| | - Lars Wöhlbrand
- General and Molecular Microbiology, Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Ulrich Brandt
- Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Susanne Arnold
- Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martijn A Huynen
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
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Chauhan A, Kunos C, Khouli RE, Kolesar J, Weiss HL, Carson B, Kidd M, Beumer J, Arnold S, Kohn E, Anthony L. Abstract 674: A phase I trial of Triapine and Lutetium Lu 177 Dotatate in combination for well-differentiated somatostatin receptor-positive gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-674] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Radiolabeled somatostatin analogues provide a means of delivering targeted radiation with a high therapeutic index to NETs that express somatostatin receptors (SSTRs). Radiolabeled somatostatin analogue Lutetium Lu 177 Dotatate (Lutathera) is a beta- and gamma-emitting radionuclide. Lutathera has been recently FDA approved for use in SSTR positive gastroenteropancreatic neuroendocrine tumors (GEPNETS) in the US based on NETTER-1 Phase III trial. Despite favorable PFS, and safety profile, the drug has limited cytoreductive capability. NETTER-1 reported 17% ORR. PRRT also doesn't seem to be very effective in treating peritoneal disease. We hypothesize that addition of an effective radiation sensitizer can help improve antitumor activity of Lutathera.
Rationale: Triapine is a ribonucleotide reductase (RNR) inhibitor. Radiation is a potent inducer of DNA double-strand breaks (DSBs). Targeting signaling networks involved in DSB repair is a promising approach for enhancing cellular radio sensitivity. RNR is the rate-limiting enzyme in the synthesis and repair of DNA, and it is directly involved in the cellular response to radiation, making RNR-targeted therapy to enhance radiation treatment a rational therapeutic strategy. RNR is the only enzyme responsible for conversion of ribonucleoside diphosphate to deoxyribonucleotide diphosphate (dNDP), the key building blocks for DNA synthesis. This study will test the hypothesis that triapine is an effective radiation sensitizer which can be safely combined with peptide receptor radionuclide therapy and can improve antitumor activity of Lutetium Lu 177 Dotatate.
Method: This study is an investigator initiated, NCI sponsored, multicenter phase 1 trial of triapine and Lutetium Lu 177 Dotatate in combination for well-differentiated somatostatin receptor-positive gastroenteropancreatic neuroendocrine tumor (GEP-NETs) after the failure of at least one line of prior systemic cancer treatment. A total of 29 patients will be enrolled in the dose escalation (BOIN design) and dose expansion cohorts. The study will be open through the entire ETCTN. Patients will be treated with 177 lutetium dotatate in combination with Triapene. Triapene will be administered orally from D1-14 with each dose of PRRT. Primary endpoint is to evaluate RP2D. Secondary endpoints are looking into clinical activity (ORR, PFS and OS). We are also evaluating NETEST, a novel blood based predicting as well as prognosticating test. In addition, the study will evaluate baseline somatostatin receptor density, somatic tumor mutations and germline mutations and correlate with clinical outcome.
ClinicalTrials.gov Identifier: NCT04234568
Citation Format: Aman Chauhan, Charles Kunos, Riham El Khouli, Jill Kolesar, Heidi L. Weiss, Bill Carson, Mark Kidd, Jan Beumer, Susanne Arnold, Elise Kohn, Lowell Anthony. A phase I trial of Triapine and Lutetium Lu 177 Dotatate in combination for well-differentiated somatostatin receptor-positive gastroenteropancreatic neuroendocrine tumors (GEP-NETs) [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 674.
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Jassim T, Sheng T, Zhang S, Wei S, Arnold S, Kejner A, Bocklage T, Dueber J. Novel fusion KTN1-PRKD1 in cribriform adenocarcinoma of salivary glands located in the parotid gland: Case report including cytologic findings. Human Pathology: Case Reports 2021. [DOI: 10.1016/j.ehpc.2021.200496] [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: 11/29/2022] Open
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Immel A, Key FM, Szolek A, Barquera R, Robinson MK, Harrison GF, Palmer WH, Spyrou MA, Susat J, Krause-Kyora B, Bos KI, Forrest S, Hernández-Zaragoza DI, Sauter J, Solloch U, Schmidt AH, Schuenemann VJ, Reiter E, Kairies MS, Weiß R, Arnold S, Wahl J, Hollenbach JA, Kohlbacher O, Herbig A, Norman PJ, Krause J. Analysis of genomic DNA from medieval plague victims suggests long-term effect of Yersinia pestis on human immunity genes. Mol Biol Evol 2021; 38:4059-4076. [PMID: 34002224 PMCID: PMC8476174 DOI: 10.1093/molbev/msab147] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Pathogens and associated outbreaks of infectious disease exert selective pressure on human populations, and any changes in allele frequencies that result may be especially evident for genes involved in immunity. In this regard, the 1346-1353 Yersinia pestis-caused Black Death pandemic, with continued plague outbreaks spanning several hundred years, is one of the most devastating recorded in human history. To investigate the potential impact of Y. pestis on human immunity genes we extracted DNA from 36 plague victims buried in a mass grave in Ellwangen, Germany in the 16th century. We targeted 488 immune-related genes, including HLA, using a novel in-solution hybridization capture approach. In comparison with 50 modern native inhabitants of Ellwangen, we find differences in allele frequencies for variants of the innate immunity proteins Ficolin-2 and NLRP14 at sites involved in determining specificity. We also observed that HLA-DRB1*13 is more than twice as frequent in the modern population, whereas HLA-B alleles encoding an isoleucine at position 80 (I-80+), HLA C*06:02 and HLA-DPB1 alleles encoding histidine at position 9 are half as frequent in the modern population. Simulations show that natural selection has likely driven these allele frequency changes. Thus, our data suggests that allele frequencies of HLA genes involved in innate and adaptive immunity responsible for extracellular and intracellular responses to pathogenic bacteria, such as Y. pestis, could have been affected by the historical epidemics that occurred in Europe.
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Affiliation(s)
- Alexander Immel
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Institute of Clinical Molecular Biology, Kiel University, Rosalind-Franklin-Strasse 12, 24105 Kiel, Germany.,Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany
| | - Felix M Key
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Max Planck Institute for Infection Biology, Charitéplatz 1, 10117 Berlin, Germany
| | - András Szolek
- Applied Bioinformatics, Dept. for Computer Science, University of Tübingen, Sand 14, 72076 Tübingen, Germany
| | - Rodrigo Barquera
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany
| | - Madeline K Robinson
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology & Microbiology, University of Colorado, CO 80045, USA
| | - Genelle F Harrison
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology & Microbiology, University of Colorado, CO 80045, USA
| | - William H Palmer
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology & Microbiology, University of Colorado, CO 80045, USA
| | - Maria A Spyrou
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany
| | - Julian Susat
- Institute of Clinical Molecular Biology, Kiel University, Rosalind-Franklin-Strasse 12, 24105 Kiel, Germany
| | - Ben Krause-Kyora
- Institute of Clinical Molecular Biology, Kiel University, Rosalind-Franklin-Strasse 12, 24105 Kiel, Germany
| | - Kirsten I Bos
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany
| | - Stephen Forrest
- Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany
| | - Diana I Hernández-Zaragoza
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Immunogenetics Unit, Técnicas Genéticas Aplicadas a la Clínica (TGAC), Mexico City, Mexico
| | | | | | | | - Verena J Schuenemann
- Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.,Institute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Ella Reiter
- Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.,Institute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Madita S Kairies
- Institute for Archaeological Sciences, WG Palaeoanthropology, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany
| | - Rainer Weiß
- State Office for Cultural Heritage Management, Stuttgart Regional Council, Berliner Strasse 12, 73728 Esslingen, Germany
| | - Susanne Arnold
- State Office for Cultural Heritage Management, Stuttgart Regional Council, Berliner Strasse 12, 73728 Esslingen, Germany
| | - Joachim Wahl
- Institute for Archaeological Sciences, WG Palaeoanthropology, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.,State Office for Cultural Heritage Management, Stuttgart Regional Council, Berliner Strasse 12, 73728 Esslingen, Germany
| | - Jill A Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, USA
| | - Oliver Kohlbacher
- Applied Bioinformatics, Dept. for Computer Science, University of Tübingen, Sand 14, 72076 Tübingen, Germany.,Institute for Bioinformatics and Medical Informatics, University of Tübingen, Sand 14, 72076 Tübingen, Germany.,Quantitative Biology Center, University of Tübingen, Auf der Morgenstelle 10, 72076 Tübingen, Germany.,Translational Bioinformatics, University Hospital Tübingen, Sand 14, 72076 Tübingen, Germany.,Biomolecular Interactions, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
| | - Alexander Herbig
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany
| | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology & Microbiology, University of Colorado, CO 80045, USA
| | - Johannes Krause
- Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, 07745 Jena, Germany.,Institute of Archaeological Sciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.,Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
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Qin N, Li Y, Wang C, Zhu M, Dai J, Hong T, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojesen SE, Landi MT, Johansson M, Risch A, Wichmann HE, Bickeboller H, Rennert G, Arnold S, Brennan P, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Hung RJ, Andrew A, Kiemeney LA, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Woll P, Lazarus P, Schabath MB, Aldrich MC, Stevens VL, Jin G, Christiani DC, Hu Z, Amos CI, Ma H, Shen H. Comprehensive functional annotation of susceptibility variants identifies genetic heterogeneity between lung adenocarcinoma and squamous cell carcinoma. Front Med 2021; 15:275-291. [PMID: 32889700 PMCID: PMC8374896 DOI: 10.1007/s11684-020-0779-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [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: 10/13/2019] [Accepted: 03/05/2020] [Indexed: 12/12/2022]
Abstract
Although genome-wide association studies have identified more than eighty genetic variants associated with non-small cell lung cancer (NSCLC) risk, biological mechanisms of these variants remain largely unknown. By integrating a large-scale genotype data of 15 581 lung adenocarcinoma (AD) cases, 8350 squamous cell carcinoma (SqCC) cases, and 27 355 controls, as well as multiple transcriptome and epigenomic databases, we conducted histology-specific meta-analyses and functional annotations of both reported and novel susceptibility variants. We identified 3064 credible risk variants for NSCLC, which were overrepresented in enhancer-like and promoter-like histone modification peaks as well as DNase I hypersensitive sites. Transcription factor enrichment analysis revealed that USF1 was AD-specific while CREB1 was SqCC-specific. Functional annotation and gene-based analysis implicated 894 target genes, including 274 specifics for AD and 123 for SqCC, which were overrepresented in somatic driver genes (ER = 1.95, P = 0.005). Pathway enrichment analysis and Gene-Set Enrichment Analysis revealed that AD genes were primarily involved in immune-related pathways, while SqCC genes were homologous recombination deficiency related. Our results illustrate the molecular basis of both well-studied and new susceptibility loci of NSCLC, providing not only novel insights into the genetic heterogeneity between AD and SqCC but also a set of plausible gene targets for post-GWAS functional experiments.
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Affiliation(s)
- Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yuancheng Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Tongtong Hong
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892-9304, USA
| | - Stephen Lam
- Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, BC, V5Z 1L3, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, 33006, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Gary Goodman
- Public Health Sciences Division, Swedish Cancer Institute, Seattle, WA, 98026, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, DK-1017, Denmark
| | | | - Mattias Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, 69372, France
| | - Angela Risch
- Cancer Center Cluster Salzburg at PLUS, Department of Molecular Biology, University of Salzburg, Heidelberg, 5020, Austria
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians University, Munich, Bavaria, 80539, Germany
| | - Heike Bickeboller
- Department of Genetic Epidemiology, University Medical Center Goettingen, Goettingen, 37075, Germany
| | - Gadi Rennert
- Technion Faculty of Medicine, Carmel Medical Center, Haifa, 3448516, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, 40506-0054, USA
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, 69372, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Roy Castle Lung Cancer Research Programme, The University of Liverpool Institute of Translational Medicine, Liverpool, L69 7ZX, UK
| | - Sanjay Shete
- Department of Epidemiology, The University of Texas, MD Anderson Cancer Center, Houston, TX, 77079, USA
| | - Loic Le Marchand
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Olle Melander
- Department of Clinical Sciences, Lund University, BMC F12, 221 84, Lund, Sweden
| | - Hans Brunnstrom
- Department of Clinical Sciences, Lund University, BMC F12, 221 84, Lund, Sweden
| | - Geoffrey Liu
- Epidemiology Division, Princess Margaret Cancer Center, Toronto, ON, M4Y 2H8, Canada
| | - Rayjean J Hung
- Epidemiology Division, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
| | - Angeline Andrew
- Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA
| | - Lambertus A Kiemeney
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, 9101 6500, HB, Germany
| | - Shan Zienolddiny
- National Institute of Occupational Health (STAMI), Oslo, Pb 5330, Norway
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umea, 901 87, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umea, 901 87, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20850, USA
| | - Penella Woll
- Academic Unit of Clinical Oncology, University of Sheffield, Sheffield, S10 2TN, UK
| | - Philip Lazarus
- College of Pharmacy, Washington State University, Spokane, WA, 99210, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 12902, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Victoria L Stevens
- Department of Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30303, USA
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - David C Christiani
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Environmental Health, Harvard School of Public Health, Department of Medicine, Harvard Medical School/Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, TX, 21202, USA
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China.
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China.
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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43
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Rao S, Arnold S, Carbone D, Salgia R, Tsao A, Niu J, Aggarwal C, Dragnev K, Awad M, Gainor J, Gubens M, Velcheti V, Telliho L, Akala O, Chartash E, Stevenson J. P75.03 KEYNOTE-U01: A Phase 2 Umbrella Study of Investigational Agents Plus Pembrolizumab-Based Therapy for Advanced NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1037] [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: 11/26/2022]
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44
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Lesseur C, Ferreiro-Iglesias A, McKay JD, Bossé Y, Johansson M, Gaborieau V, Landi MT, Christiani DC, Caporaso NC, Bojesen SE, Amos CI, Shete S, Liu G, Rennert G, Albanes D, Aldrich MC, Tardon A, Chen C, Triantafillos L, Field JK, Teare MD, Kiemeney LA, Diergaarde B, Ferris RL, Zienolddiny S, Lam S, Olshan AF, Weissler MC, Lacko M, Risch A, Bickeböller H, Ness AR, Thomas S, Le Marchand L, Schabath MB, Wünsch-Filho V, Tajara EH, Andrew AS, Clifford GM, Lazarus P, Grankvist K, Johansson M, Arnold S, Melander O, Brunnström H, Boccia S, Cadoni G, Timens W, Obeidat M, Xiao X, Houlston RS, Hung RJ, Brennan P. Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers. PLoS Genet 2021; 17:e1009254. [PMID: 33667223 PMCID: PMC7968735 DOI: 10.1371/journal.pgen.1009254] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 03/17/2021] [Accepted: 11/05/2020] [Indexed: 11/20/2022] Open
Abstract
Squamous cell carcinomas (SqCC) of the aerodigestive tract have similar etiological risk factors. Although genetic risk variants for individual cancers have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. To identify novel and pleotropic SqCC risk variants, we performed a meta-analysis of GWAS data on lung SqCC (LuSqCC), oro/pharyngeal SqCC (OSqCC), laryngeal SqCC (LaSqCC) and esophageal SqCC (ESqCC) cancers, totaling 13,887 cases and 61,961 controls of European ancestry. We identified one novel genome-wide significant (Pmeta<5x10-8) aerodigestive SqCC susceptibility loci in the 2q33.1 region (rs56321285, TMEM273). Additionally, three previously unknown loci reached suggestive significance (Pmeta<5x10-7): 1q32.1 (rs12133735, near MDM4), 5q31.2 (rs13181561, TMEM173) and 19p13.11 (rs61494113, ABHD8). Multiple previously identified loci for aerodigestive SqCC also showed evidence of pleiotropy in at least another SqCC site, these include: 4q23 (ADH1B), 6p21.33 (STK19), 6p21.32 (HLA-DQB1), 9p21.33 (CDKN2B-AS1) and 13q13.1(BRCA2). Gene-based association and gene set enrichment identified a set of 48 SqCC-related genes rel to DNA damage and epigenetic regulation pathways. Our study highlights the importance of cross-cancer analyses to identify pleiotropic risk loci of histology-related cancers arising at distinct anatomical sites.
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Affiliation(s)
- Corina Lesseur
- Section of Genetics, Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Aida Ferreiro-Iglesias
- Section of Genetics, Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James D. McKay
- Section of Genetics, Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Yohan Bossé
- Department of Molecular Medicine, Institut universitaire de cardiologie et de pneumologie de Québec, Laval University, Quebec City, Canada
| | - Mattias Johansson
- Section of Genetics, Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Valerie Gaborieau
- Section of Genetics, Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - David C. Christiani
- Department of Environmental Health, Harvard TH Chan School of Public Health, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Neil C. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Christopher I. Amos
- Department of Medicine, Baylor college of Medicine, Houston, Texas, United States of America
| | - Sanjay Shete
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, Canada
| | - Gadi Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Melinda C. Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, Washington, United States of America
| | | | - John K. Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Marion Dawn Teare
- School of Health and Related Research, University Of Sheffield, Sheffield, United Kingdom
| | | | - Brenda Diergaarde
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Robert L. Ferris
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | | | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, Canada
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Mark C. Weissler
- Department of Otolaryngology/Head and Neck Surgery, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Martin Lacko
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Angela Risch
- University of Salzburg, Department of Biosciences and Cancer Cluster Salzburg, Salzburg, Austria
- Division of Epigenomics, DKFZ – German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - Andy R. Ness
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom
- Bristol Dental School, University of Bristol, Bristol, United Kingdom
| | - Steve Thomas
- Bristol Dental School, University of Bristol, Bristol, United Kingdom
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Matthew B. Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America
| | | | - Eloiza H. Tajara
- Department of Molecular Biology, School of Medicine of São José do Rio Preto, São José do Rio Preto, Brazil
| | - Angeline S. Andrew
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, United States of America
| | - Gary M. Clifford
- Infections Section, Infections and Cancer Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington, United States of America
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky, United States of America
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Hans Brunnström
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Stefania Boccia
- Section of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Roma, Italia
- Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italia
| | - Gabriella Cadoni
- Dipartimento Patologia Testa Collo e Organi di Senso, Istituto di Clinica Otorinolaringoiatrica, Università Cattolica del Sacro Cuore, Roma, Italia
- Dipartimento di Scienze dell’Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italia
| | - Wim Timens
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- GRIAC Research Institute, University of Groningen, Groningen, The Netherlands
| | - Ma’en Obeidat
- Centre for Heart Lung Innovation, St Paul’s Hospital, The University of British Columbia, Vancouver, Canada
| | - Xiangjun Xiao
- Department of Medicine, Baylor college of Medicine, Houston, Texas, United States of America
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Rayjean J. Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Paul Brennan
- Section of Genetics, Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
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Jacob A, Wu J, Kolesar J, Durbin E, Mathew A, Arnold S, Chauhan A. Real world clinicopathologic observations of patients with metastatic solid tumors receiving immune checkpoint inhibitor therapy: Analysis from Kentucky Cancer Registry. Cancer Med 2021; 10:2054-2062. [PMID: 33619913 PMCID: PMC7957185 DOI: 10.1002/cam4.3802] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/27/2021] [Accepted: 02/08/2021] [Indexed: 12/16/2022] Open
Abstract
The state of Kentucky has the highest cancer incidence and mortality in the United States. High‐risk populations such as this are often underrepresented in clinical trials. The study aims to do a comprehensive analysis of molecular landscape of metastatic cancers among these patients with detailed evaluation of factors affecting response and outcomes to immune checkpoint inhibitor (ICI) therapy. We performed a retrospective analysis of metastatic solid tumor patients who received ICI and underwent molecular profiling at our institution. Sixty nine patients with metastatic solid tumors who received ICI were included in the study. Prevalence of smoking and secondhand tobacco exposure was 78.3% and 14.5%, respectively. TP53 (62.3%), CDKN1B/2A (40.5%), NOTCH and PIK3 (33.3%) were the most common alterations in tumors. 67.4% were PDL1 positive and 59.4% had intermediate‐high tumor mutational burden (TMB). Median TMB (12.6) was twofold to fourfold compared to clinical trials. The prevalence of mutations associated with smoking, homologous recombinant repair and PIK3/AKT/mTOR pathway mutations was higher compared to historic cohorts. PDL1 expression had no significant effect on radiologic response, but PFS improvement in patients with tumors expressing PDL1 trended toward statistical significance (median 18 vs. 40 weeks. HR = 1.43. 95%CI 0.93, 4.46). Median PFS was higher in the high‐TMB cohort compared to low‐intermediate TMB (median not reached vs. 26 weeks; HR = 0.37. 95%CI 0.13, 1.05). A statistically significant improvement in PFS was observed in the PIK3 mutated cohort (median 123 vs. 23 weeks. HR = 2.51. 95%CI 1.23, 5.14). This was independent of tumor mutational burden (TMB) status or PDL1 expression status. PIK3 mutants had a higher overall response rate than the wild type (69.6% vs. 43.5%, OR 0.34; p = 0.045). The results should prompt further evaluation of these potential biomarkers and more widespread real‐world data publications which might help determine biomarkers that could benefit specific populations.
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Affiliation(s)
- Aasems Jacob
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Jianrong Wu
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Jill Kolesar
- College of Pharmacy, University of Kentucky, Lexington, KY, USA
| | - Eric Durbin
- Cancer Research Informatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Aju Mathew
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Susanne Arnold
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Aman Chauhan
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
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Hevler JF, Lukassen MV, Cabrera-Orefice A, Arnold S, Pronker MF, Franc V, Heck AJR. Selective cross-linking of coinciding protein assemblies by in-gel cross-linking mass spectrometry. EMBO J 2021; 40:e106174. [PMID: 33459420 PMCID: PMC7883291 DOI: 10.15252/embj.2020106174] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [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: 07/07/2020] [Revised: 12/03/2020] [Accepted: 12/10/2020] [Indexed: 12/18/2022] Open
Abstract
Cross-linking mass spectrometry has developed into an important method to study protein structures and interactions. The in-solution cross-linking workflows involve time and sample consuming steps and do not provide sensible solutions for differentiating cross-links obtained from co-occurring protein oligomers, complexes, or conformers. Here we developed a cross-linking workflow combining blue native PAGE with in-gel cross-linking mass spectrometry (IGX-MS). This workflow circumvents steps, such as buffer exchange and cross-linker concentration optimization. Additionally, IGX-MS enables the parallel analysis of co-occurring protein complexes using only small amounts of sample. Another benefit of IGX-MS, demonstrated by experiments on GroEL and purified bovine heart mitochondria, is the substantial reduction of undesired over-length cross-links compared to in-solution cross-linking. We next used IGX-MS to investigate the complement components C5, C6, and their hetero-dimeric C5b6 complex. The obtained cross-links were used to generate a refined structural model of the complement component C6, resembling C6 in its inactivated state. This finding shows that IGX-MS can provide new insights into the initial stages of the terminal complement pathway.
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Affiliation(s)
- Johannes F Hevler
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.,Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Marie V Lukassen
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.,Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Alfredo Cabrera-Orefice
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Susanne Arnold
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Matti F Pronker
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.,Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Vojtech Franc
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.,Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.,Netherlands Proteomics Center, Utrecht, The Netherlands
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Speakman A, Harwood S, Jukes A, Hewett R, Arnold S, Dodington S. Are we providing adequate vitamin K to patients receiving parenteral nutrition? Clin Nutr ESPEN 2020. [DOI: 10.1016/j.clnesp.2020.09.140] [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: 10/23/2022]
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Christian WJ, Walker CJ, Huang B, Levy JE, Durbin E, Arnold S. Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia. Spat Spatiotemporal Epidemiol 2020; 35:100364. [PMID: 33138948 DOI: 10.1016/j.sste.2020.100364] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 06/19/2020] [Accepted: 07/20/2020] [Indexed: 01/09/2023]
Abstract
Population-based ecological and cross-sectional studies have observed high risk for several cancers in areas of Central Appalachia where mountaintop removal coal mines operate. Case-control studies could provide stronger evidence of such relationships, but misclassification of exposure is likely when based on current residence, since individuals could have inhabited several residences with varying environmental exposures over many years. To address this, we used residential histories for individuals enrolled in a previous case-control study of lung cancer to assess residential proximity to mountaintop removal coal mining over a 30-year period, using both survey data and proprietary data from LexisNexis, Inc. Supplementing the survey data with LexisNexis data improved precision and completeness of geographic coordinates. Final logistic regression models revealed higher odds of high exposure among cases. These findings suggest that living in close proximity to mountaintop removal coal mining sites could increase risk for lung cancer, after adjusting for other relevant factors.
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Affiliation(s)
- W J Christian
- Dept. of Epidemiology College of Public Health, University of Kentucky, Lexington, Kentucky, USA.
| | - C J Walker
- Dept. of Epidemiology College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | - B Huang
- Kentucky Cancer Registry, Lexington, Kentucky, USA
| | - J E Levy
- Dept. of Geography College of Arts & Sciences, University of Kentucky, Lexington, Kentucky, USA
| | - E Durbin
- Kentucky Cancer Registry, Lexington, Kentucky, USA
| | - S Arnold
- Markey Cancer Center, University of Kentucky, Lexington, Kentucky, USA
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Malik A, Chen H, Cooper A, Gomes M, Hejjaji V, Ji L, Khunti K, Kosiborod M, Nicolucci A, Peri-Okonny P, Shestakova M, Tang F, Vora J, Watada H, Arnold S. Relationship between country income, socioeconomic factors and control of cardiovascular disease risk factors in patients with type 2 Diabetes: insights from the global DISCOVER registry. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2832] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
In patients with type 2 diabetes (T2D), optimal management of cardiovascular (CV) risk factors is critical for primary prevention of CV disease.
Purpose
To describe the association of country income and patient socioeconomic factors with risk factor control in patients with T2D.
Methods
DISCOVER is a 37-country, prospective, observational study of 15,983 patients with T2D enrolled between January 2016 and December 2018 at initiation of 2nd-line glucose-lowering therapy and followed for 3 years. In patients without known CV disease with sub-optimally controlled risk factors at baseline, we examined achievement of risk factor control (HbA1c <7%, BP <140/90 mmHg, appropriate statin) at the 3 year follow-up. Countries were stratified by gross national income (GNI)/capita, per World Bank report. We explored variability across countries in risk factor control achievement using hierarchical logistic regression models and examined the association of country- and patient-level economic factors with risk factor control.
Results
Among 9,613 patients with T2D but without CV disease (mean age 57.2 years, 47.9% women), 83.1%, 37.5%, and 66.3% did not have optimal control of glucose, BP, and statins, respectively, at baseline. Of these, 40.8%, 55.5%, and 28.6% achieved optimal control at 3 years of follow-up. There was substantial variability in achievement of risk factor control across countries (Figure) but no association of country GNI/capita on achievement of risk factor control (Table). Insurance status, which differed substantially by GNI group, was strongly associated with glycemic control, with no insurance and public insurance associated with lower odds of patients achieving HbA1c <7%.
Conclusions
In a global cohort of patients with T2D, a substantial proportion do not achieve risk factor control even after 3 years of follow-up. The variability across countries in risk factor control is not explained by the GNI/capita of the country.
Proportion of patients at goal
Funding Acknowledgement
Type of funding source: Private company. Main funding source(s): The DISCOVER study is funded by AstraZeneca
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Affiliation(s)
- A Malik
- St. Luke's Mid America Heart Institute, Kansas City, United States of America
| | - H Chen
- AstraZeneca, Gaithersburg, United States of America
| | - A Cooper
- AstraZeneca, Cambridge, United Kingdom
| | - M Gomes
- Rio de Janeiro State University UERJ, Rio de Janeiro, Brazil
| | - V Hejjaji
- St. Luke's Mid America Heart Institute, Kansas City, United States of America
| | - L Ji
- Peking University, Beijing, China
| | - K Khunti
- University of Leicester, Leicester, United Kingdom
| | - M Kosiborod
- St. Luke's Mid America Heart Institute, Kansas City, United States of America
| | - A Nicolucci
- Center of Outcomes Research and Clinical Epidemiology, Pescara, Italy
| | - P Peri-Okonny
- St. Luke's Mid America Heart Institute, Kansas City, United States of America
| | - M Shestakova
- Endocrinology Research Center, Diabetes Institute, Moscow, Russian Federation
| | - F Tang
- St. Luke's Mid America Heart Institute, Kansas City, United States of America
| | - J Vora
- Royal Liverpool University Hospital, Liverpool, United Kingdom
| | - H Watada
- Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - S Arnold
- St. Luke's Mid America Heart Institute, Kansas City, United States of America
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Burkeen G, Chauhan A, Agrawal R, Raiker R, Kolesar J, Anthony L, Evers BM, Arnold S. Gynecologic large cell neuroendocrine carcinoma: A review. Rare Tumors 2020; 12:2036361320968401. [PMID: 33194158 PMCID: PMC7605029 DOI: 10.1177/2036361320968401] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 05/03/2019] [Accepted: 09/30/2020] [Indexed: 01/05/2023] Open
Abstract
Large cell neuroendocrine carcinomas (LCNEC) are rare, aggressive high-grade neuroendocrine neoplasms within the neuroendocrine cell lineage spectrum. This manuscript provides a detailed review of published literature on LCNEC of gynecological origin. We performed a PubMed search for material available on gynecologic LCNEC. We analyzed 104 unique cases of gynecologic LCNECs, of which 45 were cervical primary, 45 were ovarian, 13 were uterine, and 1 was vaginal. A total of 45 cases of cervical LCNEC were identified with a median age of 36 years. Median overall survival was 16 months. We identified 45 ovarian LCNEC cases in the published literature with a median age of 54 years. Median overall survival was 8 months. 13 LCNEC cases of uterine origin were identified; 12 out of 13 were of endometrial origin and the median age was 71 years. The majority of patients presented with Stage III/IV disease (stages I-IV were 31%, 8%, 38%, and 23%, respectively). Gynecologic LCNEC is an aggressive malignancy. Our current understanding of the disease biology is very limited. Efforts are required to better understand the genomic and molecular characterizations of gynecological LCNEC. These efforts will elucidate the underlying oncogenic pathways and driver mutations as potential targets.
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Affiliation(s)
- Grant Burkeen
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Aman Chauhan
- Division of Medical Oncology, University of Kentucky, Lexington, KY, USA.,Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Rohitashva Agrawal
- Division of Medical Oncology, University of Kentucky, Lexington, KY, USA
| | - Riva Raiker
- Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Jill Kolesar
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA.,Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY, USA
| | - Lowell Anthony
- Division of Medical Oncology, University of Kentucky, Lexington, KY, USA.,Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - B Mark Evers
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA.,Department of Surgery, University of Kentucky, Lexington, KY, USA
| | - Susanne Arnold
- Division of Medical Oncology, University of Kentucky, Lexington, KY, USA.,Markey Cancer Center, University of Kentucky, Lexington, KY, USA
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