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Han Y, Ye M, Ye S, Liu B. Comparison of Lung Tissue-Derived Extracellular Vesicles Using Multiple Dissociation Methods for Profiling Protein Biomarkers. Biotechnol J 2024; 19:e202400329. [PMID: 39295555 DOI: 10.1002/biot.202400329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 08/29/2024] [Accepted: 09/02/2024] [Indexed: 09/21/2024]
Abstract
Extracellular vesicles (EVs) operate as chemical messengers that facilitate intercellular communication. Emerging evidence has demonstrated that lung tissue-derived EVs play pivotal roles in pulmonary physiological processes and have potential as biomarkers and therapeutics for lung diseases. Multiple methods have been proposed for the isolation of lung tissue-derived EVs. However, the effects of different tissue pre-treatments on lung EV isolation and subsequent disease biomarker discovery have not yet been comprehensively investigated. In this study, we compared the physical characteristics, recovery yields, and protein compositions of EVs isolated from lung tissues using three methods based on different tissue dissociation principles. Methodologically, the beneficial roles of blood perfusion and gentle meshing were emphasized based on their impact on EV yield and purity. These results demonstrate that different methods enrich distinct subpopulations of EVs that exhibit significant differences in their protein cargo and surface properties. These disparities directly affect the diagnostic detection of marker proteins related to lung diseases, including lung tumors, asthma, and pulmonary fibrosis. Collectively, these findings highlight the variations in EV characteristics resulting from the applied approaches and offer compelling suggestions for guiding researchers in selecting a suitable isolation method based on downstream functional studies and clinical applications.
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Affiliation(s)
- Yue Han
- School of Engineering Medicine, Beihang University, Beijing, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Meng Ye
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Sheng Ye
- School of Engineering Medicine, Beihang University, Beijing, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Bowen Liu
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
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2
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Hu Q, Li C, Huang Y, Wei Z, Chen L, Luo Y, Li X. Effects of Glutathione S-Transferases (GSTM1, GSTT1 and GSTP1) gene variants in combination with smoking or drinking on cancers: A meta-analysis. Medicine (Baltimore) 2024; 103:e37707. [PMID: 38579033 PMCID: PMC10994484 DOI: 10.1097/md.0000000000037707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/04/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND This meta-analysis aimed to systematically summarize the association between cancer risks and glutathione s-transferases (GSTs) among smokers and drinkers. METHODS Literature was searched through PubMed, Web of Science, CNKI, and WANFANG published from 2001 to 2022. Stata was used with fixed-effect model or random-effect model to calculate pooled odds ratios (ORs) and the 95% confidence interval (95% CI). Sensitivity and heterogeneity calculations were performed, and publication bias was analyzed by Begg and Egger's test. Regression analysis was performed on the correlated variables about heterogeneity, and the false-positive report probabilities (FPRP) and the Bayesian False Discovery Probability (BFDP) were calculated to assess the confidence of a statistically significant association. RESULTS A total of 85 studies were eligible for GSTs and cancer with smoking status (19,604 cases and 23,710 controls), including 14 articles referring to drinking status (4409 cases and 5645 controls). GSTM1-null had significant associations with cancer risks (for smokers: OR = 1.347, 95% CI: 1.196-1.516, P < .001; for nonsmokers: OR = 1.423, 95% CI: 1.270-1.594, P < .001; for drinkers: OR = 1.748, 95% CI: 1.093-2.797, P = .02). GSTT1-null had significant associations with cancer risks (for smokers: OR = 1.356, 95% CI: 1.114-1.651, P = .002; for nonsmokers: OR = 1.103, 95% CI: 1.011-1.204, P = .028; for drinkers: OR = 1.423, 95% CI: 1.042-1.942, P = .026; for nondrinkers: OR = 1.458, 95% CI: 1.014-2.098, P = .042). Negative associations were found between GSTP1rs1695(AG + GG/AA) and cancer risks among nondrinkers (OR = 0.840, 95% CI: 0.711-0.985, P = .032). CONCLUSIONS GSTM1-null and GSTT1-null might be related cancers in combination with smoking or drinking, and GSTP1rs1695 might be associated with cancers among drinkers.
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Affiliation(s)
- Qiurui Hu
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Cuiping Li
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Clinical Research Center for Craniofacial Deformity, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, People’s Republic of China
| | - Yonghui Huang
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Zhenxia Wei
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Li Chen
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
| | - Ying Luo
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Clinical Research Center for Craniofacial Deformity, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, People’s Republic of China
| | - Xiaojie Li
- College and Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Guangxi Clinical Research Center for Craniofacial Deformity, Guangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, People’s Republic of China
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Ochoa Scussiatto H, Stenson KM, Al-Khudari S, Jelinek MJ, Pinto JM, Bhayani MK. Air pollution is associated with increased incidence-rate of head and neck cancers: A nationally representative ecological study. Oral Oncol 2024; 150:106691. [PMID: 38266316 DOI: 10.1016/j.oraloncology.2024.106691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 01/26/2024]
Abstract
INTRODUCTION Early studies show conflicting findings regarding particulate matter ≤ 2.5 μm in diameter (PM2.5) exposure and development of head and neck cancers (HNC). We analyzed the relationship between PM2.5 exposure and various types of HNC in a nationally representative ecological sample. METHODS We determined HNC incidence in 608 US counties from 2011 to 2019 using the Surveillance, Epidemiology and End Results (SEER) Program from the National Cancer Institute. We also collected information on sociodemographic factors from SEER and data on smoking and alcohol intake from CDC data frames (county level). PM2.5 exposure levels were estimated using satellite and meteorological data via previously validated general additive models. Flexible semi-nonparametric regression models were used to test the relationship between PM2.5 exposure levels and HNC incidence, adjusting for demographics, socioeconomic factors, and comorbidity. RESULTS Increased PM2.5 exposure levels were associated with higher incidence-rates of oral cavity and pharyngeal cancers controlling for confounders in our primary analyses (IRR = 1.04, 95 % CI 1.01, 1.07, p = 0.02 per 1 μg/m3 increase in PM2.5). This relationship was maintained after adjusting for multiple testing (Holm s method, p = 0.04) and in ordinary least squares (OLS) regression (β = 0.17, 95 % CI 0.01, 0.57, p = 0.01). Increased exposure was also associated with other HNC: esophagus (IRR = 1.06, 95 % CI 1.01, 1.11, p = 0.02), lip (IRR = 1.16, 95 % CI 1.03, 1.31, p = 0.01), tonsil (IRR = 1.10, 95 % CI 1.03, 1.16, p < 0.01). However, these relationships were not maintained in secondary analyses. CONCLUSIONS This nationally representative ecological study shows that increased levels of air pollution are associated with increased incidence of overall oral cavity and pharyngeal cancers in the US.
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Affiliation(s)
- Henrique Ochoa Scussiatto
- Department of Otorhinolaryngology-Head and Neck Surgery, Rush University Medical Center, Chicago, IL, USA; Section of Otolaryngology-Head and Neck Surgery, The University of Chicago, Chicago, IL, USA
| | - Kerstin M Stenson
- Department of Otorhinolaryngology-Head and Neck Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Samer Al-Khudari
- Department of Otorhinolaryngology-Head and Neck Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Michael J Jelinek
- Department of Medical Oncology, Rush University Medical Center, Chicago, IL, USA
| | - Jayant M Pinto
- Section of Otolaryngology-Head and Neck Surgery, The University of Chicago, Chicago, IL, USA
| | - Mihir K Bhayani
- Department of Otorhinolaryngology-Head and Neck Surgery, Rush University Medical Center, Chicago, IL, USA.
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Felici A, Peduzzi G, Giorgolo F, Spinelli A, Calderisi M, Monreale A, Farinella R, Pellungrini R, Canzian F, Campa D. The local environment and germline genetic variation predict cancer risk in the UK Biobank prospective cohort. ENVIRONMENTAL RESEARCH 2024; 241:117562. [PMID: 37944693 DOI: 10.1016/j.envres.2023.117562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND There is a growing body of evidence on the effect of the local environment exposure on cancer susceptibility. Nonetheless, several of the associations remain controversial. Moreover, our understanding of the possible interaction between the local environment and the genetic variability is still very limited. OBJECTIVE The aim of this study was to clarify the role of the local environment and its possible interplay with genetics on common cancers development. METHODS Using the UK Biobank (UKBB) prospective cohort, we selected 12 local environment exposures: nitrogen oxides, nitrogen dioxides, particulate matter (10 and 2.5 μm), noise pollution, urban traffic, living distance from the coast, percentage of greenspace, natural environment, water, and domestic garden within 1000 m from the residential coordinates of each participant. All these exposures were tested for association with 17 different types of cancer for a total of 53,270 cases and 302,645 controls. Additionally, a polygenic score (PGS) was computed for each cancer, to test possible gene-environment interactions. Finally, mediation analyses were carried out. RESULTS Thirty-six statistically significant associations considering multiple testing (p < 2.19 × 10-4) were observed. Among the novel associations we observed that individuals living farther from the coast had a higher risk of developing prostate cancer (OR = 1.13, CI95% = 1.06-1.20, P = 1.98 × 10-4). This association was partially mediated by physical activity (indirect effect (IE) = -8.48 × 10-7) and the time spent outdoor (IE = 9.07 × 10-6). All PGSs showed statistically significant associations. Finally, genome-environment interaction analysis showed that local environment and genetic variability affect cancer risk independently. DISCUSSION Living close to the coast and air pollution were associated with a decreased risk of prostate cancer and skin melanoma, respectively. These findings from the UKBB support the role of the local environment on cancer development, which is independent from genetics and may be mediated by several lifestyle factors.
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Affiliation(s)
| | | | | | | | | | - Anna Monreale
- Department of Computer Science, University of Pisa, Pisa, Italy
| | | | | | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy.
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Wang Y, Yang Q, Zheng L. Association of oxidative stress, programmed cell death, GSTM1 gene polymorphisms, smoking and the risk of lung carcinogenesis: A two-step Mendelian randomization study. Front Physiol 2023; 14:1145129. [PMID: 37143928 PMCID: PMC10151499 DOI: 10.3389/fphys.2023.1145129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 04/03/2023] [Indexed: 05/06/2023] Open
Abstract
Aim: We aimed to examine the association of oxidative stress, programmed cell death, smoking, and the GSTM1 gene in the risk of lung carcinogenesis. The two-step Mendelian randomization will reveal evidence supporting the association of the exposure and mediators with the resulting outcome. Methods: In step 1, we estimated the impact of smoking exposure on lung carcinogenesis and programmed cell death. Our study involved a total of 500,000 patients of European ancestry, from whom we obtained genotype imputation information. Specifically, we genotyped two arrays: the UK Biobank Axiom (UKBB) which accounted for 95% of marker content, and the UK BiLIEVE Axiom (UKBL). This allowed us to unmask the association between smoking exposure and the incidence of lung carcinogenesis. In step 2, we further examined the effects of smoking on oxidative stress, programmed cell death, and the incidence of lung carcinogenesis. Results: Different outcomes emerged from the two-step Mendelian randomization. The GSTM1 gene variant was found to be critical in the development of lung carcinogenesis, as its deletion or deficiency can induce the condition. A GWAS study on participant information obtained from the UK Biobank revealed that smoking interferes with the GSTM1 gene, causing programmed cell death in the lungs and ultimately leading to lung carcinogenesis. The relative risk of developing lung carcinogenesis associated with oxidative stress was significantly high among current smokers (a hazard ratio of 17.8, 95% confidence interval of 12.2-26.0) and heavy smokers (a hazard ratio of 16.6 and a 95% confidence interval of 13.6-20.3) compared to individuals who never smoked. The GSTM1 gene polymorphism was found to be 0.006 among participants who have never smoked, <0.001 among ever-smokers, and 0.002 and <0.001 among current and former smokers, respectively. We compared the effect of smoking within two particular time frames, 6 years and 55 years, and found that smoking's impact on the GSTM1 gene was highest among participants who were 55 years old. The genetic risk peaked among individuals aged 50 years and above (PRS of at least 80%). Conclusion: Exposure to smoking is a significant factor in developing lung carcinogenesis, as it is associated with programmed cell death and other mediators involved in the condition. Oxidative stress caused by smoking is also a key mechanism in lung carcinogenesis. The results of the present study highlight the association between oxidative stress, programmed cell death, and the GSTM1 gene in the development of lung carcinogenesis.
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Nakanishi G, Bertagnolli LS, Pita-Oliveira M, Scudeler MM, Torres-Loureiro S, Almeida-Dantas T, Alves MLC, Cirino HS, Rodrigues-Soares F. GSTM1 and GSTT1 polymorphisms in healthy volunteers - a worldwide systematic review. Drug Metab Rev 2022; 54:37-45. [PMID: 35103568 DOI: 10.1080/03602532.2022.2036996] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/29/2022] [Indexed: 02/06/2023]
Abstract
The GSTM1 and GSTT1 genes encode homonymous enzymes, which are responsible for the detoxification of several substances potentially harmful to the human body, such as air pollution, drugs, pesticides, and tobacco. However, some individuals may present a complete deletion of these genes and, consequently, an enzyme deficiency leading to an inadequate metabolism and, therefore, a higher susceptibility to some clinical conditions. Interethnic variations have also been described for both genes, making necessary the study of the deletion frequencies of GSTM1 and GSTT1 in different populations around the world. So, the aim of this study was to enable the synthesis and discussion of the main population differences of GSTM1 and GSTT1 polymorphisms in healthy volunteers. Searches were performed in the PubMed database, including 533 articles and 178,566 individuals in the analyses. We found an overrepresentation of European individuals and studies, and an underrepresentation of non-European ethnicities. Moreover, there are significant frequency differences among distinct ethnic groups: East Asians present the highest frequencies worldwide for GSTM1 and GSTT1 deletions, which could suggest higher disorders risk for this population; in contrast, Sub-Saharan Africans presented the lowest frequency of GSTM1 worldwide, corroborating evolution inferences performed previously for other genes codifying metabolism enzymes. Also, admixture is a relevant component when analyzing frequency values for both genes, but further studies focusing on this subject are warranted.
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Affiliation(s)
- Giovana Nakanishi
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Laísa S Bertagnolli
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Murilo Pita-Oliveira
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Mariana M Scudeler
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Sabrina Torres-Loureiro
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Thaís Almeida-Dantas
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Maria Laura C Alves
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Heithor S Cirino
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Fernanda Rodrigues-Soares
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
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Schamschula E, Lahnsteiner A, Assenov Y, Hagmann W, Zaborsky N, Wiederstein M, Strobl A, Stanke F, Muley T, Plass C, Tümmler B, Risch A. Disease-related blood-based differential methylation in cystic fibrosis and its representation in lung cancer revealed a regulatory locus in PKP3 in lung epithelial cells. Epigenetics 2021; 17:837-860. [PMID: 34415821 PMCID: PMC9423854 DOI: 10.1080/15592294.2021.1959976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Cystic fibrosis (CF) is a monogenic disease, characterized by massive chronic lung inflammation. The observed variability in clinical phenotypes in monozygotic CF twins is likely associated with the extent of inflammation. This study sought to investigate inflammation-related aberrant DNA methylation in CF twins and to determine to what extent acquired methylation changes may be associated with lung cancer. Blood-based genome-wide DNA methylation analysis was performed to compare the DNA methylomes of monozygotic twins, from the European CF Twin and Sibling Study with various degrees of disease severity. Putatively inflammation-related and differentially methylated positions were selected from a large lung cancer case-control study and investigated in blood by targeted bisulphite next-generation-sequencing. An inflammation-related locus located in the Plakophilin-3 (PKP3) gene was functionally analysed regarding promoter and enhancer activity in presence and absence of methylation using luciferase reporter assays. We confirmed in a unique cohort that monozygotic twins, even if clinically discordant, have only minor differences in global DNA methylation patterns and blood cell composition. Further, we determined the most differentially methylated positions, a high proportion of which are blood cell-type-specific, whereas others may be acquired and thus have potential relevance in the context of inflammation as lung cancer risk factors. We identified a sequence in the gene body of PKP3 which is hypermethylated in blood from CF twins with severe phenotype and highly variably methylated in lung cancer patients and controls, independent of known clinical parameters, and showed that this region exhibits methylation-dependent promoter activity in lung epithelial cells.
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Affiliation(s)
| | | | - Yassen Assenov
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Hagmann
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nadja Zaborsky
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute - Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), Paracelsus Medical University, Salzburg, Austria.,Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Anna Strobl
- Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Frauke Stanke
- Clinical Research Group, Clinic for Pediatric Pneumology, Allergology and NeonatologyClinic for Pediatric Pneumology, Allergology and Neonatology, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover Medical School, Hannover, Germany
| | - Thomas Muley
- Translational Research Unit, Thoraxklinik Heidelberg, University of Heidelberg, Germany.,Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Christoph Plass
- Division of Cancer Epigenomics, 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
| | - Burkhard Tümmler
- Clinical Research Group, Clinic for Pediatric Pneumology, Allergology and NeonatologyClinic for Pediatric Pneumology, Allergology and Neonatology, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover Medical School, Hannover, Germany
| | - Angela Risch
- Department of Biosciences, University of Salzburg, Salzburg, Austria.,Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Cancer Cluster Salzburg, Salzburg, Austria.,Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
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8
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Dong YM, Qin LD, Tong YF, He QE, Wang L, Song K. Multiple genome pattern analysis and signature gene identification for the Caucasian lung adenocarcinoma patients with different tobacco exposure patterns. PeerJ 2020; 8:e8349. [PMID: 32030321 PMCID: PMC6995662 DOI: 10.7717/peerj.8349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 12/04/2019] [Indexed: 11/20/2022] Open
Abstract
Background When considering therapies for lung adenocarcinoma (LUAD) patients, the carcinogenic mechanisms of smokers are believed to differ from those who have never smoked. The rising trend in the proportion of nonsmokers in LUAD urgently requires the understanding of such differences at a molecular level for the development of precision medicine. Methods Three independent LUAD tumor sample sets—TCGA, SPORE and EDRN—were used. Genome patterns of expression (GE), copy number variation (CNV) and methylation (ME) were reviewed to discover the differences between them for both smokers and nonsmokers. Tobacco-related signature genes distinguishing these two groups of LUAD were identified using the GE, ME and CNV values of the whole genome. To do this, a novel iterative multi-step selection method based on the partial least squares (PLS) algorithm was proposed to overcome the high variable dimension and high noise inherent in the data. This method can thoroughly evaluate the importance of genes according to their statistical differences, biological functions and contributions to the tobacco exposure classification model. The kernel partial least squares (KPLS) method was used to further optimize the accuracies of the classification models. Results Forty-three, forty-eight and seventy-five genes were identified as GE, ME and CNV signatures, respectively, to distinguish smokers from nonsmokers. Using only the gene expression values of these 43 GE signature genes, ME values of the 48 ME signature genes or copy numbers of the 75 CNV signature genes, the accuracies of TCGA training and SPORE/EDRN independent validation datasets all exceed 76%. More importantly, the focal amplicon in Telomerase Reverse Transcriptase in nonsmokers, the broad deletion in ChrY in male nonsmokers and the greater amplification of MDM2 in female nonsmokers may explain why nonsmokers of both genders tend to suffer LUAD. These pattern analysis results may have clear biological interpretation in the molecular mechanism of tumorigenesis. Meanwhile, the identified signature genes may serve as potential drug targets for the precision medicine of LUAD.
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Affiliation(s)
- Yan-mei Dong
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Li-da Qin
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Yi-fan Tong
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Qi-en He
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Ling Wang
- The First Affiliated Hospital Oncology, Dalian Medical University, Dalian, Liaoning, China
| | - Kai Song
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
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9
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Lusk CM, Watza D, Dyson G, Craig D, Ratliff V, Wenzlaff AS, Lonardo F, Bollig-Fischer A, Bepler G, Purrington K, Gadgeel S, Schwartz AG. Profiling the Mutational Landscape in Known Driver Genes and Novel Genes in African American Non-Small Cell Lung Cancer Patients. Clin Cancer Res 2019; 25:4300-4308. [PMID: 30979741 PMCID: PMC6635071 DOI: 10.1158/1078-0432.ccr-18-2439] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 12/07/2018] [Accepted: 04/05/2019] [Indexed: 12/26/2022]
Abstract
PURPOSE Identifying novel driver genes and mutations in African American non-small cell lung cancer (NSCLC) cases can inform targeted therapy and improve outcomes for this traditionally underrepresented population. EXPERIMENTAL DESIGN Tumor DNA, RNA, and germline DNA were collected from African American NSCLC patients who participated in research conducted at the Karmanos Cancer Institute (KCI) in Detroit, Michigan. Known mutations were ascertained through the Sequenom LungCarta panel of 214 mutations in 26 genes, RET/ROS1 fusions, amplification of FGFR1, and expression of ALK. Paired tumor and normal DNA was whole-exome sequenced for a subset of cases without known driver mutations. RESULTS Of the 193 tumors tested, 77 known driver mutations were identified in 66 patients (34.2%). Sixty-seven of the 127 patients without a known driver mutation were sequenced. In 54 of these patients, 50 nonsynonymous mutations were predicted to have damaging effects among the 26 panel genes, 47 of which are not found in The Cancer Genome Atlas NSCLC white or African American samples. Analyzing the whole-exome sequence data using MutSig2CV identified a total of 88 genes significantly mutated at FDR q < 0.1. Only 5 of these genes were previously reported as oncogenic. CONCLUSIONS These findings suggest that broader mutation profiling including both known and novel driver genes in African Americans with NSCLC will identify additional mutations that may be useful in treatment decision-making.
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Affiliation(s)
- Christine M Lusk
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Donovan Watza
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Greg Dyson
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Douglas Craig
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Valerie Ratliff
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Angela S Wenzlaff
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Fulvio Lonardo
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Pathology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Aliccia Bollig-Fischer
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Gerold Bepler
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Kristen Purrington
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
| | - Shirish Gadgeel
- Karmanos Cancer Institute, Detroit, Michigan
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
- Currently at the Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan
| | - Ann G Schwartz
- Karmanos Cancer Institute, Detroit, Michigan.
- Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan
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Traka MH, Melchini A, Coode-Bate J, Al Kadhi O, Saha S, Defernez M, Troncoso-Rey P, Kibblewhite H, O'Neill CM, Bernuzzi F, Mythen L, Hughes J, Needs PW, Dainty JR, Savva GM, Mills RD, Ball RY, Cooper CS, Mithen RF. Transcriptional changes in prostate of men on active surveillance after a 12-mo glucoraphanin-rich broccoli intervention-results from the Effect of Sulforaphane on prostate CAncer PrEvention (ESCAPE) randomized controlled trial. Am J Clin Nutr 2019; 109:1133-1144. [PMID: 30982861 PMCID: PMC6462431 DOI: 10.1093/ajcn/nqz012] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 01/18/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Epidemiological evidence suggests that consumption of cruciferous vegetables is associated with reduced risk of prostate cancer progression, largely attributed to the biological activity of glucosinolate degradation products, such as sulforaphane derived from glucoraphanin. Because there are few therapeutic interventions for men on active surveillance for prostate cancer to reduce the risk of cancer progression, dietary approaches are an appealing option for patients. OBJECTIVE We evaluated whether consumption of a glucoraphanin-rich broccoli soup for 1 y leads to changes in gene expression in prostate tissue of men with localized prostate cancer. METHODS Forty-nine men on active surveillance completed a 3-arm parallel randomized double-blinded intervention study for 12 mo and underwent transperineal template biopsy procedures and dietary assessment at the start and end of the study. Patients received a weekly 300 mL portion of soup made from a standard broccoli (control) or from 1 of 2 experimental broccoli genotypes with enhanced concentrations of glucoraphanin, delivering 3 and 7 times that of the control, respectively. Gene expression in tissues from each patient obtained before and after the dietary intervention was quantified by RNA sequencing followed by gene set enrichment analyses. RESULTS In the control arm, there were several hundred changes in gene expression in nonneoplastic tissue during the 12 mo. These were associated with an increase in expression of potentially oncogenic pathways including inflammation processes and epithelial-mesenchymal transition. Changes in gene expression and associated oncogenic pathways were attenuated in men on the glucoraphanin-rich broccoli soup in a dose-dependent manner. Although the study was not powered to assess clinical progression, an inverse association between consumption of cruciferous vegetables and cancer progression was observed. CONCLUSION Consuming glucoraphanin-rich broccoli soup affected gene expression in the prostate of men on active surveillance, consistent with a reduction in the risk of cancer progression. This trial was registered at clinicaltrials.gov as NCT01950143.
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Affiliation(s)
- Maria H Traka
- Quadram Institute Bioscience, Norwich, United Kingdom
| | | | - Jack Coode-Bate
- Quadram Institute Bioscience, Norwich, United Kingdom,Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Omar Al Kadhi
- Quadram Institute Bioscience, Norwich, United Kingdom,Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Shikha Saha
- Quadram Institute Bioscience, Norwich, United Kingdom
| | | | | | | | | | | | - Laura Mythen
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Jackie Hughes
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Paul W Needs
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Jack R Dainty
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | | | - Robert D Mills
- Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Richard Y Ball
- Norfolk and Waveney Cellular Pathology Service, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Colin S Cooper
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Richard F Mithen
- Quadram Institute Bioscience, Norwich, United Kingdom,Liggins Institute, University of Auckland, New Zealand,Address correspondence to RFM (e-mail: )
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