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Arrieta O, Caballé-Pérez E, Hernández-Pedro N, Romero-Nuñez E, Lucio-Lozada J, Castillo-Ruiz C, Acevedo-Castillo K, María Álvarez-Gómez R, Molina-Garay C, Jiménez-Olivares M, Carrillo-Sánchez K, Cristina Mendoza-Caamal E, Cardona AF, Remon J, Alaez-Verson C. Prevalence of pathogenic or likely pathogenic germline variants in cancer predisposition genes among selected patients with lung adenocarcinoma: The GERMLUNG study. Lung Cancer 2024; 194:107864. [PMID: 38945003 DOI: 10.1016/j.lungcan.2024.107864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/23/2024] [Accepted: 06/24/2024] [Indexed: 07/02/2024]
Abstract
INTRODUCTION Pathogenic or likely pathogenic germline variants (PGVs) in cancer predisposition genes may play a role in lung cancer (LC) susceptibility. However, determining an eligible population for genetic testing remains uncertain. This study aimed to assess the prevalence of PGVs in a selected cohort of individuals with lung adenocarcinoma. METHODS A cross-sectional cohort study was conducted to assess the PGVs rate in lung adenocarcinoma patients with a family history of LC, young-onset presentation, history of never/light smoking, or actionable genomic alterations (AGAs). Sequencing was performed using Sophia Hereditary Cancer Solution panel F, including 144 cancer predisposition genes. Variants classified as pathogenic or likely pathogenic were included for further analysis. RESULTS Of 201 patients, 43 (21.4 %) exhibited PGVs, among which 64.5 % were DNA damage repair genes, and 86.1 % were clinically actionable. The main PGVs were in ATM (9.3 %), TP53 (6.9 %), BRCA2 (6.9 %), and CHEK2 (6.9 %) genes. PGVs were associated with male sex (adjusted odds ratio [aOR] 2.46, 95 % CI 1.15-5.32, p = 0.021), along with a trend toward association with AGAs (aOR 6.04, 95 % CI 0.77-49.74, p = 0.094). CONCLUSIONS In this study, a high PGVs prevalence was identified based on our selection criteria, which represents an effective strategy to identify candidates for germline genomic testing, potential screening strategies in close relatives, and personalized therapeutic modalities. Our results warrant further exploration in other populations to confirm them.
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Affiliation(s)
- Oscar Arrieta
- Thoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico; Personalized Medicine Laboratory, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - Enrique Caballé-Pérez
- Thoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - Norma Hernández-Pedro
- Personalized Medicine Laboratory, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - Eunice Romero-Nuñez
- Personalized Medicine Laboratory, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - José Lucio-Lozada
- Personalized Medicine Laboratory, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - Cesar Castillo-Ruiz
- Personalized Medicine Laboratory, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - Karla Acevedo-Castillo
- Genomic Diagnosis Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
| | - Rosa María Álvarez-Gómez
- Hereditary Cancer Clinic, Instituto Nacional de Cancerología (INCan), Mexico City 14080, Mexico.
| | - Carolina Molina-Garay
- Genomic Diagnosis Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
| | - Marco Jiménez-Olivares
- Genomic Diagnosis Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
| | - Karol Carrillo-Sánchez
- Genomic Diagnosis Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
| | | | - Andrés F Cardona
- Thoracic Oncology Unit and Direction of Research, Science and Education, Luis Carlos Sarmiento Angulo, Cancer Treatment and Research Center (CTIC), Bogotá, Colombia.
| | - Jordi Remon
- Gustave Roussy Cancer Campus, Medical Oncology Department, 114 Rue Edouard Vaillant, 94805 Villejuif, France.
| | - Carmen Alaez-Verson
- Genomic Diagnosis Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
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Panagiotou E, Vathiotis IA, Makrythanasis P, Hirsch F, Sen T, Syrigos K. Biological and therapeutic implications of the cancer-related germline mutation landscape in lung cancer. THE LANCET. RESPIRATORY MEDICINE 2024:S2213-2600(24)00124-3. [PMID: 38885686 DOI: 10.1016/s2213-2600(24)00124-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 06/20/2024]
Abstract
Although smoking is the primary cause of lung cancer, only about 15% of lifelong smokers develop the disease. Moreover, a substantial proportion of lung cancer cases occur in never-smokers, highlighting the potential role of inherited genetic factors in the cause of lung cancer. Lung cancer is significantly more common among those with a positive family history, especially for early-onset disease. Therefore, the presence of pathogenic germline variants might act synergistically with environmental factors. The incorporation of next-generation sequencing in routine clinical practice has led to the identification of cancer-predisposing mutations in an increasing proportion of patients with lung cancer. This Review summarises the landscape of germline susceptibility in lung cancer and highlights the importance of germline testing in patients diagnosed with the disease, which has the potential to identify individuals at risk, with implications for tailored therapeutic approaches and successful prevention through genetic counselling and screening.
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Affiliation(s)
- Emmanouil Panagiotou
- Third Department of Internal Medicine, Sotiria General Hospital for Chest Diseases, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis A Vathiotis
- Third Department of Internal Medicine, Sotiria General Hospital for Chest Diseases, National and Kapodistrian University of Athens, Athens, Greece.
| | - Periklis Makrythanasis
- Laboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Department of Genetic Medicine and Development, Medical School, University of Geneva, Geneva, Switzerland; Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Fred Hirsch
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Triparna Sen
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Konstantinos Syrigos
- Third Department of Internal Medicine, Sotiria General Hospital for Chest Diseases, National and Kapodistrian University of Athens, Athens, Greece
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Yu Z, Xu F, Zou J. Feasibility and safety of EGFR-TKI neoadjuvant therapy for EGFR-mutated NSCLC: A meta-analysis. Eur J Clin Pharmacol 2024; 80:505-517. [PMID: 38300281 DOI: 10.1007/s00228-024-03620-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 01/04/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND The role of neoadjuvant epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) targeted therapy for EGFR-mutated non-small cell lung cancer (NSCLC) is unclear. Previous studies have shown that EGFR-TKIs have excellent anti-tumor activity. However, almost all studies on neoadjuvant EGFR-TKI treatment for EGFR-mutated NSCLC have been non-randomized controlled trials with small sample sizes and different methods of statistical analysis, which may lead to a lack of valid metrics to assess the feasibility and safety of neoadjuvant EGFR-TKI treatment. This meta-analysis aimed to assess the efficacy and safety of neoadjuvant EGFR-TKI treatment for NSCLC patients with EGFR mutations. METHODS Relevant studies were systematically searched in PubMed, Embase, and Web of Science databases. Results including objective response rate (ORR), complete resection rate (R0), downstaging rate, pathological complete response (PCR), major pathological response (MPR), progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were used for further analysis. RESULTS This meta-analysis ultimately included 11 studies involving 344 patients with EGFR-positive mutations in NSCLC. In terms of tumor response, the pooled ORR was 57% (95% CI: 42%-73%), and in the Osimertinib subgroup, the pooled ORR was 80% (95% CI: 63%-98%). Analysis of studies that reported a downstaging rate showed the pooled downstaging rate of 41% (95% CI: 9%-74%) and the pooled downstaging rate of 74% (95% CI: 22%-100%) in the Osimertinib subgroup. In terms of surgical outcomes, the pooled pCR rate was 3% (95% CI: 0%-7%), the pooled MPR rate was 11% (95% CI: 6%-17%), and the pooled R0 resection rate was 91% (95% CI: 85%-95%). The most common adverse events associated with neoadjuvant therapy were rash and diarrhea. The pooled incidence of any grade of rash was 47.1% (95% CI: 25.4%-69.3%), and the pooled incidence of grade ≥ 3 rash was 0.6% (95% CI: 0.0%-2.5%). The pooled incidence of diarrhea of any grade was 28.8% (95% CI: 14.4%-45.4%), with the pooled incidence of grade ≥ 3 diarrhea of 0.2% (95% CI: 0.0%-1.6%). The pooled incidence of ≥ grade 3 adverse events was significantly lower. CONCLUSIONS Our meta-analysis confirmed the efficacy and safety of neoadjuvant EGFR-TKIs for the treatment of NSCLC patients with EGFR-positive mutations and that third-generation EGFR-TKIs were superior to first- and second-generation EGFR-TKIs in terms of shrinking tumor volume and lowering tumor stage; however, future large-scale and multicenter randomized controlled trials are needed to confirm this conclusion. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42023466731.
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Affiliation(s)
- Zhuchen Yu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Fei Xu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
| | - Juntao Zou
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
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Mao F, Cheung LC, Cook RJ. Two-phase designs with failure time processes subject to nonsusceptibility. Biometrics 2024; 80:ujad038. [PMID: 38446442 DOI: 10.1093/biomtc/ujad038] [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: 09/01/2023] [Revised: 12/05/2023] [Accepted: 12/21/2023] [Indexed: 03/07/2024]
Abstract
Epidemiological studies based on 2-phase designs help ensure efficient use of limited resources in situations where certain covariates are prohibitively expensive to measure for a full cohort. Typically, these designs involve 2 steps: In phase I, data on an outcome and inexpensive covariates are acquired, and in phase II, a subsample is chosen in which the costly variable of interest is measured. For right-censored data, 2-phase designs have been primarily based on the Cox model. We develop efficient 2-phase design strategies for settings involving a fraction of long-term survivors due to nonsusceptibility. Using mixture models accommodating a nonsusceptible fraction, we consider 3 regression frameworks, including (a) a logistic "cure" model, (b) a proportional hazards model for those who are susceptible, and (c) regression models for susceptibility and failure time in those susceptible. Importantly, we introduce a novel class of bivariate residual-dependent designs to address the unique challenges presented in scenario (c), which involves 2 parameters of interest. Extensive simulation studies demonstrate the superiority of our approach over various phase II subsampling schemes. We illustrate the method through applications to the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.
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Affiliation(s)
- Fangya Mao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD 20852, United States
| | - Li C Cheung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD 20852, United States
| | - Richard J Cook
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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5
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Saputra HA, Jannath KA, Kim KB, Park DS, Shim YB. Conducting polymer composite-based biosensing materials for the diagnosis of lung cancer: A review. Int J Biol Macromol 2023; 252:126149. [PMID: 37582435 DOI: 10.1016/j.ijbiomac.2023.126149] [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: 06/21/2023] [Revised: 08/02/2023] [Accepted: 08/03/2023] [Indexed: 08/17/2023]
Abstract
The development of a simple and fast cancer detection method is crucial since early diagnosis is a key factor in increasing survival rates for lung cancer patients. Among several diagnosis methods, the electrochemical sensor is the most promising one due to its outstanding performance, portability, real-time analysis, robustness, amenability, and cost-effectiveness. Conducting polymer (CP) composites have been frequently used to fabricate a robust sensor device, owing to their excellent physical and electrochemical properties as well as biocompatibility with nontoxic effects on the biological system. This review brings up a brief overview of the importance of electrochemical biosensors for the early detection of lung cancer, with a detailed discussion on the design and development of CP composite materials for biosensor applications. The review covers the electrochemical sensing of numerous lung cancer markers employing composite electrodes based on the conducting polyterthiophene, poly(3,4-ethylenedioxythiophene), polyaniline, polypyrrole, molecularly imprinted polymers, and others. In addition, a hybrid of the electrochemical biosensors and other techniques was highlighted. The outlook was also briefly discussed for the development of CP composite-based electrochemical biosensors for POC diagnostic devices.
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Affiliation(s)
- Heru Agung Saputra
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea
| | - Khatun A Jannath
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea
| | - Kwang Bok Kim
- Digital Health Care R&D Department, Korea Institute of Industrial Technology, Cheonan 31056, Republic of Korea
| | - Deog-Su Park
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea
| | - Yoon-Bo Shim
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of Korea.
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Li J, Tang M, Gao X, Tian S, Liu W. Mendelian randomization analyses explore the relationship between cathepsins and lung cancer. Commun Biol 2023; 6:1019. [PMID: 37805623 PMCID: PMC10560205 DOI: 10.1038/s42003-023-05408-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/02/2023] [Indexed: 10/09/2023] Open
Abstract
Lung cancer, a major contributor to cancer-related fatalities worldwide, involves a complex pathogenesis. Cathepsins, lysosomal cysteine proteases, play roles in various physiological and pathological processes, including tumorigenesis. Observational studies have suggested an association between cathepsins and lung cancer. However, the causal link between the cathepsin family and lung cancer remains undetermined. This study employed Mendelian randomization analyses to investigate this causal association. The univariable Mendelian randomization analysis results indicate that elevated cathepsin H levels increase the overall risk of lung cancer, adenocarcinoma, and lung cancer among smokers. Conversely, reverse Mendelian randomization analyses suggest that squamous carcinoma may lead to increased cathepsin B levels. A multivariable analysis using nine cathepsins as covariates reveals that elevated cathepsin H levels lead to an increased overall risk of lung cancer, adenocarcinoma, and lung cancer in smokers. In conclusion, cathepsin H may serve as a marker for lung cancer, potentially inspiring directions in lung cancer diagnosis and treatment.
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Affiliation(s)
- Jialin Li
- Department of Thoracic Surgery, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, Jilin, 130021, PR China
| | - Mingbo Tang
- Department of Thoracic Surgery, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, Jilin, 130021, PR China
| | - Xinliang Gao
- Department of Thoracic Surgery, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, Jilin, 130021, PR China
| | - Suyan Tian
- Division of Clinical Research, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, Jilin, 130021, PR China.
| | - Wei Liu
- Department of Thoracic Surgery, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, Jilin, 130021, PR China.
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Zhang Y, Zhang J, Zhang W, Wang M, Wang S, Xu Y, Zhao L, Li X, Li G. Mapping Multi-factor-mediated Chromatin Interactions to Assess Dysregulation of Lung Cancer-related Genes. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:573-588. [PMID: 36702236 PMCID: PMC10787015 DOI: 10.1016/j.gpb.2023.01.004] [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: 08/25/2021] [Revised: 11/30/2022] [Accepted: 01/17/2023] [Indexed: 01/25/2023]
Abstract
Studies on the lung cancer genome are indispensable for developing a cure for lung cancer. Whole-genome resequencing, genome-wide association studies, and transcriptome sequencing have greatly improved our understanding of the cancer genome. However, dysregulation of long-range chromatin interactions in lung cancer remains poorly described. To better understand the three-dimensional (3D) genomic interaction features of the lung cancer genome, we used the A549 cell line as a model system and generated high-resolution chromatin interactions associated with RNA polymerase II (RNAPII), CCCTC-binding factor (CTCF), enhancer of zeste homolog 2 (EZH2), and histone 3 lysine 27 trimethylation (H3K27me3) using long-read chromatin interaction analysis by paired-end tag sequencing (ChIA-PET). Analysis showed that EZH2/H3K27me3-mediated interactions further repressed target genes, either through loops or domains, and their distributions along the genome were distinct from and complementary to those associated with RNAPII. Cancer-related genes were highly enriched with chromatin interactions, and chromatin interactions specific to the A549 cell line were associated with oncogenes and tumor suppressor genes, such as additional repressive interactions on FOXO4 and promoter-promoter interactions between NF1 and RNF135. Knockout of an anchor associated with chromatin interactions reversed the dysregulation of cancer-related genes, suggesting that chromatin interactions are essential for proper expression of lung cancer-related genes. These findings demonstrate the 3D landscape and gene regulatory relationships of the lung cancer genome.
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Affiliation(s)
- Yan Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Jingwen Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Wei Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Mohan Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Shuangqi Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Yao Xu
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan 430070, China
| | - Lun Zhao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xingwang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Guoliang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan 430070, China.
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8
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Kim GH, Kim JM, Jee SH, Jung KJ. Associations of biomarkers for exposure to tobacco smoke with lung cancer risk in Korea. Cancer Biomark 2022; 35:409-417. [PMID: 36373307 DOI: 10.3233/cbm-220023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Nicotine metabolite ratio (NMR) can be used to predict total nicotine clearance. However, it is unknown whether NMR could be used as a marker of lung cancer risk. OBJECTIVE To evaluate the blood metabolites of nicotine relating to the risk of developing lung cancer and investigate the combined effects of NMR and cigarette per day on the risk of lung cancer. METHODS Among the 1,054 eligible subjects from the Korean Cancer Prevention Study-II biobank cohort, those with cotinine values below 0 ng/ml were excluded. Slow and fast metabolizer groups were defined using the median value of the NMR, calculated with the control group data, as the cut-point. RESULTS The multivariable Cox proportional hazard models demonstrated that, the fast metabolizer group had a significantly higher risk of lung cancer than the slow metabolizer group (Adjusted HR: 2.02, 95% CI: 1.32-3.10). Fast metabolizers who smoked more than 15 cigarettes per day had an even higher risk of lung cancer (Adjusted HR: 3.51, 95% CI: 1.96-6.29) than the slow metabolizers who smoked less than 15 cigarettes per day. CONCLUSIONS In summary, the NMR may be an effective marker for estimating tobacco-related disease risks such as lung cancer.
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Affiliation(s)
- Guen Hui Kim
- Department of Epidemiology and Health Promotion and Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Joyce Mary Kim
- Department of Occupational and Environmental Medicine, Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Korea.,Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion and Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion and Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
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Abbasian MH, Ardekani AM, Sobhani N, Roudi R. The Role of Genomics and Proteomics in Lung Cancer Early Detection and Treatment. Cancers (Basel) 2022; 14:5144. [PMID: 36291929 PMCID: PMC9600051 DOI: 10.3390/cancers14205144] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/18/2022] [Indexed: 08/17/2023] Open
Abstract
Lung cancer is the leading cause of cancer-related death worldwide, with non-small-cell lung cancer (NSCLC) being the primary type. Unfortunately, it is often diagnosed at advanced stages, when therapy leaves patients with a dismal prognosis. Despite the advances in genomics and proteomics in the past decade, leading to progress in developing tools for early diagnosis, targeted therapies have shown promising results; however, the 5-year survival of NSCLC patients is only about 15%. Low-dose computed tomography or chest X-ray are the main types of screening tools. Lung cancer patients without specific, actionable mutations are currently treated with conventional therapies, such as platinum-based chemotherapy; however, resistances and relapses often occur in these patients. More noninvasive, inexpensive, and safer diagnostic methods based on novel biomarkers for NSCLC are of paramount importance. In the current review, we summarize genomic and proteomic biomarkers utilized for the early detection and treatment of NSCLC. We further discuss future opportunities to improve biomarkers for early detection and the effective treatment of NSCLC.
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Affiliation(s)
- Mohammad Hadi Abbasian
- Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran 1497716316, Iran
| | - Ali M. Ardekani
- Department of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran 1497716316, Iran
| | - Navid Sobhani
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Raheleh Roudi
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, CA 94305, USA
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Comprehensive Analysis of NPSR1-AS1 as a Novel Diagnostic and Prognostic Biomarker Involved in Immune Infiltrates in Lung Adenocarcinoma. JOURNAL OF ONCOLOGY 2022; 2022:2099327. [PMID: 36284635 PMCID: PMC9588325 DOI: 10.1155/2022/2099327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/30/2022] [Accepted: 10/03/2022] [Indexed: 11/18/2022]
Abstract
The incidence of lung adenocarcinoma (LUAD), the most common subtype of lung cancer, continues to make lung cancer the largest cause of cancer-related deaths worldwide. Long noncoding RNAs (lncRNAs) have been shown to have a significant role in both the onset and progression of lung cancer. In this study, we aimed to investigate the clinical significance and underlying mechanism of lncRNA NPSR1-AS1 (NPSR1-AS1) in LUAD. First, we performed an analysis on TCGA and identified 229 differentially expressed lncRNAs (DELs) (including 216 upregulated lncRNAs and 13 downregulated lncRNAs). Then, we carried out a screening of the lncRNAs associated with survival, and a total of 382 survival-related lncRNAs were found. 15 survival-related DELs were identified. Among them, our attention focused on NPSR1-AS1. We found that the expression of NPSR1-AS1 was much higher in LUAD specimens compared to nontumor tissues. According to the results of the ROC assays, high NPSR1-AS1 expression had an AUC value of 0.904 for LUAD, with a 95% confidence interval ranging from 0.881 to 0.927. The expression of NPSR1-AS1 was shown to be significantly elevated in a wide variety of cancers, according to the findings of a pancancer investigation. Functional enrichment analysis confirmed that NPSR1-AS1 was involved in LUAD progression via regulating several tumor-related pathways. Patients with high levels of NPSR1-AS1 expression were shown to have a shorter disease-specific survival (DSS) or overall survival (OS) than those with low levels of NPSR1-AS1 expression, according to the findings of a clinical investigation. It was determined by multivariate analysis that NPSR1-AS1 expressions served as an independent prognostic factor for the overall survival of LUAD patients. The results of immune cell infiltration revealed that the expressions of NPSR1-AS1 were negatively associated with CD8 T cells, pDC, cytotoxic cells, mast cells, iDC, neutrophils, NK CD56dim cells, DC, Th17 cells, Tgd, and macrophages, while they were positively associated with NK CD56bright cells and B cells. Overall, our findings revealed that NPSR1-AS1 could serve as a potential biomarker to assess the clinical outcome and immune infiltration level in LUAD.
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Mukherjee S, Carrot-Zhang J. Whole-genome sequencing of East Asian lung cancers reveals new germline pathogenic variants. Cancer Cell 2022; 40:1081-1083. [PMID: 36179687 DOI: 10.1016/j.ccell.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In this issue of Cancer Cell, Wang et al. use whole-genome sequencing of lung cancer cases and controls with East Asian ancestry to comprehensively characterize both common and rare variants that predispose to lung cancer. Their findings suggest that rare promoter variants in BRCA2 are associated with increased lung cancer risk.
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Affiliation(s)
- Semanti Mukherjee
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Jian Carrot-Zhang
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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12
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Zhu J, Pan F, Cai H, Pan L, Li Y, Li L, Li Y, Wu X, Fan H. Positron emission tomography imaging of lung cancer: An overview of alternative positron emission tomography tracers beyond F18 fluorodeoxyglucose. Front Med (Lausanne) 2022; 9:945602. [PMID: 36275809 PMCID: PMC9581209 DOI: 10.3389/fmed.2022.945602] [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] [Received: 05/16/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Lung cancer has been the leading cause of cancer-related mortality in China in recent decades. Positron emission tomography-computer tomography (PET/CT) has been established in the diagnosis of lung cancer. 18F-FDG is the most widely used PET tracer in foci diagnosis, tumor staging, treatment planning, and prognosis assessment by monitoring abnormally exuberant glucose metabolism in tumors. However, with the increasing knowledge on tumor heterogeneity and biological characteristics in lung cancer, a variety of novel radiotracers beyond 18F-FDG for PET imaging have been developed. For example, PET tracers that target cellular proliferation, amino acid metabolism and transportation, tumor hypoxia, angiogenesis, pulmonary NETs and other targets, such as tyrosine kinases and cancer-associated fibroblasts, have been reported, evaluated in animal models or under clinical investigations in recent years and play increasing roles in lung cancer diagnosis. Thus, we perform a comprehensive literature review of the radiopharmaceuticals and recent progress in PET tracers for the study of lung cancer biological characteristics beyond glucose metabolism.
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Affiliation(s)
- Jing Zhu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China,Respiratory and Critical Care Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China,NHC Key Laboratory of Nuclear Technology Medical Transformation, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Fei Pan
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Huawei Cai
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lili Pan
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yalun Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lin Li
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - YunChun Li
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China,Department of Nuclear Medicine, The Second People’s Hospital of Yibin, Yibin, China
| | - Xiaoai Wu
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China,Xiaoai Wu,
| | - Hong Fan
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China,*Correspondence: Hong Fan,
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13
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Chang XW, Sun Y, Muhai JN, Li YY, Chen Y, Lu L, Chang SH, Shi J. Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies. Addiction 2022; 117:2515-2529. [PMID: 35491750 DOI: 10.1111/add.15908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 04/04/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Genomic and transcriptomic findings greatly broaden the biological knowledge regarding substance use. However, systematic convergence and comparison evidence of genome-wide findings is lacking for substance use. Here, we combined all the genome-wide findings from both substance use behavior and disorder (SUBD) and identified common and distinguishing genetic factors for different SUBDs. METHODS Systemic literature search for genome-wide association (GWAS) and RNA-seq studies of alcohol/nicotine/drug use behavior (partially meets or not reported diagnostic criteria) and alcohol use behavior and disorder (AUBD), nicotine use behavior and disorder (NUBD) and drug use behavior and disorder (DUBD) was performed using PubMed and the GWAS catalog. Drug use was focused upon cannabis, opioid, cocaine and methamphetamine use. GWAS studies required case-control or case/cohort samples. RNA-seq studies were based on brain tissues. The genes which contained significant single nucleotide polymorphism (P ≤ 1 × 10-6 ) in GWAS and reported as significant in RNA-seq studies were extracted. Pathway enrichment was performed by using Metascape. Gene interaction networks were identified by using the Protein Interaction Network Analysis database. RESULTS Total SUBD-related 2910 genes were extracted from 75 GWAS studies (2 773 889 participants) and 17 RNA-seq studies. By overlapping the genes and pathways of AUBD, NUBD and DUBD, four shared genes (CACNB2, GRIN2B, PLXDC2 and PKNOX2), four shared pathways [two Gene Ontology (GO) terms of 'modulation of chemical synaptic transmission', 'regulation of trans-synaptic signaling', two Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of 'dopaminergic synapse', 'cocaine addiction'] were identified (significantly higher than random, P < 1 × 10-5 ). The top shared KEGG pathways (Benjamini-Hochberg-corrected P-value < 0.05) in the pairwise comparison of AUBD versus DUBD, NUBD versus DUBD, AUBD versus NUBD were 'Epstein-Barr virus infection', 'protein processing in endoplasmic reticulum' and 'neuroactive ligand-receptor interaction', respectively. We also identified substance-specific genetic factors: i.e. ADH1B and ALDH2 were unique for AUBD, while CHRNA3 and CHRNA4 were unique for NUBD. CONCLUSIONS This systematic review identifies the shared and unique genes and pathways for alcohol, nicotine and drug use behaviors and disorders at the genome-wide level and highlights critical biological processes for the common and distinguishing vulnerability of substance use behaviors and disorders.
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Affiliation(s)
- Xiang-Wen Chang
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Yan Sun
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Jia-Na Muhai
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yang-Yang Li
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Yun Chen
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University, Beijing, China.,Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Su-Hua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University, Beijing, China.,Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, China.,The State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, China.,The Key Laboratory for Neuroscience of the Ministry of Education and Health, Peking University, Beijing, China
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14
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Lee HW, Lee HJ, Lee JK, Park TY, Heo EY, Kim DK. Rapid FEV1 Decline and Lung Cancer Incidence in South Korea. Chest 2022; 162:466-474. [DOI: 10.1016/j.chest.2022.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 03/02/2022] [Accepted: 03/06/2022] [Indexed: 11/17/2022] Open
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15
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Mukherjee S, Bandlamudi C, Hellmann MD, Kemel Y, Drill E, Rizvi H, Tkachuk K, Khurram A, Walsh MF, Zauderer MG, Mandelker D, Topka S, Zehir A, Srinivasan P, Selvan ME, Carlo MI, Cadoo KA, Latham A, Hamilton JG, Liu YL, Lipkin SM, Belhadj S, Bond GL, Gümüş ZH, Klein RJ, Ladanyi M, Solit DB, Robson ME, Jones DR, Kris MG, Vijai J, Stadler ZK, Amos CI, Taylor BS, Berger MF, Rudin CM, Offit K. Germline Pathogenic Variants Impact Clinicopathology of Advanced Lung Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:1450-1459. [PMID: 35477182 PMCID: PMC9250622 DOI: 10.1158/1055-9965.epi-21-1287] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/31/2022] [Accepted: 04/25/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The genetic factors that modulate risk for developing lung cancer have not been fully defined. Here, we sought to determine the prevalence and clinical significance of germline pathogenic/likely pathogenic variants (PV) in patients with advanced lung cancer. METHODS We studied clinical and tumor characteristics of germline PV in 5,118 patients who underwent prospective genomic profiling using paired tumor-normal tissue samples in 468 cancer genes. RESULTS Germline PV in high/moderate-penetrance genes were observed in 222 (4.3%) patients; of these, 193 patients had PV in DNA damage repair (DDR) pathway genes including BRCA2 (n = 54), CHEK2 (n = 30), and ATM (n = 26) that showed high rate of biallelic inactivation in tumors. BRCA2 heterozygotes with lung adenocarcinoma were more likely to be never smokers and had improved survival compared with noncarriers. Fourteen patients with germline PV in lung cancer predisposing genes (TP53, EGFR, BAP1, and MEN1) were diagnosed at younger age compared with noncarriers, and of tumor suppressors, 75% demonstrated biallelic inactivation in tumors. A significantly higher proportion of germline PV in high/moderate-penetrance genes were detected in high-risk patients who had either a family history of any cancer, multiple primary tumors, or early age at diagnosis compared with unselected patients (10.5% vs. 4.1%; P = 1.7e-04). CONCLUSIONS These data underscore the biological and clinical importance of germline mutations in highly penetrant DDR genes as a risk factor for lung cancer. IMPACT The family members of lung cancer patients harboring PV in cancer predisposing genes should be referred for genetic counseling and may benefit from proactive surveillance.
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Affiliation(s)
| | | | | | - Yelena Kemel
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Esther Drill
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Hira Rizvi
- Memorial Sloan Kettering Cancer Center, United States
| | - Kaitlyn Tkachuk
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Aliya Khurram
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Michael F Walsh
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Diana Mandelker
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Sabine Topka
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Ahmet Zehir
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | | | - Maria I Carlo
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Karen A Cadoo
- St. James’s Hospital, Trinity College Dublin, Trinity St. James’s Cancer Institute, Dublin 8, Ireland
| | - Alicia Latham
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY, United States
| | - Jada G Hamilton
- Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Ying L Liu
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Sami Belhadj
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Gareth L Bond
- University of Birmingham, Birmingham, United Kingdom
| | - Zeynep H Gümüş
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Robert J Klein
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Marc Ladanyi
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - David B Solit
- Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Mark E Robson
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - David R Jones
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Mark G Kris
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Joseph Vijai
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Zsofia K Stadler
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY, United States
| | | | - Barry S Taylor
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Michael F Berger
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Charles M Rudin
- Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Kenneth Offit
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
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16
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You D, Wang D, Wu Y, Chen X, Shao F, Wei Y, Zhang R, Lange T, Ma H, Xu H, Hu Z, Christiani DC, Shen H, Chen F, Zhao Y. Associations of genetic risk, BMI trajectories, and the risk of non-small cell lung cancer: a population-based cohort study. BMC Med 2022; 20:203. [PMID: 35658861 PMCID: PMC9169327 DOI: 10.1186/s12916-022-02400-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/10/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Body mass index (BMI) has been found to be associated with a decreased risk of non-small cell lung cancer (NSCLC); however, the effect of BMI trajectories and potential interactions with genetic variants on NSCLC risk remain unknown. METHODS Cox proportional hazards regression model was applied to assess the association between BMI trajectory and NSCLC risk in a cohort of 138,110 participants from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. One-sample Mendelian randomization (MR) analysis was further used to access the causality between BMI trajectories and NSCLC risk. Additionally, polygenic risk score (PRS) and genome-wide interaction analysis (GWIA) were used to evaluate the multiplicative interaction between BMI trajectories and genetic variants in NSCLC risk. RESULTS Compared with individuals maintaining a stable normal BMI (n = 47,982, 34.74%), BMI trajectories from normal to overweight (n = 64,498, 46.70%), from normal to obese (n = 21,259, 15.39%), and from overweight to obese (n = 4,371, 3.16%) were associated with a decreased risk of NSCLC (hazard ratio [HR] for trend = 0.78, P < 2×10-16). An MR study using BMI trajectory associated with genetic variants revealed no significant association between BMI trajectories and NSCLC risk. Further analysis of PRS showed that a higher GWAS-identified PRS (PRSGWAS) was associated with an increased risk of NSCLC, while the interaction between BMI trajectories and PRSGWAS with the NSCLC risk was not significant (PsPRS= 0.863 and PwPRS= 0.704). In GWIA analysis, four independent susceptibility loci (P < 1×10-6) were found to be associated with BMI trajectories on NSCLC risk, including rs79297227 (12q14.1, located in SLC16A7, Pinteraction = 1.01×10-7), rs2336652 (3p22.3, near CLASP2, Pinteraction = 3.92×10-7), rs16018 (19p13.2, in CACNA1A, Pinteraction = 3.92×10-7), and rs4726760 (7q34, near BRAF, Pinteraction = 9.19×10-7). Functional annotation demonstrated that these loci may be involved in the development of NSCLC by regulating cell growth, differentiation, and inflammation. CONCLUSIONS Our study has shown an association between BMI trajectories, genetic factors, and NSCLC risk. Interestingly, four novel genetic loci were identified to interact with BMI trajectories on NSCLC risk, providing more support for the aetiology research of NSCLC. TRIAL REGISTRATION http://www. CLINICALTRIALS gov , NCT01696968 .
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Affiliation(s)
- Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Danhua Wang
- Department of Public Health and Preventive Medicine, Kangda College of Nanjing Medical University, Lianyungang, 222000, China
| | - Yaqian Wu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Xin Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Fang Shao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Yongyue Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, ØsterFarimagsgade 5, 1353, Copenhagen, Denmark
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Hongyang Xu
- Department of Critical Care Medicine, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, 214023, Jiangsu, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA, 02115, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China. .,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. .,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China. .,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. .,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
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17
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The Current Status of SSRP1 in Cancer: Tribulation and Road Ahead. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:3528786. [PMID: 35463672 PMCID: PMC9020922 DOI: 10.1155/2022/3528786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 03/21/2022] [Indexed: 12/03/2022]
Abstract
Methods We search PubMed and Web of Sciences with keywords “SSRP1” and “Cancer.” Only English literature was included, and conference papers and abstract were all excluded. Results Transcription factors are classified into three groups based on their DNA binding motifs: simple helix-loop-helix (bHLH), classical zinc fingers (ZF-TFs), and homeodomains. The tumor-suppressive miR-497 (microRNA-497) acted as an undesirable regulator of SSRP1 upregulation, which led to tumor growth. The siRNA (small interfering RNA) knockdown of SSRP1 hindered cell proliferation along with incursion and glioma cell migration. Through the AKT (also known as protein kinase B) signaling pathway, SSRP1 silencing affected cancer apoptosis and cell proliferation. Conclusion The MAPK (mitogen-activated protein kinase) signaling pathway's phosphorylation was suppressed when SSRP1 was depleted. The effect of curaxins on p53 and NF-B (nuclear factor-κB), and their toxicity to cancer cells, is attributable to the FACT (facilitates chromatin transcription) complex's chromatin trapping.
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18
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Md S, Alhakamy NA, Karim S, Gabr GA, Iqubal MK, Murshid SSA. Signaling Pathway Inhibitors, miRNA, and Nanocarrier-Based Pharmacotherapeutics for the Treatment of Lung Cancer: A Review. Pharmaceutics 2021; 13:2120. [PMID: 34959401 PMCID: PMC8708027 DOI: 10.3390/pharmaceutics13122120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/03/2021] [Accepted: 12/07/2021] [Indexed: 02/07/2023] Open
Abstract
Lung cancer is one of the most commonly diagnosed cancers and is responsible for a large number of deaths worldwide. The pathogenic mechanism of lung cancer is complex and multifactorial in origin. Thus, various signaling pathways as targets for therapy are being examined, and many new drugs are in the pipeline. However, both conventional and target-based drugs have been reported to present significant adverse effects, and both types of drugs can affect the clinical outcome in addition to patient quality of life. Recently, miRNA has been identified as a promising target for lung cancer treatment. Therefore, miRNA mimics, oncomiRs, or miRNA suppressors have been developed and studied for possible anticancer effects. However, these miRNAs also suffer from the limitations of low stability, biodegradation, thermal instability, and other issues. Thus, nanocarrier-based drug delivery for the chemotherapeutic drug delivery in addition to miRNA-based systems have been developed so that existing limitations can be resolved, and enhanced therapeutic outcomes can be achieved. Thus, this review discusses lung cancer's molecular mechanism, currently approved drugs, and their adverse effects. We also discuss miRNA biosynthesis and pathogenetic role, highlight pre-clinical and clinical evidence for use of miRNA in cancer therapy, and discussed limitations of this therapy. Furthermore, nanocarrier-based drug delivery systems to deliver chemotherapeutic drugs and miRNAs are described in detail. In brief, the present review describes the mechanism and up-to-date possible therapeutic approaches for lung cancer treatment and emphasizes future prospects to bring these novel approaches from bench to bedside.
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Affiliation(s)
- Shadab Md
- Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
- Center of Excellence for Drug Research & Pharmaceutical Industries, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Mohamed Saeed Tamer Chair for Pharmaceutical Industries, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Nabil A. Alhakamy
- Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
- Center of Excellence for Drug Research & Pharmaceutical Industries, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Mohamed Saeed Tamer Chair for Pharmaceutical Industries, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Shahid Karim
- Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
| | - Gamal A Gabr
- Department of Pharmacology and Toxicology, College of Pharmacy, Prince Satam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia;
| | - Mohammad Kashif Iqubal
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India;
- Sentiss Research Centre, Product Development Department, Sentiss Pharma Pvt Ltd., Gurugram 122001, India
| | - Samar S. A. Murshid
- Department of Natural Products and Alternative Medicine, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
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19
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Long J, Long T, Li Y, Yuan P, Liu K, Li J, Cheng L. A Functional Polymorphism in Accessible Chromatin Region Confers Risk of Non-Small Cell Lung Cancer in Chinese Population. Front Oncol 2021; 11:698993. [PMID: 34552866 PMCID: PMC8450516 DOI: 10.3389/fonc.2021.698993] [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] [Received: 04/22/2021] [Accepted: 08/17/2021] [Indexed: 11/21/2022] Open
Abstract
Background The disease-associated non-coding variants identified by genome-wide association studies (GWASs) were enriched in open chromatin regions (OCRs) and implicated in gene regulation. Genetic variants in OCRs thus may exert regulatory functions and contribute to non-small cell lung cancer (NSCLC) susceptibility. Objective To fine map potential functional variants in GWAS loci that contribute to NSCLC predisposition using chromatin accessibility and histone modification data and explore their functions by population study and biochemical experimental analyses. Methods We mapped the chromatin accessible regions of lung tissues using data of assay for transposase-accessible chromatin using sequencing (ATAC-seq) in The Cancer Genome Atlas (TCGA) and prioritized potential regulatory variants within lung cancer GWAS loci by aligning with histone signatures using data of chromatin immunoprecipitation assays followed by sequencing (ChIP-seq) in the Encyclopedia of DNA Elements (ENCODE). A two-stage case–control study with 1,830 cases and 2,001 controls was conducted to explore the associations between candidate variants and NSCLC risk in Chinese population. Bioinformatic annotations and biochemical experiments were performed to further reveal the potential functions of significant variants. Results Sixteen potential functional single-nucleotide polymorphisms (SNPs) were selected as candidates from bioinformatics analyses. Three variants out of the 16 candidate SNPs survived after genotyping in stage 1 case–control study, and only the results of SNP rs13064999 were successfully validated in the analyses of stage 2 case–control study. In combined analyses, rs13064999 was significantly associated with NSCLC risk [additive model; odds ratio (OR) = 1.17; 95%CI, 1.07–1.29; p = 0.001]. Functional annotations indicated its potential enhancer bioactivity, and dual-luciferase reporter assays revealed a significant increase in luciferase activity for the reconstructed plasmid with rs13064999 A allele, when compared to the one with wild-type G allele (pA549 < 0.001, pSK-MES-1 = 0.004). Further electrophoretic mobility shift assays (EMSA) and super-shift assays confirmed a stronger affinity of HP1γ for the binding motif containing SNP rs13064999 A allele. Conclusion These findings suggested that the functional variant rs13064999, identified by the integration of ATAC-seq and ChIP-seq data, contributes to the susceptibility of NSCLC by affecting HP1γ binding, while the exact biological mechanism awaits further exploration.
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Affiliation(s)
- Jieyi Long
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Long
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Li
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peihong Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ke Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaoyuan Li
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Luu HN, Wang R, Jin A, Koh WP, Yuan JM. The association between dietary vitamin B12 and lung cancer risk: findings from a prospective cohort study. Eur J Cancer Prev 2021; 30:275-281. [PMID: 33656837 PMCID: PMC8012225 DOI: 10.1097/cej.0000000000000660] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Since previous epidemiological studies reported inconsistent associations between dietary vitamin B12 intake and lung cancer risk, more studies are warranted to clarify this association in different populations. METHODS The association between dietary B12 intake and lung cancer risk was examined in the Singapore Chinese Health Study, an ongoing prospective cohort study of 63 257 Singaporean Chinese men and women, 45-74 years of age at enrollment during 1993-1998 and were followed up for incidence of lung cancer for up to 25 years. Dietary vitamin B12 intake was derived from a validated food frequency questionnaire. Cox proportional hazard regression method was used to estimate hazard ratio and 95% confidence interval (CI) of lung cancer associated with dietary vitamin B12 intake with adjustment for multiple potential confounders. RESULTS After a mean follow-up of 17.64 years, 2001 study participants developed lung cancer. High levels of vitamin B12 intake were associated with significantly increased risk of lung cancer (Ptrend = 0.03). Compared with the lowest quintile, hazard ratios (95% CIs) of lung cancer for quintile 2, 3, 4, and 5 of vitamin B12 intake were 1.09 (0.95-1.25), 1.11 (0.96-1.28), 1.11 (0.97-1.29) and 1.18 (1.03-1.35), respectively. This positive association was more apparent in men than in women, in adenocarcinoma patients, or in participants with equal or less than 2 years follow-up than those with longer duration of follow-up. CONCLUSION Higher intake of dietary vitamin B12 was associated with increased risk of lung cancer. This highlights the potential harmful effect of vitamin B12 supplementation for lung cancer.
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Affiliation(s)
- Hung N. Luu
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Aizhen Jin
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
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21
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Hu Z, Chen J, Meng P, Li M. Association between NEAT1 polymorphism and the risk of lung cancer: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e25478. [PMID: 33879681 PMCID: PMC8078369 DOI: 10.1097/md.0000000000025478] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Long noncoding RNAs play vital roles in development and progression of lung cancers. Nuclear paraspeckle assembly transcript 1 (NEAT1) polymorphisms were reported to be closely related to lung cancer susceptibility. Recently, numerous studies have been performed to detect the association between NEAT1 polymorphisms and lung cancer susceptibility. However, their results were inconsistent and controversial. So, we carried out a meta-analysis aiming to define the association exactly. METHODS Appropriate studies were retrieved from searching Web of Science, PubMed, Scopus, and Google scholar databases, updated January 31, 2021. The pooled odds ratios with 95% confidence intervals were calculated to estimate the strength of the association between NEAT1 polymorphisms and lung cancer risk. All of the data were analyzed with Stata 16.0. RESULTS The results of this meta-analysis will be submitted to a peer-reviewed journal for publication. CONCLUSION This meta-analysis will summarize the relationship between NEAT1 polymorphism and lung cancer.
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Kim B, Park EY, Kim J, Park E, Oh JK, Lim MK. Occupational Exposure to Pesticides and Lung Cancer Risk: A Propensity Score Analyses. Cancer Res Treat 2021; 54:130-139. [PMID: 33794084 PMCID: PMC8756132 DOI: 10.4143/crt.2020.1106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 03/30/2021] [Indexed: 11/21/2022] Open
Abstract
Purpose Occupational exposure to pesticides is thought to be associated with lung cancer, but studies have yielded conflicting results. We performed a propensity score (PS) based analyses to evaluate the relationship between occupational exposure to pesticides and lung cancer risk in the Korea National Cancer Center community-based cohort study (KNCCCS). Materials and Methods During the follow-up period, 123 incidental lung cancer cases were identified, of the 7,471 subjects in the final statistical analysis. Information about occupational exposure to pesticides and other factors was collected at enrollment (2003–2010). Cox proportional hazards regression analyses were conducted. Four PS-based approaches (i.e., matching, stratification, inverse probability-of-treatment weighting, and the use of the PS as a covariate) were adopted, and the results were compared. PS was obtained from the logistic regression model. Absolute standardized differences according to occupational exposure to pesticides were provided to evaluate the balance in baseline characteristics. Results In the Cox proportional hazards regression model, the hazard ratio (HR) for lung cancer according to occupational exposure to pesticides was 1.82 (95% confidence interval [CI], 1.11 to 2.98). With all the propensity score matching (PSM) methods, the HRs for lung cancer based on exposure to pesticides ranged from 1.65 (95% CI, 1.04 to 2.64) (continuous term with PSM) to 2.84 (95% CI, 1.81 to 4.46) (stratification by 5 strata of the PS). The results varied slightly based on the method used, but the direction and statistical significance remained the same. Conclusion Our results strengthen the evidence for an association between occupational exposure to pesticides and the risk of lung cancer.
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Affiliation(s)
- Byungmi Kim
- Division of Cancer Prevention & Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Eun Young Park
- Division of Cancer Prevention & Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Jinsun Kim
- Division of Cancer Prevention & Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Eunjung Park
- Division of Cancer Prevention & Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Jin-Kyoung Oh
- Division of Cancer Prevention & Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Korea.,Graduate School of Cancer Science and Policy and Division of Cancer Prevention, National Cancer Center, Goyang, Korea
| | - Min Kyung Lim
- Graduate School of Cancer Science and Policy and Division of Cancer Prevention, National Cancer Center, Goyang, Korea
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Identifying patient-specific flow of signal transduction perturbed by multiple single-nucleotide alterations. QUANTITATIVE BIOLOGY 2020. [DOI: 10.1007/s40484-020-0227-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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24
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Fielding D, Hartel G, Pass D, Davis M, Brown M, Dent A, Agnew J, Dickie G, Ware RS, Hodge R. Volatile organic compound breath testing detects in-situ squamous cell carcinoma of bronchial and laryngeal regions and shows distinct profiles of each tumour. J Breath Res 2020; 14:046013. [PMID: 33021204 DOI: 10.1088/1752-7163/abb18a] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Volatile organic compound (VOC) breath testing of lung and head and neck squamous cell carcinoma (SCC) has been widely studied, however little is known regarding VOC profiles of in-situ SCC. A prospective study of VOC in patients with histologically proven SCC, either in-situ or advanced, and controls. Breath samples were analysed using the E-nose Cyranose ®320 and by gas chromatography/mass spectroscopy. Predictive models were developed using bootstrap forest using all 32 sensors. Data from 55 participants was analysed: 42 SCC cases comprising 20 bronchial (10 in-situ, 10 advanced) and 22 laryngeal (12 in-situ, 10 advanced), and 13 controls. There were 32 (76%) male SCC cases with mean age 63.6 (SD = 9.5) compared with 11 (85%) male controls with mean age 61.9 (SD = 10.1). Predictive models for in situ cases had good sensitivity and specificity compared to controls (overall, 95% and 69%; laryngeal, 100% and 85%; bronchial, 77% and 80%). When distinguishing in-situ and advanced tumours, sensitivity and specificity 82% and 75% respectively. For different tumour types (bronchial versus advanced laryngeal) sensitivity and specificity were 100% and 80% respectively. VOCs isolated from in-situ cancers included some previously demonstrated in advanced cancers and some novel VOCs. In-situ bronchial and laryngeal cancer can be detected by VOC analysis. Distinction from normal controls and between the two tumour types could allow screening in high risk groups for these curable lesions.
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Affiliation(s)
- David Fielding
- Department of Thoracic Medicine, Royal Brisbane and Women's Hospital, Brisbane, Australia
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Polymorphisms in DNA repair genes in lung cancer patients living in a coal-mining region. Eur J Cancer Prev 2020; 28:522-528. [PMID: 31584889 DOI: 10.1097/cej.0000000000000504] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Air pollutants and ionizing radiation are well-known carcinogens involved in the pathogenesis of lung cancer, and residents of coal-mining regions are exposed routinely to these agents. Polymorphisms in DNA repair genes may be associated with an increased risk of malignant transformation. We investigated associations between the risk of lung cancer in residents of the coal-mining region and polymorphisms in the genes APEX1 (rs1130409), hOGG1 (rs1052133), XRCC1 (rs25489, rs25487), XRCC2 (rs3218536), XRCC3 (rs861539), ADPRT/PARP1 (rs1136410), XPD/ERCC2 (rs13181), XPG/ERCC5 (rs17655), XPC (rs2228001), ATM (rs1801516), and NBS1 (rs1805794). Three hundred and forty residents of the Kemerovo Region (a coal-mining region of western Siberia) were lung cancer patients exposed to air pollutants and ionizing radiation (case) and 335 were healthy donors (control). Genotyping was performed by real-time PCR and allele-specific PCR. We discovered that polymorphisms in the XPD gene in men [log-additive model: odds ratio (OR) = 1.64, 95% confidence interval (CI): 1.17-2.31], the ATM gene in women and nonsmokers (codominant model: OR = 0.11, 95% CI: 0.02-0.49 and OR = 0.25, 95% CI: 0.08-0.72, respectively), the APEX1 gene for smokers (recessive model: OR = 2.55, 95% CI: 1.34-4.85), and the NBS1 gene for those who work in the coal industry (overdominant model: OR = 0.40, 95% CI: 0.21-0.75) are associated with an increased risk of lung cancer. Using the multifactor dimensionality reduction method, we found a model of gene-gene interactions associated with the risk of lung cancer: NBS1 (rs1805794)-XRCC1 (rs25487)-hOGG1 (rs1052133)-XPG (rs17655). These results indicate an association between combinations of polymorphisms in the studied genes and the risk of lung cancer in residents of a coal-mining region.
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Lu X, Yin B, Wang X, Wang F, Li Y, Wang N, Yang X, Jiang W. Long non-coding RNA-ZNF281 upregulates PTEN expression via downregulation of microRNA-221 in non-small cell lung cancer. Oncol Lett 2020; 20:2962-2968. [PMID: 32782613 DOI: 10.3892/ol.2020.11821] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 12/13/2019] [Indexed: 12/25/2022] Open
Abstract
A recent study reported that zinc finger protein (ZNF)281 is a tumor-suppressive long non-coding (lnc)RNA in glioma. The present study investigated the role of ZNF281 in non-small cell lung cancer (NSCLC). ZNF281 expression in paired cancer and non-cancerous tissues from patients with NSCLCs was analyzed by RNA extraction and reverse transcription-quantitative-PCR. A 5-year follow up on patients was performed to analyze the prognostic value of ZNF281 for NSCLC. Cell transfections of ZNF281 or phosphatase and tensin homolog (PTEN) expression vector and microRNA (miR)-221 mimic were performed to analyze the relationship between ZNF281, miR-221 and PTEN. Cell apoptosis and proliferation were analyzed using Cell Counting Kit-8 and flow cytometry, respectively. In patients with NSCLC, expression levels of ZNF281 were significantly lower in cancer tissues compared with in non-cancerous tissues, and lower levels of ZNF281 expression in cancerous tissues predicted poor survival. In NSCLC cells, ZNF281 overexpression resulted in upregulated PTEN and downregulated miR-221 expression, whereas cells with miR-221 overexpression exhibited downregulated PTEN expression and unaffected ZNF281 expression. In addition, ZNF281 and PTEN overexpression resulted in accelerated cell apoptosis and inhibited the cell proliferation of NSCLC cells. Notably, miR-221 overexpression exhibited an opposite effect and attenuated the functions of ZNF281 and PTEN overexpression. Therefore, ZNF281 may upregulate PTEN via downregulation of miR-221 in NSCLC, resulting in inhibition of cancer cell proliferation and the promotion of apoptosis.
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Affiliation(s)
- Xin Lu
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
| | - Bin Yin
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
| | - Xuekun Wang
- Department of Cardiology, Qingdao Central Hospital, Qingdao, Shandong 266000, P.R. China
| | - Fengchan Wang
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
| | - Yue Li
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
| | - Na Wang
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
| | - Xinai Yang
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
| | - Wenqing Jiang
- Department of Respiratory Diseases, Hiser Medical Center of Qingdao, Qingdao, Shandong 266000, P.R. China
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Gao Y, Zhao H, Mu L. LncRNA-KAT7 Negatively Regulates miR-10a Through an Epigenetic Pathway to Participate in Nonsmall Cell Lung Cancer. Cancer Biother Radiopharm 2020; 36:441-445. [PMID: 32423237 DOI: 10.1089/cbr.2019.3228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objective: LncRNA-KAT7 is a recently identified tumor suppressor in colorectal cancer, whereas its roles in other malignancies remain unclear. This study aimed to investigate the roles of KAT7 in nonsmall cell lung cancer (NSCLC). Results: The results showed that KAT7 was downregulated in NSCLC and predicted poor survival. KAT7 negatively correlated with miR-10a in NSCLC. In NSCLC cells, overexpression of KAT7 led to downregulated miR-10a, whereas silencing of KAT7 led to upregulated miR-10a. Methylation-specific polymerase chain reaction revealed that KAT7 positively regulated the methylation of miR-10a. Cell proliferation assay showed that overexpression of miR-10a led to increased proliferation rate of NSCLC cells. In addition, overexpression of KAT7 played an opposite role and reduced the effects of the overexpression of miR-10a. Conclusion: In conclusion, KAT7 negatively regulates miR-10a through epigenetic mechanisms to participate in NSCLC cell proliferation.
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Affiliation(s)
- Yan Gao
- Department of Respiratory Medicine, Affiliated Heping Hospital of Changzhi Medical College, Changzhi City, P.R. China
| | - Hong Zhao
- Department of Respiratory Medicine, Affiliated Heping Hospital of Changzhi Medical College, Changzhi City, P.R. China
| | - Lin Mu
- Department of Respiratory Medicine, Affiliated Heping Hospital of Changzhi Medical College, Changzhi City, P.R. China
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28
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Ji Z, Li Y, Xiang C, Luo X, Yuan P, Long J, Shen N, Shen Y, Deng L, Li J, Cheng L. TERT-rs33963617 and CLPTM1L-rs77518573 reduce the risk of non-small cell lung cancer in Chinese population. Gene 2020; 731:144357. [PMID: 31935503 DOI: 10.1016/j.gene.2020.144357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified 5p15.33 as a susceptible locus for lung cancer. However, for non-small cell lung cancer (NSCLC), low-frequency risk variants in this region have not been systematically studied. We intended to explore the associations between low-frequency variants on 5p15.33 and NSCLC using a next-generation sequencing based approach in this study. METHODS We have acquisited the variation spectrum of 400 NSCLC patients on 5p15.33 by sequencing the targeted region before. Candidate variants were primarily selected by restricting the minor allele frequency (MAF 1-5%) and then by comparing their frequency in 400 NSCLC patients with 1008 East Asians from The genome Aggregation Database (gnomAD). The associations between candidate variants and NSCLC were discovered and replicated in two case-control sets: discovery stage with 960 cases and 916 controls, and replication stage with 1596 cases and 1614 controls in total. RESULTS Five low-frequency variants were selected as our candidates and subsequent association analyses showed that 2 polymorphisms were significantly associated with risk of NSCLC, including rs33963617 (OR = 0.63, 95% CI: 0.53-0.76, P = 3.80 × 10-7) in TERT and rs77518573 (OR = 0.73, 95% CI: 0.63-0.84, P = 2.00 × 10-5) in upstream of CLPTM1L. When stratified by histologic subtype, a significant association was only investigated in adenocarcinoma for rs77518573. We also observed an obvious cumulative effect of the two significant variants. CONCLUSIONS We newly identified two NSCLC related variants on chromosome 5p15.33. Both TERT-rs33963617 and CLPTM1L-rs77518573 conferred reduced risk for NSCLC in Chinese Han population.
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Affiliation(s)
- Zhi Ji
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ying Li
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Cheng Xiang
- Department of Endocrinology, Xiaogan Central Hospital, Xiaogan 432000, China
| | - Xia Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Peihong Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jieyi Long
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Na Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ying Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lingyan Deng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiaoyuan Li
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Sui Y, Chi W, Feng L, Jiang J. LncRNA MAGI2-AS3 is downregulated in non-small cell lung cancer and may be a sponge of miR-25. BMC Pulm Med 2020; 20:59. [PMID: 32138716 PMCID: PMC7059274 DOI: 10.1186/s12890-020-1064-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 01/27/2020] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND This study aimed to investigate the role of lncRNA MAGI2-AS3 in non-small cell lung cancer (NSCLC). METHODS Expression levels of MAGI2-AS3 and RECK mRNA in two types of tissues (non-tumor and NCSLC) were measured by qPCR. To further investigate the interaction between MAGI2-AS3 and RECK, MAGI2-AS3 and RECK expression vectors were transfected into H1993 cells. RESULTS We found that MAGI2-AS3 and RECK were upregulated and positively correlated in NSCLC. In NSCLC cells, MAGI2-AS3 overexpression led to upregulated RECK. Bioinformatics analysis showed that MAGI2-AS3 may bind miR-25, which can directly target RECK. In NSCLC cells, miR-25 overexpression led to downregulated RECK and attenuated the effects of MAGI2-AS3 overexpression, while MAGI2-AS3 and miR-25 failed to affect each other. Cell invasion and migration analysis showed decreased NSCLC cell invasion and migration rates after MAGI2-AS3 and RECK overexpression. MiR-25 showed opposite role and reduced the effects of MAGI2-AS3 overexpression. CONCLUSION Therefore, MAGI2-AS3 may sponge miR-25 to upregulate RECK, thereby inhibiting NSCLC cell invasion and migration. TRIAL REGISTRATION HLJCM20163358592, registered by First Affiliated Hospital, Heilongjiang University of Chinese Medicine at March 3, 2016, prospectively.
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Affiliation(s)
- Yutong Sui
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Wencheng Chi
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang province, China
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Heping Road 26, Harbin, 150040, Heilongjiang province, China
| | - Li Feng
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jiakang Jiang
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang province, China.
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Heping Road 26, Harbin, 150040, Heilongjiang province, China.
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Li X, Liu J, Wang K, Zhou J, Zhang H, Zhang M, Shi Y. Polymorphisms and rare variants identified by next-generation sequencing confer risk for lung cancer in han Chinese population. Pathol Res Pract 2020; 216:152873. [PMID: 32107087 DOI: 10.1016/j.prp.2020.152873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 01/16/2020] [Accepted: 02/11/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Lung cancer is one of the leading causes of cancer death worldwide, and genetic risk factors account for a large part of its carcinogenesis. The low economic requirements and high efficiency of next-generation sequencing (NGS) make it widely used in detecting genetic alterations in pathogenesis. METHODS We performed targeted panel sequencing in 780 Han Chinese lung cancer patients using a commercial probe, and the correlations between dozens of susceptible sites were verified in 1113 healthy controls. This study used Fisher's exact test and Benjamini-Hochberg FDR correction to analyze the mutual exclusion between mutated genes, and Pearson's p was used to verify the correlations between mutations and lung cancer susceptibility. RESULTS Our results determined the mutation spectrum and showed that each lung cancer patient carried at least one DNA mutation. The most frequently mutated gene was BRCA2 (mutation rate,10.6 %.). The co-occurrence and mutual exclusion analysis of DNA damage related genes showed that gene ATM was mutually exclusive from MSH6. We conducted a further case-control study in different subtypes of lung cancer and the results described 14 mutations associated with adenocarcinoma, 9 with squamous cell carcinoma, and 4 with small cell lung cancer. These variants were novel de-novo germline mutations in lung cancer. Particularly, rs3864017 in FANCD2 showed a protective effect of lung adenocarcinoma for carriers (OR = 0.146, 95 % CI = 0.052∼0.405, Padjusted = 3.37 × 10-4). CONCLUSIONS 18 candidate mutations might alter the risk of lung cancer in the Han Chinese population, including polymorphisms rs3864017(FANCD2), rs55740729(MSH6) and 16 rare variants. The underlying mechanisms of candidate genes in lung cancer remain unclear and we suggest more functional studies on exploring how these genes affect the risk of lung cancer.
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Affiliation(s)
- Xiaoqi Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jinsheng Liu
- Shanghai Jiao Tong University Hospital, Shanghai 200030, China
| | - Ke Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Juan Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Hang Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Mancang Zhang
- DYnastyGene Biotech Co. Ltd., Building 25, No.10688 Bei Qing Road, Qingpu District, Shanghai 201700, PR China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China.
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de Alencar VTL, Formiga MN, de Lima VCC. Inherited lung cancer: a review. Ecancermedicalscience 2020; 14:1008. [PMID: 32104210 PMCID: PMC7039693 DOI: 10.3332/ecancer.2020.1008] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Indexed: 12/17/2022] Open
Abstract
Lung cancer is the most common cancer worldwide and has high rates of mortality. The major risk factor associated with this disease is tobacco smoke, but approximately 10%-25% of all lung cancer cases occur in patients who have never smoked. Data suggest that lung cancer in never-smokers has a different molecular profile, tumour microenvironment and epidemiology than that in smokers. Several risk factors have been associated with its occurrence, and the possibility of inherited predisposition is becoming clearer. A better understanding of this disease is essential for the future development of personalised screening, diagnosis and treatment approaches, with consequent reduction of mortality. In this review, we discuss historical studies of lung cancer in never-smokers and the currently available evidence of inherited predisposition to this disease.
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Affiliation(s)
| | - Maria Nirvana Formiga
- AC Camargo Cancer Center, R Prof Antônio Prudente, 211 São Paulo, SP 01509-010, Brazil
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32
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Telo S, Calderoni L, Vichi S, Zagni F, Castellucci P, Fanti S. Alternative and New Radiopharmaceutical Agents for Lung Cancer. Curr Radiopharm 2020; 13:185-194. [PMID: 31868150 PMCID: PMC8206190 DOI: 10.2174/1874471013666191223151402] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 01/27/2019] [Accepted: 11/11/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND FDG PET/CT imaging has an established role in lung cancer (LC) management. Whilst it is a sensitive technique, FDG PET/CT has a limited specificity in the differentiation between LC and benign conditions and is not capable of defining LC heterogeneity since FDG uptake varies between histotypes. OBJECTIVE To get an overview of new radiopharmaceuticals for the study of cancer biology features beyond glucose metabolism in LC. METHODS A comprehensive literature review of PubMed/Medline was performed using a combination of the following keywords: "positron emission tomography", "lung neoplasms", "non-FDG", "radiopharmaceuticals", "tracers". RESULTS Evidences suggest that proliferation markers, such as 18F-Fluorothymidine and 11CMethionine, improve LC staging and are useful in evaluating treatment response and progression free survival. 68Ga-DOTA-peptides are already routinely used in pulmonary neuroendocrine neoplasms (NENs) management and should be firstly performed in suspected NENs. 18F-Fluoromisonidazole and other radiopharmaceuticals show a promising impact on staging, prognosis assessment and therapy response in LC patients, by visualizing hypoxia and perfusion. Radiolabeled RGD-peptides, targeting angiogenesis, may have a role in LC staging, treatment outcome and therapy. PET radiopharmaceuticals tracing a specific oncogene/signal pathway, such as EGFR or ALK, are gaining interest especially for therapeutic implications. Other PET tracers, like 68Ga-PSMA-peptides or radiolabeled FAPIs, need more development in LC, though, they are promising for therapy purposes. CONCLUSION To date, the employment of most of the described tracers is limited to the experimental field, however, research development may offer innovative opportunities to improve LC staging, characterization, stratification and response assessment in an era of increased personalized therapy.
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Affiliation(s)
- Silvi Telo
- Address correspondence to this author at the Department of Metropolitan Nuclear Medicine, University of Bologna, Bologna, Italy; Tel/Fax: +390512143959; E-mail:
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Telomere-associated genes and telomeric lncRNAs are biomarker candidates in lung squamous cell carcinoma (LUSC). Exp Mol Pathol 2019; 112:104354. [PMID: 31837325 DOI: 10.1016/j.yexmp.2019.104354] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/28/2019] [Accepted: 12/06/2019] [Indexed: 12/13/2022]
Abstract
In the past decade, research efforts were made to identify molecular biomarkers useful as therapeutic targets in Non-Small Cell Lung Cancer (NSCLC), the most frequent type of lung carcinoma. NSCLC presents different histological subtypes being the most prevalent LUSC (Lung Squamous Cell Cancer) and LUAD (Lung Adenocarcinoma), and only a subset of LUAD patients' present tumors expressing known targetable genetic alterations. Telomeres and its components, including telomerase, the enzyme that replenishes telomeres, have been considered potential cancer biomarkers due to their crucial role in cell proliferation and genome stability. Our study aims to quantify expression changes affecting telomere-associated genes and ncRNAs associated with telomere regulation and maintenance in NSCLC. We first assessed the transcriptome (RNA-Seq) data of NSCLC patients from The Cancer Genome Atlas (TCGA) and then we tested the expression of telomere-associated genes and telomeric ncRNAs (TERC, telomerase RNA component, and TERRA, telomere repeat-containing RNA) in Brazilian NCSLC patient samples by quantitative RT-PCR, using matched normal adjacent tissue samples as the control. We also estimated the mean size of terminal restriction fragments (TRF) of some Brazilian NSCLC patients using telomeric Southern blot. The TCGA analysis identified alterations in the expression profile of TERT and telomere damage repair genes, mainly in the LUSC subtype. The study of Brazilian NSCLC samples by RT-qPCR showed that LUSC and LUAD express high amounts of TERT and that although the mean TRF size of tumor samples was shorter compared to normal cells, telomeres in NSCLC are probably maintained by telomerase. Also, the expression analysis of Brazilian NSCLC samples identified statistically significant alterations in the expression of genes involved with telomere damage repair, as well as in TERC and TERRA, mainly in the LUSC subtype. We, therefore, concluded that telomere maintenance genes are significantly deregulated in NSCLC, representing potential biomarkers in the LUSC subtype.
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Wang S, Cui Z, Li H, Li J, Lv X, Yang Z, Gao M, Bi Y, Zhang Z, Zhou B, Yin Z. LncRNA NEAT1 polymorphisms and lung cancer susceptibility in a Chinese Northeast Han Population: A case-control study. Pathol Res Pract 2019; 215:152723. [DOI: 10.1016/j.prp.2019.152723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/14/2019] [Accepted: 10/26/2019] [Indexed: 01/23/2023]
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Abstract
INTRODUCTION Median age at diagnosis of lung cancer is 70 years. Its presentation in patients 40 or younger is uncommon and it has been proposed that maybe it is a different disease due to its clinical characteristics and genetic makeup. There are a limited number of studies in this population and they report different clinic-pathological characteristics in comparison with older patients. METHODS We described the incidence of lung cancer patients diagnosed at age 40 or younger at the Instituto Nacional de Enfermedades Neoplasicas (INEN), Lima-Peru; from 2009 to 2017 and evaluated the characteristic of NSCLC. Epidemiologic and clinic-pathological data was collected from clinical files. Analysis was carried out using SPSSvs19 software. RESULTS We identified 3823 patients with lung cancer seen at INEN during the study period. Among these, 166 (4.3%) patients were 40 years or younger, and 137/166 (82.5%) were NSCLC. Median age at diagnosis was 36 years (range 14-40 years) and 59.1% of patients were female. A smoking history was present in 14.4% of patients. Frequent symptoms at diagnosis were cough (62.0%), chest pain (51.8%) and dyspnea (40.9%). Adenocarcinoma was the most common histological type (63.3%). Most patients had advanced disease at diagnosis (84.7%). The median overall survival was 8.2 months. CONCLUSIONS The proportion of young patients with lung cancer in our population is higher than that reported in the most recent literature. Lung cancer in the young is mostly sporadic, more frequent in women, usually adenocarcinoma type and it presents with advanced disease, resulting in a very poor survival.
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Gu F, Zhao C, Jiang T, Li X, Mao Y, Zhou C. Association Between Nicotine-dependent Gene Polymorphism and Smoking Cessation in Patients With Lung Cancer. Clin Lung Cancer 2019; 21:171-176. [PMID: 31402126 DOI: 10.1016/j.cllc.2019.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/31/2019] [Accepted: 07/09/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Patients with lung cancer continue to smoke owing to complex factors. Failure to quit smoking (defined as nicotine dependence) is significantly associated with genetic status. This study aimed to investigate the relationship between polymorphisms in nicotine dependence genes and smoking status after the diagnosis of lung cancer. PATIENTS AND METHODS A total of 240 patients with lung cancer were included from July 2017 to March 2018. According to the actual smoking condition after lung cancer diagnosis, eligible patients were divided into 3 groups: the never-smoking group, the failure to quit smoking group, and the successful smoking cessation group. Fagerstrom Test for Nicotine Dependence scores were used to evaluate the smoking status of each group. Three nicotine-dependent genes with 6 loci were detected. RESULTS Among the 240 patients, 86 were never-smokers, 51 failed to quit smoking, and 104 successfully quit smoking. The initial age of smoking in the failure to quit smoking group was significantly younger than those in the successful smoking cessation group (P = .001). There was a significant difference in the GG and AG and AA genotype distributions of CHRNA3 (rs578776) among the 3 groups (P = .003). There was also a significant difference in the distribution of CHRNA4 (rs2229959) genotypes among the 3 groups (P = .003). However, there was no significant difference in the genotype distribution of CHRNA5 (rs588765) among the 3 groups (P = .277). CONCLUSIONS Gene polymorphisms of CHRNA3 (rs578776) and CHRNA4 (rs1044396 and rs2229959) were associated with the success of smoking cessation after the diagnosis of lung cancer, which should be considered in the management of smoking cessation after patients are diagnosed with lung cancer.
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Affiliation(s)
- Fen Gu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chao Zhao
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Tao Jiang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xuefei Li
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yanjun Mao
- Nursing Department, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Caicun Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
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Li M, Li A, He R, Dang W, Liu X, Yang T, Shi P, Bu X, Gao D, Zhang N, Du S, Jin T, Chen M. Gene polymorphism of cytochrome P450 significantly affects lung cancer susceptibility. Cancer Med 2019; 8:4892-4905. [PMID: 31264381 PMCID: PMC6712450 DOI: 10.1002/cam4.2367] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 05/26/2019] [Accepted: 06/02/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Cytochrome P450 (CYPs) are heme proteins involved in the metabolism of a variety of endogenous and exogenous substances and play an important role in the carcinogenesis mechanisms of environmental and hereditary factors. The objective of this study was to investigate how polymorphisms of CYPs correlate with lung cancer (LC) susceptibility. METHODS Six single nucleotide polymorphisms (SNPs) were genotyped in this study. The chi-square test and unconditional logistic regression model were used to evaluate the correlation between SNPs and LC susceptibility. The expressions and survival data of genes in patients with LC were mined using Oncomine and Kaplan-Meier Plotter database. RESULTS Four SNPs were found to be significantly associated with the risk of LC development (P < 0.05). The most significant correlation was that the A allele and AA genotype of CYP2D6 rs1065852 were associated with increased risk of LC development (adjusted odds ratio [OR] = 1.35, 95% confidence interval [95%CI] = 1.13-1.60, P = 9.04e-4; OR = 1.83, 95%CI = 1.29-2.59, P = 0.001 respectively). Similar association of this variant was also found in the subgroups of male patients, cases in III-IV stages, positive lymph node, squamous cell carcinomas and adenocarcinomas. Whereas rs1065852 was considered as protective factor in females (adjusted OR = 0.33, 95% CI = 0.16-0.70, P = 0.004). In stratified analyses, the association of CYP24A1 rs2762934, CYP24A1 rs6068816, CYP20A1 rs2043449 polymorphism with LC risk appeared stronger in some subgroups. CYP2D6, CYP24A1 and CYP20A1 are overexpressed in some pathological types of LC (P < 0.05), and high levels of CYP2D6 and CYP20A1 indicate poor and good prognosis of LC, respectively. CONCLUSION This study revealed that rs1065852, rs2043449, rs2762s934, and rs6068816 of CYPs were associated with LC susceptibility in the Northwestern Chinese Han population; CYP2D6 and CYP20A1 were overexpressed and correlated with prognosis of LC.
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Affiliation(s)
- Meng Li
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Anqi Li
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Ruiqing He
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Wenhui Dang
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Xinyu Liu
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Tian Yang
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Puyu Shi
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Xiang Bu
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Dan Gao
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
| | - Ning Zhang
- The Department of Clinical Laboratory, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Shuli Du
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Xi'an, Shaanxi, China
| | - Tianbo Jin
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Xi'an, Shaanxi, China
| | - Mingwei Chen
- The Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Shaanxi Provincial Research Center for the Project of Prevention and Treatment of Respiratory Diseases, Xi'an, Shaanxi, China
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Li M, Liu X, Liu N, Yang T, Shi P, He R, Chen M. Association between Polymorphisms of Vitamin D Receptor and Lung Cancer Susceptibility: Evidence from an Updated Meta-analysis. J Cancer 2019; 10:3639-3649. [PMID: 31333781 PMCID: PMC6636285 DOI: 10.7150/jca.33431] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/03/2019] [Indexed: 01/04/2023] Open
Abstract
Purpose: The aim of this meta-analysis was to investigate polymorphism of Bsm1, Apal, Taq1 and Cdx-2 in vitamin D receptor (VDR) associations in relation to lung cancer (LC) susceptibility. Methods: 9 literatures were recruited into this meta-analysis from PubMed, PMC, Embase, Web of Science, Cochrane library and CNKI. STATA version 15.1 was used for statistical tests. The heterogeneity was tested using I2 statistics. According to the value of I2, the random-effect model (REM) or fixed-effect model (FEM) was selected to combine data from studies, respectively. Potential publication bias was evaluated by Egger's test. Sensitivity analysis was also performed to evaluate the stability and reliability in results. Results: Decreased susceptibility of LC was found in all genetic models contrast in Bsm1 gene of VDR (a vs. A: OR = 0.62, 95 % CI = 0.44-0.87; aa vs. AA: OR = 0.76, 95 % CI = 0.60-0.96; Aa vs. AA: OR = 0.59, 95 % CI = 0.39-0.88; aa vs. AA+Aa: OR = 0.80, 95 % CI = 0.64-0.99; Aa+aa vs. AA: OR = 0.57, 95 % CI = 0.37-0.86). The similar results were also found in partial genetic models of Taq1 (a vs. A: OR = 0.88, 95 % CI = 0.79-0.98; aa vs. AA+Aa: OR = 0.84, 95 % CI = 0.73-0.98) and Cdx-2 (Aa vs. AA: OR = 0.80, 95 % CI = 0.66-0.98; Aa+aa vs. AA: OR = 0.79, 95 % CI = 0.65-0.96). Likewise, significant correlation between Bsm1, Taq1 polymorphism and LC risk was detected among Asians. Cdx-2 polymorphism was considered as a protective factor in Caucasians, whereas no association of Apal polymorphism with LC risk was observed in Asians and Caucasians for all genetic models. Conclusion: The results of this meta-analysis suggested that Bsm1, Taq1 and Cdx-2 polymorphism may contribute to lung cancer susceptibility, more studies need be conducted to confirm in the future.
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Affiliation(s)
- Meng Li
- The Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Xinyu Liu
- The Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Na Liu
- The Department of Medical Oncology of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Tian Yang
- The Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Puyu Shi
- The Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Ruiqing He
- The Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
| | - Mingwei Chen
- The Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University. 277 West Yanta Road, Xi'an, Shaanxi 710061, China
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Kachuri L, Saarela O, Bojesen SE, Davey Smith G, Liu G, Landi MT, Caporaso NE, Christiani DC, Johansson M, Panico S, Overvad K, Trichopoulou A, Vineis P, Scelo G, Zaridze D, Wu X, Albanes D, Diergaarde B, Lagiou P, Macfarlane GJ, Aldrich MC, Tardón A, Rennert G, Olshan AF, Weissler MC, Chen C, Goodman GE, Doherty JA, Ness AR, Bickeböller H, Wichmann HE, Risch A, Field JK, Teare MD, Kiemeney LA, van der Heijden EHFM, Carroll JC, Haugen A, Zienolddiny S, Skaug V, Wünsch-Filho V, Tajara EH, Ayoub Moysés R, Daumas Nunes F, Lam S, Eluf-Neto J, Lacko M, Peters WHM, Le Marchand L, Duell EJ, Andrew AS, Franceschi S, Schabath MB, Manjer J, Arnold S, Lazarus P, Mukeriya A, Swiatkowska B, Janout V, Holcatova I, Stojsic J, Mates D, Lissowska J, Boccia S, Lesseur C, Zong X, McKay JD, Brennan P, Amos CI, Hung RJ. Mendelian Randomization and mediation analysis of leukocyte telomere length and risk of lung and head and neck cancers. Int J Epidemiol 2019; 48:751-766. [PMID: 30059977 PMCID: PMC6659464 DOI: 10.1093/ije/dyy140] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2018] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Evidence from observational studies of telomere length (TL) has been conflicting regarding its direction of association with cancer risk. We investigated the causal relevance of TL for lung and head and neck cancers using Mendelian Randomization (MR) and mediation analyses. METHODS We developed a novel genetic instrument for TL in chromosome 5p15.33, using variants identified through deep-sequencing, that were genotyped in 2051 cancer-free subjects. Next, we conducted an MR analysis of lung (16 396 cases, 13 013 controls) and head and neck cancer (4415 cases, 5013 controls) using eight genetic instruments for TL. Lastly, the 5p15.33 instrument and distinct 5p15.33 lung cancer risk loci were evaluated using two-sample mediation analysis, to quantify their direct and indirect, telomere-mediated, effects. RESULTS The multi-allelic 5p15.33 instrument explained 1.49-2.00% of TL variation in our data (p = 2.6 × 10-9). The MR analysis estimated that a 1000 base-pair increase in TL increases risk of lung cancer [odds ratio (OR) = 1.41, 95% confidence interval (CI): 1.20-1.65] and lung adenocarcinoma (OR = 1.92, 95% CI: 1.51-2.22), but not squamous lung carcinoma (OR = 1.04, 95% CI: 0.83-1.29) or head and neck cancers (OR = 0.90, 95% CI: 0.70-1.05). Mediation analysis of the 5p15.33 instrument indicated an absence of direct effects on lung cancer risk (OR = 1.00, 95% CI: 0.95-1.04). Analysis of distinct 5p15.33 susceptibility variants estimated that TL mediates up to 40% of the observed associations with lung cancer risk. CONCLUSIONS Our findings support a causal role for long telomeres in lung cancer aetiology, particularly for adenocarcinoma, and demonstrate that telomere maintenance partially mediates the lung cancer susceptibility conferred by 5p15.33 loci.
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Affiliation(s)
- Linda Kachuri
- 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
| | - Olli Saarela
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Stig Egil Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - George Davey Smith
- Population Health Science, Bristol Medical School, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Geoffrey Liu
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Ontario Cancer Institute, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - 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
| | - David C Christiani
- Departments of Epidemiology and Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Antonia Trichopoulou
- Hellenic Health Foundation, and WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Paolo Vineis
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Gary J Macfarlane
- The Institute of Applied Health Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK
| | - Melinda C Aldrich
- Department of Thoracic Surgery and Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adonina Tardón
- Faculty of Medicine, University of Oviedo and CIBERESP, Campus del Cristo, Oviedo, Spain
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mark C Weissler
- Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Gary E Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jennifer A Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Andrew R Ness
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University, Munich, Germany
| | - Angela Risch
- Division of Epigenomics & Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John K Field
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Dawn Teare
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
| | | | - June C Carroll
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Aage Haugen
- The National Institute of Occupational Health, Oslo, Norway
| | | | - Vidar Skaug
- The National Institute of Occupational Health, Oslo, Norway
| | | | - Eloiza H Tajara
- Department of Molecular Biology, School of Medicine of São José do Rio Preto, São José do Rio Preto, Brazil
| | - Raquel Ayoub Moysés
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Disciplina de Cirurgia de Cabeça e Pescoço (LIM28), São Paulo, Brasil
| | - Fabio Daumas Nunes
- Department of Oral Pathology, School of Dentistry, University of São Paulo, São Paulo, Brazil
| | | | - Jose Eluf-Neto
- Departamento de Medicina Preventiva, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Martin Lacko
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wilbert H M Peters
- Department of Gastroenterology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Eric J Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Angeline S Andrew
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | | | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Jonas Manjer
- Skåne University Hospital, Lund University, Lund, Sweden
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Philip Lazarus
- College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Anush Mukeriya
- Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Beata Swiatkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jelena Stojsic
- Department of Thoracopulmonary Pathology, Service of Pathology, Clinical Center of Serbia, Belgrade, Serbia
| | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Cancer Center Maria Sklodowska-Curie Institute of Oncology, Warsaw, Poland
| | - Stefania Boccia
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italia
- Section of Hygiene, Institute of Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Corina Lesseur
- International Agency for Research on Cancer, Lyon, France
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - James D McKay
- International Agency for Research on Cancer, Lyon, France
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - 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
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40
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Zhu D, Zhou J, Liu Y, Du L, Zheng Z, Qian X. LncRNA TP73-AS1 is upregulated in non-small cell lung cancer and predicts poor survival. Gene 2019; 710:98-102. [PMID: 31129247 DOI: 10.1016/j.gene.2019.05.044] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 05/18/2019] [Accepted: 05/22/2019] [Indexed: 12/16/2022]
Abstract
The present study was carried out to investigate the role of lncRNA TP73-AS1 in non-small cell lung cancer (NSCLC). We found that TP73-AS1 was upregulated in tumor tissues than in non-tumor tissues of NSCLC patients, and high expression levels of TP73-AS1 predicted poor survival. MiR-21 was also upregulated in tumor tissues and positively correlated with TP73-AS1. TP73-AS1 overexpression led to miR-21 upregulation, while miR-21 overexpression failed to affect TP73-AS1. TP73-AS1 and miR-21 overexpression caused the accelerated invasion and migration of NSCLC cells. However, TP73-AS1 overexpression failed to affect cell proliferation. Therefore, TP73-AS1 may upregulate miR-21 to promote NSCLC cell migration and invasion.
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Affiliation(s)
- Dapeng Zhu
- Endoscopic Center of Zhejiang Cancer Hospital, No. 1 Banshan Road, Gongshu District, Hangzhou City, Zhejiang Province 310022, PR China.
| | - Jiaming Zhou
- Endoscopic Center of Zhejiang Cancer Hospital, No. 1 Banshan Road, Gongshu District, Hangzhou City, Zhejiang Province 310022, PR China
| | - Yuanshun Liu
- Endoscopic Center of Zhejiang Cancer Hospital, No. 1 Banshan Road, Gongshu District, Hangzhou City, Zhejiang Province 310022, PR China
| | - Lingbin Du
- Zhejiang Cancer Center, Hangzhou City, Zhejiang Province 310022, PR China
| | - Zhiguo Zheng
- Institute of Cancer Hospital of Zhejiang Province, Hangzhou City, Zhejiang Province 310022, PR China
| | - Xiang Qian
- Department of Oncology, Zhejiang Cancer Hospital, Hangzhou City, Zhejiang Province 310022, PR China
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41
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Xie J, Xie G, Chen Q, Xu Z, Bai W, Chen M. Identification of a novel lncRNA GABPB1-IT1 that is downregulated and predicts a poor prognosis in non-small cell lung cancer. Oncol Lett 2019; 18:838-845. [PMID: 31289561 PMCID: PMC6540341 DOI: 10.3892/ol.2019.10357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2018] [Accepted: 04/15/2019] [Indexed: 12/25/2022] Open
Abstract
Lung cancer is the leading cause of cancer-associated mortality worldwide. Previous studies have demonstrated that long non-coding RNAs (lncRNAs) serve important roles in diverse biological processes. However, the molecular function and prognostic value of the majority of lncRNAs in non-small cell lung cancer (NSCLC) remain unknown. The present study investigated the expression of the lncRNA GABPB1 intronic transcript (GABPB1-IT1) in NSCLC tissues using publicly available databases. Subsequently, protein-protein interaction (PPI) and co-expression networks were constructed to identify key targets of lncRNA GABPB1-IT1. Furthermore, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to investigate the potential roles of lncRNA GABPB1-IT1. The current study identified that the expression of GABPB1-IT1 was significantly downregulated in NSCLC samples compared with normal samples. Furthermore, the expression levels of GABPB1-IT1 were lower in high grade NSCLC samples compared with low grade NSCLC samples. Additionally, overexpression of GABPB1-IT1 in cancer samples was associated with improved survival of patients with NSCLC. GABPB1-IT1 was revealed to be involved in the regulation of cell cycle-associated biological processes, including sister chromatid cohesion, mitotic nuclear division, DNA replication, chromosome segregation, G1/S transition of mitotic cell cycle, mitotic cytokinesis and cell division. Finally, a GABPB1-IT1-associated protein-protein interaction network was constructed for NSCLC. To the best of our knowledge, the present study was the first to demonstrate that GABPB1-IT1 is associated with the prognosis of NSCLC. The current study provides useful information to assist with the investigation of potential candidate biomarkers for diagnosis, prognosis and drug targets for NSCLC.
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Affiliation(s)
- Jianjiang Xie
- Department of Thoracic Surgery, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, P.R. China
| | - Guijing Xie
- Department of Thoracic Surgery, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, P.R. China
| | - Quhai Chen
- Department of Thoracic Surgery, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, P.R. China
| | - Zixun Xu
- Department of Thoracic Surgery, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, P.R. China
| | - Wenjie Bai
- Department of Thoracic Surgery, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, P.R. China
| | - Mindong Chen
- Department of Thoracic Surgery, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, P.R. China
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42
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Wang R, Feng N, Wang Y, Gao S, Zhang F, Qian Y, Gao M, Yu H, Zhou B, Qian B. SNPs in LncRNA genes are associated with non-small cell lung cancer in a Chinese population. J Clin Lab Anal 2019; 33:e22858. [PMID: 30980423 PMCID: PMC6528608 DOI: 10.1002/jcla.22858] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 01/02/2019] [Accepted: 01/13/2019] [Indexed: 01/06/2023] Open
Abstract
Background It has indicated that single nuclear polymorphisms (SNPs) in the regions encoding non‐coding transcripts are associated with lung cancer susceptibility. In a previous microarray study, we identified 13 differentially expressed long non‐coding RNAs (lncRNAs) in non‐small cell lung cancer (NSCLC) and associations of SNPs in these lncRNA genes with lung cancer were unknown. We conducted a case‐control study to address this issue. Methods Using the TaqMan method, we genotyped 17 SNPs located in the 13 lncRNA genes in 1294 cases with NSCLC and 1729 healthy controls. Unconditional logistic regression and Cox proportional hazards regression were used to analyze the associations of these SNPs with NSCLC risk and patient survival, respectively. These analyses were also repeated in subgroups of cases and controls stratified by gender, age group, smoking status, disease stage, and histological type. Results We identified three SNPs associated with NSCLC risk. For SNP rs498238, CC genotype was associated with lower risk compared to TT genotype (adjusted OR = 0.33, 95%CI: 0.11‐0.97, P = 0.043). For rs16901995, CT/TT genotypes were associated with lower risk compared to CC genotype in non‐smokers (adjusted OR = 0.78, 95%CI: 0.62‐0.98, P = 0.035). Variant genotypes in rs219741 were associated with NSCLC risk in young patients, and the adjusted OR was 1.47 (95%CI: 1.03‐2.10, P = 0.033) when compared to the wild genotype. No SNPs were found to be associated with patient overall survival in the study. Conclusion The study suggests that some genetic polymorphisms in the lncRNA genes may influence the risk of NSCLC among Chinese.
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Affiliation(s)
- Ruoyang Wang
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
| | - Nannan Feng
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
| | - Yu Wang
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
| | - Sumeng Gao
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
| | - Fangfang Zhang
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
| | - Ying Qian
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
| | - Ming Gao
- Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Biyun Qian
- School of Public Health, Shanghai Jiaotong University School of Medicine, Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai, China
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Li B, Huang Q, Wei GH. The Role of HOX Transcription Factors in Cancer Predisposition and Progression. Cancers (Basel) 2019; 11:cancers11040528. [PMID: 31013831 PMCID: PMC6520925 DOI: 10.3390/cancers11040528] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 04/08/2019] [Accepted: 04/10/2019] [Indexed: 12/12/2022] Open
Abstract
Homeobox (HOX) transcription factors, encoded by a subset of homeodomain superfamily genes, play pivotal roles in many aspects of cellular physiology, embryonic development, and tissue homeostasis. Findings over the past decade have revealed that mutations in HOX genes can lead to increased cancer predisposition, and HOX genes might mediate the effect of many other cancer susceptibility factors by recognizing or executing altered genetic information. Remarkably, several lines of evidence highlight the interplays between HOX transcription factors and cancer risk loci discovered by genome-wide association studies, thereby gaining molecular and biological insight into cancer etiology. In addition, deregulated HOX gene expression impacts various aspects of cancer progression, including tumor angiogenesis, cell autophagy, proliferation, apoptosis, tumor cell migration, and metabolism. In this review, we will discuss the fundamental roles of HOX genes in cancer susceptibility and progression, highlighting multiple molecular mechanisms of HOX involved gene misregulation, as well as their potential implications in clinical practice.
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Affiliation(s)
- Bo Li
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao 266237, China.
| | - Qilai Huang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao 266237, China.
| | - Gong-Hong Wei
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, 90220 Oulu, Finland.
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44
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Lu S, Yu Y, Li Z, Yu R, Wu X, Bao H, Ding Y, Shao YW, Jian H. EGFR and ERBB2 Germline Mutations in Chinese Lung Cancer Patients and Their Roles in Genetic Susceptibility to Cancer. J Thorac Oncol 2019; 14:732-736. [DOI: 10.1016/j.jtho.2018.12.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 11/09/2018] [Accepted: 12/03/2018] [Indexed: 10/27/2022]
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45
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Yoshida K, Takizawa Y, Nishino Y, Takahashi S, Kanemura S, Omori J, Kurosawa H, Maemondo M, Minami Y. Association between Family History of Cancer and Lung Cancer Risk among Japanese Men and Women. TOHOKU J EXP MED 2019; 247:99-110. [PMID: 30787235 DOI: 10.1620/tjem.247.99] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Although cigarette smoking is a major risk factor for lung cancer, genetic susceptibility may also affect lung cancer risk. To explore the role of genetic risk, this case-control study investigated the association between family history of cancer at several sites and lung cancer risk. A total of 1,733 lung cancer cases and 6,643 controls were selected from patients aged 30 years and over admitted to a single hospital in Japan between 1997 and 2009. Information on family history of cancer was collected using a self-administered questionnaire and odds ratios (ORs) were estimated by unconditional logistic regression. Family history of lung cancer in first-degree relatives was associated with an increased risk of lung cancer among both sexes. According to histology and type of relatives, a parental history of lung cancer was significantly associated with an increased risk of female adenocarcinoma (OR = 1.72). Stratification by smoking status revealed that this significant positive association in women was limited to ever-smokers (OR = 4.13). In men, a history of lung cancer in siblings was significantly associated with an increased risk of small cell carcinoma (OR = 2.28) and adenocarcinoma (OR = 2.25). Otherwise, positive associations between history of breast (OR = 1.99) and total (OR = 1.71) cancers in siblings and the risk of male adenocarcinoma were observed. These results suggest that inherited genetic susceptibility may contribute to the development of lung cancer. In men, shared exposure to environmental factors among siblings may also be responsible for the increase in lung cancer risk.
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Affiliation(s)
- Kaoru Yoshida
- Division of Community Health, Tohoku University Graduate School of Medicine.,Division of Public Health Nursing, Tohoku University Graduate School of Medicine.,Department of Occupational Health, Tohoku University Graduate School of Medicine.,Division of Cancer Epidemiology and Prevention, Miyagi Cancer Center Research Institute
| | - Yoko Takizawa
- Division of Community Health, Tohoku University Graduate School of Medicine
| | - Yoshikazu Nishino
- Division of Cancer Epidemiology and Prevention, Miyagi Cancer Center Research Institute.,Department of Epidemiology and Public Health, Kanazawa Medical University
| | | | - Seiki Kanemura
- Division of Cancer Epidemiology and Prevention, Miyagi Cancer Center Research Institute
| | - Junko Omori
- Division of Public Health Nursing, Tohoku University Graduate School of Medicine
| | - Hajime Kurosawa
- Department of Occupational Health, Tohoku University Graduate School of Medicine
| | - Makoto Maemondo
- Department of Respiratory Medicine, Miyagi Cancer Center Hospital.,Division of Pulmonary Medicine, Allergy, and Rheumatology, Department of Internal Medicine, Iwate Medical University School of Medicine
| | - Yuko Minami
- Division of Community Health, Tohoku University Graduate School of Medicine.,Division of Cancer Epidemiology and Prevention, Miyagi Cancer Center Research Institute.,Center for Preventive Medicine, Osaki Citizen Hospital
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Li Y, Xiang C, Shen N, Deng L, Luo X, Yuan P, Ji Z, Li J, Cheng L. Functional polymorphisms on chromosome 5p15.33 disturb telomere biology and confer the risk of non‐small cell lung cancer in Chinese population. Mol Carcinog 2019; 58:913-921. [DOI: 10.1002/mc.22980] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 01/10/2019] [Accepted: 01/18/2019] [Indexed: 12/15/2022]
Affiliation(s)
- Ying Li
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Cheng Xiang
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Na Shen
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Lingyan Deng
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xia Luo
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Peihong Yuan
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Zhi Ji
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Jiaoyuan Li
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Liming Cheng
- Department of Laboratory MedicineTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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Sears CR. DNA repair as an emerging target for COPD-lung cancer overlap. Respir Investig 2019; 57:111-121. [PMID: 30630751 DOI: 10.1016/j.resinv.2018.11.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 11/14/2018] [Accepted: 11/22/2018] [Indexed: 02/06/2023]
Abstract
Cigarette smoking is the leading cause of lung cancer and chronic obstructive pulmonary disease (COPD). Many of the detrimental effects of cigarette smoke have been attributed to the development of DNA damage, either directly from chemicals contained in cigarette smoke or as a product of cigarette smoke-induced inflammation and oxidative stress. In this review, we discuss the environmental, epidemiological, and physiological links between COPD and lung cancer and the likely role of DNA damage and repair in COPD and lung cancer development. We explore alterations in DNA damage repair by DNA repair proteins and pathways. We discuss emerging data supporting a key role for the DNA repair protein, xeroderma pigmentosum group C (XPC), in cigarette smoke-induced COPD and early lung cancer development. Understanding the interplay between cigarette smoke, DNA damage repair, COPD, and lung cancer may lead to prognostic tools and new, potentially targetable, pathways for lung cancer prevention and treatment.
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Affiliation(s)
- Catherine R Sears
- Division of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University, Indianapolis, Indiana; The Richard L. Roudebush Veterans Affairs Medical Center; 980W, Walnut Street, Walther Hall, C400, Indianapolis, IN, 46202, USA.
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48
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Luu HN, Cai H, Murff HJ, Xiang YB, Cai Q, Li H, Gao J, Yang G, Lan Q, Gao YT, Zheng W, Shu XO. A prospective study of dietary polyunsaturated fatty acids intake and lung cancer risk. Int J Cancer 2018; 143:2225-2237. [PMID: 29905376 PMCID: PMC6195443 DOI: 10.1002/ijc.31608] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Revised: 05/02/2018] [Accepted: 05/03/2018] [Indexed: 12/29/2022]
Abstract
Animal studies have shown that polyunsaturated fatty acids (PUFAs) have antineoplastic and anti-inflammatory properties. Results from epidemiologic studies on specific types of PUFAs for lung cancer risk, however, are inconclusive. We prospectively evaluated the association of specific types of dietary PUFA intakes and lung cancer risk in two population-based cohort studies, the Shanghai Women's Health Study (SWHS) and Shanghai Men's Health Study (SMHS) with a total of 121,970 study participants (i.e., 65,076 women and 56,894 men). Dietary fatty acid intakes were derived from data collected at the baseline using validated food frequency questionnaires (FFQs). Cox proportional hazards model was performed to assess the association between PUFAs and lung cancer risk. Total, saturated and monounsaturated fatty acid intakes were not significantly associated with lung cancer risk. Total PUFAs intake was inversely associated with lung cancer risk [HRs and respective 95% CIs for quintiles 2-5 vs quintile 1: 0.84 (0.71-0.98), 0.97 (0.83-1.13), 0.86 (0.74-1.01) and 0.85 (0.73-1.00), ptrend = 0.11]. However, DHA intake was positively associated with lung cancer risk [HRs and 95% CIs: 1.01 (0.86-1.19), 1.20 (1.03-1.41), 1.21 (1.03-1.42) and 1.24 (1.05-1.47), ptrend = 0.001]. The ratio of n-6 PUFAs to n-3 PUFAs (i.e., 7:1) was inversely associated with lung cancer risk, particularly among never-smokers and adenocarcinoma patients. Total PUFAs and the ratio between n-6 PUFAs and n-3 PUFAs were inversely associated with lung cancer risk. This study highlights an important public health impact of PUFA intakes toward intervention/prevention programs of lung cancer.
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Affiliation(s)
- Hung N Luu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
- Currently at the Division of Cancer Control and Population Sciences, University of Pittsburgh University of Pittsburgh Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Harvey J Murff
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Honglan Li
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Jing Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute (NCI), Bethesda, Maryland
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong, University School of Medicine, Shanghai, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
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49
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Rosenberger A, Hung RJ, Christiani DC, Caporaso NE, Liu G, Bojesen SE, Le Marchand L, Haiman CA, Albanes D, Aldrich MC, Tardon A, Fernández-Tardón G, Rennert G, Field JK, Kiemeney B, Lazarus P, Haugen A, Zienolddiny S, Lam S, Schabath MB, Andrew AS, Brunnsstöm H, Goodman GE, Doherty JA, Chen C, Teare MD, Wichmann HE, Manz J, Risch A, Muley TR, Johansson M, Brennan P, Landi MT, Amos CI, Pesch B, Johnen G, Brüning T, Bickeböller H, Gomolka M. Genetic modifiers of radon-induced lung cancer risk: a genome-wide interaction study in former uranium miners. Int Arch Occup Environ Health 2018; 91:937-950. [PMID: 29971594 PMCID: PMC6375683 DOI: 10.1007/s00420-018-1334-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 06/28/2018] [Indexed: 01/10/2023]
Abstract
PURPOSE Radon is a risk factor for lung cancer and uranium miners are more exposed than the general population. A genome-wide interaction analysis was carried out to identify genomic loci, genes or gene sets that modify the susceptibility to lung cancer given occupational exposure to the radioactive gas radon. METHODS Samples from 28 studies provided by the International Lung Cancer Consortium were pooled with samples of former uranium miners collected by the German Federal Office of Radiation Protection. In total, 15,077 cases and 13,522 controls, all of European ancestries, comprising 463 uranium miners were compared. The DNA of all participants was genotyped with the OncoArray. We fitted single-marker and in multi-marker models and performed an exploratory gene-set analysis to detect cumulative enrichment of significance in sets of genes. RESULTS We discovered a genome-wide significant interaction of the marker rs12440014 within the gene CHRNB4 (OR = 0.26, 95% CI 0.11-0.60, p = 0.0386 corrected for multiple testing). At least suggestive significant interaction of linkage disequilibrium blocks was observed at the chromosomal regions 18q21.23 (p = 1.2 × 10-6), 5q23.2 (p = 2.5 × 10-6), 1q21.3 (p = 3.2 × 10-6), 10p13 (p = 1.3 × 10-5) and 12p12.1 (p = 7.1 × 10-5). Genes belonging to the Gene Ontology term "DNA dealkylation involved in DNA repair" (GO:0006307; p = 0.0139) or the gene family HGNC:476 "microRNAs" (p = 0.0159) were enriched with LD-blockwise significance. CONCLUSION The well-established association of the genomic region 15q25 to lung cancer might be influenced by exposure to radon among uranium miners. Furthermore, lung cancer susceptibility is related to the functional capability of DNA damage signaling via ubiquitination processes and repair of radiation-induced double-strand breaks by the single-strand annealing mechanism.
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Affiliation(s)
- Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Humboldtallee 32, 37073, Göttingen, Germany.
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health and Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - 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
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ch A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain
| | | | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - John K Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - B Kiemeney
- Departments of Health Evidence and Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Aage Haugen
- National Institute of Occupational Health, Oslo, Norway
| | | | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Angeline S Andrew
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, USA
| | - Hans Brunnsstöm
- Laboratory Medicine Region Skåne, Department of Clinical Sciences and Pathology, Lund University, Lund, Sweden
| | | | - Jennifer A Doherty
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, USA
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Chu Chen
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - M Dawn Teare
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - H-Erich Wichmann
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University of Munich, Munich, Germany
| | - Judith Manz
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - 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
| | - Thomas R Muley
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
| | | | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Christopher I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Beate Pesch
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany
| | - Georg Johnen
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg August University Göttingen, Humboldtallee 32, 37073, Göttingen, Germany
| | - Maria Gomolka
- Unit Biological Radiation Effects, Biological Dosimetry, Department of Radiation Protection and Health, Federal Office for Radiation Protection, BfS, Neuherberg, Germany
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50
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Ferreiro-Iglesias A, Lesseur C, McKay J, Hung RJ, Han Y, Zong X, Christiani D, Johansson M, Xiao X, Li Y, Qian DC, Ji X, Liu G, Caporaso N, Scelo G, Zaridze D, Mukeriya A, Kontic M, Ognjanovic S, Lissowska J, Szołkowska M, Swiatkowska B, Janout V, Holcatova I, Bolca C, Savic M, Ognjanovic M, Bojesen SE, Wu X, Albanes D, Aldrich MC, Tardon A, Fernandez-Somoano A, Fernandez-Tardon G, Le Marchand L, Rennert G, Chen C, Doherty J, Goodman G, Bickeböller H, Wichmann HE, Risch A, Rosenberger A, Shen H, Dai J, Field JK, Davies M, Woll P, Teare MD, Kiemeney LA, van der Heijden EHFM, Yuan JM, Hong YC, Haugen A, Zienolddiny S, Lam S, Tsao MS, Johansson M, Grankvist K, Schabath MB, Andrew A, Duell E, Melander O, Brunnström H, Lazarus P, Arnold S, Slone S, Byun J, Kamal A, Zhu D, Landi MT, Amos CI, Brennan P. Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 2018; 9:3927. [PMID: 30254314 PMCID: PMC6156406 DOI: 10.1038/s41467-018-05890-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 07/30/2018] [Indexed: 12/19/2022] Open
Abstract
The basis for associations between lung cancer and major histocompatibility complex genes is not completely understood. Here the authors further consider genetic variation within the MHC region in lung cancer patients and identify independent associations within HLA genes that explain MHC lung cancer associations in Europeans and Asian populations. Lung cancer has several genetic associations identified within the major histocompatibility complex (MHC); although the basis for these associations remains elusive. Here, we analyze MHC genetic variation among 26,044 lung cancer patients and 20,836 controls densely genotyped across the MHC, using the Illumina Illumina OncoArray or Illumina 660W SNP microarray. We impute sequence variation in classical HLA genes, fine-map MHC associations for lung cancer risk with major histologies and compare results between ethnicities. Independent and novel associations within HLA genes are identified in Europeans including amino acids in the HLA-B*0801 peptide binding groove and an independent HLA-DQB1*06 loci group. In Asians, associations are driven by two independent HLA allele sets that both increase risk in HLA-DQB1*0401 and HLA-DRB1*0701; the latter better represented by the amino acid Ala-104. These results implicate several HLA–tumor peptide interactions as the major MHC factor modulating lung cancer susceptibility.
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Affiliation(s)
- Aida Ferreiro-Iglesias
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - Corina Lesseur
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - James McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, M5G 1X5, Canada
| | - Younghun Han
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, M5G 1X5, Canada
| | - David Christiani
- Department of Environmental Health, Harvard TH Chan School of Public Health, Massachusetts General Hospital/ Harvard Medical School, Boston, 02115, MA, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - Xiangjun Xiao
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Yafang Li
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - David C Qian
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Xuemei Ji
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Geoffrey Liu
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, M5G 1X5, Canada
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892-9768, MD, USA
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France
| | - David Zaridze
- Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | - Anush Mukeriya
- Russian N.N. Blokhin Cancer Research Centre, Moscow, 115478, Russian Federation
| | | | - Simona Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, 11070, Serbia
| | - Jolanta Lissowska
- M. Sklodowska-Curie Cancer Center, Institute of Oncology, Warsaw, 02-034, Poland
| | - Małgorzata Szołkowska
- Department of Pathology, National Tuberculosis and Lung Diseases Research Institute, Warsaw, 01-138, Poland
| | - Beata Swiatkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, 91-348, Poland
| | - Vladimir Janout
- Faculty of Medicine, University of Olomouc, Olomouc, 701 03, Czech Republic
| | - Ivana Holcatova
- 2nd Faculty of Medicine, Institute of Public Health and Preventive Medicine, Charles University, Prague, CZ 128 00, Czech Republic
| | - Ciprian Bolca
- Institute of Pneumology "Marius Nasta", Bucharest, RO-050159, Romania
| | - Milan Savic
- Department of Thoracic Surgery Clinical Center of Serbia Belgrade, Belgrade, 11000, Serbia
| | - Miodrag Ognjanovic
- International Organization for Cancer Prevention and Research, Belgrade, 11070, Serbia
| | - Stig Egil Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen, 2730, Denmark.,Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, 2730, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2730, Denmark
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892-9768, MD, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, 37232-4682, TA, USA
| | - Adonina Tardon
- University of Oviedo and CIBERESP, Faculty of Medicine, Oviedo, 33006, Spain
| | | | | | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96813, HI, USA
| | - Gadi Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, 3525433, Israel
| | - Chu Chen
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, 98195, WA, USA
| | - Jennifer Doherty
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, 98195, WA, USA.,Fred Hutchinson Cancer Research Center, Seattle, 98109, WA, USA
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians University, Munich, D-85764, Germany.,Helmholtz Center Munich, Institute of Epidemiology 2, Munich, D-85764, Germany.,Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, D-80333, Germany
| | - Angela Risch
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, 5020, Austria.,Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, 69120, Germany.,German Center for Lung Research (DZL), Heidelberg, 69121, Germany
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, 37073, Germany
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Jiangsu Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - John K Field
- Institute of Translational Medicine, University of Liverpool, Liverpool, L3 9TA, UK
| | - Michael Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, L3 9TA, UK
| | - Penella Woll
- Department of Oncology, University of Sheffield, Sheffield, S10 2RX, UK
| | - M Dawn Teare
- School of Health and Related Research, University Of Sheffield, England, S1 4DA, UK
| | | | | | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Pittsburgh, 15232, PA, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 110-799, Republic of Korea
| | - Aage Haugen
- National Institute of Occupational Health, Oslo, N-0033, Norway
| | | | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, V5Z 1M9, Canada
| | - Ming-Sound Tsao
- Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umeå, 901 85, Sweden
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, 901 85, Sweden
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, FL, USA
| | - Angeline Andrew
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Eric Duell
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, 08908, Spain
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Malmö, 221 00, Sweden.,Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Hans Brunnström
- Laboratory Medicine Region Skåne, Department of Clinical Sciences Lund, Pathology, Lund University, Lund, 221 00, Sweden
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, 99202, WA, USA
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, 40536-0098, KY, USA
| | - Stacey Slone
- University of Kentucky, Markey Cancer Center, Lexington, 40536-0098, KY, USA
| | - Jinyoung Byun
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Ahsan Kamal
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Dakai Zhu
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, 20892-9768, MD, USA
| | - Christopher I Amos
- Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, 03755, NH, USA
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, 69372 cedex 08, France.
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