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Biological and Genetic Mechanisms of COPD, Its Diagnosis, Treatment, and Relationship with Lung Cancer. Biomedicines 2023; 11:biomedicines11020448. [PMID: 36830984 PMCID: PMC9953173 DOI: 10.3390/biomedicines11020448] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/26/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is one of the most prevalent chronic adult diseases, with significant worldwide morbidity and mortality. Although long-term tobacco smoking is a critical risk factor for this global health problem, its molecular mechanisms remain unclear. Several phenomena are thought to be involved in the evolution of emphysema, including airway inflammation, proteinase/anti-proteinase imbalance, oxidative stress, and genetic/epigenetic modifications. Furthermore, COPD is one main risk for lung cancer (LC), the deadliest form of human tumor; formation and chronic inflammation accompanying COPD can be a potential driver of malignancy maturation (0.8-1.7% of COPD cases develop cancer/per year). Recently, the development of more research based on COPD and lung cancer molecular analysis has provided new light for understanding their pathogenesis, improving the diagnosis and treatments, and elucidating many connections between these diseases. Our review emphasizes the biological factors involved in COPD and lung cancer, the advances in their molecular mechanisms' research, and the state of the art of diagnosis and treatments. This work combines many biological and genetic elements into a single whole and strongly links COPD with lung tumor features.
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2
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Zhao Z, Yin W, Peng X, Cai Q, He B, Shi S, Peng W, Tu G, Li Y, Li D, Tao Y, Peng M, Wang X, Yu F. A Machine-Learning Approach to Developing a Predictive Signature Based on Transcriptome Profiling of Ground-Glass Opacities for Accurate Classification and Exploring the Immune Microenvironment of Early-Stage LUAD. Front Immunol 2022; 13:872387. [PMID: 35693786 PMCID: PMC9178173 DOI: 10.3389/fimmu.2022.872387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Screening for early-stage lung cancer with low-dose computed tomography is recommended for high-risk populations; consequently, the incidence of pure ground-glass opacity (pGGO) is increasing. Ground-glass opacity (GGO) is considered the appearance of early lung cancer, and there remains an unmet clinical need to understand the pathology of small GGO (<1 cm in diameter). The objective of this study was to use the transcriptome profiling of pGGO specimens <1 cm in diameter to construct a pGGO-related gene risk signature to predict the prognosis of early-stage lung adenocarcinoma (LUAD) and explore the immune microenvironment of GGO. pGGO-related differentially expressed genes (DEGs) were screened to identify prognostic marker genes with two machine learning algorithms. A 15-gene risk signature was constructed from the DEGs that were shared between the algorithms. Risk scores were calculated using the regression coefficients for the pGGO-related DEGs. Patients with Stage I/II LUAD or Stage IA LUAD and high-risk scores had a worse prognosis than patients with low-risk scores. The prognosis of high-risk patients with Stage IA LUAD was almost identical to that of patients with Stage II LUAD, suggesting that treatment strategies for patients with Stage II LUAD may be beneficial in high-risk patients with Stage IA LUAD. pGGO-related DEGs were mainly enriched in immune-related pathways. Patients with high-risk scores and high tumor mutation burden had a worse prognosis and may benefit from immunotherapy. A nomogram was constructed to facilitate the clinical application of the 15-gene risk signature. Receiver operating characteristic curves and decision curve analysis validated the predictive ability of the nomogram in patients with Stage I LUAD in the TCGA-LUAD cohort and GEO datasets.
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Affiliation(s)
- Zhenyu Zhao
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wei Yin
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiong Peng
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qidong Cai
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Boxue He
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Shuai Shi
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Weilin Peng
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Guangxu Tu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yunping Li
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
| | | | - Yongguang Tao
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
- National Health Council (NHC) Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, China
| | - Muyun Peng
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Xiang Wang, ; Muyun Peng, ; Fenglei Yu,
| | - Xiang Wang
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Xiang Wang, ; Muyun Peng, ; Fenglei Yu,
| | - Fenglei Yu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Xiang Wang, ; Muyun Peng, ; Fenglei Yu,
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3
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Li Z, Mao K, Ding B, Xue Q. Characterization of the Different Subtypes of Immune Cell Infiltration to Aid Immunotherapy. Front Cell Dev Biol 2022; 9:758479. [PMID: 35368852 PMCID: PMC8964969 DOI: 10.3389/fcell.2021.758479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 12/27/2021] [Indexed: 12/24/2022] Open
Abstract
Background?PD-1 ablation or PD-L1 specific monoclonal antibody against PD-1 can recruit the accumulation of functional T cells, leading to tumor rejection in the microenvironment and significantly improving the prognosis of various cancers. Despite these unprecedented clinical successes, intervention remission rates remain low after treatment, rarely exceeding 40%. The observation of PD-1/L1 blocking in patients is undoubtedly multifactorial, but the infiltrating degree of CD8+T cell may be an important factor for immunotherapeutic resistance. Methods:We proposed two computational algorithms to reveal the immune cell infiltration (ICI) landscape of 1646 lung adenocarcinoma patients. Three immune cell infiltration patterns were defined and the relative ICI scoring depended on principal-component analysis. Results:A high ICI score was associated with the increased tumor mutation burden and cell proliferation-related signaling pathways. Different cellular signaling pathways were observed in low ICI score subtypes, indicating active cell proliferation, and may be associated with poor prognosis. Conclusion:Our research identified that the ICI scores worked as an effective immunotherapy index, which may provide promising therapeutic strategies on immune therapeutics for lung adenocarcinoma.
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Affiliation(s)
- Zhenqing Li
- Cardiovascular Surgery Department, Affiliated Hospital of Nantong University, Nantong, China
- Medical College of Nantong University, Nantong, China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Kai Mao
- Cardiovascular Surgery Department, Affiliated Hospital of Nantong University, Nantong, China
- Medical College of Nantong University, Nantong, China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Bo Ding
- Cardiovascular Surgery Department, Affiliated Hospital of Nantong University, Nantong, China
- Medical College of Nantong University, Nantong, China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Qun Xue
- Cardiovascular Surgery Department, Affiliated Hospital of Nantong University, Nantong, China
- *Correspondence: Qun Xue,
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4
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Davenport ML, Echols JB, Silva AD, Anderson JC, Owens P, Yates C, Wei Q, Harada S, Hurst DR, Edmonds MD. miR-31 Displays Subtype Specificity in Lung Cancer. Cancer Res 2021; 81:1942-1953. [PMID: 33558335 PMCID: PMC8137562 DOI: 10.1158/0008-5472.can-20-2769] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 12/14/2020] [Accepted: 02/03/2021] [Indexed: 11/16/2022]
Abstract
miRNA rarely possess pan-oncogenic or tumor-suppressive properties. Most miRNAs function under tissue-specific contexts, acting as either tumor suppressors in one tissue, promoting oncogenesis in another, or having no apparent role in the regulation of processes associated with the hallmarks of cancer. What has been less clear is the role of miRNAs within cell types of the same tissue and the ability within each cell type to contribute to oncogenesis. In this study, we characterize the role of one such tissue-specific miRNA, miR-31, recently identified as the most oncogenic miRNA in lung adenocarcinoma, across the histologic spectrum of human lung cancer. Compared with normal lung tissue, miR-31 was overexpressed in patient lung adenocarcinoma, squamous cell carcinoma, and large-cell neuroendocrine carcinoma, but not small-cell carcinoma or carcinoids. miR-31 promoted tumor growth in mice of xenografted human adenocarcinoma and squamous cell carcinoma cell lines, but not in large- or small-cell carcinoma lines. While miR-31 did not promote primary tumor growth of large- and small-cell carcinoma, it did promote spontaneous metastasis. Mechanistically, miR-31 altered distinct cellular signaling programs within each histologic subtype, resulting in distinct phenotypic differences. This is the first report distinguishing diverse functional roles for this miRNA across the spectrum of lung cancers and suggests that miR-31 has broad clinical value in human lung malignancy. SIGNIFICANCE: These findings demonstrate the oncogenic properties of miR-31 in specific subtypes of lung cancer and highlight it as a potential therapeutic target in these subtypes. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/8/1942/F1.large.jpg.
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MESH Headings
- Adenocarcinoma of Lung/genetics
- Adenocarcinoma of Lung/metabolism
- Adenocarcinoma of Lung/pathology
- Animals
- Carcinoma, Adenosquamous/genetics
- Carcinoma, Adenosquamous/metabolism
- Carcinoma, Adenosquamous/pathology
- Carcinoma, Large Cell/genetics
- Carcinoma, Large Cell/metabolism
- Carcinoma, Large Cell/secondary
- Carcinoma, Neuroendocrine/genetics
- Carcinoma, Neuroendocrine/metabolism
- Carcinoma, Neuroendocrine/pathology
- Carcinoma, Squamous Cell/genetics
- Carcinoma, Squamous Cell/metabolism
- Carcinoma, Squamous Cell/pathology
- Cell Line, Tumor
- Cell Proliferation
- Databases, Genetic
- Female
- Humans
- Liver Neoplasms/secondary
- Lung/metabolism
- Lung Neoplasms/genetics
- Lung Neoplasms/metabolism
- Lung Neoplasms/pathology
- Lung Neoplasms/secondary
- Male
- Mice
- Mice, Nude
- MicroRNAs/metabolism
- Neoplasm Metastasis/genetics
- Neoplasm Transplantation
- Organ Specificity
- Signal Transduction/genetics
- Small Cell Lung Carcinoma/genetics
- Small Cell Lung Carcinoma/metabolism
- Small Cell Lung Carcinoma/pathology
- Small Cell Lung Carcinoma/secondary
- Tumor Suppressor Proteins/metabolism
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Affiliation(s)
| | - John B Echols
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Austin D Silva
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Joshua C Anderson
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Philip Owens
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Research Service, Department of Veterans Affairs, Denver, Colorado
| | - Clayton Yates
- Department of Biology, Tuskegee University, Tuskegee, Alabama
| | - Qing Wei
- Pathology Department, University of Alabama at Birmingham, Birmingham, Alabama
| | - Shuko Harada
- Pathology Department, University of Alabama at Birmingham, Birmingham, Alabama
| | - Douglas R Hurst
- Pathology Department, University of Alabama at Birmingham, Birmingham, Alabama
| | - Mick D Edmonds
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama.
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5
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Dimitrakopoulos FID, Antonacopoulou AG, Kottorou AE, Panagopoulos N, Kalofonou F, Sampsonas F, Scopa C, Kalofonou M, Koutras A, Makatsoris T, Dougenis D, Papadaki H, Brock M, Kalofonos HP. Expression Of Intracellular Components of the NF-κB Alternative Pathway (NF-κB2, RelB, NIK and Bcl3) is Associated With Clinical Outcome of NSCLC Patients. Sci Rep 2019; 9:14299. [PMID: 31586084 PMCID: PMC6778110 DOI: 10.1038/s41598-019-50528-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 09/13/2019] [Indexed: 02/07/2023] Open
Abstract
A growing number of studies has shed light on the role of the NF-κΒ in non-small-cell lung cancer (NSCLC). To address the significance of major effectors of the NF-κΒ alternative pathway, we investigated the relationship between NF-κΒ2, RelB, NIK and Bcl3 expression (mRNA and protein) and the clinical outcome of NSCLC patients. NF-κΒ2, RelB, NIK and Bcl3 protein expression levels were assessed by immunohistochemistry in tissue samples from 151 NSCLC patients who had curative resection. mRNA levels were also evaluated in 69 patients using quantitative real-time PCR. Although all studied proteins were overexpressed in NSCLC (P < 0.001 for all), only RelB mRNA levels were strongly increased in cancerous specimens compared to tumor-adjacent non-neoplastic tissues (P = 0.009). Moreover, NF-κB2, RelB and Bcl3 expression was associated with overall survival (OS). In particular, cytoplasmic and mRNA expression of RelB was related to 5-year OS (P = 0.014 and P = 0.006, respectively). Multivariate analysis also showed that Bcl3 expression (nuclear and cytoplasmic) was associated with increased 5-year OS (P = 0.002 and P = 0.036, respectively). In addition, higher Bcl3 mRNA levels were associated with inferior OS in stages I & II and improved OS in stages III and IV after 5-year follow-up (P = 0.004 and P = 0.001, respectively). Furthermore, stage I patients with lower NF-κB2 mRNA levels had better 5-year survival in univariate and multivariate analysis (P = 0.031 and P = 0.028, respectively). Interestingly, RelB expression (cytoplasmic and mRNA) was inversely associated with relapse rates (P = 0.027 and P = 0.015, respectively), while low NIK cytoplasmic expression was associated with lower relapse rates (P = 0.019). Cytoplasmic NIK expression as well as NF-κB2/ Bcl3 detection was associated with lymph node infiltration (P = 0.039 and P = 0.014, respectively). The present study confirms the deregulation of the NF-κB alternative pathway in NSCLC and also demonstrates the importance of this pathway in prognosis, recurrence and infiltration of regional lymph nodes.
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Affiliation(s)
- Foteinos-Ioannis D Dimitrakopoulos
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece
| | - Anna G Antonacopoulou
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece
| | - Anastasia E Kottorou
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece
| | - Nikolaos Panagopoulos
- Department of Cardiothoracic Surgery, Medical School, University of Patras, Patras, Greece
| | - Fotini Kalofonou
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece
| | - Fotios Sampsonas
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Chrisoula Scopa
- Department of Pathology, Medical School, University of Patras, Patras, Greece
| | - Melpomeni Kalofonou
- Institute of Biomedical Engineering, Imperial College London, London, United Kingdom
| | - Angelos Koutras
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece
| | - Thomas Makatsoris
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece
| | - Dimitrios Dougenis
- Department of Cardiothoracic Surgery, Medical School, University of Patras, Patras, Greece
| | - Helen Papadaki
- Department of Anatomy, Medical School, University of Patras, Patras, Greece
| | - Malcolm Brock
- Division of Thoracic Surgery, Department of Surgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Haralabos P Kalofonos
- Molecular Oncology Laboratory, Division of Oncology, Department of Internal Medicine, Medical School, University of Patras, Patras, Greece.
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