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Liu T, Wei J. Validation of a Novel Cuproptosis-Related Prognostic Gene Marker and Differential Expression Associated with Lung Adenocarcinoma. Curr Issues Mol Biol 2023; 45:8502-8518. [PMID: 37886979 PMCID: PMC10605745 DOI: 10.3390/cimb45100536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/18/2023] [Accepted: 10/20/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Cuproptosis induction is seen as a promising alternative for immunotherapies and targeted therapies in breast cancer. The objective of this research was to examine the prognostic and biological importance of cuproptosis-related genes (CRGs) in lung adenocarcinoma (LUAD). METHODS The following methods were used: GSE10072 dataset and TCGA database analysis, differential expression analysis of CRGs, and biological function (BP) and signaling pathway enrichment analysis, prognostic analysis and clinical analysis of CRGs, construction of the prognostic signature and RNA modified genes and miRNA analysis of CRGs in LUAD, immunoinfiltration analysis and immunohistochemical staining of DβH, UBE2D3, SOD1, UBE2D1 and LOXL2. RESULTS AOC1, ATOX1, CCL8, CCS, COX11, CP, LOXL2, MAP2K2, PDK1, SCO2, SOD1, UBE2D1, UBE2D3 and VEGFA showed significantly higher expression, while ATP7B, DβH, PDE3B, SLC31A2, UBE2D2, UBE2D4 and ULK2 showed lower expression in LUAD tissues than normal tissues. We also found that ATP7B (4%), AOC1 (3%) PDE3B (2%), DβH (2%), CP (1%), ULK2 (1%), PDK1 (1%), LOXL2 (1%) and UBE2D3 (1%) showed higher mutation frequencies. The univariate Cox analysis was used to identify CRGs that have prognostic value. It identified 21 genes that showed significant prognostic value, containing DβH, UBE2D3, SOD1, UBE2D1 and LOXL2. Patients with DβH up-expression have a longer survival time and patients with UBE2D3, SOD1, UBE2D1 and LOXL2 down-expression also have a longer survival time. hsa-miR-29c-3p, hsa-miR-29a-3p, hsa-miR-181c-5p, hsa-miR-1245a, etc., play an important role in the miRNA regulatory network, and in LUAD, miR-29a, miR-29c and miR-181c high expression survival was longer, and miR-1245a low expression survival was longer. We also performed an analysis to examine the relationships between DβH, LOXL2, SOD1, UBE2D1 and UBE2D3 and immune infiltration in LUAD, including B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and DCs. CONCLUSION DβH, UBE2D3, SOD1, UBE2D1, and LOXL2 are potential candidates implicated in LUAD and can be further explored for their application as diagnostic, prognostic, and therapeutic biomarkers for LUAD.
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Affiliation(s)
| | - Jianshe Wei
- Institute for Brain Sciences Research, School of Life Sciences, Henan University, Kaifeng 475004, China;
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Akhave N, Zhang J, Bayley E, Frank M, Chiou SH, Behrens C, Chen R, Hu X, Parra ER, Lee WC, Swisher S, Solis L, Weissferdt A, Moran C, Kalhor N, Zhang J, Scheet P, Vaporciyan AA, Sepesi B, Gibbons DL, Heymach JV, Lee JJ, Wistuba II, Andrew Futreal P, Zhang J, Fujimoto J, Reuben A. Immunogenomic profiling of lung adenocarcinoma reveals poorly differentiated tumors are associated with an immunogenic tumor microenvironment. Lung Cancer 2022; 172:19-28. [PMID: 35973335 DOI: 10.1016/j.lungcan.2022.08.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/05/2022] [Accepted: 08/06/2022] [Indexed: 10/15/2022]
Abstract
OBJECTIVES Pathologists have routinely observed distinct histologic patterns of growth in early-stage lung adenocarcinoma (LUAD), which have been suggested to be associated with prognosis. Herein, we investigated the relationship between LUAD patterns of growth, as defined by the updated international association for the study of lung cancer (IASLC) grading criteria, and differences in the tumor immune microenvironment to identify predictors of response to immunotherapy. METHODS 174 resected stage I-III LUAD tumors were classified by histologic pattern of growth (i.e. solid, micropapillary, acinar, papillary, and lepidic) and then grouped as well differentiated, moderately differentiated, and poorly differentiated. Comprehensive multiplatform analysis including whole exome sequencing, gene expression profiling, immunohistochemistry, CIBERSORT, and T-cell receptor sequencing was performed and groups were compared for differences in genomic drivers, immune cell infiltrate, clonality, and survival. Finally, multivariate analysis was performed adjusting for pathologic stage and smoking status. RESULTS Poorly differentiated tumors demonstrated a strong association with smoking relative to moderately differentiated or well differentiated tumors. However, unlike in prior reports, poorly differentiated tumors were not associated with a worse survival after curative-intent resection. Genomic analysis revealed that poorly differentiated tumors are associated with high tumor mutation burden but showed no association with oncogenic drivers. Immune analyses revealed that poorly differentiated tumors are associated with increased T-cell clonality, expression of PD-L1, and infiltration by cytotoxic CD8 T-cells, activated CD4 T-cells, and pro-inflammatory (M1) macrophages. Finally, multivariate analysis controlling for stage and smoking status confirmed independence of immune differences between IASLC grade groups. CONCLUSIONS Poorly differentiated tumors, as defined by the updated IASLC grading criteria, are associated with a distinct immunogenic tumor microenvironment that predicts for therapeutic response to immune agents, including checkpoint inhibitors, and should be included in the clinical trial design of immunotherapy studies in early-stage lung adenocarcinoma.
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Affiliation(s)
- Neal Akhave
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Jiexin Zhang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Erin Bayley
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Meredith Frank
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Shin-Heng Chiou
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, 195 Little Albany St, New Brunswick, NJ 08901, USA
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Runzhe Chen
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Xin Hu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Edwin Roger Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Won-Chul Lee
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Stephen Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Luisa Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Annikka Weissferdt
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Cesar Moran
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Neda Kalhor
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Ara A Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Jack J Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Ignacio I Wistuba
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA.
| | - Junya Fujimoto
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA.
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe, Houston, TX 77030, USA.
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Hu Q, Wang R, Ma H, Zhang Z, Xue Q. Cuproptosis predicts the risk and clinical outcomes of lung adenocarcinoma. Front Oncol 2022; 12:922332. [PMID: 36003780 PMCID: PMC9393616 DOI: 10.3389/fonc.2022.922332] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/12/2022] [Indexed: 12/12/2022] Open
Abstract
Copper is an essential microelement for the body and a necessary coregulator for enzymatic reactions, yet an unbalanced copper level promotes reactive oxidation and cytotoxicity, which ultimately induces cell death. Several small molecules targeting copper-induced cell death have been investigated, yet few showed promising therapeutic effects in clinical trials. In March 2022, Science first introduced the concept and mechanisms of cuproptosis, suggesting that copper-induced cell death targets the tricarboxylic acid (TCA) cycle via protein lipoylation. Does this novel form of cell death take part in tumorigenesis or tumor progression? Is cuproptosis related to clinical outcomes of diseases? Is there a cuproptosis-related panel for clinical practice in cancer treatment? Herein, based on 942 samples of lung adenocarcinoma (LUAD), we analyzed on gene set level the existence and predictive value of cuproptosis in disease diagnosis and treatment. We screened out and identified the “cupLA” panel which indicates the risk of LUAD occurrence, clinicopathological features of LUAD patients, and could guide clinicians to refine LUAD subtypes and make treatment choices.
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Affiliation(s)
- Qin Hu
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
- Medical School of Nantong University, Nantong University, Nantong, China
| | - Runtian Wang
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huiyun Ma
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
- Medical School of Nantong University, Nantong University, Nantong, China
| | - Zhouwei Zhang
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
- Medical School of Nantong University, Nantong University, Nantong, China
| | - Qun Xue
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China
- *Correspondence: Qun Xue,
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4
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Yi L, Huang P, Gu Y, Wu G, Zou X, Guo L, Wen C, Zhu J, Zhao D. Clinical Significance and Immune Landscape of Recurrence-Associated Ferroptosis Signature in Early-Stage Lung Adenocarcinoma. Front Oncol 2022; 12:794293. [PMID: 35155238 PMCID: PMC8828635 DOI: 10.3389/fonc.2022.794293] [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: 10/13/2021] [Accepted: 01/04/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND The prevalence of patients newly diagnosed with early-stage lung adenocarcinoma (LUAD) is growing alongside significant advances in screening approaches. This study aimed to construct ferroptosis-related gene score (FRGscore) for predicting recurrence, explore immune-molecular characteristics, and determine the benefit of immunotherapy in distinct ferroptosis-based patterns and FRGscore-defined subgroups. METHODS A total of 1,085 early-stage LUAD patients from four independent cohorts were included. Consensus clustering analysis was performed using 217 co-expressed FRGs to explore different ferroptosis-mediated patterns. An FRG scoring system was established to predict relapse, quantify ferroptosis-mediated patterns, and evaluate the response to immunotherapy in individual patients based on Lasso-penalized and stepwise Cox regression analyses. Immune landscape involving multiple parameters was further evaluated, stratified by cluster subtypes and FRGscore subgroups. RESULTS Two ferroptosis-mediated patterns were identified and verified, which were characterized by significantly distinct prognosis and immune profiles. Analyses of immune characteristics showed that identified ferroptosis patterns were characterized as immune-inflamed phenotype and immune-exhausted phenotype. The FRG scoring model based on 11 FRG-derived signatures panel classified patients into the FRGscore-high and FRGscore-low subgroups. Significantly longer recurrence-free survival (RFS) and overall survival (OS) were observed in the FRGscore-low subgroup. FRGscore-low patients were characterized by higher tumor mutational burden (TMB), immunoscore, immunophenoscore, and PD-L1 expression level and were associated with lower Tumor Immune Dysfunction and Exclusion (TIDE) score, whereas the opposite was observed in FRGscore-high patients. Immune-active pathways were remarkably enriched in the FRGscore-low subgroup. This scoring model remained highly predictive of prognosis across different clinical, molecular, and immune subgroups. Further analysis indicated that FRGscore-low patients exhibited higher response to anti-PD-1/PD-L1 immunotherapy and better clinical benefits based on two independent immunotherapy cohorts. CONCLUSION The proposed FRGscore could highly distinguish the recurrence patterns and molecular and immune characteristics and could predict immunotherapy prognosis, potentially representing a powerful prognostic tool for further optimization of individuated treatment and management strategies in early-stage LUAD.
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Affiliation(s)
- Lilan Yi
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Ping Huang
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Yinfang Gu
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Guowu Wu
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Xiaofang Zou
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Longhua Guo
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Chunling Wen
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Junlin Zhu
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
| | - Dongdong Zhao
- Department of Oncology, Cancer Center, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou, China
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5
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Wang Q, Zhou D, Wu F, Liang Q, He Q, Peng M, Yao T, Hu Y, Qian B, Tang J, Wang X, Liu W, Yu F, Chen C. Immune Microenvironment Signatures as Biomarkers to Predict Early Recurrence of Stage Ia-b Lung Cancer. Front Oncol 2021; 11:680287. [PMID: 34395248 PMCID: PMC8356052 DOI: 10.3389/fonc.2021.680287] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 07/14/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction Approximately 30% of patients diagnosed with stage Ia-b NSCLC die of recurrent disease after surgery. This study aimed to identify immune-related biomarkers that might predict tumor recurrence in stage Ia-b NSCLC within 40 months after curative resection. Methods Gene expression data of stage Ia-b NSCLC samples was retrieved from the TCGA database, the GEO databases, and the Second Xiangya hospital (XXEYY) database. 22 types of tumors infiltrating immune cells and the expression of immune-associated genes were investigated using CIBERSORT, immunohistochemical staining, and GSEA analyses in a total of 450 patients (80 in the training cohort and 370 in the validation cohorts). Recurrence-related immune features were selected based on the LASSO Cox regression model. Results High density of Tregs, Macrophages M0 and M1 cell could be observed in recurrence group while the memory B cell was more frequently enriched in controls, yet Tregs alone was significantly associated with tumor early recurrence in TCGA cohort, XYEYY cohort and GSE37745 dataset. A handful of immune-related genes were identified in the recurrence group. Based on Lasso regression analysis, the expressions of five immune-related genes, RLTPR, SLFN13, MIR4500HG, HYDIN and TPRG1 were closely correlated with tumor early recurrence. In the training cohort (TCGA), the combination of these five genes has sensitivity and specificity of 85% and 85%, with AUC of 0.91 (95% CI 0.84-0.98) for lung cancer early recurrence prediction, whereas in validation cohorts, the sensitivity and specificity using this panel was 61-89% and 54-82%, with AUC of 0.62-0.84. Conclusion Our study demonstrated that the immune microenvironment signatures were closely related to tumor early recurrence. Compared to tumor-infiltrating lymphocytes, the expression of five immune-related genes could be robust biomarkers to predict early recurrence of stage Ia-b NSCLC after curative resection.
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Affiliation(s)
- Qiang 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
| | - Danting Zhou
- 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
| | - Fang Wu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qingchun Liang
- Department of Pathology, The Second Xiangya Hospital of 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
| | - Tianyu Yao
- 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
| | - Yan Hu
- 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
| | - Banglun Qian
- 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
| | - Jingqun Tang
- 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
| | - 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
| | - Wenliang Liu
- 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
| | - 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
| | - Chen Chen
- 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
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Wang F, Wang S, Zhou Q. The Resistance Mechanisms of Lung Cancer Immunotherapy. Front Oncol 2020; 10:568059. [PMID: 33194652 PMCID: PMC7606919 DOI: 10.3389/fonc.2020.568059] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 09/14/2020] [Indexed: 12/14/2022] Open
Abstract
Immunotherapy has revolutionized lung cancer treatment in the past decade. By reactivating the host’s immune system, immunotherapy significantly prolongs survival in some advanced lung cancer patients. However, resistance to immunotherapy is frequent, which manifests as a lack of initial response or clinical benefit to therapy (primary resistance) or tumor progression after the initial period of response (acquired resistance). Overcoming immunotherapy resistance is challenging owing to the complex and dynamic interplay among malignant cells and the defense system. This review aims to discuss the mechanisms that drive immunotherapy resistance and the innovative strategies implemented to overcome it in lung cancer.
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Affiliation(s)
- Fen Wang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, Guangdong Lung Cancer Institute, South China University of Technology, Guangzhou, China.,Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Department of Oncology, Cancer Institute of Shenzhen-PKU-HKUST Medical Center, Peking University Shenzhen Hospital, Shenzhen, China
| | - Shubin Wang
- Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Department of Oncology, Cancer Institute of Shenzhen-PKU-HKUST Medical Center, Peking University Shenzhen Hospital, Shenzhen, China
| | - Qing Zhou
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, Guangdong Lung Cancer Institute, South China University of Technology, Guangzhou, China
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Saab S, Zalzale H, Rahal Z, Khalifeh Y, Sinjab A, Kadara H. Insights Into Lung Cancer Immune-Based Biology, Prevention, and Treatment. Front Immunol 2020; 11:159. [PMID: 32117295 PMCID: PMC7026250 DOI: 10.3389/fimmu.2020.00159] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 01/21/2020] [Indexed: 12/12/2022] Open
Abstract
Lung cancer is the number one cause of cancer-related deaths. The malignancy is characterized by dismal prognosis and poor clinical outcome mostly due to advanced-stage at diagnosis, thereby inflicting a heavy burden on public health worldwide. Recent breakthroughs in immunotherapy have greatly benefited a subset of lung cancer patients, and more importantly, they are undauntedly bringing forth a paradigm shift in the drugs approved for cancer treatment, by introducing "tumor-type agnostic therapies". Yet, and to fulfill immunotherapy's potential of personalized cancer treatment, demarcating the immune and genomic landscape of cancers at their earliest possible stages will be crucial to identify ideal targets for early treatment and to predict how a particular patient will fare with immunotherapy. Recent genomic surveys of premalignant lung cancer have shed light on early alterations in the evolution of lung cancer. More recently, the advent of immunogenomic technologies has provided prodigious opportunities to study the multidimensional landscape of lung tumors as well as their microenvironment at the molecular, genomic, and cellular resolution. In this review, we will summarize the current state of immune-based therapies for cancer, with a focus on lung malignancy, and highlight learning outcomes from clinical and preclinical studies investigating the naïve immune biology of lung cancer. The review also collates immunogenomic-based evidence from seminal reports which collectively warrant future investigations of premalignancy, the tumor-adjacent normal-appearing lung tissue, pulmonary inflammatory conditions such as chronic obstructive pulmonary disease, as well as systemic microbiome imbalance. Such future directions enable novel insights into the evolution of lung cancers and, thus, can provide a low-hanging fruit of targets for early immune-based treatment of this fatal malignancy.
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Affiliation(s)
- Sara Saab
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Hussein Zalzale
- School of Medicine, American University of Beirut, Beirut, Lebanon
| | - Zahraa Rahal
- School of Medicine, American University of Beirut, Beirut, Lebanon
| | - Yara Khalifeh
- School of Medicine, American University of Beirut, Beirut, Lebanon
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Humam Kadara
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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Yu DH, Huang JY, Liu XP, Ruan XL, Chen C, Hu WD, Li S. Effects of hub genes on the clinicopathological and prognostic features of lung adenocarcinoma. Oncol Lett 2020; 19:1203-1214. [PMID: 31966050 PMCID: PMC6956410 DOI: 10.3892/ol.2019.11193] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Accepted: 11/07/2019] [Indexed: 02/06/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is a common malignancy; however, the majority of its underlying molecular mechanisms remain unknown. In the present study, weighted gene co-expression network analysis was applied to construct gene co-expression networks for the GSE19804 dataset, in order to screen hub genes associated with the pathogenesis of LUAD. In addition, with the aid of the Database for Annotation, Visualization and Integrated Discovery, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes, pathway enrichment analyses were performed on the genes in the selected module. Using the GSE40791 dataset and The Cancer Genome Atlas database, the hub genes were identified. It was discovered that the turquoise module was the most significant module associated with the tumor stage of LUAD. After performing functional enrichment analyses, it was indicated that the turquoise module was mainly enriched in signal transduction. Additionally, at the transcriptional and translational level, nine hub genes were identified and validated: Carbonic anhydrase 4 (CA4), platelet and endothelial cell adhesion molecule 1 (PECAM1), DnaJ member B4 (DNAJB4), advanced glycosylation end-product specific receptor (AGER), GTPase, IMAP family member 6 (GIMAP6), chromosome 10 open reading frame 54 (C10orf54), dedicator of cytokinesis 4 (DOCK4), Golgi membrane protein 1 (GOLM1) and platelet activating factor acetylhydrolase 1b catalytic subunit 3 (PAFAH1B3). CA4, PECAM1, DNAJB4, AGER, GIMAP6, C10orf54 and DOCK4 were expressed at lower levels in the tumor samples, whereas GOLM1 and PAFAH1B3 were highly expressed in tumor samples. In addition, all hub genes were associated with prognosis. In conclusion, one module and nine genes were recognized to be associated with the tumor stage of LUAD. These findings may enhance the understanding of the progression and prognosis of LUAD.
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Affiliation(s)
- Dong-Hu Yu
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Jing-Yu Huang
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Xiao-Ping Liu
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Xiao-Lan Ruan
- Department of Hematology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Chen Chen
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
- Human Genetics Resource Preservation Center of Hubei Province, Wuhan, Hubei 430071, P.R. China
| | - Wei-Dong Hu
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Sheng Li
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
- Human Genetics Resource Preservation Center of Hubei Province, Wuhan, Hubei 430071, P.R. China
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9
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Daouk R, Hassane M, Bahmad HF, Sinjab A, Fujimoto J, Abou-Kheir W, Kadara H. Genome-Wide and Phenotypic Evaluation of Stem Cell Progenitors Derived From Gprc5a-Deficient Murine Lung Adenocarcinoma With Somatic Kras Mutations. Front Oncol 2019; 9:207. [PMID: 31001473 PMCID: PMC6454871 DOI: 10.3389/fonc.2019.00207] [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: 12/21/2018] [Accepted: 03/11/2019] [Indexed: 12/12/2022] Open
Abstract
Lung adenocarcinomas (LUADs) with somatic mutations in the KRAS oncogene comprise the most common molecular subtype of lung cancer in smokers and present with overall dismal prognosis and resistance to most therapies. Our group recently demonstrated that tobacco carcinogen-exposed mice with knockout of the airway lineage G-protein coupled receptor, Gprc5a, develop LUADs with somatic mutations in Kras. Earlier work has suggested that cancer stem cells (CSCs) play crucial roles in clonal evolution of tumors and in therapy resistance. To date, our understanding of CSCs in LUADs with somatic Kras mutations remains lagging. Here we derived CSCs (as spheres in 3D cultures) with self-renewal properties from a murine Kras-mutant LUAD cell line we previously established from a tobacco carcinogen-exposed Gprc5a−/− mouse. Using syngeneic Gprc5a−/− models, we found that these CSCs, compared to their parental isoforms, exhibited increased tumorigenic potential in vivo, particularly in female animals. Using whole-transcriptome sequencing coupled with pathways analysis and confirmatory PCR, we identified gene features (n = 2,600) differentially expressed in the CSCs compared to parental cells and that were enriched with functional modules associated with an augmented malignant phenotype including stemness, tumor-promoting inflammation and anti-oxidant responses. Further, based on in silico predicted activation of GSK3β in CSCs, we found that tideglusib, an irreversible inhibitor of the kinase, exhibited marked anti-growth effects in the cultured CSCs. Our study underscores molecular cues in the pathogenesis of Kras-mutant LUAD and presents new models to study the evolution, and thus high-potential targets, of this aggressive malignancy.
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Affiliation(s)
- Reem Daouk
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Maya Hassane
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Hisham F Bahmad
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Ansam Sinjab
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Wassim Abou-Kheir
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Humam Kadara
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.,Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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10
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Wang S, Yuan X, Liu Y, Zhu K, Chen P, Yan H, Zhang D, Li X, Zeng H, Zhao X, Chen X, Zhou G, Cao S. Genetic polymorphisms of histone methyltransferase SETD2 predicts prognosis and chemotherapy response in Chinese acute myeloid leukemia patients. J Transl Med 2019; 17:101. [PMID: 30922329 PMCID: PMC6437967 DOI: 10.1186/s12967-019-1848-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 03/15/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND SETD2, the single mediator of trimethylation of histone 3 at position lysine 36, has been reported associated with initiation progression and chemotherapy resistance in acute myeloid leukemia (AML). Whether polymorphisms of SETD2 affect prognosis and chemotherapy response of AML remains elusive. METHODS Three tag single-nucleotide polymorphisms (tagSNPs) of SETD2 were genotyped in 579 AML patients by using Sequenom Massarray system. Association of the SNPs with complete remission (CR) rate after Ara-C based induction therapy, overall survival (OS) and relapse-free survival (RFS) were analyzed. RESULT Survival analysis indicated that SETD2 rs76208147 TT genotype was significantly associated with poor prognosis of AML (TT vs. CC + CT hazard ratio: HR = 1.838, 95% confidence interval (CI) 1.005-3.360, p = 0.048). After adjusting for the known prognostic factors including risk stratification, age, allo-SCT, WBC count and LDH count, rs76208147 TT genotype was still associated with OS in the multivariate analysis (TT vs. CC + CT HR = 1.923, 95% CI 1.007-3.675, p = 0.048). In addition, after adjusting by other clinical features, patients with rs4082155 allele G carries showed higher rate of complete remission which indicated by CR rate (AG + GG vs. AA odd ratio (OR) = 0.544, 95% CI 0.338-0.876, p = 0.012). CONCLUSIONS SETD2 genetic polymorphism is associated with AML prognosis and chemotherapy outcome, suggesting the possibility for development in AML diagnostics and therapeutics towards SETD2.
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Affiliation(s)
- Suwei Wang
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China
| | - Xiaoqing Yuan
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, People's Republic of China
| | - Yazhen Liu
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China
| | - Kewei Zhu
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China
| | - Peng Chen
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China
| | - Han Yan
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410078, People's Republic of China
| | - Daoyu Zhang
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China
| | - Xi Li
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Hui Zeng
- Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, 410078, People's Republic of China
| | - Xielan Zhao
- Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, 410078, People's Republic of China
| | - Xiaoping Chen
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Gan Zhou
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China. .,Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, 410078, People's Republic of China. .,National Institution of Drug Clinical Trial, Xiangya Hospital, Central South University, 110 Xiang Ya Road, Changsha, Hunan, 410078, People's Republic of China.
| | - Shan Cao
- Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 110 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China. .,Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410078, People's Republic of China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China.
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11
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Okuda K, Haneda H, Yokota K, Tatematsu T, Nakanishi R. The effect of smoking and TP53 mutations on molecular-targeted therapy in lung adenocarcinoma patients. J Thorac Dis 2019; 10:S4013-S4016. [PMID: 30631542 DOI: 10.21037/jtd.2018.09.43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Katsuhiro Okuda
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Hiroshi Haneda
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Keisuke Yokota
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tsutomu Tatematsu
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Ryoichi Nakanishi
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
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12
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Zhang B, Ma Z, Tan B, Lin N. Targeting the cell signaling pathway Keap1-Nrf2 as a therapeutic strategy for adenocarcinomas of the lung. Expert Opin Ther Targets 2018; 23:241-250. [PMID: 30556750 DOI: 10.1080/14728222.2019.1559824] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Kelch-like ECH associated protein 1/Nuclear factor erythroid 2-like factor 2 (Keap1-Nrf2) signaling plays a pivotal role in response to oxidative stress in lung cancer. Mutations in KEAP1/NFE2L2 genes always cause persistent Nrf2 activation in lung cancer cells that confer therapeutic resistance and aggressive tumorigenic activity, dictating either poor prognosis or short duration of response to chemotherapy in clinical observations. Areas covered: We provide a review of the mechanisms underlying the regulation of Keap1-Nrf2 at different stages, including genetic mutations, epigenetic modifications, translational/post-translational alterations, and protein-protein interactions. Based on the current knowledge, we discuss the possibilities of intervening Keap1-Nrf2 in lung adenocarcinoma as a therapeutic target. Expert opinion: It is prevalently conceived that Keap1-Nrf2 signaling plays different roles at diverse stages of cancer. Although various Nrf2 or Keap1 inhibitors have been reported during the last decades, none of these inhibitors are currently under clinical studies or in clinical applications, suggesting that sole inhibition of Nrf2 might not be sufficient to suppress tumor growth. On the basis of current studies, we suggest that the rational combination of Nrf2 suppression with chemical agents which cause enhanced oxidative imbalance or abnormal metabolism would be promising in the treatment of lung adenocarcinoma.
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Affiliation(s)
- Bo Zhang
- a Department of Clinical Pharmacy, Affiliated Hangzhou First People's Hospital , Zhejiang University School of Medicine , Hangzhou , China.,b Translational Medicine Research Center, Affiliated Hangzhou First People's Hospital , Zhejiang University School of Medicine , Hangzhou , China
| | - Zhiyuan Ma
- a Department of Clinical Pharmacy, Affiliated Hangzhou First People's Hospital , Zhejiang University School of Medicine , Hangzhou , China
| | - Biqin Tan
- a Department of Clinical Pharmacy, Affiliated Hangzhou First People's Hospital , Zhejiang University School of Medicine , Hangzhou , China
| | - Nengming Lin
- a Department of Clinical Pharmacy, Affiliated Hangzhou First People's Hospital , Zhejiang University School of Medicine , Hangzhou , China.,b Translational Medicine Research Center, Affiliated Hangzhou First People's Hospital , Zhejiang University School of Medicine , Hangzhou , China
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13
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Fujimoto J, Nunomura-Nakamura S, Liu Y, Lang W, McDowell T, Jakubek Y, Ezzeddine D, Ochieng JK, Petersen J, Davies G, Fukuoka J, Wistuba II, Ehli E, Fowler J, Scheet P, Kadara H. Development of Kras mutant lung adenocarcinoma in mice with knockout of the airway lineage-specific gene Gprc5a. Int J Cancer 2017; 141:1589-1599. [PMID: 28653505 PMCID: PMC5774849 DOI: 10.1002/ijc.30851] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/19/2017] [Accepted: 06/16/2017] [Indexed: 12/15/2022]
Abstract
Despite the urgency for prevention and treatment of lung adenocarcinoma (LUAD), we still do not know drivers in pathogenesis of the disease. Earlier work revealed that mice with knockout of the G-protein coupled receptor Gprc5a develop late onset lung tumors including LUADs. Here, we sought to further probe the impact of Gprc5a expression on LUAD pathogenesis. We first surveyed GPRC5A expression in human tissues and found that GPRC5A was markedly elevated in human normal lung relative to other normal tissues and was consistently downregulated in LUADs. In sharp contrast to wild-type littermates, Gprc5a-/- mice treated chronically with the nicotine-specific carcinogen NNK developed LUADs by 6 months following NNK exposure. Immunofluorescence analysis revealed that the LUADs exhibited abundant expression of surfactant protein C and lacked the clara cell marker Ccsp, suggesting that these LUADs originated from alveolar type II cells. Next, we sought to survey genome-wide alterations in the pathogenesis of Gprc5a-/- LUADs. Using whole exome sequencing, we found that carcinogen-induced LUADs exhibited markedly higher somatic mutation burdens relative to spontaneous tumors. All LUADs were found to harbor somatic mutations in the Kras oncogene (p. G12D or p. Q61R). In contrast to spontaneous lesions, carcinogen-induced Gprc5a-/- LUADs exhibited mutations (variants and copy number gains) in additional drivers (Atm, Kmt2d, Nf1, Trp53, Met, Ezh2). Our study underscores genomic alterations that represent early events in the development of Kras mutant LUAD following Gprc5a loss and tobacco carcinogen exposure and that may constitute targets for prevention and early treatment of this disease.
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Affiliation(s)
- Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sayuri Nunomura-Nakamura
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate School of Biomedical Science, Nagasaki University, Nagasaki, Japan
| | - Yihua Liu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wenhua Lang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tina McDowell
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yasminka Jakubek
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dalia Ezzeddine
- Department of Chemistry, American University of Beirut, Beirut, Lebanon
| | - Joshua Kapere Ochieng
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason Petersen
- Avera Institute for Human Genetics, Sioux Falls, SD, USA
| | - Gareth Davies
- Avera Institute for Human Genetics, Sioux Falls, SD, USA
| | - Junya Fukuoka
- Graduate School of Biomedical Science, Nagasaki University, Nagasaki, Japan
| | - Ignacio I. Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Erik Ehli
- Avera Institute for Human Genetics, Sioux Falls, SD, USA
| | - Jerry Fowler
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
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