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Abstract
Dietary intake and tissue levels of carotenoids have been associated with a reduced risk of several chronic diseases, including cardiovascular diseases, type 2 diabetes, obesity, brain-related diseases and some types of cancer. However, intervention trials with isolated carotenoid supplements have mostly failed to confirm the postulated health benefits. It has thereby been speculated that dosing, matrix and synergistic effects, as well as underlying health and the individual nutritional status plus genetic background do play a role. It appears that our knowledge on carotenoid-mediated health benefits may still be incomplete, as the underlying mechanisms of action are poorly understood in relation to human relevance. Antioxidant mechanisms - direct or via transcription factors such as NRF2 and NF-κB - and activation of nuclear hormone receptor pathways such as of RAR, RXR or also PPARs, via carotenoid metabolites, are the basic principles which we try to connect with carotenoid-transmitted health benefits as exemplified with described common diseases including obesity/diabetes and cancer. Depending on the targeted diseases, single or multiple mechanisms of actions may play a role. In this review and position paper, we try to highlight our present knowledge on carotenoid metabolism and mechanisms translatable into health benefits related to several chronic diseases.
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Yang S, Tang D, Zhao YC, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Shen S, Christiani DC, Wang Q, Wei Q. Novel genetic variants in KIF16B and NEDD4L in the endosome-related genes are associated with nonsmall cell lung cancer survival. Int J Cancer 2020; 147:392-403. [PMID: 31618441 PMCID: PMC8096203 DOI: 10.1002/ijc.32739] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 09/23/2019] [Accepted: 09/30/2019] [Indexed: 12/22/2022]
Abstract
The endosome is a membrane-bound organ inside most eukaryotic cells, playing an important role in adaptive immunity by delivering endocytosed antigens to both MHC class I and II pathways. Here, by analyzing genotyping data from two published genome-wide association studies (GWASs), we evaluated associations between genetic variants in the endosome-related gene-set and survival of patients with nonsmall cell lung cancer (NSCLC). The discovery included 44,112 (3,478 genotyped and 40,634 imputed) single-nucleotide polymorphisms (SNPs) in 220 genes in a singlelocus analysis for their associations with survival of 1,185 NSCLC patients from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. After validation of the 821 survival-associated significant SNPs in additional 984 NSCLC patients from the Harvard Lung Cancer Susceptibility Study, 14 SNPs remained significant. The final multivariate stepwise Cox proportional hazards regression modeling of the PLCO dataset identified three potentially functional and independent SNPs (i.e., KIF16B rs1555195 C>T, NEDD4L rs11660748 A>G and rs73440898 A>G) with an adjusted hazards ratio (HR) of 0.86 (95% confidence interval [CI] = 0.79-0.94, p = 0.0007), 1.31 (1.16-1.47, p = 6.0 × 10-5 ) and 1.27 (1.12-1.44, p = 0.0001) for overall survival (OS), respectively. Combined analysis of the adverse genotypes of these three SNPs revealed a trend in the genotype-survival association (ptrend < 0.0001 for OS and ptrend < 0.0001 for disease-specific survival). Furthermore, the survival-associated KIF16B rs1555195T allele was significantly associated with decreased mRNA expression levels of KIF16B in both lung tissues and blood cells. Therefore, genetic variants of the endosome-related genes may be biomarker for NSCLC survival, possibly through modulating the expression of corresponding genes.
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Affiliation(s)
- Sen Yang
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Dongfang Tang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Yu Chen Zhao
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Sheng Luo
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Thomas E. Stinchcombe
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Carolyn Glass
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Li Su
- Departments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115 USA
| | - Sipeng Shen
- Departments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115 USA
| | - David C. Christiani
- Departments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115 USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Qiming Wang
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
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Qian D, Liu H, Zhao L, Wang X, Luo S, Moorman PG, Patz EF, Su L, Shen S, Christiani DC, Wei Q. Novel genetic variants in genes of the Fc gamma receptor-mediated phagocytosis pathway predict non-small cell lung cancer survival. Transl Lung Cancer Res 2020; 9:575-586. [PMID: 32676321 PMCID: PMC7354140 DOI: 10.21037/tlcr-19-318] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background Both antibody-dependent cellular cytotoxicity and phagocytosis activate innate immunity, and the Fc gamma receptor (FCGR)-mediated phagocytosis is an integral part of the process. We assessed associations between single-nucleotide polymorphisms (SNPs) in FCGR-related genes and survival of patients with non-small cell lung cancer (NSCLC). Methods We evaluated associations between 24,734 (SNPs) in 97 FCGR-related genes and survival of 1,185 patients with NSCLC using a published genome-wide association study (GWAS) dataset from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial and validated the results in another independent dataset of 894 NSCLC patients. Results In the single-locus analysis with Bayesian false discovery probability (BFDP) for multiple testing correction, we found 1,084 SNPs to be significantly associated overall survival (OS) (P<0.050 and BFDP ≤0.80), of which two independent SNPs (PLCG2 rs9673682 T>G and PLPP1 rs115613985 T>A) were further validated in another GWAS dataset of 894 patients from the Harvard Lung Cancer Susceptibility (HLCS) Study, with combined allelic hazards ratios for OS of 0.87 [95% confidence interval (CI): 0.81-0.94 and P=5.90×10-4] and 1.18 (95% CI: 1.08-1.29 and 1.32×10-4, respectively). Expression quantitative trait loci analysis showed that the rs9673682 G allele was significantly correlated with increased mRNA expression levels of PLCG2 in 373 transformed lymphoblastoid cell-lines (P=7.20×10-5). Additional evidence from differential expression analysis further supported a tumor-suppressive effect of PLCG2 on OS of patients with lung cancer, with lower mRNA expression levels in both lung squamous carcinoma and adenocarcinoma than in adjacent normal tissues. Conclusions Genetic variants in PLCG2 of the FCGR-mediated phagocytosis pathway may be promising predictors of NSCLC survival, possibly through modulating gene expression, but additional investigation of the molecular mechanisms of PLPP1 rs115613985 is warranted.
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Affiliation(s)
- Danwen Qian
- Cancer Institute, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.,Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Lingling Zhao
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Xiaomeng Wang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Sheng Luo
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Patricia G Moorman
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC, USA
| | - Edward F Patz
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Radiology, Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA
| | - Li Su
- Department of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Sipeng Shen
- Department of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - David C Christiani
- Department of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.,Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.,Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Qian D, Liu H, Wang X, Ge J, Luo S, Patz EF, Moorman PG, Su L, Shen S, Christiani DC, Wei Q. Potentially functional genetic variants in the complement-related immunity gene-set are associated with non-small cell lung cancer survival. Int J Cancer 2019; 144:1867-1876. [PMID: 30259978 PMCID: PMC6377316 DOI: 10.1002/ijc.31896] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/30/2018] [Accepted: 09/10/2018] [Indexed: 12/30/2022]
Abstract
The complement system plays an important role in the innate and adaptive immunity, complement components mediate tumor cytolysis of antibody-based immunotherapy, and complement activation in the tumor microenvironment may promote tumor progression or inhibition, depending on the mechanism of action. In the present study, we conducted a two-phase analysis of two independently published genome-wide association studies (GWASs) for associations between genetic variants in a complement-related immunity gene-set and overall survival of non-small cell lung cancer (NSCLC). The GWAS dataset from Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial was used as the discovery, and multivariate Cox proportional hazards regression with false-positive report probability for multiple test corrections were performed to evaluate associations between 14,699 single-nucleotide polymorphisms (SNPs) in 111 genes and survival of 1,185 NSCLC patients. The identified significant SNPs in a single-locus analysis were further validated with 984 NSCLC patients in the GWAS dataset from the Harvard Lung Cancer Susceptibility (HLCS) Study. The results showed that two independent, potentially functional SNPs in two genes (VWF rs73049469 and ITGB2 rs3788142) were significantly associated with NSCLC survival, with a combined hazards ratio (HR) of 1.22 [95% confidence interval (CI) = 1.07-1.40, P = 0.002] and 1.16 (1.07-1.27, 6.45 × 10-4 ), respectively. Finally, we performed expression quantitative trait loci (eQTL) analysis and found that survival-associated genotypes of VWF rs73049469 were also significantly associated with mRNA expression levels of the gene. These results indicated that genetic variants of the complement-related immunity genes might be predictors of NSCLC survival, particularly for the short-term survival, possibly by modulating the expression of genes involved in the host immunity.
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Affiliation(s)
- Danwen Qian
- Cancer Institute, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Xiaomeng Wang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Jie Ge
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Sheng Luo
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Edward F. Patz
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Radiology, Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Patricia G. Moorman
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - Li Su
- Departments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115 USA
| | - Sipeng Shen
- Departments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115 USA
| | - David C. Christiani
- Departments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115 USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Qingyi Wei
- Cancer Institute, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
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Chen YQ, Yang TQ, Zhou B, Yang MX, Feng HJ, Wang YL. HOXA5 overexpression promotes osteosarcoma cell apoptosis through the p53 and p38α MAPK pathway. Gene 2019; 689:18-23. [DOI: 10.1016/j.gene.2018.11.081] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 11/18/2018] [Accepted: 11/26/2018] [Indexed: 12/15/2022]
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Cao Q, Rui G, Liang Y. Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model. BMC Public Health 2018; 18:925. [PMID: 30053859 PMCID: PMC6062941 DOI: 10.1186/s12889-018-5844-4] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Accepted: 07/12/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND PM2.5 has become a major component of air pollution in China and has led to a series of health problems. The mortality rate caused by lung cancer has reached the point where it cannot be ignored in China. Air pollution is becoming more and more serious in China, which is increasingly affecting people's lives and health. METHODS Considering the variations in the geographical environment in China, this paper studied the relationship between PM2.5 concentration and lung cancer mortality based on the geographical weighted regression model in 31 provinces in 2004 and 2008, autonomous regions and municipalities of China. RESULTS The results indicated there was a significant positive correlation between PM2.5 concentration and lung cancer mortality (r = 0.0052, P = 0.036). Additionally, the longer the time of exposure to PM2.5 is, the higher morbidity is. CONCLUSION It is suggested that the Chinese government should launch some environmental policy, especially in those areas with severe PM2.5 pollutions, and keep the citizens away from exposure to PM2.5 pollution in the long term.
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Affiliation(s)
- Qilong Cao
- Business School, Changzhou University, Changzhou, Jiangsu Province People’s Republic of China
| | - Guoqiang Rui
- Soochow University and Collaborative Innovation Center for New-type Urbanization and Social Governance of Jiangsu Province, Suzhou, Jiangsu People’s Republic of China
| | - Ying Liang
- Department of Social Work and Social Policy, School of Social and Behavioral Sciences, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing, 210023 People’s Republic of China
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PLOD2 regulated by transcription factor FOXA1 promotes metastasis in NSCLC. Cell Death Dis 2017; 8:e3143. [PMID: 29072684 PMCID: PMC5680920 DOI: 10.1038/cddis.2017.553] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 06/06/2017] [Accepted: 09/19/2017] [Indexed: 12/31/2022]
Abstract
In multiple types of tumors, fibrotic collagen is regarded as the 'highway' for cancer cell migration, which is mainly modified by lysyl hydroxylase 2 (PLOD2). The previous findings have demonstrated that the expression of PLOD2 was regulated by multiple factors, including HIF-1α, TGF-β and microRNA-26a/b. Although PLOD2 was confirmed to be related to poor prognosis in lung adenocarcinoma, the regulatory mechanism and function of PLOD2 in human lung adenocarcinoma is poorly understood. On the other hand, upregulation or hyperactivation of epidermal growth factor receptor is considered as a prognostic marker in many cancers, especially in non-small-cell lung cancer (NSCLC). In this study, we found that PLOD2 was elevated in NSCLC specimens and positively links to NSCLC poor prognosis. Gain- and loss-of-function studies and orthotopic implantation metastasis model pinpointed that PLOD2 promotes NSCLC metastasis directly by enhancing migration and indirectly by inducing collagen reorganization. In addition, we revealed that PLOD2 was regulated by PI3K/AKT-FOXA1 axis. The transcription factor FOXA1 directly bound to the PLOD2 promoter, and turned on PLOD2 transcription. In summary, our findings revealed a regulatory mechanism of NSCLC metastasis through EGFR-PI3K/AKT-FOXA1-PLOD2 pathway, and provided PLOD2 as a therapeutic target for NSCLC treatment.
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