1
|
Zhang W, Yin Y, Jiang Y, Yang Y, Wang W, Wang X, Ge Y, Liu B, Yao L. Relationship between vaginal and oral microbiome in patients of human papillomavirus (HPV) infection and cervical cancer. J Transl Med 2024; 22:396. [PMID: 38685022 PMCID: PMC11059664 DOI: 10.1186/s12967-024-05124-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/20/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND The aim of this study was to assess the microbial variations and biomarkers in the vaginal and oral environments of patients with human papillomavirus (HPV) and cervical cancer (CC) and to develop novel prediction models. MATERIALS AND METHODS This study included 164 samples collected from both the vaginal tract and oral subgingival plaque of 82 women. The participants were divided into four distinct groups based on their vaginal and oral samples: the control group (Z/KZ, n = 22), abortion group (AB/KAB, n = 17), HPV-infected group (HP/KHP, n = 21), and cervical cancer group (CC/KCC, n = 22). Microbiota analysis was conducted using full-length 16S rDNA gene sequencing with the PacBio platform. RESULTS The vaginal bacterial community in the Z and AB groups exhibited a relatively simple structure predominantly dominated by Lactobacillus. However, CC group shows high abundances of anaerobic bacteria and alpha diversity. Biomarkers such as Bacteroides, Mycoplasma, Bacillus, Dialister, Porphyromonas, Anaerococcus, and Prevotella were identified as indicators of CC. Correlations were established between elevated blood C-reactive protein (CRP) levels and local/systemic inflammation, pregnancy, childbirth, and abortion, which contribute to unevenness in the vaginal microenvironment. The altered microbial diversity in the CC group was confirmed by amino acid metabolism. Oral microbial diversity exhibited an inverse pattern to that of the vaginal microbiome, indicating a unique relationship. The microbial diversity of the KCC group was significantly lower than that of the KZ group, indicating a link between oral health and cancer development. Several microbes, including Fusobacterium, Campylobacter, Capnocytophaga, Veillonella, Streptococcus, Lachnoanaerobaculum, Propionibacterium, Prevotella, Lactobacillus, and Neisseria, were identified as CC biomarkers. Moreover, periodontal pathogens were associated with blood CRP levels and oral hygiene conditions. Elevated oral microbial amino acid metabolism in the CC group was closely linked to the presence of pathogens. Positive correlations indicated a synergistic relationship between vaginal and oral bacteria. CONCLUSION HPV infection and CC impact both the vaginal and oral microenvironments, affecting systemic metabolism and the synergy between bacteria. This suggests that the use of oral flora markers is a potential screening tool for the diagnosis of CC.
Collapse
Affiliation(s)
- Wei Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- School/Hospital of Stomatology, Lanzhou University, Lanzhou, China
- Healthy Examination & Management Center of Lanzhou University Second Hospital, Lanzhou, China
| | - Yanfei Yin
- Healthy Examination & Management Center of Lanzhou University Second Hospital, Lanzhou, China
| | - Yisha Jiang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Yangyang Yang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Wentao Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Xiaoya Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Yan Ge
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of Gynecology, Lanzhou University First Hospital, Lanzhou, China
| | - Bin Liu
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
- School/Hospital of Stomatology, Lanzhou University, Lanzhou, China.
| | - Lihe Yao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
- Department of Neurology, Lanzhou University First Hospital, Lanzhou, China.
| |
Collapse
|
2
|
Ren Y, Ma Q, Zeng X, Huang C, Tan S, Fu X, Zheng C, You F, Li X. Saliva‑microbiome‑derived signatures: expected to become a potential biomarker for pulmonary nodules (MCEPN-1). BMC Microbiol 2024; 24:132. [PMID: 38643115 PMCID: PMC11031921 DOI: 10.1186/s12866-024-03280-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 03/27/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Oral microbiota imbalance is associated with the progression of various lung diseases, including lung cancer. Pulmonary nodules (PNs) are often considered a critical stage for the early detection of lung cancer; however, the relationship between oral microbiota and PNs remains unknown. METHODS We conducted a 'Microbiome with pulmonary nodule series study 1' (MCEPN-1) where we compared PN patients and healthy controls (HCs), aiming to identify differences in oral microbiota characteristics and discover potential microbiota biomarkers for non-invasive, radiation-free PNs diagnosis and warning in the future. We performed 16 S rRNA amplicon sequencing on saliva samples from 173 PN patients and 40 HCs to compare the characteristics and functional changes in oral microbiota between the two groups. The random forest algorithm was used to identify PN salivary microbial markers. Biological functions and potential mechanisms of differential genes in saliva samples were preliminarily explored using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Cluster of Orthologous Groups (COG) analyses. RESULTS The diversity of salivary microorganisms was higher in the PN group than in the HC group. Significant differences were noted in community composition and abundance of oral microorganisms between the two groups. Neisseria, Prevotella, Haemophilus and Actinomyces, Porphyromonas, Fusobacterium, 7M7x, Granulicatella and Selenomonas were the main differential genera between the PN and HC groups. Fusobacterium, Porphyromonas, Parvimonas, Peptostreptococcus and Haemophilus constituted the optimal marker sets (area under curve, AUC = 0.80), which can distinguish between patients with PNs and HCs. Further, the salivary microbiota composition was significantly correlated with age, sex, and smoking history (P < 0.001), but not with personal history of cancer (P > 0.05). Bioinformatics analysis of differential genes showed that patients with PN showed significant enrichment in protein/molecular functions related to immune deficiency and energy metabolisms, such as the cytoskeleton protein RodZ, nicotinamide adenine dinucleotide phosphate dehydrogenase (NADPH) dehydrogenase, major facilitator superfamily transporters and AraC family transcription regulators. CONCLUSIONS Our study provides the first evidence that the salivary microbiota can serve as potential biomarkers for identifying PN. We observed a significant association between changes in the oral microbiota and PNs, indicating the potential of salivary microbiota as a new non-invasive biomarker for PNs. TRIAL REGISTRATION Clinical trial registration number: ChiCTR2200062140; Date of registration: 07/25/2022.
Collapse
Affiliation(s)
- Yifeng Ren
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Qiong Ma
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Xiao Zeng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Chunxia Huang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Shiyan Tan
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Xi Fu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Chuan Zheng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China
| | - Fengming You
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
| | - Xueke Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, China.
| |
Collapse
|
3
|
Bano Y, Shrivastava A, Shukla P, Chaudhary AA, Khan SUD, Khan S. The implication of microbiome in lungs cancer: mechanisms and strategies of cancer growth, diagnosis and therapy. Crit Rev Microbiol 2024:1-25. [PMID: 38556797 DOI: 10.1080/1040841x.2024.2324864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 02/20/2024] [Indexed: 04/02/2024]
Abstract
Available evidence illustrates that microbiome is a promising target for the study of growth, diagnosis and therapy of various types of cancer. Lung cancer is a leading cause of cancer death worldwide. The relationship of microbiota and their products with diverse pathologic conditions has been getting large attention. The novel research suggests that the microbiome plays an important role in the growth and progression of lung cancer. The lung microbiome plays a crucial role in maintaining mucosal immunity and synchronizing the stability between tolerance and inflammation. Alteration in microbiome is identified as a critical player in the progression of lung cancer and negatively impacts the patient. Studies suggest that healthy microbiome is essential for effective therapy. Various clinical trials and research are focusing on enhancing the treatment efficacy by altering the microbiome. The regulation of microbiota will provide innovative and promising treatment strategies for the maintenance of host homeostasis and the prevention of lung cancer in lung cancer patients. In the current review article, we presented the latest progress about the involvement of microbiome in the growth and diagnosis of lung cancer. Furthermore, we also assessed the therapeutic status of the microbiome for the management and treatment of lung cancer.
Collapse
Affiliation(s)
- Yasmin Bano
- Department of Biotechnology, College of Life Sciences, Cancer Hospital and research Institute, Gwalior, India
- Centre for Genomics, Molecular and Human Genetics, Jiwaji University, Gwalior, India
| | - Abhinav Shrivastava
- Department of Biotechnology, College of Life Sciences, Cancer Hospital and research Institute, Gwalior, India
| | - Piyush Shukla
- Centre for Genomics, Molecular and Human Genetics, Jiwaji University, Gwalior, India
- Laboratory of Natural Products, Department of Rural Technology and Social Development, Guru Ghasidas University, Bilaspur, India
| | - Anis Ahmad Chaudhary
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Salah-Ud-Din Khan
- Department of Biochemistry, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Shahanavaj Khan
- Department of Medical Lab Technology, Indian Institute of Health Technology (IIHT), Deoband, Saharanpur, UP, India
- Department of Health Sciences, Novel Global Community Educational Foundation, Hebersham, Australia
| |
Collapse
|
4
|
Yano Y, Abnet CC, Roshandel G, Graf A, Poustchi H, Khoshnia M, Pourshams A, Kamangar F, Boffetta P, Brennan P, Dawsey SM, Vogtmann E, Malekzadeh R, Etemadi A. Dental health and lung cancer risk in the Golestan Cohort Study. BMC Cancer 2024; 24:74. [PMID: 38218793 PMCID: PMC10787979 DOI: 10.1186/s12885-024-11850-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/06/2024] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND Poor oral health has been linked to various systemic diseases, including multiple cancer types, but studies of its association with lung cancer have been inconclusive. METHODS We examined the relationship between dental status and lung cancer incidence and mortality in the Golestan Cohort Study, a large, prospective cohort of 50,045 adults in northeastern Iran. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between three dental health measures (i.e., number of missing teeth; the sum of decayed, missing, or filled teeth (DMFT); and toothbrushing frequency) and lung cancer incidence or mortality with adjustment for multiple potential confounders, including cigarette smoking and opium use. We created tertiles of the number of lost teeth/DMFT score in excess of the loess adjusted, age- and sex-specific predicted numbers, with subjects with the expected number of lost teeth/DMFT or fewer as the reference group. RESULTS During a median follow-up of 14 years, there were 119 incident lung cancer cases and 98 lung cancer deaths. Higher DMFT scores were associated with a progressively increased risk of lung cancer (linear trend, p = 0.011). Compared with individuals with the expected DMFT score or less, the HRs were 1.27 (95% CI: 0.73, 2.22), 2.15 (95% CI: 1.34, 3.43), and 1.52 (95% CI: 0.81, 2.84) for the first to the third tertiles of DMFT, respectively. The highest tertile of tooth loss also had an increased risk of lung cancer, with a HR of 1.68 (95% CI: 1.04, 2.70) compared with subjects with the expected number of lost teeth or fewer (linear trend, p = 0.043). The results were similar for lung cancer mortality and did not change substantially when the analysis was restricted to never users of cigarettes or opium. We found no associations between toothbrushing frequency and lung cancer incidence or mortality. CONCLUSION Poor dental health indicated by tooth loss or DMFT, but not lack of toothbrushing, was associated with increased lung cancer incidence and mortality in this rural Middle Eastern population.
Collapse
Affiliation(s)
- Yukiko Yano
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Akua Graf
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hossein Poustchi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Masoud Khoshnia
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Akram Pourshams
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farin Kamangar
- Department of Biology, School of Computer, Mathematical, and Natural Sciences, Morgan State University, Baltimore, MD, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Sanford M Dawsey
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Emily Vogtmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Reza Malekzadeh
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Arash Etemadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
5
|
任 益, 马 琼, 李 芳, 曾 潇, 谭 施, 付 西, 郑 川, 由 凤, 李 雪. [Analysis of Salivary Microbiota Characteristics in Patients With Pulmonary Nodules: A Prospective Nonrandomized Concurrent Controlled Trial]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2023; 54:1208-1218. [PMID: 38162086 PMCID: PMC10752765 DOI: 10.12182/20231160103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Indexed: 01/03/2024]
Abstract
Objective To uncover and identify the differences in salivary microbiota profiles and their potential roles between patients with pulmonary nodules (PN) and healthy controls, and to propose new candidate biomarkers for the early warning of PN. Methods 16S rRNA amplicon sequencing was performed with the saliva samples of 173 PN patients, or the PN group, and 40 health controls, or the HC group, to compare the characteristics, including diversity, community composition, differential species, and functional changes of salivary microbiota in the two groups. Random forest algorithm was used to identify salivary microbial markers of PN and their predictive value for PN was assessed by area under the curve (AUC). Finally, the biological functions and potential mechanisms of differentially-expressed genes in saliva samples were preliminarily investigated on the basis of predictive functional profiling of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2). Results The α diversity and β diversity of salivary microbiota in the PN group were higher than those in the HC group (P<0.05). Furthermore, there were significant differences in the community composition and the abundance of oral microorganisms between the PN and the HC groups (P<0.05). Random forest algorithm was applied to identify differential microbial species. Porphyromonas, Haemophilus, and Fusobacterium constituted the optimal marker sets (AUC=0.79, 95% confidence interval: 0.71-0.86), which can be used to effectively identify patients with PN. Bioinformatics analysis of the differentially-expressed genes revealed that patients with PN showed significant enrichment in protein/molecular functions involved in immune deficiency and redox homeostasis. Conclusion Changes in salivary microbiota are closely associated with PN and may induce the development of PN or malignant transformation of PN, which indicates the potential of salivary microbiota to be used as a new non-invasive humoral marker for the early diagnosis of PN.
Collapse
Affiliation(s)
- 益锋 任
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
- 成都中医药大学肿瘤研究所 (成都 610075)Cancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 琼 马
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 芳 李
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 潇 曾
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 施言 谭
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 西 付
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 川 郑
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 凤鸣 由
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
- 成都中医药大学肿瘤研究所 (成都 610075)Cancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - 雪珂 李
- 成都中医药大学附属医院 代谢性疾病中医药调控四川省重点实验室 (成都 610075)Sichuan Provincial Key Laboratory of TCM Regulation of Metabolic Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
- 成都中医药大学肿瘤研究所 (成都 610075)Cancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| |
Collapse
|
6
|
Desai S. Influence of pathogens on host genome and epigenome in development of head and neck cancer. Cancer Rep (Hoboken) 2023; 6:e1846. [PMID: 37322598 PMCID: PMC10644332 DOI: 10.1002/cnr2.1846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/11/2023] [Accepted: 06/05/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Head and neck cancer (HNSCC) is a heterogeneous group of cancers, affecting multiple regions such as oral cavity, pharynx, larynx, and nasal region, each showing a distinct molecular profile. HNSCC accounts for more than 6 million cases worldwide, soaring mainly in the developing countries. RECENT FINDINGS The aetiology of HNSCC is complex and multifactorial, involving both genetic and environmental factors. The critical role of microbiome, which includes bacteria, viruses, and fungi, is under spotlight due to the recent reports on their contribution in the development and progression of HNSCC. This review focuses on the effect of opportunistic pathogens on the host genome and epigenome, which contributes to the disease progression. Drawing parallels from the host-pathogen interactions observed in other tumour types arising from the epithelial tissue such as colorectal cancer, the review also calls attention to the potential explorations of the role of pathogens in HNSCC biology and discusses the clinical implications of microbiome research in detection and treatment of HNSCC. CONCLUSION Our understanding of the genomic effects of the microbes on the disease progression and the mechanistic insights of the host-pathogen interaction will pave way to novel treatment and preventive approaches in HNSCC.
Collapse
|
7
|
Lan Z, Liu WJ, Cui H, Zou KL, Chen H, Zhao YY, Yu GT. The role of oral microbiota in cancer. Front Microbiol 2023; 14:1253025. [PMID: 37954233 PMCID: PMC10634615 DOI: 10.3389/fmicb.2023.1253025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/11/2023] [Indexed: 11/14/2023] Open
Abstract
Cancer remains a significant global challenge, with an estimated 47% increase in cancer patients from 2020 to 2040. Increasing research has identified microorganism as a risk factor for cancer development. The oral cavity, second only to the colon, harbors more than 700 bacterial species and serves as a crucial microbial habitat. Although numerous epidemiological studies have reported associations between oral microorganisms and major systemic tumors, the relationship between oral microorganisms and cancers remains largely unclear. Current research primarily focuses on respiratory and digestive system tumors due to their anatomical proximity to the oral cavity. The relevant mechanism research mainly involves 47% dominant oral microbial population that can be cultured in vitro. However, further exploration is necessary to elucidate the mechanisms underlying the association between oral microbiota and tumors. This review systematically summarizes the reported correlations between oral microbiota and common cancers while also outlining potential mechanisms that may guide biological tumor treatment.
Collapse
Affiliation(s)
- Zhou Lan
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| | - Wei-Jia Liu
- Department of Oral Mucosal Diseases, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hao Cui
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| | - Ke-Long Zou
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| | - Hao Chen
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| | - Yu-Yue Zhao
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| | - Guang-Tao Yu
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| |
Collapse
|
8
|
Ma Q, Li X, Jiang H, Fu X, You L, You F, Ren Y. Mechanisms underlying the effects, and clinical applications, of oral microbiota in lung cancer: current challenges and prospects. Crit Rev Microbiol 2023:1-22. [PMID: 37694585 DOI: 10.1080/1040841x.2023.2247493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 07/10/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023]
Abstract
The oral cavity contains a site-specific microbiota that interacts with host cells to regulate many physiological processes in the human body. Emerging evidence has suggested that changes in the oral microbiota can increase the risk of lung cancer (LC), and the oral microbiota is also altered in patients with LC. Human and animal studies have shown that oral microecological disorders and/or specific oral bacteria may play an active role in the occurrence and development of LC through direct and/or indirect mechanisms. These studies support the potential of oral microbiota in the clinical treatment of LC. Oral microbiota may therefore be used in the prevention and treatment of LC and to improve the side effects of anticancer therapy by regulating the balance of the oral microbiome. Specific oral microbiota in LC may also be used as screening or predictive biomarkers. This review summarizes the main findings in research on oral microbiome-related LC and discusses current challenges and future research directions.
Collapse
Affiliation(s)
- Qiong Ma
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
| | - Xueke Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
| | - Hua Jiang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
| | - Xi Fu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
| | - Liting You
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, P.R. China
| | - Fengming You
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
| | - Yifeng Ren
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, P.R. China
| |
Collapse
|
9
|
Zhang K, He C, Qiu Y, Li X, Hu J, Fu B. ASSOCIATION OF ORAL MICROBIOTA AND PERIODONTAL DISEASE WITH LUNG CANCER: A SYSTEMATIC REVIEW AND META-ANALYSIS. J Evid Based Dent Pract 2023; 23:101897. [PMID: 37689446 DOI: 10.1016/j.jebdp.2023.101897] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 04/22/2023] [Accepted: 05/17/2023] [Indexed: 09/11/2023]
Abstract
OBJECTIVES Evidence of oral microbiota perturbations has been accumulated for lung cancers. This review focused on the oral microbiota alterations in population suffering from lung cancer. In addition, we also discussed conflicting data about the association between oral microbiota dysbiosis and risk of lung cancer. METHODS A systematic search was conducted in Medline, Embase, PubMed, and Cochrane Library databases. The studies evaluated diversity and abundance of oral microbes in healthy and lung cancer individuals as well as association of periodontal disease and pathogens with lung cancer. Of 3559 studies, 28 included studies were performed in qualitative analysis, and 25 studies were used in meta-analyses for quantitative assessment. Heterogeneity was analyzed by using I² and chi-squared Q test statistics. Statistical analyses were performed by using the RevMan 5.4 software. RESULTS Compared with the control, lung cancer patients had lower alpha diversity (Shannon: SMD = -0.54; 95% CI, -0.90 to -0.19; P < .01, I2 = 71%). In nested case-control studies, individuals with decreased alpha diversity tended to have an increased risk of lung cancer (observed species: HR = 0.90; 95% CI, 0.85-0.96; P < .01, I2 = 0%; Shannon: HR = 0.89; 95% CI, 0.83-0.95; P < .01, I2 = 0%). Overall, no strong evidence of association of relative abundance with specific oral microbes with lung cancers was found because of inconsistent data. No associations were found between periodontal pathogens and lung cancer risk (red complex: HR = 1.12, 95% CI: 0.42-3.02, P = .82, I2 = 62%; orange complex: HR =1.77, 95% CI: 0.78-3.98, P = .17, I2 = 36%), expect for Fusobacterium nucleatum (HR = 2.27, 95% CI: 1.13-4.58, P = .02, I2 = 0%). The positive association of periodontal disease with lung cancer risk was found (HR = 1.58, 95% CI: 1.25-2.00, P < .001, I2= 0%) with increase of periodontal diseases severity (HR = 2.39, 95% CI: 1.57-3.66, P < .001, I2 = 0%). However, such association was not found in never-smoker participants (HR = 1.00, 95% CI: 0.76-1.31, P = .37, I2= 7%). CONCLUSIONS Lower alpha diversity of oral microbiome may be associated with a greater risk of lung cancer and might serve as a predictive signal of lung cancer risk. There was no strong evidence of relative abundance of oral microbial taxa and periodontal pathogens in lung cancer patients. Fusobacterium nucleatum might be a potential microbial candidate of biomarkers in lung cancer. Periodontal disease may be positively associated with lung cancer risk by confounding of smoking, but not an independent risk factor.
Collapse
Affiliation(s)
- Kai Zhang
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Cheng He
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yuan Qiu
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiuyang Li
- Department of Epidemiology & Biostatistics, and Center for Clinical Big Data and Statistics, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Baiping Fu
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, Zhejiang, China.
| |
Collapse
|
10
|
Yano Y, Vogtmann E, Shreves AH, Weinstein SJ, Black A, Diaz-Mayoral N, Wan Y, Zhou W, Hua X, Dagnall CL, Hutchinson A, Jones K, Hicks BD, Wyatt K, Brotzman M, Gerlanc N, Huang WY, Albert PS, Wentzensen N, Abnet CC. Evaluation of alcohol-free mouthwash for studies of the oral microbiome. PLoS One 2023; 18:e0284956. [PMID: 37104300 PMCID: PMC10138257 DOI: 10.1371/journal.pone.0284956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 04/12/2023] [Indexed: 04/28/2023] Open
Abstract
Oral bacteria play important roles in human health and disease. Oral samples collected using ethanol-containing mouthwash are widely used for oral microbiome studies. However, ethanol is flammable and not ideal for transportation/storage in large quantities, and some individuals may avoid ethanol due to the burning sensation or due to various personal, medical, religious, and/or cultural factors. Here, we compared ethanol-free and ethanol-containing mouthwashes using multiple microbiome metrics and assessed the stability of the mouthwash samples stored up to 10 days before processing. Forty volunteers provided oral wash samples collected using ethanol-free and ethanol-containing mouthwashes. From each sample, one aliquot was immediately frozen, one was stored at 4°C for 5 days and frozen, while the third aliquot was stored for 5 days at 4°C and 5 days at ambient temperature to mimic shipping delays and then frozen. DNA was extracted, the 16S rRNA gene V4 region was amplified and sequenced, and bioinformatic processing was performed using QIIME 2. Microbiome metrics measured in the two mouthwash types were very similar, with intraclass correlation coefficients (ICCs) for alpha and beta diversity metrics greater than 0.85. Relative abundances of some taxa were significantly different, but ICCs of the top four most abundant phyla and genera were high (> 0.75) for the comparability of the mouthwashes. Stability during delayed processing was also high for both mouthwashes based on alpha and beta diversity measures and relative abundances of the top four phyla and genera (ICCs ≥ 0.90). These results demonstrate ethanol-free mouthwash performs similarly to ethanol-containing mouthwash for microbial analyses, and both mouthwashes are stable for at least 10 days without freezing prior to laboratory processing. Ethanol-free mouthwash is suitable for collecting and shipping oral wash samples, and these results have important implications for planning future epidemiologic studies of the oral microbiome.
Collapse
Affiliation(s)
- Yukiko Yano
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Emily Vogtmann
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Alaina H. Shreves
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Amanda Black
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Norma Diaz-Mayoral
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Yunhu Wan
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Weiyin Zhou
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Xing Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle Washington, United States of America
| | - Casey L. Dagnall
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Amy Hutchinson
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Kristine Jones
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Belynda D. Hicks
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Kathleen Wyatt
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Michelle Brotzman
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Nicole Gerlanc
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Wen-Yi Huang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Paul S. Albert
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Christian C. Abnet
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| |
Collapse
|
11
|
Zhou B, Lu J, Beck JD, Moss KL, Prizment AE, Demmer RT, Rodriguez KAP, Joshu CE, Michaud DS, Platz EA. Periodontal and Other Oral Bacteria and Risk of Lung Cancer in the Atherosclerosis Risk in Communities (ARIC) Study. Cancer Epidemiol Biomarkers Prev 2023; 32:505-515. [PMID: 35999656 PMCID: PMC9947191 DOI: 10.1158/1055-9965.epi-22-0601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/21/2022] [Accepted: 08/12/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Evidence suggests that periodontal disease is associated with increased lung cancer risk, but whether periodontal pathogens are explanatory is unknown. We prospectively studied associations of prediagnostic circulating antibodies with oral bacteria and of periodontal bacteria in subgingival plaque with lung cancer. METHODS We included 4,263 cancer-free participants in the Atherosclerosis Risk in Communities study with previously measured serum IgG antibodies to 18 oral bacteria. In 1,287 participants for whom subgingival plaque was collected, counts for 8 periodontal bacteria were previously measured. Incident lung cancers (N = 118) were ascertained through 2015 (median follow-up = 17.5 years). We used Cox regression to estimate multivariable-adjusted associations, including for sums of antibodies to orange (C. rectus, F. nucleatum, P. intermedia, P. micra, and P. nigrescens) and red (P. gingivalis, T. forsythensis, and T. denticola) complex bacteria. RESULTS Orange complex bacteria antibodies were positively associated with lung cancer [per IQR hazard ratios (HR) = 1.15; 95% confidence intervals (CI), 1.02-1.29], which was stronger in men (HR = 1.27, 95% CI 1.08-1.49), and explained by P. intermedia and P. nigrescens (HR = 1.15; 95% CI, 1.04-1.26). Suggestive positive associations with lung cancer (N = 40) were observed for F. nucleatum, A. actinomycetemcomitans, and P. gingivalis counts. Significant positive associations were found for the count to antibody ratio for P. intermedia and P. gingivalis. CONCLUSIONS We identified positive associations with lung cancer for oral bacteria, especially orange complex that are moderately pathogenic for periodontal disease. IMPACT This prospective study supports the need for more research on periodontal bacteria in lung cancer etiology. If associations are supported, this may inform novel lung cancer prevention strategies.
Collapse
Affiliation(s)
- Baijun Zhou
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Jiayun Lu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - James D. Beck
- Division of Comprehensive Oral Health/ Periodontology, Adams School of Dentistry, University of North Carolina, Chapel Hill, NC
| | - Kevin L. Moss
- Division of Comprehensive Oral Health/ Periodontology, Adams School of Dentistry, University of North Carolina, Chapel Hill, NC
| | - Anna E. Prizment
- Division of Hematology, Oncology and Transplantation, University of Minnesota Medical School, and the University of Minnesota Masonic Cancer Center, Minneapolis, MN
| | - Ryan T. Demmer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Kori A. Porosnicu Rodriguez
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - Corinne E. Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| | - Dominique S. Michaud
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA
| | - Elizabeth A. Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| |
Collapse
|
12
|
Liu QY, Liao Y, Wu YX, Diao H, Du Y, Chen YW, Xie JR, Xue WQ, He YQ, Wang TM, Zheng XH, Jia WH. The Oral Microbiome as Mediator between Oral Hygiene and Its Impact on Nasopharyngeal Carcinoma. Microorganisms 2023; 11:microorganisms11030719. [PMID: 36985292 PMCID: PMC10058307 DOI: 10.3390/microorganisms11030719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/18/2023] Open
Abstract
Oral hygiene and the alteration of the oral microbiome have been linked to nasopharyngeal carcinoma (NPC). This study aimed to investigate whether the oral microbiome plays a mediating role in the relationship between oral hygiene and NPC, and identify differential microbial taxonomies that potentially mediated this association. We conducted a case–control study that involved 218 NPC patients and 192 healthy controls. The 16S rRNA gene sequencing of the V4 region was performed to evaluate the composition of the oral microbiome. Mediation analysis was applied to explore the relationship among oral hygiene, the oral microbiome and NPC. We found that dental fillings and poor oral hygiene score were associated with increased risks of NPC (OR = 2.51 (1.52–4.25) and OR = 1.54 (1.02–2.33)). Mediation analysis indicated that dental fillings increased the risk of NPC by altering the abundance of Erysipelotrichales, Erysipelotrichaceae, Solobacterium and Leptotrichia wadei. In addition, Leptotrichia wadei also mediated the association between oral hygiene score and the risk of NPC. Our study confirmed that poor oral hygiene increased the risk of NPC, which was partly mediated by the oral microbiome. These findings might help us to understand the potential mechanism of oral hygiene influencing the risk of NPC via the microbiome.
Collapse
Affiliation(s)
- Qiao-Yun Liu
- School of Public Health, Sun Yat-sen University, Guangzhou 510060, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Ying Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yan-Xia Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Hua Diao
- School of Public Health, Sun Yat-sen University, Guangzhou 510060, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yan Du
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yi-Wei Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Jin-Ru Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yong-Qiao He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Tong-Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xiao-Hui Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Wei-Hua Jia
- School of Public Health, Sun Yat-sen University, Guangzhou 510060, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
- Correspondence: ; Tel.: +86-020-87342327
| |
Collapse
|
13
|
Liao Y, Zhang JB, Lu LX, Jia YJ, Zheng MQ, Debelius JW, He YQ, Wang TM, Deng CM, Tong XT, Xue WQ, Cao LJ, Wu ZY, Yang DW, Zheng XH, Li XZ, Wu YX, Feng L, Ye W, Mu J, Jia WH. Oral Microbiota Alteration and Roles in Epstein-Barr Virus Reactivation in Nasopharyngeal Carcinoma. Microbiol Spectr 2023; 11:e0344822. [PMID: 36645283 PMCID: PMC9927204 DOI: 10.1128/spectrum.03448-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/16/2022] [Indexed: 01/17/2023] Open
Abstract
Microbiota has recently emerged as a critical factor associated with multiple malignancies. Nasopharyngeal carcinoma (NPC) is highly associated with Epstein-Barr virus (EBV); the oncovirus resides and is transmitted in the oral cavity. However, the alternation of oral microbiota in NPC patients and its potential link to EBV reactivation and host cell response under the simultaneous existence of EBV and specific bacteria is largely unknown. Here, oral microbiota profiles of 303 NPC patients and controls with detailed clinical information, including serum EBV anti-virus capsid antigen (VCA) IgA level, were conducted. A distinct microbial community with lower diversity and imbalanced composition in NPC patients was observed. Notably, among enriched bacteria in patients, Streptococcus sanguinis was associated with anti-VCA IgA, an indicator of NPC risk and EBV reactivation. By measuring the concentration of its metabolite, hydrogen peroxide (H2O2), in the saliva of clinical patients, we found the detection rate of H2O2 was 2-fold increased compared to healthy controls. Further coculture assay of EBV-positive Akata cells with bacteria in vitro showed that S. sanguinis induced EBV lytic activation by its metabolite, H2O2. Host and EBV whole genome-wide transcriptome sequencing and EBV methylation assays showed that H2O2 triggered the host cell signaling pathways, notably tumor necrosis factor alpha (TNF-α) via NF-κB, and induced the demethylation of the global EBV genome and the expression of EBV lytic-associated genes, which could result in an increase of virus particle release and potential favorable events toward tumorigenesis. In brief, our study identified a characterized oral microbial profile in NPC patients and established a robust link between specific oral microbial alteration and switch of latency to lytic EBV infection status in the oral cavity, which provides novel insights into EBV's productive cycle and might help to further clarify the etiology of NPC. IMPORTANCE EBV is classified as the group I human carcinogen and is associated with multiple cancers, including NPC. The interplays between the microbiota and oncovirus in cancer development remain largely unknown. In this study, we investigate the interactions between resident microbes and EBV coexistence in the oral cavity of NPC patients. We identify a distinct oral microbial feature for NPC patients. Among NPC-enriched bacteria, we illustrated that a specific species, S. sanguinis, associated with elevated anti-IgA VCA in patients, induced EBV lytic activation by its by-product, H2O2, and activated the TNF-α/NF-κB pathway of EBV-positive B cells in vitro, together with increased detection rate of H2O2 in patients' oral cavities, which strengthened the evidence of bacteria-virus-host interaction in physiological circumstances. The effects of imbalanced microbiota on the EBV latent-to-lytic switch in the oral cavity might create the likelihood of EBV infection in epithelial cells at the nasopharynx and help malignant transition and cancer development.
Collapse
Affiliation(s)
- Ying Liao
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Jiang-Bo Zhang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Li-Xia Lu
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yi-Jing Jia
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Mei-Qi Zheng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Justine W. Debelius
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yong-Qiao He
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Tong-Min Wang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Chang-Mi Deng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Xia-Ting Tong
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Wen-Qiong Xue
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Lian-Jing Cao
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Zi-Yi Wu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Da-Wei Yang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Xiao-Hui Zheng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Xi-Zhao Li
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Yan-Xia Wu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Lin Feng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jianbing Mu
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Wei-Hua Jia
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| |
Collapse
|
14
|
Understanding the Functional Role of the Microbiome and Metabolome in Asthma. Curr Allergy Asthma Rep 2023; 23:67-76. [PMID: 36525159 DOI: 10.1007/s11882-022-01056-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE OF REVIEW Asthma is a heterogenous respiratory disease characterized by airway inflammation and obstruction. However, the causes of asthma are unknown. Several studies have reported microbial and metabolomic dysbiosis in asthmatic patients; but, little is known about the functional role of the microbiota or the host-microbe metabolome in asthma pathophysiology. Current multi-omic studies are linking both the metabolome and microbiome in different organ systems to help identify the interactions involved in asthma, with the goal of better identifying endotypes/phenotypes, causal links, and potential targets of treatment. This review thus endeavors to explore the benefits of and current advances in studying microbiome-metabolome interactions in asthma. RECENT FINDINGS This is a narrative review of the current state of research surrounding the interaction between the microbiome and metabolome and their role in asthma. Associations with asthma onset, severity, and phenotype have been identified in both the microbiome and the metabolome, most frequently in the gut. More recently, studies have begun to investigate the role of the respiratory microbiome in airway disease and its association with the systemic metabolome, which has provided further insights into its role in asthma phenotypes. This review also identifies gaps in the field in understanding the direct link between respiratory microbiome and metabolome, hypothesizes the benefits for conducting such studies in the future for asthma treatment and prevention, and identifies current analytical limitations that need to be addressed to advance the field. This is a comprehensive review of the current state of research on the interaction between the microbiome and metabolome and their role in asthma.
Collapse
|
15
|
Huang J, Huang J. Microbial Biomarkers for Lung Cancer: Current Understandings and Limitations. J Clin Med 2022; 11:jcm11247298. [PMID: 36555915 PMCID: PMC9782454 DOI: 10.3390/jcm11247298] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
As our "hidden organ", microbes widely co-exist at various sites on the human body. These microbes are collectively referred to as the microbiome. A considerable number of studies have already proven that the microbiome has significant impacts on human health and disease progression, including cancers. The recent discovery of cancer-specific microbiomes renders these cancer-associated microbes as potential biomarkers and therapeutic targets. While at low biomass levels, the lung microbiome still dramatically influences the initiation, progression and treatment of lung cancers. However, research on lung cancer-associated microbiomes is emerging, and most profiling studies are performed within three years. Unfortunately, there are substantial inconsistencies across these studies. Variations in microbial diversity were observed, and different microbial biomarkers for lung cancer have been proposed. In this review, we summarized the current findings of lung cancer microbiome studies and attempt to explain the potential reasons for the dissimilarities. Other than lung microbiomes, oral and airway microbiomes are highly related to lung microbiomes and are therefore included as well. In addition, several lung cancer-associated bacterial genera have been detected by different independent studies. These bacterial genera may not be perfect biomarkers, but they still serve as promising risk factors for lung cancers and show great prognostic value.
Collapse
Affiliation(s)
| | - Juan Huang
- Correspondence: ; Tel.: +86-181-0818-9376
| |
Collapse
|
16
|
Wu X, Denise BB, Zhan F, Zhang J. Determining Association between Lung Cancer Mortality Worldwide and Risk Factors Using Fuzzy Inference Modeling and Random Forest Modeling. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192114161. [PMID: 36361041 PMCID: PMC9659002 DOI: 10.3390/ijerph192114161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 06/02/2023]
Abstract
Lung cancer remains the leading cause for cancer mortality worldwide. While it is well-known that smoking is an avoidable high-risk factor for lung cancer, it is necessary to identify the extent to which other modified risk factors might further affect the cell's genetic predisposition for lung cancer susceptibility, and the spreading of carcinogens in various geographical zones. This study aims to examine the association between lung cancer mortality (LCM) and major risk factors. We used Fuzzy Inference Modeling (FIM) and Random Forest Modeling (RFM) approaches to analyze LCM and its possible links to 30 risk factors in 100 countries over the period from 2006 to 2016. Analysis results suggest that in addition to smoking, low physical activity, child wasting, low birth weight due to short gestation, iron deficiency, diet low in nuts and seeds, vitamin A deficiency, low bone mineral density, air pollution, and a diet high in sodium are potential risk factors associated with LCM. This study demonstrates the usefulness of two approaches for multi-factor analysis of determining risk factors associated with cancer mortality.
Collapse
Affiliation(s)
- Xiu Wu
- Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USA
| | - Blanchard-Boehm Denise
- Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USA
| | - F.Benjamin Zhan
- Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USA
| | - Jinting Zhang
- School of Resource and Environmental Science, Wuhan University, Wuhan 430070, China
| |
Collapse
|
17
|
Yuan X, Wang Z, Li C, Lv K, Tian G, Tang M, Ji L, Yang J. Bacterial biomarkers capable of identifying recurrence or metastasis carry disease severity information for lung cancer. Front Microbiol 2022; 13:1007831. [PMID: 36187983 PMCID: PMC9523266 DOI: 10.3389/fmicb.2022.1007831] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background Local recurrence and distant metastasis are the main causes of death in patients with lung cancer. Multiple studies have described the recurrence or metastasis of lung cancer at the genetic level. However, association between the microbiome of lung cancer tissue and recurrence or metastasis remains to be discovered. Here, we aimed to identify the bacterial biomarkers capable of distinguishing patients with lung cancer from recurrence or metastasis, and how it related to the severity of patients with lung cancer. Methods We applied microbiome pipeline to bacterial communities of 134 non-recurrence and non-metastasis (non-RM) and 174 recurrence or metastasis (RM) samples downloaded from The Cancer Genome Atlas (TCGA). Co-occurrence network was built to explore the bacterial interactions in lung cancer tissue of RM and non-RM. Finally, the Kaplan–Meier survival analysis was used to evaluate the association between bacterial biomarkers and patient survival. Results Compared with non-RM, the bacterial community of RM had lower richness and higher Bray–Curtis dissimilarity index. Interestingly, the co-occurrence network of non-RM was more complex than RM. The top 500 genera in relative abundance obtained an area under the curve (AUC) of 0.72 when discriminating between RM and non-RM. There were significant differences in the relative abundances of Acidovorax, Clostridioides, Succinimonas, and Shewanella, and so on between RM and non-RM. These biomarkers played a role in predicting the survival of lung cancer patients and were significantly associated with lung cancer stage. Conclusion This study provides the first evidence for the prediction of lung cancer recurrence or metastasis by bacteria in lung cancer tissue. Our results highlights that bacterial biomarkers that distinguish RM and non-RM are also associated with patient survival and disease severity.
Collapse
Affiliation(s)
- Xuelian Yuan
- School of Mathematical Sciences, Ocean University of China, Qingdao, China
| | - Zhina Wang
- Department of Respiratory and Critical Care, Emergency General Hospital, Beijing, China
| | - Changjun Li
- School of Mathematical Sciences, Ocean University of China, Qingdao, China
- *Correspondence: Changjun Li,
| | - Kebo Lv
- School of Mathematical Sciences, Ocean University of China, Qingdao, China
| | - Geng Tian
- Geneis Beijing Co., Ltd., Beijing, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
| | - Min Tang
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Lei Ji
- Geneis Beijing Co., Ltd., Beijing, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
- Lei Ji,
| | - Jialiang Yang
- Geneis Beijing Co., Ltd., Beijing, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
- Chifeng Municipal Hospital, Chifeng, China
- Jialiang Yang,
| |
Collapse
|
18
|
Vogtmann E, Hua X, Yu G, Purandare V, Hullings AG, Shao D, Wan Y, Li S, Dagnall CL, Jones K, Hicks BD, Hutchinson A, Caporaso JG, Wheeler W, Sandler DP, Beane Freeman LE, Liao LM, Huang WY, Freedman ND, Caporaso NE, Sinha R, Gail MH, Shi J, Abnet CC. The Oral Microbiome and Lung Cancer Risk: An Analysis of 3 Prospective Cohort Studies. J Natl Cancer Inst 2022; 114:1501-1510. [PMID: 35929779 PMCID: PMC9664178 DOI: 10.1093/jnci/djac149] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/08/2022] [Accepted: 08/01/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Previous studies suggested associations between the oral microbiome and lung cancer, but studies were predominantly cross-sectional and underpowered. METHODS Using a case-cohort design, 1306 incident lung cancer cases were identified in the Agricultural Health Study; National Institutes of Health-AARP Diet and Health Study; and Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Referent subcohorts were randomly selected by strata of age, sex, and smoking history. DNA was extracted from oral wash specimens using the DSP DNA Virus Pathogen kit, the 16S rRNA gene V4 region was amplified and sequenced, and bioinformatics were conducted using QIIME 2. Hazard ratios and 95% confidence intervals were calculated using weighted Cox proportional hazards models. RESULTS Higher alpha diversity was associated with lower lung cancer risk (Shannon index hazard ratio = 0.90, 95% confidence interval = 0.84 to 0.96). Specific principal component vectors of the microbial communities were also statistically significantly associated with lung cancer risk. After multiple testing adjustment, greater relative abundance of 3 genera and presence of 1 genus were associated with greater lung cancer risk, whereas presence of 3 genera were associated with lower risk. For example, every SD increase in Streptococcus abundance was associated with 1.14 times the risk of lung cancer (95% confidence interval = 1.06 to 1.22). Associations were strongest among squamous cell carcinoma cases and former smokers. CONCLUSIONS Multiple oral microbial measures were prospectively associated with lung cancer risk in 3 US cohort studies, with associations varying by smoking history and histologic subtype. The oral microbiome may offer new opportunities for lung cancer prevention.
Collapse
Affiliation(s)
- Emily Vogtmann
- Correspondence to: Emily Vogtmann, PhD, MPH, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, MSC 9768, Bethesda, MD 20892, USA (e-mail: )
| | | | - Guoqin Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Vaishnavi Purandare
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Autumn G Hullings
- Nutrition Department, University of North Carolina, Chapel Hill, NC, USA
| | - Dantong Shao
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yunhu Wan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA
| | - Shilan Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, USA
| | - Casey L Dagnall
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA
| | - Belynda D Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA
| | - J Gregory Caporaso
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | | | - Dale P Sandler
- Epidemiology Branch, Chronic Disease Epidemiology Group, National Institute for Environmental Health Science, Research Triangle Park, NC, USA
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mitchell H Gail
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| |
Collapse
|
19
|
Yoon HS, Shu XO, Gao YT, Yang G, Cai H, Shi J, Yang JJ, Rothman N, Lan Q, Zheng W, Cai Q. Tooth Loss and Risk of Lung Cancer among Urban Chinese Adults: A Cohort Study with Meta-Analysis. Cancers (Basel) 2022; 14:2428. [PMID: 35626036 PMCID: PMC9140069 DOI: 10.3390/cancers14102428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 12/10/2022] Open
Abstract
Epidemiological evidence on tooth loss and lung cancer risk remains limited, especially for smoking-specific associations. To investigate the association between tooth loss and lung cancer risk by smoking status, we first analyzed data from the Shanghai Men’s Health Study (n = 49,868) and the Shanghai Women’s Health Study (n = 44,309). Cox regression models were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer risk in relation to tooth loss. We also conducted a meta-analysis to summarize epidemiologic findings to date, incorporating results from the current study and six previously published studies. For 7.3 median follow-up years, 973 incident lung cancer cases (613 men and 360 women) were ascertained. After adjustment for major covariates, tooth loss was associated with an increased risk of lung cancer among men (HR [95% CI] for >10 teeth vs. none = 1.59 [1.21−2.11]) but not among women (0.86 [0.50−1.46]). The positive association was stronger among male current smokers (1.75 [1.26−2.45], p-interaction by smoking status = 0.04). In a meta-analysis incorporating 4052 lung cancer cases and 248,126 non-cases, tooth loss was associated with a 1.64-fold increased risk of developing lung cancer (relative risk [RR, 95% CI] for the uppermost with the lowest category = 1.64 [1.44−1.86]). The positive association was more evident among current smokers (1.86 [1.41−2.46]), but no significant associations were found among never or former smokers. Our findings suggest that tooth loss may be associated with an increased risk of lung cancer, and the association could be modified by smoking status.
Collapse
Affiliation(s)
- Hyung-Suk Yoon
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 201112, China;
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA; (N.R.); (Q.L.)
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA; (N.R.); (Q.L.)
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; (H.-S.Y.); (X.-O.S.); (G.Y.); (H.C.); (J.S.); (J.J.Y.); (W.Z.)
| |
Collapse
|