Literature DB >> 35117038

Association between Chlamydia pneumoniae infection and lung cancer: a meta-analysis.

Chunxi Wang1, Naxin Zhang1, Liang Gao1.   

Abstract

BACKGROUND: The aim of this study is to explore the correlation between Chlamydia pneumoniae (C. pneumoniae) infection and lung carcinoma.
METHODS: Databases of PubMed, Embase, Embase, Ovid, Wanfang and China National Knowledge Infrastructure (CNKI) database were investigated for eligible literatures from their establishments to February, 2019. Included studies were selected according to specific eligibility criteria. Statistical analysis was performed by RevMan 5.3 software.
RESULTS: Thirteen studies with 2,553 lung carcinoma cases and 2,460 controls were eligible for meta-analysis. The pooled results indicated that the C. pneumoniae infection IgA significantly increased the risk of lung carcinoma (OR =3.19; 95% CI, 1.96-5.19; P<0.00001) by random effect model. And for serum IgG, the pooled OR was 2.02 (95% CI, 1.29-3.16; P<0.00001) by using the random effects model. The results indicated that the IgA positive rate was significantly higher in lung cancer patients than healthy controls.
CONCLUSIONS: This meta-analysis revealed that C. pneumoniae infection may be a potential risk factor for lung carcinoma. However, due to its significant heterogeneity in the included studies, the consequence should be understood with caution. 2019 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Chlamydia pneumoniae infection; lung cancer; meta-analysis; risk factors

Year:  2019        PMID: 35117038      PMCID: PMC8797589          DOI: 10.21037/tcr.2019.10.35

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Lung cancer is the most common diagnosed cancer, accounting for 11.6% (2,093,876 new cases) of new carcinomatosis cases and 18.4% (1,761,007 deaths) of all cancer deaths in 2018 (1). The 1- and 5-year survival rates were 42% and 15%, respectively, and it is poor while compared with those in high incidence of other cancer (2). The mechanism of lung cancer has not been fully understood. Smoking status was identified as the most crucial independent risk element for lung cancer (3,4). Some literatures also proved that both genetic and environment factors were related to the risk of lung carcinoma, such as exposure to radon and asbestos, air pollution, second-hand smoking and chronic bacterial infection and parasitic infections [Chlamydia pneumoniae (C. pneumoniae)] (5,6). C. pneumoniae, a gram-negative bacterium, has been present as an individual species since 1989, is a common respiratory pathogen that causes the chronic and persistent respiratory infections (7,8). C. pneumoniae infection not only lead to worldwide widespread respiratory infections such as pneumonia, pharyngitis, bronchitis, and sinusitis, but also associated with asthma, chronic obstructive pulmonary disease, and atherosclerosis (9). Kuo et al. have reported that C. pneumoniae infection causes an average of 7–10% of community-acquired pneumonia (CAP) and 5% of bronchitis and sinusitis cases among adults (10). Laurila et al. (11) firstly discovered that C. pneumoniae infection might be an independent hazards for lung carcinoma in 1997 according to the relevant observation case-control research. Since then, the potential risk of C. pneumoniae and lung cancer has been vividly studied (12,13), but the results have been inconsistent. In order to comprehensively evaluate the association between C. pneumonia is infection and lung carcinoma, and to provide scientific basis for the etiology study, clinical treatment of lung cancer, we performed the meta-analysis from all eligible researches to explore the relationship between C. pneumoniae infection and lung carcinoma risk.

Methods

Search strategy

A systematic search was performed conducted on PubMed, Embase, Ovid, Wanfang and China National Knowledge Infrastructure (CNKI) databases. The search terms were as follows: “Chlamydia pneumoniae”, “lung cancer” and their synonyms or similar words (from their inception to February, 2019). Searches were limited to English and Chinese literature and were first screened by two independent reviewers. Furthermore, reference lists of all included articles and related comments were searched manually to find other potentially eligible articles.

Inclusion and exclusion criteria

For inclusion, articles were selected on the basis of the following criteria: (I) evaluating the relationship between C. pneumoniae infection and lung carcinoma risk; (II) study design was limited to prospective cohort studies or retrospective case-control studies; (III) clinical pathology confirmed lung cancer patients; (IV) the control group was relative healthy people with no diagnosis of any cancer; (V) the C. pneumoniae infection rate can be extracted from the included individual studies.

Assessment of methodological quality of included articles

All articles that met the inclusion criteria were evaluated to assess the risk of bias in each outcome. The evaluation was conducted independently by two comments using the Cochrane Collaboration’s risk of bias tool as depictive in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions, version 5.1.0. 2011, http://handbook.cochrane.org/). If there were any disagreements in the evaluation study, we have discussed it. The results of the assessment measured the following areas: random sequence generation, allocation concealment, blinding, incomplete outcome data addressed, free of selective outcome reporting, and other possible sources of bias. The consequences of the meta-analysis were comprehended as the results of the study on the risk of bias.

Data extraction

Data collection and analysis were carried out in accordance with the standard Cochrane protocol (14). Two authors independently reviewed and extracted the following data from every study: study design, study year, participants number, the positivity or negativity for C. pneumoniae (IgA, IgG) antibody. We attempted to find and exclude duplicate data from different studies. For multiple studies of repeated or overlapping data (by population, time, location, and results), we followed the PRISMA reporting guidelines when submitting manuscripts.

Statistical analysis

Meta-analysis was performed with the Cochrane Collaboration’s Review Manager Software (RevMan, version 5.1). Odds ratio (OR) with 95% CI (confidence interval) was performed to evaluate the potential relationship between chronic C. pneumoniae infection and lung carcinoma risk. Heterogeneity was evaluated by I square test. Random effects model was used if heterogeneity was significant (I2>50%). When heterogeneity was not detected or the heterogeneity was relatively small, fixed effects model was performed.

Results

Literature selection and bias

Totally of 65 potentially related researches and abstracts were identified (). After removal of repeats (n=21) and filtration of abstracts (n=23), 21 full-text researches were evaluated for eligibility. Eight studies were excluded for the following: abstract (n=2), letter (n=2), duplicated data (n=3), study on Chlamydia pneumonia-antigen (n=1). Thirteen publications (11,15-26) were ultimately eligible for final meta-analysis. No more citations were found from the reference review.
Figure 1

Flow chart showing results of the literature search and study inclusion.

Flow chart showing results of the literature search and study inclusion. The detail of the risk-of-bias evaluation of included researches was summarized in . All studies were evaluated as low risk according to the appropriate randomization sequence. However, many relative information in the studies wasn’t available, such as allocation concealment and blinding of participants and personnel, blinding of outcome assessment. Nevertheless, the overall methodological quality was generally fair.
Figure 2

Risk of bias assessment in randomized trials and single-arm studies. Green indicates low risk of bias, yellow indicates medium risk of bias, and red indicates high risk of bias.

Risk of bias assessment in randomized trials and single-arm studies. Green indicates low risk of bias, yellow indicates medium risk of bias, and red indicates high risk of bias.

Intervention characteristics

The included articles were printed between 1997 and 2013, involving 2,553 lung cancer cases and 2,460 controls. Controls were predominantly healthy people and matched for age, sex and/or smoking status. Of the 13 included articles (11,15-26), 6 were published in Chinese and 7 papers were published in English. For the study design, three articles were nest case-control and other 10 were case-control studies. Sample sizes ranged from 103 to 1,264. The characteristics of the studies is presented in .
Table 1

Main characteristics of the studies included in the meta-analysis

Included studiesStudies designSample sizeAge, yearsSex (male/female)Case (positive/all)Control (positive/all)
IgAIgGIgAIgG
Yuqing 2001Case-control80:8058±17:57±1964/16:64/1669/8057/80
Yanbin 2004Case-control50:108NA:40.8±8.5NA:63/4528/5022/108
Meichun 2004Case-control128:7067.8:52.399/29:46/243/1281/70
Yanbin 2005Case-control87:10850.9±11:48.1±10.151/36:63/4556/8762/8722/10851/108
Xiumei 2010Case-control36:67NANA:40/2726/366/67
Fei 2014Case-control185:19058.57±9.49:57.96±9.28133/52:135/5549/185110/18513/19065/190
Laurila 1997Nest case-control230:23060.3:60.3NA129/230225/230106/230219/230
Jackson 2000Case-control143:14759.8:59.4NA67/143114/14356/147118/147
Koyi 2001Case-control198:68128/70: NA116/19888/19811/6813/68
Kocazeybek 2003Case-control123:12355:55:00101/22:101/2262/12398/12325/12362/123
Littman 2004Nest case-control508:50859:59:00254/254:254/254281/508324/508261/508326/508
Chaturvedi 2010Nest case-control593:671NA407/186:437/234174/593293/593201/671356/671
Liu 2010Case-control192:9054.6±10.4:53.6±9.40/192:0/90119/19226/90

Relationship between C. pneumoniae IgA antibody and lung carcinoma

Eleven studies reported the relationship between C. pneumoniae infection and lung carcinoma risk by using the serum IgA. Among them, significant heterogeneity was scanned (I2=91%; heterogeneity P<0.00001; ). Random effect model was performed and the result showed that the C. pneumoniae infection significantly improved the risk of lung carcinoma (OR =3.19; 95% CI, 1.96–5.19; P<0.00001).
Figure 3

Forest plot for association between C pneumonia IgA infection and lung cancer risk.

Forest plot for association between C pneumonia IgA infection and lung cancer risk.

Relationship between C. pneumoniae IgG antibody and lung carcinoma

Ten studies reported the relationship between C. pneumoniae infection and lung carcinoma risk by using the serum IgG. Among them, significant heterogeneity was scanned (I2=88%; heterogeneity P<0.00001; ). Random effect model was performed and the result showed that the C. pneumoniae infection significantly improved the risk of lung carcinoma (OR =2.02; 95% CI, 1.29–3.16; P=0.002).
Figure 4

Forest plot for association between C pneumonia IgG infection and lung cancer risk.

Forest plot for association between C pneumonia IgG infection and lung cancer risk.

Discussion

Lung carcinoma is reported to be the most common cancer among women and men, representing huge social and economic burdens in both developing and developed countries (27). However, the risk factors for its occurrence has not been fully understood. In recent years, studies have reported that the pulmonary inflammatory disease is significantly related to the risk of lung carcinoma. C. pneumonia, which is closely related to chronic lung inflammation and may act an significant part in progression of lung carcinoma (28). Therefore, we performed the meta-analysis of all published articles to determine the relationship between C. pneumoniae infection and lung carcinoma risk. Our meta-analysis included 13 studies, including 2,553 lung carcinoma cases and 2,460 controls. Results showed that C. pneumoniae infection was significantly related to the risk of lung carcinoma, with a 3.19-fold increased risk compared to a negative titre (95% CI, 1.96–5.19) for IgA and 2.02 times (95% CI, 1.29–3.16) for IgG. The association between C. pneumoniae infection and lung carcinoma is reasonable in biology, but the mechanism is still not clear. There are three possible reasons for this mechanism. Firstly, chronic inflammation played an important part in development of malignant transformation (11). Medicaments that induce inflammation, such as infectious substances, can induce stretched-out stimulation, leading to cell death and increased mitotic activity. Subsequent cell division that happens during the repair of the damaged tissue possibly enhance the risk of cancer in the affected area (29). For instance, several researches have linked chronic infection with Helicobacter pylori to an enhanced the risk of gastric adenocarcinoma (30,31). Chumduri et al. reported that Chlamydia trachomatis infection perturb host chromatin, DNA double-strand breaks (DSBs) repair, and cell-cycle regulation, thus promoting DNA double strand breaks in host cells, inducing genomic instability and leading to cancer (32). C. pneumoniae may act a similar part in the occurrence and progress of lung carcinoma. C. pneumoniae promotes the delivery of inflammatory mediators, such as tumor necrosis factor (TNF), interleukin-10, and interleukin-8 (33). Chronic infection mediators, especially interleukin-8, may lead to genetic damage. Interleukin-8 also promotes the growth of human non-small cell lung carcinoma (NSCLC) by its angiogenic characteristics. In addition, C. pneumoniae may damage or even block apoptosis in infected cells via inducting interleukin-10 (34), leading to chronic infection and increasing the risk of vicious transformation of infected cells. On the other hand, molecular simulation theory. Persistent C. pneumoniae infection could cause the release of endotoxin-like substance chlamydial heat shock protein-60 (CHSP-60). CHSP-60 is expressed throughout the life cycle of C. pneumoniae infection and may act a major part in the pathogenesis of lung carcinoma (35). In addition, Mayer et al. also demonstrated that C. pneumoniae infection may cause the release of nitric oxide (36), the mutagenicity of nitric oxide and other metabolites has been confirmed elsewhere (37). Last but not least, some studies have reported that C. pneumoniae infection promotes the liberation of inflammatory mediators, such as nuclear factor-kappa B (NF-κB), TNF-α, and interleukin-8 (33), triggering the abnormal inflammatory response. Overexpression of inflammatory mediators and inadequate production of anti-inflammatory mediators can cause inflammatory reactions in the body, which in turn lead to overexpression of toll-like receptor (TLR) on the cell surface. However, the TLR signaling pathway may act a part in the carcinogenesis and progression of tumors. Bauer et al. revealed that TLR4-mediated gene expression pathways, which can be used as prognostic marks for predicting lung cancer susceptibility in mice (38). The present study has several limitations that ought to be considered. Firstly, heterogeneity is an underlying conundrum when explanation all the studies of meta-analyses. Although we carefully searched the published articles, using explicit research inclusion criteria, strictly performed data collection and analysis, the significant heterogeneity between researches still existed. The existence of heterogeneity could arise from differences in the choice of controls, age distribution, prevalence rates and so on. Secondly, the inconsistency of the study population may lead to uncertainty in the research results. In summary, the results of this meta-analysis demonstrate that the C. pneumoniae infection may increase the risk of lung carcinoma. Future prospective studies with extensive people are required to validate the connection of C. pneumoniae infection and lung carcinoma.
  30 in total

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Authors:  C A Gaydos
Journal:  J Infect Dis       Date:  2000-06       Impact factor: 5.226

2.  Lack of association between serum antibodies of Chlamydia pneumoniae infection and the risk of lung cancer.

Authors:  Jennifer S Smith; Urban Kumlin; Fredrik Nyberg; Cristina Fortes; David Zaridze; Wolfgang Ahrens; Irene Bruske-Hohlfeld; Vali Constantinescu; Jie Ting; Simone Benhamou; Lorenzo Simonato; Jens Boman; Valerie Gaborieau; Paolo Boffetta
Journal:  Int J Cancer       Date:  2008-11-15       Impact factor: 7.396

3.  2009 updated method guidelines for systematic reviews in the Cochrane Back Review Group.

Authors:  Andrea D Furlan; Victoria Pennick; Claire Bombardier; Maurits van Tulder
Journal:  Spine (Phila Pa 1976)       Date:  2009-08-15       Impact factor: 3.468

4.  Association of Chlamydia pneumoniae immunoglobulin G antibodies with the risk of lung cancer among non-smoking women in Liaoning, China.

Authors:  Zhuang Liu; Meng Su; Shi-Cheng Yu; Zhi-Hua Yin; Bao-Sen Zhou
Journal:  Thorac Cancer       Date:  2010-09       Impact factor: 3.500

5.  Chlamydia pneumoniae sero-prevalence in Moroccan patients with cardiovascular diseases.

Authors:  Fouzia Radouani; Loubna El Yazouli; Zakaria Elyazghi; Hicham Hejaji; Aziz Aroussi Alami; Naima Elmdaghri
Journal:  Infect Dis Health       Date:  2018-12-01

Review 6.  Chlamydia pneumoniae (TWAR).

Authors:  C C Kuo; L A Jackson; L A Campbell; J T Grayston
Journal:  Clin Microbiol Rev       Date:  1995-10       Impact factor: 26.132

7.  An association between chronic infection with Chlamydia pneumoniae and lung cancer. A prospective 2-year study.

Authors:  H Koyi; E Brandén; J Gnarpe; H Gnarpe; B Steen
Journal:  APMIS       Date:  2001-09       Impact factor: 3.205

8.  Chronic Chlamydophila pneumoniae infection in lung cancer, a risk factor: a case-control study.

Authors:  Bekir Kocazeybek
Journal:  J Med Microbiol       Date:  2003-08       Impact factor: 2.472

9.  Gamma interferon-induced nitric oxide production reduces Chlamydia trachomatis infectivity in McCoy cells.

Authors:  J Mayer; M L Woods; Z Vavrin; J B Hibbs
Journal:  Infect Immun       Date:  1993-02       Impact factor: 3.441

10.  Transcriptomic analysis of pathways regulated by toll-like receptor 4 in a murine model of chronic pulmonary inflammation and carcinogenesis.

Authors:  Alison K Bauer; Jennifer Fostel; Laura M Degraff; Elizabeth A Rondini; Christopher Walker; Sherry F Grissom; Julie Foley; Steven R Kleeberger
Journal:  Mol Cancer       Date:  2009-11-19       Impact factor: 27.401

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Review 1.  Chlamydia pneumoniae infections and development of lung cancer: systematic review.

Authors:  Nadeesha Madushani Premachandra; J A A Sampath Jayaweera
Journal:  Infect Agent Cancer       Date:  2022-03-22       Impact factor: 2.965

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