Effect of Cigarette Smoking on Thyroid Cancer: Meta-Analysis

Joon-Hyop Lee; Young Jun Chai; Ka Hee Yi

doi:10.3803/EnM.2021.954

Endocrinol Metab > Volume 36(3); 2021 > Article

Lee, Chai, and Yi: Effect of Cigarette Smoking on Thyroid Cancer: Meta-Analysis

Original Article

Thyroid

Endocrinology and Metabolism 2021;36(3):590-598.

Published online: May 26, 2021

DOI: https://doi.org/10.3803/EnM.2021.954

Effect of Cigarette Smoking on Thyroid Cancer: Meta-Analysis

Joon-Hyop Lee¹

, Young Jun Chai^2,³

, Ka Hee Yi⁴

¹Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea

²Department of Surgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea

³Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea

⁴Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea

Corresponding authors: Ka Hee Yi, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea,
Tel: +82-2-870-3864, Fax: +82-2-870-3866, E-mail: imykh@naver.com. Young Jun Chai, Department of Surgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea,
Tel: +82-2-870-3294, Fax: +82-2-831-0714, E-mail: kevinjoon@naver.com

Received January 05, 2021 Revised March 01, 2021 Accepted March 29, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Although smoking is generally carcinogenic, its effect on thyroid cancers is still subject to controversy. The purpose of this study was to summarize the role of smoking in relation to thyroid cancer occurrence.

Methods

We performed a meta-analysis of 24 eligible studies: 21 case-control studies and three prospective cohort studies. The summary odds ratio (OR) and 95% confidence interval (CI) of all studies were acquired based on random effect model. Further subgroup analyses were conducted according to gender, histological type of thyroid cancer, and smoking status of patients for the case-control studies.

Results

The summary effect size indicated a negative association of smoking for thyroid cancer (OR, 0.798; 95% CI, 0.681 to 0.935). From the subgroup analyses for the case-control studies, reduced risk of thyroid cancer was observed in both men (OR, 0.734; 95% CI, 0.553 to 0.974) and women (OR, 0.792; 95% CI, 0.700 to 0.897). The protective effect of smoking was observed in studies in which thyroid cancer was limited to differentiated thyroid cancers (DTCs) (OR, 0.798; 95% CI, 0.706 to 0.902).

Conclusion

Our results suggests that smoking may have a protective effect on thyroid cancer, especially on DTCs. Further studies with larger sample sizes should be conducted in elucidating the dose and time dependent effect of smoking on thyroid cancer with specific focus on the types of thyroid cancers.

Keywords: Smoking; Thyroid neoplasms; Association

INTRODUCTION

Thyroid cancer incidence has rapidly increased in the recent decades [1]. Many assume that such increase is caused by the improvement of diagnostic modalities or facilitated access to healthcare service [1], but there are counter-arguments claiming that some portion of the increase may be caused by potentially carcinogenic factors such as exposure to iodine or other behavioral factors [1,2].

In general, active cigarette smoking is one of the most well-known causes of cancer. It has been labelled as a carcinogenic factor for 12 cancers in a report published by the International Agency for Research on Cancer [3]. The evidence is equivocal; however, in the case of thyroid cancers; while some data support the carcinogenic effect of smoking on thyroid cancer [4], others demonstrate no significant effect of smoking on thyroid cancer [5,6] and some even support the decreased risk of thyroid cancer associated with cigarette smoking [7,8]. Because of the discordant results of many individual studies, a meta-analysis was necessary to synthesize the results and increase the statistical power.

The aim of this study was to investigate and summarize the role of smoking in relation to thyroid cancer occurrence. The population of individual studies consisted of thyroid cancer patients from hospital-based cohorts whereas non-cancer participant data were derived from either community or hospital-based cohorts. The intervention of interest was the participants’ status of smoking (ever/current/former smoker—depending on the studies). The case patients were smokers whereas the control were non-smokers. The outcome was the number of subjects that were diagnosis with thyroid cancer during the study period in each group. Both prospective cohort and case-control studies were included. We conducted further subgroup analyses in order to elucidate the source of heterogeneity.

METHODS

The institutional board (GCIRB2019-329) approved this study. The inclusion criteria included case-control or prospective cohort studies published in English extracted from search results on PubMed, Embase, and the Cochrane Library for studies that had investigated the effect of smoking on thyroid cancer occurrence and were published prior to November 13, 2019. The search was conducted by combining the medical subject heading term ‘thyroid neoplasm’ with the following keywords: (1) cigarette, (2) smoking, (3) tobacco, and (4) nicotine. Two researchers independently extracted and reviewed the abstracts or full text of the articles. Based on the title, abstract, and full text, the relevance of the identified studies was assessed through a hierarchical approach. Any disagreement between the two researchers during the selection process was resolved by discussion with a substantial inter-rater agreement (kappa statistic=0.81; 95% confidence interval [CI], 0.69 to 0.91). After searching titles in PubMed (n=366), Embase (n=279), and the Cochrane Library (n=15), an abstract review was performed for 177 studies, and a full-text review was performed for 36 articles, the process which is summarized in Fig. 1. Thirteen studies were not included in this analysis owing to the following exclusion criteria: report on overlapping cohorts (n=4) [9-12], missing data on the number of smokers (n=4) [13-16], missing comparison of different smoking status groups (n=3) [17-19], no presentation of novel data (n=2) [20,21]. After the exclusions, 23 studies were included in the analyses. The study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Supplemental Table S1) [22].

Statistical analyses were conducted using the Comprehensive Meta-Analysis version 2.0 software (Biostat, Englewood, NJ, USA). The null hypothesis of no difference was rejected if P values were <0.05 or the 95% CI of risk estimates excluded 1. Because the individual studies consisted of a heterogeneous range of cigarette smoking assessment methods, random effects models [23] were used to calculate the odds ratios (OR) and 95% CIs based on analysis of Q-statistics. To estimate the degree of heterogeneity, P values for heterogeneity and I² statistics were obtained, and a sensitivity analysis was subsequently performed to identify the source. In order to assess the risk of bias regarding our study, publication bias was visualized using a funnel plot and quantified with Egger’s linear regression by determining the asymmetry and was visualized using a funnel plot [24]. Furthermore, we assessed the quality of each individual studies using the Newcastle-Ottawa Scale which revealed a score of either 6 or 7 in all the studies [25].

To obtain the summary effect size, the data were grouped into cases (smokers) or controls (non-smokers). Because the definition of smoking status differed among the studies, it was necessary to redefine the case and control groups. Ever smokers (as presented in the individual studies) were defined as cases, and non-smokers (those who had never smoked) were defined as controls. Likewise, in articles that presented former and current smokers separately (as opposed to ever-smokers as a whole), subjects were combined to form the case group. Furthermore, the male and female groups were recognized as separate cohorts in studies where sex was analyzed separately.

The main analysis compared the effect size between the case and control groups of all studies in OR. Due to the heterogeneity of the studies, subsequent subgroup analyses were performed to retain homogeneity based on (1) the type of study (case-control vs. prospective cohort studies), (2) sex, and (3) the type of thyroid cancer (differentiated thyroid cancers [DTCs] vs. non-specified).

RESULTS

Twenty-three articles were selected for analyses, among which 21 [4,6,26-44] were case-control studies, and two were prospective cohorts (Table 1) [45,46]. In 15 studies [4,6,26,27,30,34-37,39-44] both sexes were analyzed; separate analyses for each sex were conducted in five studies [6,26,30,34,44]. Only women were analyzed in seven studies [28,29,31-33,45,46] and only men were studied in one [38]. Eleven studies analyzed the effect of smoking on DTCs specifically [6,29,31,34,36,38-40,44-46] and 13 assessed its effect on thyroid cancer without specifying the type [4,26-28,30,32,33,35,37,41-43,45,46].

The summary effect size indicated the protective effect of smoking on thyroid cancer risk (OR, 0.798; 95% CI, 0.681 to 0.935; P value for heterogeneity >0.001; I²=84.89%) (Fig. 2). The funnel plot demonstrated symmetry, which was confirmed by an Egger’s intercept of −0.066 and a 2-tailed P value of 0.931 to address the issue of publication bias. Sensitivity analysis, performed by removing each study, demonstrated a consistent OR for all studies (Fig. 3).

In the subgroup analysis, the case control studies (OR, 0.779; 95% CI, 0.639 to 0.951) demonstrated the protective effect of smoking, but the two prospective cohorts (relative risk [RR], 1.090; 95 % CI, 0.897 to 1.326) did not. Furthermore, a reduced risk of thyroid cancer was observed both in male smokers (OR, 0.734; 95% CI, 0.553 to 0.974) and female smokers (OR, 0.792; 95% CI, 0.700 to 0.897). The observed protective effect was more pronounced in studies in which thyroid cancer was specified as DTC (OR, 0.798; 95% CI, 0.706 to 0.902) (Fig. 4), but such an effect was not observed for studies in which the type of thyroid cancer was not specified (OR, 0.896; 95% CI, 0.663 to 1.211).

DISCUSSION

This meta-analysis suggests that smoking offers a protective effect against thyroid cancer occurrence. In particular, smokers were less likely to be diagnosed with DTC, which includes papillary thyroid and follicular thyroid carcinomas.

Kitahara et al. [8] reported that current smoking, greater smoking intensity, duration, and pack years were associated with a greater reduction in thyroid cancer risk. By contrast, two large cohort studies conducted in Canada and the USA demonstrated no significant relationship between smoking and thyroid cancer over a median follow-up of 16 to 20 years. These studies, however, were limited as they each had <200 incident thyroid cancers during the follow-up period [5,45].

Cho and Kim [47] conducted a meta-analysis to evaluate smoking and thyroid cancer occurrence using data from 31 studies. This analysis demonstrated a reduced thyroid cancer risk in subjects who had smoked (RR, 0.79; 95% CI, 0.70 to 0.88) compared with those who had never smoked. The results of the current meta-analysis are in agreement with the Cho analysis in that current smokers were less likely to be diagnosed with thyroid cancer. Cho and Kim [47] also demonstrated that papillary thyroid cancers benefited from the protective effect of smoking, as did the current analysis. However, the observation made by Cho and Kim [47] could not be substantiated because only three studies with patients identified as papillary thyroid carcinoma were included in the analysis. The authors acknowledged the possibility of a chance finding due to the small sample size and did not elaborate on this point. By contrast, the analysis reported here substantiates the protective effect of smoking on DTC occurrence by the inclusion of data from 10 studies.

Although the exact mechanism as to how smoking asserts a protective effect on thyroid cancer has not been elucidated, there is a possible connection between the risk of thyroid malignancy and thyroid stimulating hormone (TSH) concentration. According to the Boelaert et al. [48], the risk of malignancy in a thyroid nodule may increase with increasing serum TSH concentrations, even within normal range. A recent study revealed that extracts from cigarette smoking exhibit similar properties to thyroid hormones and can act as partial agonists for thyroid hormone receptors [49]. For smokers, the inhaled cigarette extracts could lead to increases in serum triiodothyronine and thyroxine, which could in turn lead to reduced serum TSH levels [50]. The resulting ‘TSH suppression’ effect would lead to decreased stimulation of the thyroid gland, which may explain why the thyroid cancer, and in particular DTCs, rates are lower in both male and female smokers.

Cigarette smoke exposure is reported to temporarily affect thyroid hormone levels [49]. The protective effect of smoking on thyroid cancer occurrence is lost 3 years after an individual quits smoking [29]. Furthermore, many of the individual studies presented smoking status as current and former smokers. In the current analysis, we did not conduct separate analyses between current and former smokers because the total period of smoking for both groups was not specified in most of the studies.

Our summary results should be interpreted with caution due to the innate limitations of a meta-analysis. First, as a meta-analysis of observational studies that may have inherent limitations, such as bias and uncontrolled cofounding factors, the results may reflect such limitations. Secondly, because our study encompassed many types of studies from different geographic locations and time periods, the Q-statistics and I² values indicated a high degree of heterogeneity. To address this issue, subgroup analyses were conducted to identify the source of the heterogeneity. Thirdly, cigarette smoking status was assessed based on self-reported questionnaires and the results are difficult to quantify and validate. Likewise, the definition of smoking was not consistent among the studies and the case and control group had to be redefined. Furthermore, gender disparity exists in thyroid cancer and smoking, which is even further complicated by inter-cultural variation of the gender disparity for smoking. With the limited information provided by the individual studies, however, we were not able to adjust for these factors in our subgroup analysis, resulting in a room for selection bias in the process of data extraction.

In conclusion, the results of this meta-analysis reveal that cigarette smoking could be inversely associated with thyroid cancer, which implies a protective effect. Moreover, the association was more pronounced in patients with DTC and was not seen in patients who had quit smoking. However, these data should be interpreted with caution and the fact that smoking is related to many malignancies should be considered. Additional, large, well-designed epidemiological and experimental studies are required to investigate the influence of smoking on the occurrence of thyroid cancer further.

Supplementary Information

Supplemental Table S1.

PRISMA 2009 Checklist

enm-2021-954-suppl.pdf

NOTES

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTIONS

Conception or design: J.H.L., Y.J.C., K.H.Y. Acquisition, analysis, or interpretation of data: J.H.L., Y.J.C., K.H.Y. Drafting the work or revising: J.H.L., Y.J.C., K.H.Y. Final approval of the manuscript: J.H.L., Y.J.C., K.H.Y.

Acknowledgments

This research was supported by a grant of Patient-Centered Clinical Research Coordinating Center funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI19-C0481, HC19C0103).

Fig. 1

Study selection process.

Fig. 2

Summary effect size of association between smoking and thyroid cancer occurrence. DTC, differentiated thyroid cancer; CI, confidence interval.

Fig. 3

Funnel plot assessing publication bias.

Fig. 4

Effect of smoking on differentiated thyroid carcinoma. DTC, differentiated thyroid cancer; CI, confidence interval.

Table 1

Baseline Characteristic of Studies Included in the Final Analysis

Study	Year	Location	Control source	Age range	Sex	Number^a	Cancer type	Case+ cancer	Total case	Control+ cancer	Total control	RR^b OR^c	95% CI	NOS^c
Prospective cohort
Navarro Silvera et al. [46]	2005	Canada	Community	NS	F	89,835	NS					1.04	0.76-1.43	7
Navarro Silvera et al. [46]							DTC					1.07	0.76-1.51
Kabat et al. [47]	2012	USA	Community	NS	F	159,340	NS					1.08	0.87-1.34	7
Kabat et al. [47]							DTC					1.1	0.87-1.4
Case-control

Kolonel et al. [27]	1990	Hawaii	Community	≥18	M	164	NS					1.3	0.6-2.7	6
Kolonel et al. [27]					F	468	NS					0.7	0.5-1.1
Preston-Martin et al. [28]	1993	China	Community	18-54	NS		NS	6	207	3	207			6
Sokic et al. [5]	1994	Yugoslavia	Hospital	NS	NS	200	NS					7.12	1.53-32.99	6
Galanti et al. [29]	1996	Norway/ Sweden	Community	18-75	F		NS	89	189	186	332			6
Takezaki et al. [30]	1996	Japan		20-79	F		DTC	10	94	4,337	26,640			6
Kreiger et al. [31]	2000	Canada	Community	NS	M	1,037	NS					0.77	0.58-1.02	7
Kreiger et al. [31]					F	2,846	NS					0.71	0.6-0.83
Rossing et al. [32]	2000	USA	Community	18-64	F		DTC	156	410	270	574			7
Memon et al. [33]	2002	Kuwait	Community	≤70	F		NS	217	238	226	238			6
Zivaljevic et al. [34]	2004	Serbia	Community	14-87	F		NS	136	204	151	204			7
Guignard et al. [7]	2007	New Caledonia	Community	≥18	M		DTC	16	39	38	58			7
Guignard et al. [7]					F		DTC	112	293	138	354
Nagano et al. [35]	2007	Japan	Community	≤75	M		DTC	43	57	48	57			7
Nagano et al. [35]					F		DTC	27	305	43	305
Bandurska-Stankiewicz et al. [36]	2011	Poland	Community	NS	NS		NS	89	297	254	589			7
Marcello et al. [37]	2012	Brazil	Community	NS	NS		DTC	46	115	37	103			7
Kalezic et al. [38]	2013	Serbia	Community	NS	NS		NS	38	98	119	196			6
Zivaljevic et al. [39]	2013	Serbia	Community	13-81	M		DTC	109	204	143	204			6
Lence-Anta et al. [40]	2014	Cuba	Hospital	17-60	NS		DTC	59	203	87	212			6
Moura et al. [41]	2014	Brazil	Hospital	≥18	NS	4,232	DTC					0.8	0.7-0.8	6
Stansifer et al. [42]	2015	USA	Hospital	NS	NS		NS	56	467	53	255			6
Myung et al. [43]	2017	Korea	Hospital	30-70	NS		NS	393	802	206	802			6
Yoo et al. [44]	2018	Korea	Community	≥20	NS		NS	9	102	7	115			7
Kim et al. [45]	2019	Korea	Community	NS	M		DTC	295	122	3,055	1,115			7
Kim et al. [45]					F		DTC	61	1,664	725	16,515

RR, relative risk; OR, odds ratio; CI, confidence interval; NOS, Newcastle-Ottawa Scale; NS, not specified; DTC, differentiated thyroid cancer.

^a Number of participants;

^b For prospective cohort studies;

^c For retrospective case-control studies.

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