On the informative value of community-based indoor radon values in relation to lung cancer

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-08-28 DOI:10.1002/cam4.70126
Albert Rosenberger, Heike Bickeböller, David C. Christiani, Geoffrey Liu, Matthew B. Schabath, Luisa F. Duarte, Loic Le Marchand, Christopher Haiman, Teresa Landi, Dario Consonni, John K. Field, Michael P. A. Davies, Demetrios Albanes, Adonina Tardón, Guillermo Fernández-Tardón, Gad Rennert, Christopher I. Amos, Rayjean J. Hung
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Abstract

Background

Radon is a radioactive gas and a major risk factor for lung cancer (LC).

Methods

We investigated the dose–response relationship between radon and LC risk in the International Lung Cancer Consortium with 8927 cases and 5562 controls from Europe, North America, and Israel, conducted between 1992 and 2016. Spatial indoor radon exposure in the residential area (sIR) obtained from national surveys was linked to the participants' residential geolocation. Parametric linear and spline functions were fitted within a logistic regression framework.

Results

We observed a non-linear spatial-dose response relationship for sIR < 200 Bq/m3. The lowest risk was observed for areas of mean exposure of 58 Bq/m3 (95% CI: 56.1–59.2 Bq/m3). The relative risk of lung cancer increased to the same degree in areas averaging 25 Bq/m3 (OR = 1.31, 95% CI: 1.01–1.59) as in areas with a mean of 100 Bq/m3 (OR = 1.34, 95% CI: 1.20–1.45). The strongest association was observed for small cell lung cancer and the weakest for squamous cell carcinoma. A stronger association was also observed in men, but only at higher exposure levels. The non-linear association is primarily observed among the younger population (age < 69 years), but not in the older population, which can potentially represent different biological radiation responses.

Conclusions

The sIR is useful as proxy of individual radon exposure in epidemiological studies on lung cancer. The usual assumption of a linear, no-threshold dose–response relationship, as can be made for individual radon exposures, may not be optimal for sIR values of less than 200 Bq/m3.

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基于社区的室内氡值对肺癌的参考价值。
背景:氡是一种放射性气体,也是肺癌(LC)的主要危险因素:氡是一种放射性气体,也是肺癌(LC)的主要风险因素:我们调查了国际肺癌联盟(International Lung Cancer Consortium)中氡与肺癌风险之间的剂量-反应关系,调查对象包括来自欧洲、北美和以色列的 8927 例病例和 5562 例对照,调查时间为 1992 年至 2016 年。从国家调查中获得的住宅区室内氡空间暴露量(sIR)与参与者的住宅地理位置相关联。在逻辑回归框架内拟合了参数线性函数和样条函数:我们观察到 sIR 3 存在非线性空间剂量反应关系。平均暴露量为 58 Bq/m3 的地区风险最低(95% CI:56.1-59.2 Bq/m3)。在平均暴露量为 25 Bq/m3 的地区(OR = 1.31,95% CI:1.01-1.59)和平均暴露量为 100 Bq/m3 的地区(OR = 1.34,95% CI:1.20-1.45),肺癌相对风险的增加程度相同。小细胞肺癌的相关性最强,鳞状细胞癌的相关性最弱。在男性中也观察到了较强的相关性,但仅存在于较高的暴露水平中。非线性关联主要出现在年轻人群中(年龄结论):在肺癌流行病学研究中,sIR 可以作为个人氡暴露量的替代指标。对于个体氡辐照量而言,通常假定的线性、无阈剂量-反应关系对于 sIR 值小于 200 Bq/m3 的情况可能并不理想。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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