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缅因州肺癌组织病理学的时空分布。

Spatial and temporal distributions of lung cancer histopathology in the state of Maine.

机构信息

Division of Epidemiology, Albert Einstein College of Medicine, Bronx, NY, United States.

出版信息

Lung Cancer. 2013 Oct;82(1):55-62. doi: 10.1016/j.lungcan.2013.06.018. Epub 2013 Jul 30.

DOI:10.1016/j.lungcan.2013.06.018
PMID:23910905
Abstract

Maine has among the highest rates of lung cancer in the United States (US). Maine serves as a geographical representation of US rural communities, and their associated health disparities. As the key risks of tobacco use decrease and radon abatement increases, previously obscured environmental exposures may measurably contribute to the attributable risk fraction of lung cancer. To generate hypotheses of novel environmental exposures associated with lung cancer, we investigated if there was non-random spatial distribution of lung cancer in Maine. Case data (n = 14,038) between 1995 and 2006 were obtained from the Maine Cancer Registry. Population data were obtained from the 2000 US Census. We assessed the spatial distribution of lung cancers among white cases by histopathology subtype [non-small cell lung carcinoma (NSCLC): adenocarcinoma (n = 3680), squamous cell (n = 2801) and large cell (n = 1195); and small cell lung carcinoma (SCLC) (n = 1994)], using spatial scan statistic, assuming a discrete Poisson distribution adjusted for age and population density. Because of time-dependent trends in lung cancer differential diagnostic criteria, we repeated our analyses, limiting it to 2002-2006. While SCLC rates were equivalent across the state, we identified discrete regions with elevated rates of adenocarcinoma among females and squamous cell carcinoma among males. Independent of gender, the most striking geospatial observation was elevated large cell lung cancer specifically in one of the poorest counties in the US. A selective spatial distribution of large cell lung cancer has not been previously reported. More research is needed to identify factors inducing large cell carcinoma pathology, and to determine if in rural communities health disparities are associated with increased risk for this diagnosis.

摘要

缅因州是美国(美国)肺癌发病率最高的州之一。缅因州是美国农村社区及其相关健康差异的地理代表。随着烟草使用的主要风险降低和氡衰减增加,以前被掩盖的环境暴露可能会对肺癌归因风险分数产生可衡量的影响。为了生成与肺癌相关的新环境暴露假设,我们调查了缅因州肺癌是否存在非随机的空间分布。1995 年至 2006 年间从缅因州癌症登记处获得病例数据(n = 14038)。人口数据来自 2000 年美国人口普查。我们根据组织病理学亚型(非小细胞肺癌(NSCLC):腺癌(n = 3680),鳞状细胞癌(n = 2801)和大细胞癌(n = 1195);和小细胞肺癌(SCLC)(n = 1994))评估了白人病例的肺癌空间分布,使用空间扫描统计,假设离散泊松分布调整年龄和人口密度。由于肺癌鉴别诊断标准的时间依赖性趋势,我们重复了我们的分析,将其限制在 2002-2006 年。虽然 SCLC 率在全州范围内相等,但我们确定了女性腺癌和男性鳞状细胞癌发病率升高的离散区域。无论性别如何,最引人注目的地理空间观察结果是美国最贫穷的一个县中特定的大细胞肺癌发病率升高。以前没有报道过大细胞肺癌的选择性空间分布。需要进行更多的研究来确定诱导大细胞癌病理的因素,并确定在农村社区中,健康差异是否与这种诊断的风险增加有关。

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