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云南省癌死亡率与土壤环境中化学元素的关系 总被引：3，自引：0，他引：3
癌病严重危害人类生命。研究表明：土壤环境中微量元素与肿病发生发展以及治疗相关，个别地区的地方病与元素含量关系密切。对土壤中元素含量研究证实：云南癌死亡率低于全国平均水平。文章详细讨论云南9种频发、52种常见癌症与元素的关系。 相似文献
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《国际泥沙研究》2020,35(5):516-526
Heavy metal (HM) pollution in sediment is a serious concern particularly in developing nations, warranting an extensive survey to understand the current situation and propose possible remedial measures. This paper compiles the data of HMs cadmium (Cd), iron (Fe), cobalt (Co), manganese (Mn), arsenic (As), lead (Pb), chromium (Cr), copper (Cu), zinc (Zn) and nickel (Ni) in aquatic sediment from India from 1979 to 2017. It was found that mean values of Cu, Co, Zn, Pb, As, and Cr in Indian sediment were high in comparison to the Australian Interim Sediment Quality Guidelines, World Surface Rock Average, and the Threshold Effect Level for freshwater ecosystems. Anthropogenic activities, lithogenic factors, and sand intrusion are the main factors associated with HM pollution as observed using cluster analysis and principal component analysis. The results of contamination indices indicate that HM contamination ranged from average to high, in the sediment. The ecological risk assessment results showed that 11% HMs present very high risk. The cancer risk, due to the high contents of Cd, As, and Cr the ingestion pathway, showed high risk of cancer through food/water contaminated with sediment. At source reduction of HMs in industrial effluents by effluent treatment plants, and plantation of phytoremediating rooted macrophytes in sediment may help in HM mitigation of the sediment. 相似文献
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为了改进肿瘤的微波热疗,我们进行９１５ＭＨｚ微波亚铁磁共振的实验研究。结果表明９１５ＭＨｚ微波象２４５０ＭＨｚ一样,有明显而尖锐的亚铁共振升温。实验测量了不同聚集状态,不同饱和磁化强度亚铁磁共振介质的共振升温并用鸡蛋清受热固化来显示共振升温度分布的影响。 相似文献
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中国土壤环境中Th元素与癌症的关系 总被引：1，自引：0，他引：1
利用土壤环境中钍元素７６７个数据,癌死亡调查资料７８７０８０例,研究了胃癌、食管癌、肝癌、宫颈癌、肺癌、大肠癌、白血病、鼻咽癌、乳腺癌死亡率与人群生存区土壤环境中钍元素的关系。结果表明,胃癌、食管癌、宫颈癌、肺癌、鼻咽癌死亡率与钍元素有相关性,等级相关系数分别为－０．３８５７,－０．３２５６,－０．４５４２,－０．３８２８,０．６１５３。 相似文献
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P. Goovaerts 《Mathematical Geosciences》2009,41(3):243-264
The analysis of health data and putative covariates, such as environmental, socio-economic, behavioral or demographic factors,
is a promising application for geostatistics. However, it presents several methodological challenges that arise from the fact
that data is typically aggregated over irregular spatial supports and consists of a numerator and a denominator (e.g., population
size). This paper presents an overview of recent developments in the field of health geostatistics, with an emphasis on three
main steps in the analysis of areal health data: (1) estimation of the underlying disease risk, (2) detection of areas with
significantly higher risk, and (3) analysis of relationships with putative risk factors. The analysis is illustrated by using
age-adjusted cervix cancer mortality rates recorded from 1970 to 1994 of 118 counties in four Western USA states. Poisson
kriging allows the filtering of noisy mortality rates computed from small population sizes, enhancing the correlation with
two putative explanatory variables: percentage of habitants living below the federally defined poverty line, and percentage
of Hispanic females. Area-to-point kriging formulation creates continuous maps of mortality risk, reducing the visual bias
associated with the interpretation of choropleth maps. Stochastic simulation is used to generate realizations of cancer mortality
maps, which allows one to quantify how uncertainty of the spatial distribution of health outcomes translates into uncertainty
of the location of clusters of high values or the correlation with covariates. Finally, geographically-weighted regression
highlights the non-stationarity in the explanatory power of covariates; the higher mortality values along the coast are better
explained by the two covariates than the lower risk recorded in Utah. 相似文献
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Analyzing temporal trends in health outcomes can provide a more comprehensive picture of the burden of a disease like cancer and generate new insights about the impact of various interventions. In the United States such an analysis is increasingly conducted using joinpoint regression outside a spatial framework, which overlooks the existence of significant variation among U.S. counties and states with regard to the incidence of cancer. This paper presents several innovative ways to account for space in joinpoint regression: (1) prior filtering of noise in the data by binomial kriging and use of the kriging variance as measure of reliability in weighted least-square regression, (2) detection of significant boundaries between adjacent counties based on tests of parallelism of time trends and confidence intervals of annual percent change of rates, and (3) creation of spatially compact groups of counties with similar temporal trends through the application of hierarchical cluster analysis to the results of boundary analysis. The approach is illustrated using time series of proportions of prostate cancer late-stage cases diagnosed yearly in every county of Florida since 1980s. The annual percent change (APC) in late-stage diagnosis and the onset years for significant declines vary greatly across Florida. Most counties with non-significant average APC are located in the north-western part of Florida, known as the Panhandle, which is more rural than other parts of Florida. The number of significant boundaries peaked in the early 1990s when prostate-specific antigen (PSA) test became widely available, a temporal trend that suggests the existence of geographical disparities in the implementation and/or impact of the new screening procedure, in particular as it began available. 相似文献
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The activities of 210Po and 210Pb were determined in commonly consumed seafoods to evaluate the internal exposure and risk to humans residing Kudankulam coast where a mega nuclear power plant is under construction. The concentration of 210Po in seafoods ranged from 1.2 ± 0.7 to 248 ± 8.1 Bq kg−1. Meanwhile, 210Pb ranged between 1.1 ± 0.05 and 14.8 ± 1.6 Bq kg−1. The committed effective dose (CED) due to 210Po and 210Pb varied from 11.04 to 515.6 and 3.93 to 23.5 μSv yr−1, respectively. The lifetime cancer risk for the public due to 210Po was in the range of 3.47 × 10−5-1.62 × 10−3 and it was 4.03 × 10−5-1.96 × 10−4 due to 210Pb. The activity intake, effective dose and cancer risk was found lesser than international guidelines and the seafood intake was considered to be safe for human consumption. 相似文献
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李兆新 《中国海洋湖沼学报》2009,27(3):468-472
We investigated the metabolism of pectenotoxins in brown crabs(Cancer pagurus).The crabs were fed with blue mussels(Mytilus edulis) for 21 d then depurated for 42 d.We extracted the toxins from the digestive glands of contaminated crabs,uncontaminated crabs(control group),and the meat of blue mussels using methanol.Extracts of the crab digestive glands were fractionated by liquid-liquid partitioning and solid phase extraction.The fractions were analyzed by liquid chromatography coupled with tandem mass spec... 相似文献
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癌细胞与正常的人体细胞不同。根据体细胞突变理论（SMT）,癌细胞是基因突变的结果。该理论还采用达尔文主义的基本原理,假设癌细胞生长是自然选择下“适者生存”的结果。与此相反,我们采用Margulis的演化理论来解释癌症的起源,并提出癌细胞由遗传而来：癌基因组起源于寄生在原核生物宿主中的细菌;在大约20亿年前的“氧气革命”期间,癌基因组与原核生物基因组因内共生作用而融合;后来宿主演化成为真核生物（原生生物、真菌、植物和动物）,每种真核生物都具有其独特的基因组;经过同样的时间间隔,原寄生细菌基因组则演化成为真核生物内的癌干细胞基因组。当前SMT假设人类基因组的突变导致癌症,但该理论无法识别编码肿瘤生长的基因组序列,也无法解释：突变为何会造成癌细胞失控性生长及复制？癌症为何是一种代谢性疾病？癌症死亡率为何与亚硝酸盐污染有关？中国用不含亚硝酸盐的公共供水源的试验为何竟可以拯救许多癌症患者的生命？SMT没能充分回答许多“神秘”的癌症问题。相反,我们提出的生物演化理论可以回答这些相关事实,包括那些SMT不能充分解释的问题。我们的理论根据是：癌基因组图谱（TCGA）的科学家未能在正常的人类基因组序列中发现突变或未突变的癌基因组。是癌基因组编码了癌细胞的生长及复制和一种不同的代谢模式。我们的理论假设,癌症起源于“休眠中”的癌干细胞因为受亚硝酸盐的影响而被激活,其中一个癌基因组编码了厌氧或缺氧的代谢模式,为癌细胞的生长及复制提供能量和生物量,其他基因组则编码了癌细胞的失控性生长及复制和其他癌症特征。亚硝酸盐以10-9 级别的浓度干扰人体正常的代谢和复制等机能。事实说明,亚硝酸盐可被定义为一种毒药。识别慢性中毒的困难可以用孟加拉国公共供水造成的砷中毒作为例证。癌症应被视为由亚硝酸盐中毒引起的疾病来进行治疗是一个假说,它可以解释为什么当中国部分地区的正常公共供水改用标准化深井水（SDWW）时,癌症死亡率可以减半。这个假说需要另一个假设来解释亚硝酸盐中毒并不影响所有饮用公共供水的人,而只影响其中一部分人。我们必须假设癌症的产生是由于干细胞,其中包括一个癌干细胞,被召唤去以修复细胞的损伤。将这些打破常规的假说放在一起,很多专家认为我们的生物演化理论是天方夜谭而不予理会。实际上,这个假说已由中国过去的SDWW实验所证实。一些医院的试验也证实,若癌症晚期患者每天饮用不含亚硝酸盐的水,癌症可以被治愈。我们对癌症晚期不可治愈这一论断提出质疑,并假定癌症是慢性亚硝酸盐中毒所致。我们呼吁其他科学家进行实验和临床试验来验证这一假说,使至少一半的晚期癌症患者,当他们的饮用水供应源不含亚硝酸盐时,可以被治愈。与此同时,我们应该将过去半个世纪以来献身医学的科学家们的成果,整合为一个“新的体系”。 相似文献