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年龄标准化发病率在发现癌症疾病基因关联方面的作用：一种新的流行病学方法的开发，为基因科学家节省资金、时间和精力。

The power of the age standardized incidence rate to discover the gene link between cancer diseases: development of a new epidemiological method to save money, time, and effort for genetic scientists.

作者信息

Alghamdi Ibrahim G, Hussain Issam I, Alghamdi Mohamed S, El-Sheemy Mohammed A

机构信息

School of Life Sciences, University of Lincoln, Lincoln, UK ; College of Medicine, University of Al-Baha, Al-Baha, Saudi Arabia.

School of Life Sciences, University of Lincoln, Lincoln, UK.

出版信息

Onco Targets Ther. 2015 Mar 31;8:677-87. doi: 10.2147/OTT.S75785. eCollection 2015.

DOI:10.2147/OTT.S75785
PMID:25878508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4386787/
Abstract

BACKGROUND

This study provides an incipient epidemiological rule using the concept of direct method of standardization to determine the genetic link between cancer diseases.

METHODS

The overall 8 or 10 years age standardized incidence rate (ASIR) for both cancer diseases, for example (A) and (B) should be calculated for all regions of the country. A line chart should be used to display the overall ASIR trend of both diseases (A and B). Pearson's correlation can be used to determine the strength of the association between the overall ASIRs of both diseases. The overlap or opposite direction of the overall ASIR trend of both diseases (A and B) should be determined and studied for possible associations between cancer diseases.

RESULTS

If the trend of the overall 8 or 10 years ASIR of a disease (A) follows that of disease (B) in all regions of the country, then the genes of patients with both diseases (A and B) will be highly homogeneous, and they should be studied in the region with the highest and lowest overall ASIR for both diseases (A and B). In addition, if there is an opposite direction or overlapping trend for both diseases (A and B) in certain regions of the country or among specific groups of people with the same demographic characteristics, then the genes of patients will be investigated for both diseases to identify the potential gene link between cancer diseases.

CONCLUSION

This study revealed that the overall ASIR trends of female breast cancer, prostate cancer, and ovarian cancer are very similar in all regions of Saudi Arabia and England. Our epidemiological evidence helps to save money, time, and effort for testing the potential gene link between cancer diseases.

摘要

背景

本研究运用直接标准化法的概念提供了一种初步的流行病学规律，以确定癌症疾病之间的遗传联系。

方法

应计算该国所有地区两种癌症疾病（例如（A）和（B））的总体8年或10年年龄标准化发病率（ASIR）。应使用折线图展示两种疾病（A和B）的总体ASIR趋势。可使用Pearson相关性来确定两种疾病总体ASIR之间关联的强度。应确定并研究两种疾病（A和B）总体ASIR趋势的重叠或相反方向，以寻找癌症疾病之间可能的关联。

结果

如果一种疾病（A）的总体8年或10年ASIR趋势在该国所有地区都与疾病（B）的趋势一致，那么两种疾病（A和B）患者的基因将高度同质，应在两种疾病（A和B）总体ASIR最高和最低的地区进行研究。此外，如果在该国某些地区或具有相同人口统计学特征的特定人群中，两种疾病（A和B）存在相反方向或重叠趋势，那么将对两种疾病患者的基因进行研究，以确定癌症疾病之间潜在的基因联系。

结论

本研究表明，沙特阿拉伯和英国所有地区的女性乳腺癌、前列腺癌和卵巢癌的总体ASIR趋势非常相似。我们的流行病学证据有助于节省用于检测癌症疾病之间潜在基因联系的资金、时间和精力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/8025e0c9e607/ott-8-677Fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/d10a5348004b/ott-8-677Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/fac70d93ca8c/ott-8-677Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/1302f749ead5/ott-8-677Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/a4fb40a9a8dc/ott-8-677Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/ff459a2df188/ott-8-677Fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/05293db911df/ott-8-677Fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/2e7fb9a630e9/ott-8-677Fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/8025e0c9e607/ott-8-677Fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/d10a5348004b/ott-8-677Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/fac70d93ca8c/ott-8-677Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/1302f749ead5/ott-8-677Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/a4fb40a9a8dc/ott-8-677Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/ff459a2df188/ott-8-677Fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/05293db911df/ott-8-677Fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/2e7fb9a630e9/ott-8-677Fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70c/4386787/8025e0c9e607/ott-8-677Fig8.jpg

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