{"title":"HbA1C水平与乳腺癌的关系","authors":"Fariba Jousheghany , Joshua Phelps , Tina Crook , Reza Hakkak","doi":"10.1016/j.bbacli.2016.04.005","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Diabetes and cancer are public health issues worldwide; studies have shown that diabetes is related to increased breast cancer mortality. The purpose of this study was to examine associations between HbA1C and obesity with tumor stage and mortality among breast cancer patients.</p></div><div><h3>Methods</h3><p>Data for 82 patients with breast cancer (36–89<!--> <!-->years of age, diagnosed /treated 1999–2009) were provided by the University of Arkansas for Medical Sciences (UAMS) Data Trust Warehouse. Survival time was estimated from start date of service to date of last follow-up or date of death. The Kaplan–Meier method provided analysis of survival curves for two groups of HbA1C (HbA1C<!--> <!--><<!--> <!-->6.5% vs HbA1C<!--> <!-->≥<!--> <!-->6.5%) and two groups of BMI (BMI<!--> <!--><<!--> <!-->30 vs BMI<!--> <!-->≥<!--> <!-->30<!--> <!-->kg/m2); survival curves were compared using log-rank tests. Associations between HbA1C and BMI, and between HbA1C and tumor stage were determined by chi-square.</p></div><div><h3>Results</h3><p>The relationship between tumor stages and HbA1C was not statistically significant (X<sup>2</sup> <!-->=<!--> <!-->0.093, p<!--> <!-->=<!--> <!-->0.47, df<!--> <!-->=<!--> <!-->1). The relationship between obesity and HbA1C was statistically significant (X<sup>2</sup> <!-->=<!--> <!-->6.13, p<!--> <!-->=<!--> <!-->0.013, df<!--> <!-->=<!--> <!-->1). Log-rank tests did not show statistically significant differences between survival curves (HbA1C curves, p<!--> <!-->=<!--> <!-->0.4; Obesity curves, p<!--> <!-->=<!--> <!-->0.09).</p></div><div><h3>Conclusion</h3><p>While there was a statistically significant association between HbA1C and obesity, there were no significant associations found with this analysis. However, there are clinically meaningful relationships based on observed trends. Future directions for research may involve exploring a larger sample of patients and the role of therapeutic regimens on blood sugar control and BMI of breast cancer patients and influence on cancer prognosis.</p></div>","PeriodicalId":72344,"journal":{"name":"BBA clinical","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bbacli.2016.04.005","citationCount":"10","resultStr":"{\"title\":\"Relationship between level of HbA1C and breast cancer\",\"authors\":\"Fariba Jousheghany , Joshua Phelps , Tina Crook , Reza Hakkak\",\"doi\":\"10.1016/j.bbacli.2016.04.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Diabetes and cancer are public health issues worldwide; studies have shown that diabetes is related to increased breast cancer mortality. The purpose of this study was to examine associations between HbA1C and obesity with tumor stage and mortality among breast cancer patients.</p></div><div><h3>Methods</h3><p>Data for 82 patients with breast cancer (36–89<!--> <!-->years of age, diagnosed /treated 1999–2009) were provided by the University of Arkansas for Medical Sciences (UAMS) Data Trust Warehouse. Survival time was estimated from start date of service to date of last follow-up or date of death. The Kaplan–Meier method provided analysis of survival curves for two groups of HbA1C (HbA1C<!--> <!--><<!--> <!-->6.5% vs HbA1C<!--> <!-->≥<!--> <!-->6.5%) and two groups of BMI (BMI<!--> <!--><<!--> <!-->30 vs BMI<!--> <!-->≥<!--> <!-->30<!--> <!-->kg/m2); survival curves were compared using log-rank tests. Associations between HbA1C and BMI, and between HbA1C and tumor stage were determined by chi-square.</p></div><div><h3>Results</h3><p>The relationship between tumor stages and HbA1C was not statistically significant (X<sup>2</sup> <!-->=<!--> <!-->0.093, p<!--> <!-->=<!--> <!-->0.47, df<!--> <!-->=<!--> <!-->1). The relationship between obesity and HbA1C was statistically significant (X<sup>2</sup> <!-->=<!--> <!-->6.13, p<!--> <!-->=<!--> <!-->0.013, df<!--> <!-->=<!--> <!-->1). Log-rank tests did not show statistically significant differences between survival curves (HbA1C curves, p<!--> <!-->=<!--> <!-->0.4; Obesity curves, p<!--> <!-->=<!--> <!-->0.09).</p></div><div><h3>Conclusion</h3><p>While there was a statistically significant association between HbA1C and obesity, there were no significant associations found with this analysis. However, there are clinically meaningful relationships based on observed trends. Future directions for research may involve exploring a larger sample of patients and the role of therapeutic regimens on blood sugar control and BMI of breast cancer patients and influence on cancer prognosis.</p></div>\",\"PeriodicalId\":72344,\"journal\":{\"name\":\"BBA clinical\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.bbacli.2016.04.005\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BBA clinical\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214647416300198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BBA clinical","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214647416300198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
糖尿病和癌症是世界范围内的公共卫生问题;研究表明,糖尿病与乳腺癌死亡率增加有关。本研究的目的是研究HbA1C和肥胖与乳腺癌患者肿瘤分期和死亡率之间的关系。方法82例乳腺癌患者(36-89岁,1999-2009年诊断/治疗)的数据由阿肯色大学医学科学(UAMS)数据信任仓库提供。从开始服务日期到最后一次随访日期或死亡日期估计生存时间。Kaplan-Meier法分析了两组HbA1C患者的生存曲线(HbA1C <6.5% vs HbA1C≥6.5%)和两组BMI (BMI <30 vs BMI≥30 kg/m2);生存曲线采用对数秩检验进行比较。HbA1C与BMI、HbA1C与肿瘤分期的相关性采用卡方法。结果肿瘤分期与HbA1C的关系无统计学意义(X2 = 0.093, p = 0.47, df = 1),肥胖与HbA1C的关系有统计学意义(X2 = 6.13, p = 0.013, df = 1),生存曲线间Log-rank检验差异无统计学意义(HbA1C曲线,p = 0.4;肥胖曲线,p = 0.09)。结论:虽然HbA1C与肥胖之间存在统计学意义上的相关性,但本分析未发现显著相关性。然而,基于观察到的趋势,有临床意义的关系。未来的研究方向可能包括探索更大的患者样本,以及治疗方案对乳腺癌患者血糖控制和BMI的作用以及对癌症预后的影响。
Relationship between level of HbA1C and breast cancer
Background
Diabetes and cancer are public health issues worldwide; studies have shown that diabetes is related to increased breast cancer mortality. The purpose of this study was to examine associations between HbA1C and obesity with tumor stage and mortality among breast cancer patients.
Methods
Data for 82 patients with breast cancer (36–89 years of age, diagnosed /treated 1999–2009) were provided by the University of Arkansas for Medical Sciences (UAMS) Data Trust Warehouse. Survival time was estimated from start date of service to date of last follow-up or date of death. The Kaplan–Meier method provided analysis of survival curves for two groups of HbA1C (HbA1C < 6.5% vs HbA1C ≥ 6.5%) and two groups of BMI (BMI < 30 vs BMI ≥ 30 kg/m2); survival curves were compared using log-rank tests. Associations between HbA1C and BMI, and between HbA1C and tumor stage were determined by chi-square.
Results
The relationship between tumor stages and HbA1C was not statistically significant (X2 = 0.093, p = 0.47, df = 1). The relationship between obesity and HbA1C was statistically significant (X2 = 6.13, p = 0.013, df = 1). Log-rank tests did not show statistically significant differences between survival curves (HbA1C curves, p = 0.4; Obesity curves, p = 0.09).
Conclusion
While there was a statistically significant association between HbA1C and obesity, there were no significant associations found with this analysis. However, there are clinically meaningful relationships based on observed trends. Future directions for research may involve exploring a larger sample of patients and the role of therapeutic regimens on blood sugar control and BMI of breast cancer patients and influence on cancer prognosis.