Carla Luís, Rute Fernandes, João Dias, Deolinda Pereira, João Firmino-Machado, Pilar Baylina, Rúben Fernandes, Raquel Soares
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A chi-square test of independence was applied for BMI stratification. Cox regression was performed for overall survival. Statistical significance was set at p-value < 0.05.</p><p><strong>Results: </strong>Distribution of BBC clinicopathological features was found to be statistically significant in family history (p-value < 0.001), BBC type (p-value < 0.001), stage (p-value = 0.005), differentiation grade (p-value < 0.001), receptor expression (p-value < 0.001) and histological type (p-value = 0.031). In comparison to the statistical expected results, we observed an increased cases of absence of family history and less cases of metachronous BBC. Histological types between tumours of BBC were mostly concordant. All cases presented concordant receptor expression. Analysis stratified by BMI revealed that obese women were diagnosed later, although without statistical significance. All obese women presented poor differentiation grade (n = 6). Overweight patients display a tendency to a better overall survival with lower tumour stages and lower differentiation grades.</p><p><strong>Conclusions: </strong>Our results reveal the same receptor expression between contralateral tumours. Also, most tumours share the same histological type. 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引用次数: 0
摘要
背景:乳腺癌(BC)和肥胖症是两种密切相关的病症,其发病率和死亡率都在不断上升。双侧乳腺癌(BBC)在 BC 中发病率较低,而肥胖则是其主要风险因素:本研究旨在分析双侧乳腺癌的临床病理特征分布,并确定肥胖对双侧乳腺癌的相同特征和总体生存率的潜在影响:方法:从波尔图国际肿瘤研究所确诊的42例女性BBC患者中获取临床病理学信息。为了评估临床病理数据的频率分布,对 BBC 病例进行了卡方拟合度检验。对体重指数分层进行了卡方独立性检验。对总生存率进行了 Cox 回归。统计学意义以P值<0.05为标准:发现BBC临床病理特征的分布在家族史(P值<0.001)、BBC类型(P值<0.001)、分期(P值=0.005)、分化等级(P值<0.001)、受体表达(P值<0.001)和组织学类型(P值=0.031)方面具有统计学意义。与预期的统计结果相比,我们发现无家族史的病例增多,而近亲BBC的病例减少。BBC肿瘤的组织学类型大多一致。所有病例的受体表达均一致。根据体重指数进行的分层分析表明,肥胖女性确诊时间较晚,但无统计学意义。所有肥胖女性的分化等级都较低(n = 6)。超重患者的总体生存率较高,肿瘤分期和分化等级较低:我们的研究结果显示,对侧肿瘤的受体表达相同。此外,大多数肿瘤具有相同的组织学类型。根据体重指数进行分层后,我们发现超重女性的总生存率有提高的趋势。
Bilateral breast cancer and the influence of body mass index in clinicopathological features and overall survival.
Background: Breast cancer (BC) and obesity are two closely associated pathologies with increasing incidence and mortality rates. Bilateral Breast Cancer (BBC) displays a low incidence rate within BC and obesity represents a major risk factor.
Objective: The aim of this study is to analyzed BBC clinicopathological features distribution and determine the potential influence of obesity in BBC in these same features and overall survival.
Methods: Clinicopathological information was obtained from 42 cases of women with BBC diagnosed in IPO-Porto. To evaluate the frequency distribution of the clinicopathological data, a chi-square goodness of fit test was performed for BBC cases. A chi-square test of independence was applied for BMI stratification. Cox regression was performed for overall survival. Statistical significance was set at p-value < 0.05.
Results: Distribution of BBC clinicopathological features was found to be statistically significant in family history (p-value < 0.001), BBC type (p-value < 0.001), stage (p-value = 0.005), differentiation grade (p-value < 0.001), receptor expression (p-value < 0.001) and histological type (p-value = 0.031). In comparison to the statistical expected results, we observed an increased cases of absence of family history and less cases of metachronous BBC. Histological types between tumours of BBC were mostly concordant. All cases presented concordant receptor expression. Analysis stratified by BMI revealed that obese women were diagnosed later, although without statistical significance. All obese women presented poor differentiation grade (n = 6). Overweight patients display a tendency to a better overall survival with lower tumour stages and lower differentiation grades.
Conclusions: Our results reveal the same receptor expression between contralateral tumours. Also, most tumours share the same histological type. When stratified by BMI, we observed a tendency for overweight women to have improved overall survival.
期刊介绍:
The recent expansion of work in the field of breast cancer inevitably will hasten discoveries that will have impact on patient outcome. The breadth of this research that spans basic science, clinical medicine, epidemiology, and public policy poses difficulties for investigators. Not only is it necessary to be facile in comprehending ideas from many disciplines, but also important to understand the public implications of these discoveries. Breast Disease publishes review issues devoted to an in-depth analysis of the scientific and public implications of recent research on a specific problem in breast cancer. Thus, the reviews will not only discuss recent discoveries but will also reflect on their impact in breast cancer research or clinical management.