乳腺密度与年龄、乳腺癌分子分型的相关性分析

Correlation between breast density and age, breast cancer molecular subtype

目的 探讨乳腺癌患者乳腺密度与年龄、乳腺癌分子分型的相关性。 方法 回顾分析天津医科大学肿瘤医院2015年8月至2016年8月经病理确诊的1 407例乳腺癌免疫组化和术前乳腺X线摄影检查资料。将所有病例分为<45、45-54、55-64及≥65岁四组,并依据免疫组化结果将各年龄组划分为Luminal A型、Luminal B型、HER2过表达型及三阴型4种分子亚型。采用Person相关性检验分析乳腺密度与年龄的相关性,采用Kruskal-Wallis检验分析不同分子亚型间乳腺密度的差异。 结果 乳腺密度与年龄呈负相关(r=-0.55,P<0.01)。<45、45-54、55-64及≥65岁组的乳腺密度平均值分别为20.0%±7.3%、16.2%±8.4%、10.5%±5.2%及7.9%±3.2%。Luminal A型、Luminal B型、HER2过表达型及三阴型的乳腺密度平均值分别为14.0%±8.1%、14.5%±7.6%、14.8%±7.7%及13.2%±7.3%。Kruskal-Wallis检验分析显示仅<45岁组各分子亚型间的乳腺密度差异有统计学意义(P<0.05),其余年龄组中差异均无统计学意义(均P>0.05)。 结论 年轻患者的乳腺密度与乳腺癌分子分型间具有一定的相关性,但乳腺密度对其是否具有潜在评估作用仍需进一步探究。

Objective To explore the correlation between breast density and breast cancer molecular subtype. Methods The data of 1 407 cases of breast cancer immunohistochemistry and preoperative mammography in Tianjin Medical University Cancer Institute and Hospital from August 2015 to August 2016 were retrospectively analyzed. All cases were divided into four groups: <45 years old, 45-54 years old, 55-64 years old and ≥ 65 years old, and all groups were divided into four molecular subtypes: Luminal A, Luminal B, HER2-enriched and triple-negative according to immunohistochemical results. Person correlation test was used to analyze the correlation between breast density and age;Kruskal-Wallis test was used to analyze the difference in breast density between different molecular subtypes. Results There was a negative correlation between breast density and age (r=-0.55, P<0.01). Descriptive analysis results showed that the mean breast density of<45 years old, 45-54 years old, 55-64 years old and ≥65 years old was 20.0%±7.3%, 16.2%±8.4%, 10.5%±5.2%, and 7.9%±3.2%, respectively. The mean breast density of Luminal A, Luminal B, HER2-enriched and triple-negative was 14.0%±8.1%, 14.5%±7.6%, 14.8%±7.7% and 13.2%±7.3%, respectively. Kruskal-Wallis test showed significant statistical differences in breast density among molecular subtypes in the group of<45 years old (P<0.05), while no statistical significance in other groups (all P>0.05). Conclusion There is correlation between breast density and breast cancer molecular subtype in young patients, but whether breast density has a potential evaluation effect on breast cancer molecular subtype still needs to be further studied.