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HER2 阳性乳腺癌的血脂谱。

Lipid profiles for HER2-positive breast cancer.

机构信息

National Cancer Center, Goyang, Gyeonggi, Republic of Korea.

出版信息

Anticancer Res. 2013 Jun;33(6):2467-72.

Abstract

BACKGROUND

Accumulating data indicate that human epidermal growth factor receptor-2 (HER2)-positive breast cancer is a heterogeneous disease. We undertook a study to correlate lipid profiles with heterogeneous clinicopathological features of HER2-positive breast cancer.

MATERIALS AND METHODS

Histology-directed matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry (MS) analyses were performed on 22 retrospective frozen tissue samples collected from patients with HER2-positive metastatic breast cancer, in order to correlate lipid profiles with clinicopathological characteristics. Additionally, a pair of tumor and adjacent normal tissue was profiled to identify cancer-associated changes in lipid profiles.

RESULTS

Sphingomyelin 34:1, phosphatidylcholine (PC) 32:0, and PC 34:1, and PC 36:2 were overexpressed in HER2-positive breast cancer compared to adjacent normal tissue (HER2 signature). Lipid MALDI-MS profiles were different between Ki-67-high and Ki-67-low tumors. The proliferation signature (Ki-67-high vs. Ki-67-low) and the HER2 signature (cancer vs. normal) did not significantly overlap with each other.

CONCLUSION

For the first time to our knowledge, this study describes lipid profiles correlated with various clinicopathological characteristics of HER2-positive breast cancer. Lipid profiling might be helpful for the molecular characterization of this disease.

摘要

背景

越来越多的数据表明,人表皮生长因子受体 2(HER2)阳性乳腺癌是一种异质性疾病。我们进行了一项研究,旨在将脂质谱与 HER2 阳性乳腺癌的异质临床病理特征相关联。

材料和方法

对 22 例来自 HER2 阳性转移性乳腺癌患者的回顾性冷冻组织样本进行了组织学导向的基质辅助激光解吸/电离(MALDI)-质谱(MS)分析,以将脂质谱与临床病理特征相关联。此外,对一对肿瘤和相邻正常组织进行了分析,以确定脂质谱中与癌症相关的变化。

结果

与相邻正常组织(HER2 特征)相比,HER2 阳性乳腺癌中鞘磷脂 34:1、磷脂酰胆碱(PC)32:0 和 PC 34:1、PC 36:2 表达上调。Ki-67 高表达和 Ki-67 低表达肿瘤之间的脂质 MALDI-MS 谱不同。增殖特征(Ki-67 高与 Ki-67 低)和 HER2 特征(癌症与正常)之间没有明显重叠。

结论

据我们所知,这项研究首次描述了与 HER2 阳性乳腺癌各种临床病理特征相关的脂质谱。脂质谱分析可能有助于对这种疾病进行分子特征分析。

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