Institute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK.
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.
BMC Cancer. 2022 Mar 17;22(1):285. doi: 10.1186/s12885-022-09362-1.
Response guided treatment in breast cancer is highly desirable, but the effectiveness is only established based on residual cellularity from histopathological analysis after surgery. Tubule formation, a key component of grading score, is directly associated with cellularity, with significant implications on prognosis. Peri-tumoural lipid composition, a potential marker, can be rapidly mapped across the entire breast using novel method of chemical shift-encoded imaging, enabling the quantification of spatial distribution. We hypothesise that peri-tumoural spatial distribution of lipid composition is sensitive to tumour cellular differentiation and proliferative activity.
Twenty whole tumour specimens freshly excised from patients with invasive ductal carcinoma (9 Score 2 and 11 Score 3 in tubule formation) were scanned on a 3 T clinical scanner (Achieva TX, Philips Healthcare). Quantitative lipid composition maps were acquired for polyunsaturated, monounsaturated, and saturated fatty acids (PUFA, MUFA, SFA). The peri-tumoural spatial distribution (mean, skewness, entropy and kurtosis) of each lipid constituent were then computed. The proliferative activity marker Ki-67 and tumour-infiltrating lymphocytes (TILs) were assessed histologically.
For MUFA, there were significant differences between groups in mean (p = 0.0119), skewness (p = 0.0116), entropy (p = 0.0223), kurtosis (p = 0.0381), and correlations against Ki-67 in mean (ρ = -0.5414), skewness (ρ = 0.6045) and entropy (ρ = 0.6677), and TILs in mean (ρ = -0.4621). For SFA, there were significant differences between groups in mean (p = 0.0329) and skewness (p = 0.0111), and correlation against Ki-67 in mean (ρ = 0.5910). For PUFA, there was no significant difference in mean, skewness, entropy or kurtosis between the groups.
There was an association between peri-tumoural spatial distribution of lipid composition with tumour cellular differentiation and proliferation. Peri-tumoural lipid composition imaging might have potential in non-invasive quantitative assessment of patients with breast cancer for treatment planning and monitoring.
在乳腺癌中,基于手术后组织病理学分析的残留细胞活性进行反应指导治疗是非常理想的,但这种方法的有效性仅得到证实。管腔形成是分级评分的关键组成部分,与细胞活性直接相关,对预后有重要影响。肿瘤周围的脂质组成是一种潜在的标志物,可使用化学位移编码成像的新方法快速映射整个乳房,从而实现空间分布的定量。我们假设肿瘤周围脂质组成的空间分布对肿瘤细胞分化和增殖活性敏感。
从浸润性导管癌患者(管腔形成评分 2 分 9 例,3 分 11 例)新切除的 20 个全肿瘤标本在 3T 临床扫描仪(Achieva TX,飞利浦医疗保健)上进行扫描。获取多不饱和、单不饱和和饱和脂肪酸(PUFA、MUFA、SFA)的定量脂质组成图。然后计算每个脂质成分的肿瘤周围空间分布(平均值、偏度、熵和峰度)。Ki-67 增殖活性标记物和肿瘤浸润淋巴细胞(TILs)进行组织学评估。
对于 MUFA,组间在平均值(p=0.0119)、偏度(p=0.0116)、熵(p=0.0223)、峰度(p=0.0381)上有显著差异,与 Ki-67 的平均值(ρ=-0.5414)、偏度(ρ=0.6045)和熵(ρ=0.6677)呈正相关,与 TILs 的平均值(ρ=-0.4621)呈正相关。对于 SFA,组间在平均值(p=0.0329)和偏度(p=0.0111)上有显著差异,与 Ki-67 的平均值(ρ=0.5910)呈正相关。对于 PUFA,组间在平均值、偏度、熵或峰度上没有显著差异。
肿瘤周围脂质组成的空间分布与肿瘤细胞分化和增殖有关。肿瘤周围脂质组成成像可能具有在不进行侵入性的情况下对乳腺癌患者进行定量评估的潜力,以用于治疗计划和监测。