Skorupa Agnieszka, Ciszek Mateusz, Turska-d'Amico Maria, Stobiecka Ewa, Chmielik Ewa, Szumniak Ryszard, d'Amico Andrea, Boguszewicz Łukasz, Sokół Maria
Department of Medical Physics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.
The Oncological and Reconstructive Surgery Clinic, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.
Cancers (Basel). 2023 Feb 17;15(4):1283. doi: 10.3390/cancers15041283.
Breast tumors constitute the complex entities composed of cancer cells and stromal components. The compositional heterogeneity should be taken into account in bulk tissue metabolomics studies. The aim of this work was to find the relation between the histological content and H HR-MAS (high-resolution magic angle spinning nuclear magnetic resonance) metabolic profiles of the tissue samples excised from the breast tumors and the peritumoral areas in 39 patients diagnosed with invasive breast carcinoma. The total number of the histologically verified specimens was 140. The classification accuracy of the OPLS-DA (Orthogonal Partial Least Squares Discriminant Analysis) model differentiating the cancerous from non-involved samples was 87% (sensitivity of 72.2%, specificity of 92.3%). The metabolic contents of the epithelial and stromal compartments were determined from a linear regression analysis of the levels of the evaluated compounds against the cancer cell fraction in 39 samples composed mainly of cancer cells and intratumoral fibrosis. The correlation coefficients between the levels of several metabolites and a tumor purity were found to be dependent on the tumor grade (I vs II/III). The comparison of the levels of the metabolites in the intratumoral fibrosis (obtained from the extrapolation of the regression lines to 0% cancer content) to those levels in the fibrous connective tissue beyond the tumors revealed a profound metabolic reprogramming in the former tissue. The joint analysis of the metabolic profiles of the stromal and epithelial compartments in the breast tumors contributes to the increased understanding of breast cancer biology.
乳腺肿瘤是由癌细胞和基质成分组成的复杂实体。在大块组织代谢组学研究中应考虑其成分异质性。本研究旨在探寻39例浸润性乳腺癌患者切除的乳腺肿瘤及瘤周组织样本的组织学成分与高分辨魔角旋转核磁共振(H HR-MAS)代谢谱之间的关系。经组织学验证的标本总数为140个。区分癌组织与非癌组织样本的正交偏最小二乘判别分析(OPLS-DA)模型的分类准确率为87%(敏感性为72.2%,特异性为92.3%)。通过对39个主要由癌细胞和瘤内纤维化组成的样本中评估化合物水平与癌细胞比例进行线性回归分析,确定上皮和基质成分的代谢含量。发现几种代谢物水平与肿瘤纯度之间的相关系数取决于肿瘤分级(I级与II/III级)。将瘤内纤维化中代谢物水平(通过将回归线外推至0%癌含量获得)与肿瘤外纤维结缔组织中的代谢物水平进行比较,发现前者组织存在深刻的代谢重编程。对乳腺肿瘤中基质和上皮成分的代谢谱进行联合分析,有助于加深对乳腺癌生物学的理解。