Dipartimento di Fisica "Aldo Pontremoli" and CIMaINa, Università degli Studi di Milano, via G. Celoria 16, 20133, Milan, Italy.
Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, via G. Venezian 1, 20133, Milan, Italy.
Sci Rep. 2023 Jul 27;13(1):12175. doi: 10.1038/s41598-023-38763-w.
Peritoneal metastases (PM) are common routes of dissemination for colorectal cancer (CRC) and remain a lethal disease with a poor prognosis. The properties of the extracellular matrix (ECM) are important in cancer development; studying their changes is crucial to understand CRC-PM development. We studied the elastic properties of ECMs derived from human samples of normal and neoplastic PM by atomic force microscopy (AFM); results were correlated with patient clinical data and expression of ECM components related to metastatic spread. We show that PM progression is accompanied by stiffening of the ECM, increased cancer associated fibroblasts (CAF) activity and increased deposition and crosslinking in neoplastic matrices; on the other hand, softer regions are also found in neoplastic ECMs on the same scales. Our results support the hypothesis that local changes in the normal ECM can create the ground for growth and spread from the tumour of invading metastatic cells. We have found correlations between the mechanical properties (relative stiffening between normal and neoplastic ECM) of the ECM and patients' clinical data, like age, sex, presence of protein activating mutations in BRAF and KRAS genes and tumour grade. Our findings suggest that the mechanical phenotyping of PM-ECM has the potential to predict tumour development.
腹膜转移(PM)是结直肠癌(CRC)常见的扩散途径,仍然是一种预后不良的致命疾病。细胞外基质(ECM)的特性在癌症发展中很重要;研究其变化对于理解 CRC-PM 的发展至关重要。我们通过原子力显微镜(AFM)研究了来源于正常和肿瘤性 PM 人样本的 ECM 的弹性特性;结果与患者的临床数据和与转移扩散相关的 ECM 成分的表达相关联。我们表明,PM 的进展伴随着 ECM 的变硬,增加了癌症相关成纤维细胞(CAF)的活性以及肿瘤基质中沉积和交联的增加;另一方面,在相同的尺度上,肿瘤性 ECM 中也存在较软的区域。我们的结果支持这样一种假设,即正常 ECM 中的局部变化可以为肿瘤中侵袭性转移细胞的生长和扩散创造基础。我们已经发现 ECM 的力学特性(正常和肿瘤性 ECM 之间的相对变硬)与患者的临床数据之间存在相关性,如年龄、性别、BRAF 和 KRAS 基因中蛋白激活突变的存在以及肿瘤分级。我们的发现表明,PM-ECM 的力学表型分析有可能预测肿瘤的发展。