Gao Huan, Tian Qi, Zhu Lizhe, Feng Jinteng, Zhou Yan, Yang Jin
Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Front Oncol. 2021 Dec 9;11:764204. doi: 10.3389/fonc.2021.764204. eCollection 2021.
Breast cancer progression has been gradually recognized as a bidirectional interaction between cancer cells and tumor microenvironment including stroma cells, immune cells, and the dynamically altered ECM. However, there still lacks direct experimental evidences about how ECM properties modulate the activities of stroma and immune cells.
The transcriptomic data and corresponding clinical information of breast cancer pawere obtained from TCGA. Patients were divided into ECM-high, ECM-median and ECM-low groups based on ssGSEA scores of C-ECM genes. The prognostic value of ECM was confirmed by univariate/multivariate Cox regression and survival analyses. GO and KEGG analyses were performed between ECM-high and -low groups. Then associations between ECM characteristics and clinical stages were verified by Masson's trichrome and Sirius red/Fast Green staining of clinical breast cancer tissues. To evaluate the effects of ECM on CAF induction and T cell activation, the MRC-5, NIH/3T-3, primary T cells and Jurkat T cells were encapsulated in 3D collagen with different densities and organizations, and the expression levels of CAF biomarkers and secretion levels of IL-2 were assessed.
ECM scores showed broad variation across paracancerous and cancer samples as well as breast cancer molecular subtypes, and patients with different ECM groups showed distinct prognosis. Immunological activity and ECM associated biology processes were identified by GO and KEGG analyses across ECM-high and -low groups. According to MCP-counter algorithm, the infiltration of T cells was significantly lower in the ECM-high group, while CAF abundance was significantly higher. It is furtherly confirmed by clinical samples that collagen density and organization were associate with breast cancer progression. Finally, 3D-cultured fibroblasts and T cells validated that the density and organization of collagen showed significant effects on CAF induction and T cell activation.
Our study revealed a new mechanism of T cell immunosuppression and CAF induction, which could be of central importance for the breast cancer invasion and may constitute novel therapeutic targets to improve breast cancer outcomes.
乳腺癌进展已逐渐被认为是癌细胞与肿瘤微环境(包括基质细胞、免疫细胞和动态变化的细胞外基质(ECM))之间的双向相互作用。然而,关于ECM特性如何调节基质细胞和免疫细胞活性,仍缺乏直接的实验证据。
从癌症基因组图谱(TCGA)获取乳腺癌患者的转录组数据及相应临床信息。根据C-ECM基因的单样本基因集富集分析(ssGSEA)评分,将患者分为ECM高、ECM中、ECM低三组。通过单因素/多因素Cox回归和生存分析确定ECM的预后价值。对ECM高组和低组进行基因本体(GO)和京都基因与基因组百科全书(KEGG)分析。然后,通过对临床乳腺癌组织进行马松三色染色和天狼星红/固绿染色,验证ECM特征与临床分期之间的关联。为评估ECM对癌相关成纤维细胞(CAF)诱导和T细胞活化的影响,将人胚肺成纤维细胞(MRC-5)、小鼠胚胎成纤维细胞(NIH/3T-3)、原代T细胞和人急性T淋巴细胞白血病细胞(Jurkat T细胞)包封在不同密度和结构的三维胶原蛋白中,并评估CAF生物标志物的表达水平和白细胞介素-2(IL-2)的分泌水平。
ECM评分在癌旁和癌组织样本以及乳腺癌分子亚型中存在广泛差异,不同ECM组的患者预后不同。通过对ECM高组和低组进行GO和KEGG分析,确定了免疫活性和与ECM相关的生物学过程。根据MCP-counter算法,ECM高组中T细胞浸润显著降低,而CAF丰度显著升高。临床样本进一步证实胶原蛋白密度和结构与乳腺癌进展相关。最后,三维培养的成纤维细胞和T细胞证实胶原蛋白的密度和结构对CAF诱导和T细胞活化有显著影响。
我们的研究揭示了一种T细胞免疫抑制和CAF诱导的新机制?这可能对乳腺癌侵袭至关重要,并可能构成改善乳腺癌预后的新治疗靶点。