Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive, Shanghai, China.
Front Immunol. 2022 Aug 10;13:968089. doi: 10.3389/fimmu.2022.968089. eCollection 2022.
The tumor microenvironment (TME) plays a crucial role in tumor progression and metastasis. However, the immune phenotypes of colorectal cancer (CRC) and the underlying immune escape mechanism have not been studied sufficiently. A total of 1802 and 619 CRC samples from the microarray and TCGA cohorts were enrolled, respectively. The ssGSEA algorithm and unsupervised clustering were used for TME cell infiltration speculation and immune phenotype recognition in the above cohorts. A total of 447 samples from Zhongshan Hospital were collected for validation. Immunohistochemistry was performed in this cohort to quantify TME cell infiltration. The single-cell RNA-seq (scRNA-seq) data of 252,940 cells from 60 CRC samples was analyzed for further mechanistic exploration. CRC samples can be classified into three distinct immune phenotypes. Subtype 1, the immune-active subtype, was characterized by high infiltration of activated adaptive immune cells. Subtype 2, the immune-desert subtype, featured high tumor purity and low infiltration of immune and stromal cells. Subtype 3, the stroma-rich subtype, had high infiltration of stromal cells. The stroma-rich subtype conferred a significantly worse prognosis. The three subtypes had different immune escape mechanisms. The immune-active subtype has the highest immune checkpoint expression level. In comparison, the immune-desert subtype had the lowest immunogenicity and defective antigen presentation. The stroma-rich subtype lacked activated immune cells. In conclusion, distinct immune phenotypes and immune escape mechanisms may provide inspiration and direction for further research on CRC immunotherapy.
肿瘤微环境(TME)在肿瘤的进展和转移中起着至关重要的作用。然而,结直肠癌(CRC)的免疫表型及其潜在的免疫逃逸机制尚未得到充分研究。共纳入了来自微阵列和 TCGA 队列的 1802 个和 619 个 CRC 样本。使用 ssGSEA 算法和无监督聚类对上述队列中的 TME 细胞浸润进行推测和免疫表型识别。共收集了来自中山医院的 447 个样本进行验证。在该队列中进行免疫组织化学以量化 TME 细胞浸润。对来自 60 个 CRC 样本的 252940 个细胞的单细胞 RNA-seq(scRNA-seq)数据进行了进一步的机制探索分析。CRC 样本可分为三种不同的免疫表型。1 型,免疫活跃型,其特征是活化适应性免疫细胞的高浸润。2 型,免疫荒漠型,其特征是肿瘤纯度高,免疫和基质细胞浸润低。3 型,基质丰富型,基质细胞浸润度高。基质丰富型的预后明显更差。这三种亚型具有不同的免疫逃逸机制。免疫活跃型的免疫检查点表达水平最高。相比之下,免疫荒漠型的免疫原性最低,抗原呈递缺陷。基质丰富型缺乏活化的免疫细胞。总之,不同的免疫表型和免疫逃逸机制可能为 CRC 免疫治疗的进一步研究提供启示和方向。