Department of VIP Region, Cancer Center of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Sci Rep. 2023 Nov 21;13(1):20368. doi: 10.1038/s41598-023-47739-9.
Immunotherapy has dramatically changed the landscape of treatment for colorectal cancer (CRC), but currently lack of effective predictive biomarker, especially for tumors with mismatch repair (MMR) proficiency. The response of immunotherapy is associated with the cell-cell interactions in tumor microenvironment, encompassing processes such as cell-cell recognition, binding, and adhesion. However, the function of immunoglobulin superfamily (IGSF) genes in tumor immune microenvironment remains uncharacterized. This study quantified the immune landscape by leveraging a gene expression matrix from publicly accessible databases. The associations between IGSF6 gene expression and immune cell infiltration were assessed. The expression levels of IGSF6, CD8+ T cells, CD4+ T cells and CD68+ macrophage cells in cancer tissues from CRC patients and CRC cell lines were evaluated. IGSF6 was more highly expressed in CRC tumor tissues than adjacent normal tissues. And IGSF6 was significantly correlated with immune cell infiltration in MMR-proficient patients. Remarkably, MMR-proficient patients with high IGSF6 expression showed more sensitive to immunotherapy and chemotherapy than those with low IGSF6 expression. In summary, IGSF6 could be a novel biomarker to evaluate immune infiltration and predict therapeutic effect for MMR-proficient CRC.
免疫疗法极大地改变了结直肠癌(CRC)的治疗格局,但目前缺乏有效的预测生物标志物,特别是对于错配修复(MMR)功能正常的肿瘤。免疫疗法的反应与肿瘤微环境中的细胞-细胞相互作用有关,包括细胞-细胞识别、结合和黏附等过程。然而,免疫球蛋白超家族(IGSF)基因在肿瘤免疫微环境中的功能仍未被描述。本研究通过利用公共数据库中的基因表达矩阵来量化免疫图谱。评估了 IGSF6 基因表达与免疫细胞浸润之间的关联。评估了 CRC 患者和 CRC 细胞系中癌症组织中 IGSF6、CD8+T 细胞、CD4+T 细胞和 CD68+巨噬细胞的表达水平。IGSF6 在 CRC 肿瘤组织中的表达高于相邻正常组织。并且 IGSF6 与 MMR 功能正常患者的免疫细胞浸润显著相关。值得注意的是,高 IGSF6 表达的 MMR 功能正常患者对免疫治疗和化疗的敏感性高于低 IGSF6 表达的患者。总之,IGSF6 可能是评估 MMR 功能正常 CRC 免疫浸润和预测治疗效果的新型生物标志物。