Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Immunol. 2024 May 7;15:1397541. doi: 10.3389/fimmu.2024.1397541. eCollection 2024.
Despite the significant therapeutic outcomes achieved in systemic treatments for liver hepatocellular carcinoma (LIHC), it is an objective reality that only a low proportion of patients exhibit an improved objective response rate (ORR) to current immunotherapies. Antibody-dependent cellular phagocytosis (ADCP) immunotherapy is considered the new engine for precision immunotherapy. Based on this, we aim to develop an ADCP-based LIHC risk stratification system and screen for relevant targets.
Utilizing a combination of single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data, we screened for ADCP modulating factors in LIHC and identified differentially expressed genes along with their involved functional pathways. A risk scoring model was established by identifying ADCP-related genes with prognostic value through LASSO Cox regression analysis. The risk scoring model was then subjected to evaluations of immune infiltration and immunotherapy relevance, with pan-cancer analysis and experimental studies conducted on key targets.
Building on the research by Kamber RA et al., we identified GYPA, CLDN18, and IRX5 as potential key target genes regulating ADCP in LIHC. These genes demonstrated significant correlations with immune infiltration cells, such as M1-type macrophages, and the effectiveness of immunotherapy in LIHC, as well as a close association with clinical pathological staging and patient prognosis. Pan-cancer analysis revealed that CLDN18 was prognostically and immunologically relevant across multiple types of cancer. Validation through tissue and cell samples confirmed that GYPA and CLDN18 were upregulated in liver cancer tissues and cells. Furthermore, knockdown of CLDN18 inhibited the malignancy capabilities of liver cancer cells.
We have identified an ADCP signature in LIHC comprising three genes. Analysis based on a risk scoring model derived from these three genes, coupled with subsequent experimental validation, confirmed the pivotal role of M1-type macrophages in ADCP within LIHC, establishing CLDN18 as a critical ADCP regulatory target in LIHC.
尽管在系统性治疗肝细胞癌(LIHC)方面取得了显著的治疗效果,但客观事实是,只有少数患者对当前的免疫疗法表现出改善的客观缓解率(ORR)。抗体依赖的细胞吞噬(ADCP)免疫疗法被认为是精准免疫治疗的新引擎。基于此,我们旨在开发一种基于 ADCP 的 LIHC 风险分层系统并筛选相关靶点。
利用单细胞 RNA 测序(scRNA-seq)和批量 RNA-seq 数据的组合,我们筛选了 LIHC 中的 ADCP 调节因子,并确定了差异表达基因及其涉及的功能途径。通过 LASSO Cox 回归分析确定具有预后价值的 ADCP 相关基因,建立风险评分模型。然后通过对免疫浸润和免疫治疗相关性进行评估,对风险评分模型进行评估,对关键靶点进行泛癌分析和实验研究。
在 Kamber RA 等人的研究基础上,我们确定了 GYPA、CLDN18 和 IRX5 作为潜在的关键靶基因,调节 LIHC 中的 ADCP。这些基因与免疫浸润细胞(如 M1 型巨噬细胞)以及 LIHC 中免疫治疗的有效性显著相关,并且与临床病理分期和患者预后密切相关。泛癌分析显示,CLDN18 在多种癌症中具有预后和免疫相关性。通过组织和细胞样本的验证证实了 GYPA 和 CLDN18 在肝癌组织和细胞中上调。此外,CLDN18 的敲低抑制了肝癌细胞的恶性能力。
我们在 LIHC 中确定了一个包含三个基因的 ADCP 特征。基于这三个基因衍生的风险评分模型的分析,结合随后的实验验证,证实了 M1 型巨噬细胞在 LIHC 中 ADCP 中的关键作用,确立了 CLDN18 作为 LIHC 中关键的 ADCP 调节靶点。