National Institute of Traditional Chinese Medicine (TCM) Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China.
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Front Immunol. 2024 Jul 8;15:1375013. doi: 10.3389/fimmu.2024.1375013. eCollection 2024.
Immunotherapy is critical for treating many cancers, and its therapeutic success is linked to the tumor microenvironment. Although anti-angiogenic drugs are used to treat gastric cancer (GC), their efficacy remains limited. Cancer-associated fibroblast (CAF)-targeted therapies complement immunotherapy; however, the lack of CAF-specific markers poses a challenge. Therefore, we developed a CAF angiogenesis prognostic score (CAPS) system to evaluate prognosis and immunotherapy response in patients with GC, aiming to improve patient stratification and treatment efficacy.
We assessed patient-derived GC CAFs for promoting angiogenesis using EdU, cell cycle, apoptosis, wound healing, and angiogenesis analysis.
We then identified CAF-angiogenesis-associated differentially-expressed genes, leading to the development of CAPS, which included THBS1, SPARC, EDNRA, and VCAN. We used RT-qPCR to conduct gene-level validation, and eight GEO datasets and the HPA database to validate the CAPS system at the gene and protein levels. Six independent GEO datasets were utilized for validation. Overall survival time was shorter in the high- than the low-CAPS group. Immune microenvironment and immunotherapy response analysis showed that the high-CAPS group had a greater tendency toward immune escape and reduced immunotherapy efficacy than the low-CAPS group.
CAPS is closely associated with GC prognosis and immunotherapy outcomes. It is therefore an independent predictor of GC prognosis and immunotherapy efficacy.
免疫疗法对治疗许多癌症至关重要,其治疗效果与肿瘤微环境有关。虽然抗血管生成药物被用于治疗胃癌(GC),但其疗效仍然有限。肿瘤相关成纤维细胞(CAF)靶向治疗与免疫治疗相辅相成;然而,缺乏 CAF 特异性标志物是一个挑战。因此,我们开发了 CAF 血管生成预后评分(CAPS)系统,以评估 GC 患者的预后和免疫治疗反应,旨在改善患者分层和治疗效果。
我们使用 EdU、细胞周期、凋亡、划痕愈合和血管生成分析评估了患者来源的 GC CAF 促进血管生成的能力。
然后,我们确定了与 CAF 血管生成相关的差异表达基因,从而开发了 CAPS,其中包括 THBS1、SPARC、EDNRA 和 VCAN。我们使用 RT-qPCR 进行基因水平验证,并在 8 个 GEO 数据集和 HPA 数据库中验证了 CAPS 系统在基因和蛋白水平上的有效性。使用六个独立的 GEO 数据集进行验证。高 CAPS 组的总生存时间短于低 CAPS 组。免疫微环境和免疫治疗反应分析表明,高 CAPS 组比低 CAPS 组更倾向于免疫逃逸和降低免疫治疗效果。
CAPS 与 GC 预后和免疫治疗结果密切相关。因此,它是 GC 预后和免疫治疗效果的独立预测因子。