Clinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Department of Thoracic Surgery, Tianjin Chest Hospital of Tianjin University, Tianjin, China.
Aging (Albany NY). 2023 Jul 11;15(14):6774-6797. doi: 10.18632/aging.204838.
Cancer-associated fibroblasts (CAFs) are an important component of the tumor microenvironment (TME). CAFs can promote tumor occurrence and metastasis by promoting cancer cell proliferation, angiogenesis, extracellular matrix (ECM) remodeling, and drug resistance. Nevertheless, how CAFs are related to Lung adenocarcinoma (LUAD) has not yet been revealed, especially since the CAFs-related prediction model has yet to be established. We combined Single-cell RNA-sequencing (scRNA-seq) and Bulk-RNA data to develop a predictive model of 8 CAFs-associated genes. Our model predicted LUAD prognosis and immunotherapy efficacy. TME, mutation landscape and drug sensitivity differences were also systematically analyzed between the LUAD patients of high- and low-risk. Moreover, the model prognostic performance was validated in four independent validation cohorts in the Gene expression omnibus (GEO) and the IMvigor210 immunotherapy cohort.
癌症相关成纤维细胞（CAFs）是肿瘤微环境（TME）的重要组成部分。CAFs 通过促进癌细胞增殖、血管生成、细胞外基质（ECM）重塑和耐药性来促进肿瘤的发生和转移。然而，CAFs 与肺腺癌（LUAD）的关系尚未被揭示，特别是因为尚未建立 CAFs 相关的预测模型。我们结合单细胞 RNA 测序（scRNA-seq）和批量 RNA 数据，开发了一个预测 8 个 CAFs 相关基因的模型。我们的模型预测 LUAD 的预后和免疫治疗效果。还对高风险和低风险 LUAD 患者之间的 TME、突变景观和药物敏感性差异进行了系统分析。此外，该模型的预后性能在 GEO 中的四个独立验证队列和 IMvigor210 免疫治疗队列中得到了验证。
