Gu Xinpei, Chu Liuxi, Kang Yanlan
Department of Human Anatomy, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China.
Front Genet. 2022 May 18;13:894024. doi: 10.3389/fgene.2022.894024. eCollection 2022.
Non-small-cell lung cancer (NSCLC) is one of the most common malignancies, and specific molecular targets are still lacking. Angiogenesis plays a central regulatory role in the growth and metastasis of malignant tumors and angiogenic factors (AFs) are involved. Although there are many studies comparing AFs and cancer, a prognostic risk model for AFs and cancer in humans has not been reported in the literature. This study aimed to identify the key AFs closely related to the process of NSCLC development, and four genes have been found, C1QTNF6, SLC2A1, PTX3, and FSTL3. Then, we constructed a novel prognostic risk model based on these four genes in non-small-cell lung cancer (NSCLC) and fully analyzed the relationship with clinical features, immune infiltration, genomes, and predictors. This model had good discrimination and calibration and will perform well in predicting the prognosis of treatment in clinical practice.
非小细胞肺癌（NSCLC）是最常见的恶性肿瘤之一，目前仍缺乏特异性分子靶点。血管生成在恶性肿瘤的生长和转移中起核心调节作用，血管生成因子（AFs）参与其中。尽管有许多关于AFs与癌症比较的研究，但尚未见文献报道人类AFs与癌症的预后风险模型。本研究旨在确定与NSCLC发生过程密切相关的关键AFs，已发现四个基因，即C1QTNF6、SLC2A1、PTX3和FSTL3。然后，我们基于这四个基因构建了一种新型的非小细胞肺癌（NSCLC）预后风险模型，并全面分析了其与临床特征、免疫浸润、基因组和预测指标的关系。该模型具有良好的区分度和校准度，在临床实践中对治疗预后的预测将表现良好。
