Liu Zhihao, Zhao Enen, Li Huali, Lin Dagui, Huang Chengmei, Zhou Yi, Zhang Yaxin, Pan Xingyan, Liao Wenting, Li Fengtian
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, China.
Front Genet. 2023 May 2;14:1105368. doi: 10.3389/fgene.2023.1105368. eCollection 2023.
A growing body of evidence demonstrates that Stress granules (SGs), a non-membrane cytoplasmic compartments, are important to colorectal development and chemoresistance. However, the clinical and pathological significance of SGs in colorectal cancer (CRC) patients is unclear. The aim of this study is to propose a new prognostic model related to SGs for CRC on the basis of transcriptional expression. Differentially expressed SGs-related genes (DESGGs) were identified in CRC patients from TCGA dataset by limma R package. The univariate and Multivariate Cox regression model was used to construct a SGs-related prognostic prediction gene signature (SGPPGS). The CIBERSORT algorithm was used to assess cellular immune components between the two different risk groups. The mRNA expression levels of the predictive signature from 3 partial response (PR) and 6 stable disease (SD) or progress disease (PD) after neoadjuvant therapy CRC patients' specimen were examined. By screening and identification, SGPPGS comprised of four genes (CPT2, NRG1, GAP43, and CDKN2A) from DESGGs is established. Furthermore, we find that the risk score of SGPPGS is an independent prognostic factor to overall survival. Notably, the abundance of immune response inhibitory components in tumor tissues is upregulated in the group with a high-risk score of SGPPGS. Importantly, the risk score of SGPPGS is associated with the chemotherapy response in metastatic colorectal cancer. This study reveals the association between SGs related genes and CRC prognosis and provides a novel SGs related gene signature for CRC prognosis prediction.
越来越多的证据表明，应激颗粒（SGs）作为一种非膜性细胞质区室，对结直肠癌的发生发展和化疗耐药性具有重要作用。然而，SGs在结直肠癌（CRC）患者中的临床和病理意义尚不清楚。本研究旨在基于转录表达提出一种与SGs相关的CRC新预后模型。通过limma R包在来自TCGA数据集的CRC患者中鉴定差异表达的SGs相关基因（DESGGs）。使用单变量和多变量Cox回归模型构建与SGs相关的预后预测基因特征（SGPPGS）。使用CIBERSORT算法评估两个不同风险组之间的细胞免疫成分。检测了新辅助治疗后3例部分缓解（PR）和6例疾病稳定（SD）或疾病进展（PD）的CRC患者标本中预测特征的mRNA表达水平。通过筛选和鉴定，建立了由DESGGs中的四个基因（CPT2、NRG1、GAP43和CDKN2A）组成的SGPPGS。此外，我们发现SGPPGS的风险评分是总生存的独立预后因素。值得注意的是，在SGPPGS高风险评分组中，肿瘤组织中免疫反应抑制成分的丰度上调。重要的是，SGPPGS的风险评分与转移性结直肠癌的化疗反应相关。本研究揭示了SGs相关基因与CRC预后之间的关联，并为CRC预后预测提供了一种新的SGs相关基因特征。
