Zhou Rui, Li Lingbo, Zhang Yue, Liu Zhihong, Wu Jianhua, Zeng Dongqiang, Sun Huiying, Liao Wangjun
Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China.
Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, Guangdong, PR China.
Heliyon. 2023 Nov 30;10(1):e22775. doi: 10.1016/j.heliyon.2023.e22775. eCollection 2024 Jan 15.
Recent findings have suggested that solute carrier (SLC) transporters play an important role in tumor development and progression, and alterations in the expression of individual SLC genes are critical for fulfilling the heightened metabolic requirements of cancerous cells. However, the global influence of the co-expression pattern of SLC transporters on the clinical stratification and characteristics of the tumor microenvironment (TME) remains unexplored. In this study, we identified five SLC gene subtypes based on transcriptome co-expression patterns of 187 SLC transporters by consensus clustering analysis. These subtypes, which were characterized by distinct TME and biological characteristics, were successfully employed for prognostic and chemotherapy response prediction in colon cancer patients, as well as demonstrated associations with immunotherapy benefits. Then, we generated an SLC score model comprising 113 genes to quantify SLC gene co-expression patterns and validated it as an independent prognostic factor and drug response predictor in several independent colon cancer cohorts. Patients with a high SLC score possessed distinct characteristics of copy number variation, genomic mutations, DNA methylation, and indicated an SLC-S2 subtype, which was characterized by strong stromal cell infiltration, stromal pathway activation, poor prognosis, and low predicted fluorouracil and immunotherapeutic responses. Furthermore, the analysis of the Cancer Therapeutics Response Portal database revealed that inhibitors targeting PI3K catalytic subunits could serve as promising chemosensitizing agents for individuals exhibiting high SLC scores. In conclusion, the co-expression patterns of SLC transporters aided the disease classification, and the SLC score proved to be a reliable tool for distinguishing SLC gene subtypes and guiding precise treatment in patients with colon cancer.
最近的研究结果表明,溶质载体(SLC)转运蛋白在肿瘤发生和发展中起重要作用,单个SLC基因表达的改变对于满足癌细胞增加的代谢需求至关重要。然而,SLC转运蛋白共表达模式对肿瘤微环境(TME)的临床分层和特征的整体影响仍未得到探索。在本研究中,我们通过共识聚类分析,基于187种SLC转运蛋白的转录组共表达模式,鉴定出五种SLC基因亚型。这些亚型具有不同的TME和生物学特征,成功用于预测结肠癌患者的预后和化疗反应,并显示出与免疫治疗疗效的关联。然后,我们生成了一个包含113个基因的SLC评分模型,以量化SLC基因共表达模式,并在几个独立的结肠癌队列中验证其为独立的预后因素和药物反应预测指标。SLC评分高的患者具有不同的拷贝数变异、基因突变、DNA甲基化特征,并表明为SLC-S2亚型,其特征是基质细胞浸润强烈、基质途径激活、预后不良以及预测的氟尿嘧啶和免疫治疗反应低。此外,对癌症治疗反应门户数据库的分析表明,针对PI3K催化亚基的抑制剂可作为SLC评分高的个体有前景的化学增敏剂。总之,SLC转运蛋白的共表达模式有助于疾病分类,SLC评分被证明是区分SLC基因亚型和指导结肠癌患者精准治疗的可靠工具。