Zhuo Zewei, Lin Hanying, Liang Jun, Ma Pengyue, Li Jingwei, Huang Lin, Chen Lishan, Yang Hongwei, Bai Yang, Sha Weihong
School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Front Cell Dev Biol. 2022 Feb 7;9:802528. doi: 10.3389/fcell.2021.802528. eCollection 2021.
Mitophagy is a conserved cellular process that plays a vital role in maintaining cellular homeostasis by selectively removing dysfunctional mitochondria. Notwithstanding that growing evidence suggests that mitophagy is implicated in pancreatic tumorigenesis, the effect of mitophagy-related genes on pancreatic cancer (PC) prognosis and therapeutic response remains largely unknown. In this study, we sought to construct a mitophagy-related gene signature and assessed its ability to predict the survival, immune activity, mutation status, and chemotherapy response of PC patients. During the screening process, we identified three mitophagy-related genes (PRKN, SRC, VDAC1) from The Cancer Genome Atlas (TCGA) cohort and a 3-gene signature was established. The prognostic model was validated using an International Cancer Genome Consortium (ICGC) cohort and two Gene Expression Omnibus (GEO) cohorts. According to the median risk score, PC patients were divided into high and low-risk groups, and the high-risk group correlated with worse survival in the four cohorts. The risk score was then identified as an independent prognostic predictor, and a predictive nomogram was constructed to guide clinical decision-making. Remarkably, enhanced immunosuppressive levels and higher mutation rates were observed in patients from the high-risk group, which may account for their poor survival. Furthermore, we found that high-risk patients were more sensitive to paclitaxel and erlotinib. In conclusion, a mitophagy-related gene signature is a novel prognostic model that can be used as a predictive indicator and allows prognostic stratification of PC patients.
线粒体自噬是一种保守的细胞过程,通过选择性清除功能失调的线粒体在维持细胞稳态中发挥重要作用。尽管越来越多的证据表明线粒体自噬与胰腺肿瘤发生有关,但线粒体自噬相关基因对胰腺癌(PC)预后和治疗反应的影响仍 largely 未知。在本研究中,我们试图构建一个线粒体自噬相关基因特征,并评估其预测 PC 患者生存、免疫活性、突变状态和化疗反应的能力。在筛选过程中,我们从癌症基因组图谱(TCGA)队列中鉴定出三个线粒体自噬相关基因(PRKN、SRC、VDAC1),并建立了一个三基因特征。使用国际癌症基因组联盟(ICGC)队列和两个基因表达综合数据库(GEO)队列对预后模型进行了验证。根据中位风险评分,将 PC 患者分为高风险组和低风险组,高风险组在四个队列中与较差的生存相关。然后将风险评分确定为独立的预后预测指标,并构建了预测列线图以指导临床决策。值得注意的是,在高风险组患者中观察到免疫抑制水平增强和突变率更高,这可能解释了他们较差的生存情况。此外,我们发现高风险患者对紫杉醇和厄洛替尼更敏感。总之,线粒体自噬相关基因特征是一种新型的预后模型,可作为预测指标并实现 PC 患者的预后分层。