Unveiling mitophagy-mediated molecular heterogeneity and development of a risk signature model for colorectal cancer by integrated scRNA-seq and bulk RNA-seq analysis

被引:3
作者
Gao, Han [1 ,2 ,3 ]
Zou, Qi [1 ,2 ,3 ]
Ma, Linyun [4 ]
Cai, Keyu [1 ,2 ,3 ]
Sun, Yi [2 ,5 ]
Lu, Li [1 ,2 ,3 ]
Ren, Donglin [1 ,2 ,3 ]
Hu, Bang [1 ,2 ,3 ,6 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 6, Dept Gen Surg Coloproctol, Guangzhou, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 6, Guangdong Prov Key Lab Colorectal & Pelv Floor Dis, Guangzhou, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 6, Biomed Innovat Ctr, Guangzhou, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Anesthesiol, Guangzhou, Guangdong, Peoples R China
[5] Kingmed Pathol Ctr, Dept Pathol, Guangzhou, Guangdong, Peoples R China
[6] Sun Yat Sen Univ, Affiliated Hosp 6, Dept Coloproctol, 26 Yuancun Erheng Rd, Guangzhou 510655, Guangdong, Peoples R China
关键词
colorectal cancer; scRNA-seq; mitophagy; risk signature; anticancer therapy; NATURAL-KILLER-CELLS; HIGH EXPRESSION; T-CELLS; PROGNOSIS; DIFFERENTIATION; FRACTALKINE; ACTIVATION; CX3CL1; CHINA; GENE;
D O I
10.1093/gastro/goad066
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background Accumulating researchers have recognized mitophagy as a key player in tumors, but few studies have investigated its role in the tumor microenvironment (TME). Advances in the technology of single-cell RNA sequencing (scRNA-seq) have allowed unveiling the concealed features of the TME at cellular resolution. This study aimed to elucidate the role of mitophagy within the TME of colorectal cancer (CRC) and to establish a mitophagy-mediated risk model.Methods We assessed mitophagy-related pathway activities at both single-cell and tissue levels. Subsequently, an unsupervised clustering algorithm was employed to identify mitophagy-mediated subtypes. Furthermore, we developed a mitophagy-mediated risk signature (MMRS) using least absolute shrinkage and selection operator (LASSO) Cox analysis and constructed a MMRS model incorporating the risk score and clinical variables. Subsequently, we used quantitative reverse transcription polymerase chain reaction analysis to verify the expression of the screened genes.Results We retrieved and annotated a total of 14,719 cells from eight samples in the scRNA-seq GSE132465 data set. The activities of mitophagy-related pathways were uniformly upregulated in cancer cells. Integrating with bulk RNA-seq data, we identified two mitophagy-mediated clusters (C1 and C2) with distinct characteristics and prognoses. C2 was identified as a mitophagy-high cluster. Then, we developed a five-gene MMRS via LASSO Cox analysis in The Cancer Genome Atlas (TCGA) cohort. We utilized the GSE39582 cohort to validate the efficacy of our model. The expression of CX3CL1 and INHBB was upregulated in CRC tissues.Conclusions The present study identified two mitophagy-mediated CRC subtypes with distinct features. Our MMRS may provide potential therapeutic strategies for CRC. The findings of our work offer novel insights into the involvement of mitophagy in CRC.
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页数:12
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