Pyroptosis-Related Signature as Potential Biomarkers for Predicting Prognosis and Therapy Response in Colorectal Cancer Patients

被引:12
作者
Li, Zhiyong [1 ,2 ]
Liu, Yang [1 ,3 ]
Lin, Baiqiang [1 ]
Yan, Wei [1 ]
Yi, Huijie [4 ,5 ]
Wang, Haoran [1 ]
Wei, Yunwei [1 ,3 ]
机构
[1] Harbin Med Univ, Affiliated Hosp 1, Dept Oncol & Endoscop Surg, Harbin, Peoples R China
[2] Heilongjiang Acad Med Sci, Translat Med Res & Cooperat Ctr Northern China, Harbin, Peoples R China
[3] Univ Chinese Acad Sci, HwaMei Hosp, Pancreat & Gastrointestinal Surg Div, Ningbo, Peoples R China
[4] Peking Univ, Sch Nursing, Beijing, Peoples R China
[5] Peking Univ, Resp & Crit Care Med, Peoples Hosp, Beijing, Peoples R China
关键词
colorectal cancer; pyroptosis; prognostic; genetic alteration; immune cell infiltration; single-cell sequencing; TUMOR MICROENVIRONMENT; EXPRESSION; CLEAVAGE; ACTIVATION; CELLS; GSDMD;
D O I
10.3389/fgene.2022.925338
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Abnormal mucosal inflammation is a critical risk factor for pathogenesis and progression of colorectal cancer (CRC). As a type of proinflammatory death, pyroptosis can recast a suitable microenvironment to promote tumor growth. However, the potential role of pyroptosis in CRC remains unclear.Methods: A total of 38 pyroptosis-related gene (PRG) expression profiles and clinical information were collected from multiple public datasets. Bioinformatics methods were used to analyze the clinical significance, functional status, immune infiltration, genomic alteration, and drug sensitivity in different subgroups. Whole-genome microarray analysis was performed to analyze the regulation of gut microbiota on the expression of PRGs.Results: Two distinct molecular subtypes were identified and suggested that multilayer PRG alterations were associated with patient clinicopathological features, prognosis, and tumor microenvironment (TME) infiltrating characteristics. Furthermore, we obtained eight PRG signatures by applying differential expression analysis and univariate Cox and Lasso regression analyses. A risk prognosis model was constructed for predicting overall survival (OS) and recurrence-free survival (RFS) based on the PRG signature. There were significant differences in clinical characteristics, 22 immune cells, and immune functions between the high- and low-risk groups. In addition, the PRG signature was significantly associated with the microsatellite instability (MSI), tumor mutation burden (TMB), cancer stem cell (CSC) index, immunotherapeutic characteristics, and chemotherapeutic drug sensitivity. Moreover, the in vitro experiments had shown that Fusobacterium nucleatum (F.n) could affect the CASP6 expression, which was associated with the chemoresistance to 5-fluorouracil (5-Fu) in CRC.Conclusion: Our findings provided a foundation for future research targeting pyroptosis and a new insight into the prognosis and immune cell infiltration of CRC, and they suggested that F.n might influence CRC progression through pyroptosis.
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页数:25
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