Meta-Analysis
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Feb 24, 2024; 15(2): 329-355
Published online Feb 24, 2024. doi: 10.5306/wjco.v15.i2.329
Identification and validation of a pyroptosis-related prognostic model for colorectal cancer based on bulk and single-cell RNA sequencing data
Li-Hua Zhu, Jun Yang, Yun-Fei Zhang, Li Yan, Wan-Rong Lin, Wei-Qing Liu
Li-Hua Zhu, Jun Yang, Yun-Fei Zhang, Department of Surgical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
Li Yan, Wei-Qing Liu, Department of Internal Medicine-Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
Wan-Rong Lin, Department of Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
Author contributions: Liu WQ, Yang J, and Zhu LH contributed to conception and design; Zhu LH, Zhang YF, Yan L, and Lin WR contributed to provision of study materials or patients; Zhang YF and Zhu LH contributed to collection and assembly of data; Zhu LH, Liu WQ, Yan L, and Yang J contributed to data analysis and interpretation; Zhu LH and Liu WQ contributed to manuscript writing and editing; Zhu LH, Liu WQ, and Yang J contributed to manuscript revising; all authors approved the final of manuscript.
Supported by the National Natural Science Foundation of China, No. 81960100; Applied Basic Foundation of Yunnan Province, No. 202001AY070001-192; Young and Middle-aged Academic and Technical Leaders Reserve Talents Program in Yunnan Province, No. 202305AC160018; Yunnan Revitalization Talent Support Program, No. RLQB20200004 and No. RLMY20220013; and Yunnan Health Training Project of High-Level Talents, No. H-2017002.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Wei-Qing Liu, Doctor, MD, PhD, Chief Physician, Professor, Department of Internal Medicine-Oncology, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming 650032, Yunnan Province, China. liuweiqing@kmmu.edu.cn
Received: October 1, 2023
Peer-review started: October 1, 2023
First decision: November 29, 2023
Revised: December 24, 2023
Accepted: January 15, 2024
Article in press: January 15, 2024
Published online: February 24, 2024
Abstract
BACKGROUND

Pyroptosis impacts the development of malignant tumors, yet its role in colorectal cancer (CRC) prognosis remains uncertain.

AIM

To assess the prognostic significance of pyroptosis-related genes and their association with CRC immune infiltration.

METHODS

Gene expression data were obtained from The Cancer Genome Atlas (TCGA) and single-cell RNA sequencing dataset GSE178341 from the Gene Expression Omnibus (GEO). Pyroptosis-related gene expression in cell clusters was analyzed, and enrichment analysis was conducted. A pyroptosis-related risk model was developed using the LASSO regression algorithm, with prediction accuracy assessed through K-M and receiver operating characteristic analyses. A nomogram predicting survival was created, and the correlation between the risk model and immune infiltration was analyzed using CIBERSORTx calculations. Finally, the differential expression of the 8 prognostic genes between CRC and normal samples was verified by analyzing TCGA-COADREAD data from the UCSC database.

RESULTS

An effective pyroptosis-related risk model was constructed using 8 genes-CHMP2B, SDHB, BST2, UBE2D2, GJA1, AIM2, PDCD6IP, and SEZ6L2 (P < 0.05). Seven of these genes exhibited differential expression between CRC and normal samples based on TCGA database analysis (P < 0.05). Patients with higher risk scores demonstrated increased death risk and reduced overall survival (P < 0.05). Significant differences in immune infiltration were observed between low- and high-risk groups, correlating with pyroptosis-related gene expression.

CONCLUSION

We developed a pyroptosis-related prognostic model for CRC, affirming its correlation with immune infiltration. This model may prove useful for CRC prognostic evaluation.

Keywords: Colorectal cancer, Pyroptosis, Single-cell RNA sequencing, Immune infiltration, Prognostic model

Core Tip: We constructed a prognostic model related to pyroptosis in colorectal cancer (CRC) and confirmed the correlation with immune infiltration. This model may be useful for prognostic assessment of CRC.