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
Processing time: 141 Days and 20.9 Hours
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.