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Pyroptosis-related Gene Signature: A Predictor for Overall Survival, Immunotherapy Response, and Chemosensitivity in Patients with Pancreatic Adenocarcinoma

Overview
Journal Heliyon
Specialty Social Sciences
Date 2023 Dec 21
PMID 38125471
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Abstract

Background: Pancreatic adenocarcinoma (PAAD) is a lethal malignancy with high levels of heterogeneity. Pyroptosis is thought to influence the development of various tumors. Nevertheless, the role of pyroptosis-related genes (PRGs) in prognostic risk stratification and therapeutic guidance for PAAD remains ambiguously.

Methods: Transcriptome profile and clinical information of PAAD patients were retrieved from The Cancer Genome Atlas (TCGA) as well as Gene Expression Omnibus (GEO) databases, followed by differential analysis. Patients were divided into distinct pyroptosis phenotype subtypes based on the characteristic of differently expressed PRGs (DEPRGs). Then a PRG signature was established through univariate analysis and LASSO algorithm in the training set to assess the prognostic risk, and its reliability was verified in the validation set using receiver operating characteristic(ROC) curve. The correlation of risk score with tumor microenvironment(TME), TMB and chemotherapeutic drug sensitivity were also analyzed. In addition, a nomogram was constructed to promote better clinical application.

Results: A total of 28 DEPRGs were determined in the integrated TCGA-GEO datasets. Patients were divided into three pyroptosis phenotype subtypes, Kaplan-Meier curve suggested patients in cluster B had a worse prognosis than those in cluster A and C. Then a price signature comprised of 8 PRGs was generated. TME analysis suggested that the low-risk subgroup displayed potential stronger antitumor immune effect and might respond better to immune checkpoint inhibitors (ICIs) therapy. Furthermore, PRG signature exhibited favorable discriminatory ability for TMB status and the sensitivity of multiple conventional chemotherapeutic agents including paclitaxel. Ultimately, we constructed a promising nomogram according to the risk score and N stage with good predictive accuracy compared with the actual overall survival (OS) probabilities.

Conclusion: We established an 8-gene signature that could be regarded as an independent prognostic risk factor for PAAD patients. The 8-gene signature could provide rationale for immunotherapy and chemotherapy, which might help clinicians make precise individualized treatment regimens.

References
1.
Ru Y, Kechris K, Tabakoff B, Hoffman P, Radcliffe R, Bowler R . The multiMiR R package and database: integration of microRNA-target interactions along with their disease and drug associations. Nucleic Acids Res. 2014; 42(17):e133. PMC: 4176155. DOI: 10.1093/nar/gku631. View

2.
Yu G, Li F, Qin Y, Bo X, Wu Y, Wang S . GOSemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinformatics. 2010; 26(7):976-8. DOI: 10.1093/bioinformatics/btq064. View

3.
Gutteridge R, Ndiaye M, Liu X, Ahmad N . Plk1 Inhibitors in Cancer Therapy: From Laboratory to Clinics. Mol Cancer Ther. 2016; 15(7):1427-35. PMC: 4936921. DOI: 10.1158/1535-7163.MCT-15-0897. View

4.
Rueda C, Moreno-Fernandez M, Jackson C, Kallapur S, Jobe A, Chougnet C . Neonatal regulatory T cells have reduced capacity to suppress dendritic cell function. Eur J Immunol. 2015; 45(9):2582-92. PMC: 4666291. DOI: 10.1002/eji.201445371. View

5.
Hou J, Zhao R, Xia W, Chang C, You Y, Hsu J . PD-L1-mediated gasdermin C expression switches apoptosis to pyroptosis in cancer cells and facilitates tumour necrosis. Nat Cell Biol. 2020; 22(10):1264-1275. PMC: 7653546. DOI: 10.1038/s41556-020-0575-z. View