» Articles » PMID: 37993258

Identification and Validation of Necroptosis-related Gene Signatures to Predict Clinical Outcomes and Therapeutic Responses in Acute Myeloid Leukemia

Overview
Specialty Geriatrics
Date 2023 Nov 22
PMID 37993258
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Necroptosis is a tightly regulated form of necrotic cell death that promotes inflammation and contributes to disease development. However, the potential roles of necroptosis-related genes (NRGs) in acute myeloid leukemia (AML) have not been elucidated fully.

Methods: We conducted a study to identify a robust biomarker signature for predicting the prognosis and immunotherapy efficacy based on NRGs in AML. We analyzed the genetic and transcriptional alterations of NRGs in 151 patients with AML. Then, we identified three necroptosis clusters. Moreover, a necroptosis score was constructed and assessed based on the differentially expressed genes (DEGs) between the three necroptosis clusters.

Results: Three necroptosis clusters were correlated with clinical characteristics, prognosis, the tumor microenvironment, and infiltration of immune cells. A high necroptosis score was positively associated with a poor prognosis, immune-cell infiltration, expression of programmed cell death 1/programmed cell death ligand 1 (PD-1/PD-L1), immune score, stromal score, interferon-gamma (IFNG), merck18, T-cell dysfunction-score signatures, and cluster of differentiation-86, but negatively correlated with tumor immune dysfunction and exclusion score, myeloid-derived suppressor cells, and M2-type tumor-associated macrophages. Our observations indicated that a high necroptosis score might contribute to immune evasion. More interestingly, AML patients with a high necroptosis score may benefit from treatment based on immune checkpoint blockade.

Conclusions: Consequently, our findings may contribute to deeper understanding of NRGs in AML, and facilitate assessment of the prognosis and treatment strategies.

References
1.
Zhao Z, Liu H, Zhou X, Fang D, Ou X, Ye J . Necroptosis-Related lncRNAs: Predicting Prognosis and the Distinction between the Cold and Hot Tumors in Gastric Cancer. J Oncol. 2021; 2021:6718443. PMC: 8592775. DOI: 10.1155/2021/6718443. View

2.
Kearney C, Martin S . An Inflammatory Perspective on Necroptosis. Mol Cell. 2017; 65(6):965-973. DOI: 10.1016/j.molcel.2017.02.024. View

3.
Mermel C, Schumacher S, Hill B, Meyerson M, Beroukhim R, Getz G . GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers. Genome Biol. 2011; 12(4):R41. PMC: 3218867. DOI: 10.1186/gb-2011-12-4-r41. View

4.
Jiang P, Gu S, Pan D, Fu J, Sahu A, Hu X . Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response. Nat Med. 2018; 24(10):1550-1558. PMC: 6487502. DOI: 10.1038/s41591-018-0136-1. View

5.
Hattori N, Kawaguchi Y, Sasaki Y, Shimada S, Murai S, Abe M . Monitoring TIGIT/DNAM-1 and PVR/PVRL2 Immune Checkpoint Expression Levels in Allogeneic Stem Cell Transplantation for Acute Myeloid Leukemia. Biol Blood Marrow Transplant. 2019; 25(5):861-867. DOI: 10.1016/j.bbmt.2019.01.013. View