Identification of molecular subtypes and prognostic model to reveal immune infiltration and predict prognosis based on immunogenic cell death-related genes in lung adenocarcinoma

Cell Cycle. 2023 Dec-Dec;22(23-24):2566-2583. doi: 10.1080/15384101.2023.2300591. Epub 2024 Jan 2.

Abstract

Immunogenic cell death (ICD) has been increasingly indicated to be related to caners. However, ICD's role in Lung adenocarcinoma (LUAD) is still not well investigated. Clinical data along with associated mRNA expression profiles from LUAD cases were collected in TCGA and GEO databases. 13 ICD-related genes were identified. Relations of ICD-related genes expression with prognosis of patients, tumor immune microenvironment (TIME) was analyzed. Then, candidate genes were identified and the prognostic signature were constructed. Afterwards, one nomogram incorporating those chosen clinical data together with risk scores were built. Finally, the effect of HSP90AA1, one gene of the prognostic signature, on LUAD cell were analyzed. Two clusters were identified, which were designated as the ICD-high or -low subtype according to ICD-related genes levels. ICD-high subgroup showed good prognosis, high immune cell infiltration degrees, and enhanced immune response signaling activity compared with ICD-low subtype. Moreover, we established and verified the risk signature based on ICD-related genes. High risk group predicted poor prognosis of LUAD independently and presented negative association with immune score and immune status. Furthermore, nomogram contributed to the accurate prediction of LUAD prognostic outcome. Finally, HSP90AA1 levels were remarkably elevated within tumor cells in comparison with healthy pulmonary epithelial cells. HSP90α, HSP90AA1 protein product, promoted growth, migration, and invasion of LUAD cells. Molecular subtypes and prognostic model were identified by incorporating ICD-related genes, and it was related to TIME and might be adopted for the accurate prediction of LUAD prognosis.

Keywords: HSP90AA1; Immunogenic cell death; lung adenocarcinoma.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma of Lung* / genetics
  • Epithelial Cells
  • Humans
  • Immunogenic Cell Death
  • Lung Neoplasms* / genetics
  • Prognosis
  • Tumor Microenvironment / genetics

Grants and funding

This work was supported by the National Natural Science Foundation of China, grant number 81803058; the Chinese Society of Clinical Oncology, grant numberY-QL2019-0337; Chinese Postdoctoral Science Foundation, grant number 2022M711316; Natural Science Foundation of Shandong Province in China, grant number ZR2023MH102; Mount Tai Scholar Project Special Fund, NO.tsqn202211363; Special Fund for Qilu Health Leading Talent Cultivation Project.