AUTHOR=Ding Zuoyou , Li Ran , Han Jun , Sun Diya , Shen Lei , Wu Guohao 

TITLE=Identification of an Immune-Related LncRNA Signature in Gastric Cancer to Predict Survival and Response to Immune Checkpoint Inhibitors

JOURNAL=Frontiers in Cell and Developmental Biology

VOLUME=Volume 9 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2021.739583

DOI=10.3389/fcell.2021.739583

ISSN=2296-634X

ABSTRACT=Immune microenvironment in gastric cancer (GC) is closely associated with patient’s prognosis. Long non-coding RNAs (lncRNAs) are emerging as key regulators of immune responses. In this study, we aimed to construct a prognostic model based on immune-related lncRNAs (IRLs) to predict the overall survival (OS) and response to immune checkpoint inhibitors (ICIs) of GC patients. The IRL signature was constructed through bioinformatics method and its predictive capability was validated. The landscape of tumor microenvironment (TME) and mutation status partially explain this signature’s predictive capability. We found the level of cancer-associated fibroblasts (CAFs), endothelial cells, M2 macrophages and stroma cells was high in the high-risk group while the number of CD8+ T cells and T follicular helper (Tfh) cells was high in the low-risk group. Immunophenoscore (IPS) is validated for ICI response and the IRL signature low-risk group received higher IPS, represented a more immunogenic phenotype that was more inclined to respond to ICIs. In addition, we found RNF144A-AS1 was highly expressed in GC patients and promoted the proliferation, migration, and invasive capacity of GC cells. We concluded that the IRL signature represents a novel useful model for evaluating GC survival outcomes and could be implemented to optimize the selection of patients to receive ICI treatment.