Expression, prognosis value, and immune infiltration of lncRNA ASB16-AS1 identified by pan-cancer analysis

Bioengineered. 2021 Dec;12(2):10302-10318. doi: 10.1080/21655979.2021.1996054.

Abstract

Long non-coding RNA known as ASB16 antisense RNA1 (ASB16-AS1) has been proven to be an oncogene, and the relationship between ASB16-AS1 and immunity is still under studied. This study aims to explore the expression and prognostic potential of ASB16-AS1, and to visualize the relationship between ASB16-AS1 expression and immune infiltration in pan-cancer analysis. We clarified ASB16-AS1 expression patterns and its relationship with prognosis through multi-platform and multi-database sources. We also verified the function of ASB16-AS1 in liver hepatocellular carcinoma (LIHC). A variety of immune cell content evaluation methods were used to mutually verify the correlation between ASB16-AS1 and immune infiltration. Finally, the relationships between ASB16-AS1 and molecular characteristics were further explored. In terms of comprehensive analysis, compared with non-tumor tissues, ASB16-AS1 was highly expressed in tumor tissues, and indicated the value of poor prognosis in multiple cancer types. Functional assays, such as counting kit-8 assay, transwell assay and scratch-wound assay verified that high ASB16-AS1 expression promoted tumor progression in LIHC. ASB16-AS1 was positively correlated with B cells, T cells CD4+ and T cells CD8+ in most cancer types, and negatively correlated with macrophages, dendritic cells and neutrophils in some cancer types. In addition, there were different interaction modes between ASB16-AS1 and molecular features, such as the relationship with oncogenic signaling pathways, showing that the high ASB16-AS1 expression was related to alterations in oncogenic signaling pathways. Our study emphasizes that ASB16-AS1 is a potential pan-cancer prognostic marker, whichs is associated with the immune infiltration in multiple cancer types.

Keywords: Immune infiltration; Long non-coding RNA ASB16-AS1; Molecular characteristics; Pan-cancer; Prognosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carcinoma, Hepatocellular / genetics
  • Cell Line, Tumor
  • Cell Movement / genetics
  • Cell Proliferation / genetics
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Liver Neoplasms / genetics
  • Multivariate Analysis
  • Neoplasm Invasiveness
  • Neoplasms / genetics*
  • Neoplasms / immunology*
  • Neoplasms / pathology
  • Prognosis
  • Proportional Hazards Models
  • RNA, Long Noncoding / genetics
  • RNA, Long Noncoding / metabolism*
  • Reproducibility of Results
  • Transcriptome / genetics
  • Up-Regulation / genetics

Substances

  • RNA, Long Noncoding

Grants and funding

The study was supported by funds from the National Natural Science Foundation of China (Grant nos.NSFC81860319 and NSFC81960329)