Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer

Int J Mol Sci. 2023 Nov 22;24(23):16600. doi: 10.3390/ijms242316600.

Abstract

In this review, we provide a general overview of the current panorama of mining strategies for multi-omics data to investigate lncRNAs with an actual or potential role as biological markers in cancer. Several multi-omics studies focusing on lncRNAs have been performed in the past with varying scopes. Nevertheless, many questions remain regarding the pragmatic application of different molecular technologies and bioinformatics algorithms for mining multi-omics data. Here, we attempt to address some of the less discussed aspects of the practical applications using different study designs for incorporating bioinformatics and statistical analyses of multi-omics data. Finally, we discuss the potential improvements and new paradigms aimed at unraveling the role and utility of lncRNAs in cancer and their potential use as molecular markers for cancer diagnosis and outcome prediction.

Keywords: cancer; long non-coding RNAs; multi-omics.

Publication types

  • Review

MeSH terms

  • Clinical Relevance
  • Computational Biology
  • Humans
  • Multiomics
  • Neoplasms* / genetics
  • RNA, Long Noncoding* / genetics

Substances

  • RNA, Long Noncoding

Grants and funding

This research received no external funding.