With the discovery of different types of RNAs, the mechanism underlying RNA interaction has gained more and more attention. The hypothesis of "competing endogenous RNA (ceRNAs)" is one of the most fascinating areas of recent research. ceRNAs, including long noncoding RNA (lncRNA), circular RNA (circRNA), microRNA (miRNA), pseudogenes, etc., are classes of RNAs that can compete and interact with each other within an organism and constitute the majority of the human transcriptome.

Accumulating evidence suggests that ceRNAs contribute to the initiation, progression, metastasis, chemoresistance, and recurrence of cancer. The analysis of ceRNA networks in cancer provides new opportunities for clinical cancer diagnosis and treatment. The development of novel computational tools and experimental technologies, providing putative predictions and validations of ceRNA interactions, is a rapidly growing field of interest.

The aim of this Special Issue is to collate original research and review articles describing advances in this field.

Potential topics include but are not limited to the following:

• Breakthrough technologies, bioinformatic tools, and methodologies for the identification and characterization of ceRNAs in cancer
• Molecular mechanisms of ceRNAs during tumor progression (proliferation, apoptosis, metastasis, and recurrence)
• The role of ceRNAs in the chemoresistance of cancer
• Genomic alteration in non-coding RNAs in cancer, affecting the formation of ceRNAs
• Natural compounds and effective drugs that could regulate ceRNAs in cancer
• The interaction of ceRNAs with protein complexes
• Impact of ceRNAs on tumor environment
• Review on the current progress and future perspective of ceRNAs in cancer
• Meta-analysis to identify the function of ceRNAs in cancer
• Impact of ceRNAs on the transcriptome, proteome, and metabolome in cancer