Abstract
In a recent issue of Nature, Kumar et al. demonstrate that the oncogenic potential of the Hmga2 gene is largely due to the ability of its transcript to operate as a competing endogenous RNA in a protein coding-independent manner. The Hmga2 mRNA decoys the let-7 microRNA family to regulate Tgfbr3 expression and enhance TGF-β signaling, thereby promoting lung cancer progression.
MicroRNAs are a large class of small non-coding RNAs which regulate gene expression by binding to microRNA response elements (MREs) on target transcripts. It has become increasingly clear in recent years that transcripts which contain MREs for shared microRNAs can co-regulate each other by titrating microRNA availability, thus acting as natural microRNA sponges or competing endogenous RNAs (ceRNAs)1,2. Although ceRNA activity has been attributed to both protein-coding and non-coding RNAs such as small non-coding RNAs, long non-coding RNAs, pseudogenes and circular RNAs in diverse species, little is known about the precise molecular conditions needed for optimal ceRNA crosstalk.
A recent study by Kumar et al. has led to important insights into this recently described post-transcriptional regulatory dimension3. The authors focused on Hmga2, a non-histone chromosomal high-mobility group protein which contributes to lung cancer progression and metastasis. The Hmga2 3′ UTR contains seven conserved MREs for the let-7 family of microRNAs4, which has previously been demonstrated to constrain lung cancer development5. Kumar et al. generated a series of Hmga2 expression constructs (wild-type Hmga2, WT; Hmga2 with all seven let-7 binding sites mutated, m7; Hmga2 with the single in-frame start codon mutated, ATG WT; and Hmga2 with both the start codon and let-7 binding sites mutated, ATG m7). This allelic series enabled them to disentangle the contribution of Hmga2's function as a let-7 ceRNA from its protein-coding function in lung cancer development.
Kumar et al. found that both WT and ATG WT constructs dramatically promoted anchorage-independent growth of lung cancer cell lines in vitro, rescued tumor formation in an autochthonous lung cancer model in vivo, and reduced survival of transplanted mice. A more modest effect was observed with the m7 construct and no growth was observed with the double mutant ATG m7 construct. Critically, the in vitro effects were rescued by exogenous expression of let-7. These results indicate that the interaction of the Hmga2 transcript with let-7 is critical for the oncogenic function while the Hmga2 protein is largely dispensable for lung cancer progression, suggesting a ceRNA function for the Hmga2 transcript.
To examine potential targets of Hmga2's ceRNA activity, the authors predicted let-7 targets among mRNAs that are differentially expressed in Hmga2-expressing vs non-expressing lung cancer cells. This approach identified six ceRNA targets that are regulated by Hmga2 in a let-7-dependent manner. Subsequent analyses validate the TGF-β co-receptor Tgfbr3 as a bona fide target of Hmga2 ceRNA (Figure 1A), and establish Tgfbr3 and TGF-β signaling to be critical for the oncogenic effect of Hmga2. Importantly, HMGA2 and TGFBR3 expression is reciprocally positively correlated in human lung cancer, indicating that the oncogenic ceRNA function of HMGA2 is conserved across species.
Kumar et al. performed several important experiments that further validated ceRNA crosstalk between Hmga2 and Tgfbr3 and addressed a number of key open questions about such crosstalk. First, the authors demonstrated that Tgfbr3 recruitment to the Ago2-based microRNA repression complex was reduced in both Hmga2 WT and ATG WT cells by RNA immunoprecipitation. Intriguingly, the authors reported that Hmga2's ceRNA activity does not result in changes in the levels of let-7 isoforms or their association with Ago2, suggesting that Hmga2 was able to block the association of Tgfbr3 with Ago2 via its function as a let-7 ceRNA. As previous studies have shown that microRNA decoying can direct the degradation and thus decrease the abundance of decoyed microRNAs6, this observation suggests that ceRNA regulation may have varying effects on targeted microRNAs which may be sequence-specific and context-dependent.
Moreover, RNA-seq analyses demonstrated that Hmga2 was one of the most highly expressed predicted let-7 target transcripts, Hmga2 and Tgfbr3 transcripts were expressed at similar levels, and total expression levels of let-7 family members was within an order of magnitude of Hmga2 and Tgfbr3. These observations are consistent with previous reports suggesting that optimal ceRNA crosstalk would occur when the abundance of microRNA and ceRNA transcripts were near equimolarity7. Hmga2 shares let-7 sites with numerous other transcripts besides Tgfbr3 and, considering simple stoichiometry, the effect of reduced let-7 availability in response to Hmga2 overexpression should be “diluted” by all let-7 targets. Indeed, using Sylamer analysis, Kumar et al. report an enrichment of let-7 site-containing transcripts upon Hmga2 overexpression, suggesting a more global effect on let-7 targets. Intriguingly, however, only six differentially expressed let-7 targets were identified as Hmga2 ceRNA targets. These data could indicate a marginal effect of Hmga2-mediated sequestration of let-7 on most let-7 targets, while a few let-7 targets are affected signficantly. Stoichiometry dictates that the overexpression of an abundant transcript such as Hmga2 has profound ceRNA effects on lowly expressed let-7 targets. However, five out of six identified Hmga2 ceRNA targets (Tgfbr3, Angptl2, Fndc3, Hmga1, and Skil) are among the highly expressed let-7 targets, suggesting that additional factors such as subcellular localization may determine the effect of let-7 sponging. Indeed, another prominent target of the let-7 family, the potent oncogene K-Ras, was unaffected by Hmga2 overexpression. Future work will provide further insight into the intricacies of regulation of ceRNA crosstalk. Additionally, recent reports have identified other bona fide Hmga2-targeting microRNAs, including miR-33a and miR-1548,9. The ability of Hmga2 to sequester these and other additional microRNAs may confer further complexity to its function as a ceRNA and should be investigated in future studies.
This study also provided evidence for the co-evolution of ceRNA and transcriptional networks. Kumar et al. found that the five Hmga2 ceRNA targets besides Tgfbr3 are transcriptionally regulated by TGF-β signaling. This suggests that Hmga2 regulates the expression of these transcripts in a feed-forward manner, first through ceRNA crosstalk, and second through transcriptional control via the Tgfbr3-TGF-β axis (Figure 1B). Many more of such integrated ceRNA and transcriptional networks likely remain to be found, and their identification would indicate that ceRNA crosstalk is not a mere coincidence but a sophisticated means to fine-tune biological networks.
In summary, this report by Kumar et al. provides convincing evidence for the provocative hypothesis that in specific contexts, the primary function of a protein-coding gene may act as a microRNA decoy. It is also the first study which provides mutational analyses of the relevant microRNA-binding sites to demonstrate the functional relevance of ceRNA activity in tumorigenesis in vivo. Furthermore, Kumar et al. demonstrate that even highly abundant microRNAs like let-7 can be effectively regulated by highly expressed ceRNAs with multiple MREs. As both Hmga2 and let-7 have been implicated in multiple cancers as well as developmental processes, further insights into the Hmga2-let7 ceRNA network will have important implications for human health and disease.
References
- Salmena L, Poliseno L, Tay Y, et al. Cell. 2011. pp. 353–358. [DOI] [PMC free article] [PubMed]
- Tay Y, Rinn J, Pandolfi PP. Nature. 2014. pp. 344–352. [DOI] [PMC free article] [PubMed]
- Kumar MS, Armenteros-Monterroso E, East P, et al. Nature. 2014. pp. 212–217. [DOI] [PMC free article] [PubMed] [Retracted]
- Mayr C, Hemann MT, Bartel DP. Science. 2007. pp. 1576–1579. [DOI] [PMC free article] [PubMed]
- Kumar MS, Erkeland SJ, Pester RE, et al. Proc Natl Acad Sci USA. 2008. pp. 3903–3908. [DOI] [PMC free article] [PubMed]
- Cazalla D, Yario T, Steitz JA. Science. 2010. pp. 1563–1566. [DOI] [PMC free article] [PubMed]
- Ala U, Karreth FA, Bosia C, et al. Proc Natl Acad Sci USA. 2013. pp. 7154–7159. [DOI] [PMC free article] [PubMed]
- Rice SJ, Lai SC, Wood LW, et al. J Biol Chem. 2013. pp. 16348–16360. [DOI] [PMC free article] [PubMed]
- Zhu C, Li J, Cheng G, et al. Mol Cell Biochem. 2013. pp. 69–75. [DOI] [PubMed]