miRNA biogenesis: biological impact in the development of cancer.

microRNAs (miRNAs) are non coding RNAs with different biological functions and pathological implications. Given their role as post-transcriptional gene expression regulators, they are involved in several important physiological processes like development, cell differentiation and cell signaling. miRNAs act as modulators of gene expression programs in different diseases, particularly in cancer, where they act through the repression of genes which are critical for carcinogenesis. The expression level of mature miRNAs is the result of a fine mechanism of biogenesis, carried out by different enzymatic complexes that exert their function at transcriptional and post-transcriptional levels. In this review, we will focus our discussion on the alterations in the miRNA biogenesis machinery, and its impact on the establishment and development of cancer programs.

Argonaute 2 protein

Arsenic Resistance protein 2

circular RNA

microRNAs

heterogeneous nuclear ribonucleoproteins

DiGeorge syndrome Critical Region 8 protein

TAR RNA binding protein

kinase R–activating protein

RNA-induced silencing complex

poly(A)-binding protein

epithelial–mesenchymal transition

Polycomb repressor complex

MAPK-activated protein kinase 2

KH-type splicing regulatory protein

exportin 5

terminal uridine transferase-4

miRNAs as Cancer Modulators

For over a decade, different studies pointed out the relevance of miRNAs biology in cancer, indicating that they can act as cancer genes, either as tumor suppressors, negatively regulating protein-coding oncogenes, or as oncomiRs, repressing known tumor suppressors. Functional studies have demonstrated that miRNAs can affect cancer phenotypes, and several reports have identified miRNA expression profiles that provide information about tumor origin, prognosis or risk prediction, even better than other expression profiles like mRNA signatures (A more detailed overview is discussed in ref 5). Furthermore, understanding the physiological and pathological miRNA biogenesis mechanisms is important to gain knowledge on the role of this process in carcinogenesis, a situation that will result in the development and improvement of tools for diagnosis, risk evaluation and follow up of cancer patients.

From the Beginning: MiRNA Biogenesis

miRNAs sequences are distributed all throughout the genome, being localized in exonic or intronic regions, as well as intergenic locations. The biogenesis of miRNAs starts with their transcription by RNA polymerase II, although some other miRNAs are transcribed by RNA polymerase III, resulting in a primary transcript known as pri-miRNA which contains a 33bp hairpin stem, a terminal loop and a flanking single stranded sequence of hundreds of bases or even several kilobases. In general, pri-miRNAs are capped at the 5´end and polyadenylated at the 3´end. After transcription, the RNase III Drosha processes the pri-miRNA by cleaving it 11bp away from the hairpin stem (SD junction). During miRNA biogenesis, Drosha might create 2 different complexes to facilitate pri-miRNA cleavage. One is composed by the RNA helicases, p68 and p72, and the heterogeneous nuclear ribonucleoproteins (hnRNPs). The other complex, known as the microprocessor, is composed by Drosha and the DiGeorge syndrome Critical Region 8 protein (DGCR8), a dsRNA-binding protein that stabilizes Drosha through interaction with its C-terminal domain. DGCR8, also serves as a molecular ruler, directing the cleavage of Drosha to the SD junction. Drosha digestion can occur co-transcriptionally or before splicing, and the product of this digestion is an intermediary RNA molecule known as pre-miRNA, which has ∼22 nt in the stem and ∼48nt in the terminal loop.

Alternatively, some non-canonical biogenesis pathways may occur during mRNA splicing, giving rise to “miRtrons”. MiRtrons are in fact, the spliced-out introns of mRNAs, which constitute functional pre-miRNAs. Therefore, production of miRtrons is independent of Drosha digestion ().

Figure 1.

Biogenesis of miRNAs (A) Production of miRNAs starts in the nucleus with the polimerization of the primary hairpin miRNA transcript (pri-miRNA) by RNA polymerase II or III, followed by the cleavage and digestion of the pri-miRNA by the microprocessor complex (Drosha–DGCR8). The resulting transcript is the pre-miRNA, which is exported to the cytoplasm by Exportin-5–Ran-GTP. Once in the cytoplasm, Dicer, TRBP and Paz proteins cleave the pre-miRNA hairpin and digest it to produce a mature duplex miRNA. Then, one of the strands is loaded onto the RISC complex and finally this guides the miRNA to its mRNA target to silence it by direct degradation or by translational repression. (B) Mechanism of post-transcriptional regulation of mRNA target by miRNA i) Regulation by translation repression. ii) Regulation by repression of translation initiation. iii) Regulation by mRNA degradation. iv) Regulation by degradation or storage of mRNA targets in P bodies.

Following pre-miRNA generation, Exportin-5, a Ran-GTP-dependent dsRNA-binding protein, transports the pre-miRNAs to the cytoplasm in a GTP dependent process. Exportin-5 can also protect pre-miRNAs against nuclear degradation. Once in the cytoplasm, Dicer, another RNase III, digests the pre-miRNA into a 22nt mature duplex miRNA (miRNA:miRNA*, where miRNA* is called as the passenger strand). During this process, Dicer is associated with other proteins like TAR RNA binding protein (TRBP) and kinase R–activating protein (PACT) to increase its stability and its processing activity. Dicer is an essential protein of miRNA maturation and its down-regulation decreases the mature miRNA levels. In fact, under certain conditions the absence of Dicer is lethal ().

After generation of the miRNA duplex, the strands are unwound in an ATP-independent process (it is not clear how this process occurs). One strand (the miRNA-guide strand) is loaded onto the RNA-induced silencing complex (RISC), formed by the association of Dicer, TRBP, PACT, most commonly the Argonaute 2 protein (Ago2) and GW182, which promotes Argonaute stability. The resultant complex between mature miRNA and RISC is denominated miRSC. In mammals, selection of the guide strand is dictated by thermodynamic stability, the less stable strand at the 5´end has more probability of being incorporated into the RISC; the remaining strand (miRNA*-passenger strand) is excluded and generally degraded. However, recent miRNA sequencing data, as well as results from our laboratory, demonstrate that a large number of miRNA* are not degraded and are expressed in similar concentrations to their corresponding guide strand. These observations suggest that the passenger strand might also be incorporated into the RISC complex. Consequently, one miRNA sequence can produce 2 different mature miRNAs, each one having different targets and, therefore, different biological functions ().

Finally, the miRISC functions as a guide to recognize the mRNA targets, based on complementarity rules, to negatively regulate mRNAs. During this process, Ago2, a protein with RNA cleavage activity, together with GW182, which interacts with the cytoplasmic poly(A)-binding protein (PABP) and the PAN2–PAN3 and CCR4–NOT deadenylase plays a central role in miRNA-mediated mRNA silencing. There are at least 3 possible mechanisms by which miRNA mediate repression of gene expression: (1) mRNA target hybridization and degradation, (2) translation inhibition during the initiation or elongation phases and (3) mRNA decay by its recruitment to P bodies ().

miRNA Biogenesis Defects and Their Biological Consequences in Cancer Transcriptional Regulation, a Transcription Factor Network

In cancer, numerous transcription factors, some of them well-characterized tumor suppressors or oncogenes, regulate miRNA transcription. Nucleosome positioning methods and ChIP-on-ChIP or ChIP-seq analysis suggest that a set of transcription factors promotes or inhibits miRNA transcription, many of them overlapping with well-known transcription factors of coding genes like Myc and p53, as well as cell type–specific transcription factors such as MEF2, PU.1, and REST. Furthermore, cellular context triggers pri-miRNA transcription in response to growth factor stimuli such as PDGF, TGF-β and BDNF.

Recent evidence indicates that the oncogenic transcription factor Myc acts as a miRNA transcriptional regulator, promoting the transcription of some oncogenic miRNAs as well as the transcriptional inhibition of tumor suppressor miRNAs. One of the first documented oncogenic miRNA clusters promoted by Myc is miR-17–92, which is activated when Myc binds to the E-box in the miR-17–92 coding sequence. The miR-17–92 cluster is frequently over-expressed in a variety of tumors like B-cell lymphomas, breast, colon, lung, pancreas, prostate, and stomach cancers. Some other tumorigenic miRNAs induced by Myc are miR-19a/b, implicated in cancer metabolism and cancer cell survival, miR-18a which contributes to angiogenesis and miR-9 which modulates the expression of mediators of metastasis.

Myc can also actively repress the transcription of numerous miRNAs, including some members of the let-7 and miR-29 families, as well as miR-15a/16–1, miR-26a and miR-34a. These miRNAs have been related to antiproliferative, proapoptotic and antitumorigenic activities in different tumors. In fact, miRNAs regulated by Myc can silence some Myc regulators, in a coordinated negative feedback loop. Myc not only regulates miRNA activity during transcription, it also blocks the maturation of certain miRNAs through its cooperative relationship with some other binding proteins like Lin28, which acts as negative regulator of let-7.

Epigenetic Alterations at MiRNA loci

Epigenetic mechanisms are also important for miRNA transcriptional regulation. Different approaches have shown that DNA methylation and histone deacetylase inhibitors can modify the expression of several miRNAs. The characterization of CpG island content in genomic regions harboring miRNAs, reveals that such regions share a similar DNA and chromatin context, for example, the promotion of a closed chromatin configuration defined by CpG island hypermethylation and covalent histone modifications.

The identification of miRNAs undergoing DNA methylation in a broad set of tumors, pointed out the importance of this process in miRNA downregulation and in the establishment of cancer programs. miR-124 and miR-34, well defined tumor suppressors, are subject to epigenetic silencing by aberrant DNA hypermethylation affecting cell cycle pathways in tumors; while down-regulation of miR-34 affects the Notch pathway involved in cell invasion and apoptosis. Furthermore, DNA methylation profiles in miRNA promoter regions can be useful as a diagnostic and prognostic marker. For example, miR-23b, a miRNA with tumor suppressor activity in prostate cancer, is down-regulated through DNA hypermethylation of its promoter region and its expression level is correlated with overall survival and recurrence-free survival. A more comprehensive list of hypermethylated miRNAs in cancer is included in .

Table 1.

Methylated miRNAs and their role in cancer

miRNA	Cancer activity	Ref
miR-145	Involved in cell pluripotency	61
miR-193	Controls cell differentiation and cell growth in acute myeloid leukemia	62
miR-199a	Controls the expression of genes associated with tumor progression in gastric, ovarian and testicular tumors	63
miR-335	Its hypermethylated phenotype has been associated with metastases in breast cancer	64
miR-1–133a cluster	Modulates metastases in colorectal cancer by repressing TAGLN2	65
miR-200 family	Downregulated in colorectal and breast tumors, favoring epithelial–mesenchymal transition (EMT) phenotypes	66

Deregulated expression of miRNAs in cancer is also a consequence of alteration in histone marks, which occur primarily due to the aberrant action of histone deacetylases and the Polycomb repressor complex (PRC2). For example, over expression of PRC2 in prostate cancer contributes to the repression of miR-101 and miR-205 by increasing the levels of H3K27me3 at their promoters. These alterations result in an increased rate of cell proliferation. In colorectal cancer, chromatin at promoter regions of tumor-suppressor miRNAs show a closed configuration, producing a repressed transcriptional state. Moreover, BRCA1, a well-known tumor suppressor, in addition to its canonical function, can also epigenetically repress the oncomiR miR-155 via its association with HDAC2, which deacetylates histones H2A and H3 on the miR-155 promoter.

CTCF, another epigenetic factor, acts as a border that delimits the propagation of DNA methylation and histone repressive marks over different regulatory regions controlling gene expression. In different cancers, CTCF is lost, promoting repressive epigenetic mechanisms. Recent studies have shown that CTCF regulates miRNAs such as the tumor suppressor miR-125b1 and the oncomiR miR-375 in breast cancer cells.

Post-transcriptional Regulation

Editing miRNA hairpin base pairs

Another potential regulatory mechanism for miRNA biogenesis and activity, is the post-transcriptional editing carried out by the catalyzing enzymes ADAR1 and ADAR2. In this process, adenosine residues are replaced by inosine (A-to-I), therefore, producing an A–U base pair instead of an I–G base pair. Consequently, miRNA edition may influence the transition from pri-miRNA to pre-miRNA. Furthermore, it may also affect miRNA-target specificity by modifying the seed region (a necessary sequence for mRNA and miRNA hybridization). It has been demonstrated that the miRNA-editing process is affected in gliomas, resulting in the production of unedited forms of miR-376*, which lacks the ability to target its natural mRNAs targets, like AMFR. This alteration promotes a higher invasive capacity in the glioma cells.

Drosha processing and alterations in cancer

Immunoprecipitation analyses reveal that the RNA helicases p68 (DDX5) and p72 (DDX17) are associated with the microprocessor complex, modulating the association of Drosha and the pri-miRNA. Additionally, p68 and p72 might interact with some other RNA processing enzymes or transcription factors, modifying Drosha processivity. For example, p68/72 interacts with Smad, p53, and the estrogen receptor, which also regulate miRNA processing. The Smad proteins, act as signal transducers promoting the expression of at least 20 human miRNAs by increasing Drosha cleavage activity upon their target pri-miRNAs. Although there is no clear idea about the mechanisms that determine the set of miRNAs undergoing this type of regulation, sequencing data show that the majority of miRNAs regulated by Smad contain a consensus sequence within the stem region of the corresponding pri-miRNA, to which Smads bind directly. In breast cancer, especially in invasive tumors, TGF-β promotes the expression of the oncomiR miR-155 through Smad4 activity. Moreover, there is a positive co-regulated interaction between miR-155 and TGF-β, as miR-155 negatively regulates RHO A, which in turn silences TGF- β, favoring EMT, cell migration and invasion ().

Figure 2.

Post-transcriptional regulation of miRNA biogenesis in response to cellular signals. (A) RNA helicase (promotes the structural remodeling), TGF-β stimulation, DNA damage (p53), Smads and BRCA promote miRNA processing enhancing pre-miRNA production. Conversely, DR5 and ADAR1 prevent the transition between pri-miRNA to pre-miRNA of a subset of miRNAs. (B) Hormone receptor stimulation or negative regulation over miRNA biogenesis. Androgen receptor (AR) promotes the transcription of the miR-23a/27a/24-a cluster. Moreover, AR enhances the progression from pri-miRNA to pre-miRNA of this cluster. Furthermore, when E2 and ER-α bind the pri-miRNA of the miR-23a/27a/24-a cluster it reduces its processing by Drosha. Additionally, ER-β prevents the biogenesis of the pri-miR-30a through its direct association with Drosha.

In a different cellular context, the tumor suppressor p53 is related with the biological activity of miRNAs, not only because p53 is, in itself, targeted by miRNAs, but also because it regulates miRNAs expression at different levels. Immunoprecipitation experiments have demonstrated that p53 might enhance the cleavage processivity of Drosha. Thus, p53 can promote the processing of specific pri-miRNAs to pre-miRNAs such as miR-145 and miR‑34, which regulate the cell cycle, miR-192, miR-194, miR-195, miR-15a and miR16–1, and miR‑200a/200b/429, miR-200c/141 that antagonize EMT. Recent data showed that p53 plays another regulatory role in miRNA maturation by influencing the accessibility to miRNA targets through the recruitment of RNA-binding proteins, which compete against miRNAs for binding to the 3ʹ UTRs on mRNAs ().

BRCA is also a post-transcriptional modulator of miRNA biogenesis. The tumor-suppressor BRCA1 binds directly to the pri-miRNA sequences of let-7a-1, miR-16–1, miR-145, and miR-34a (all of them tumor suppressors), and increases the pre-miRNA levels of this subset of miRNAs through the interaction with Drosha, Smad and p53. This regulatory mechanism expands the potential consequences of BRCA disruption in cancer and its possible impact in genomic stability ().

The increased proliferation rate of cancer cells is reflected in many genomic and biochemical processes, which also have an important impact on miRNA biogenesis. For instance, under physiological conditions Arsenic Resistance protein 2 (Ars2) is required for cell proliferation, furthermore, ARS2 contributes to microRNA biogenesis under cell proliferation signaling. Ars2 depletion represses the biogenesis of a subset of miRNAs that are important in cancer, including let-7 and miR-21 (). Experimental evidence suggests that Ars2 either binds directly to pri-miRNA transcripts and recruits the Drosha microprocessor or acts as a cofactor for Drosha's enzymatic activity. Other examples involve apoptotic modulators, like DR5 (TRAIL-R2) which also inhibits miRNA maturation of let-7 through direct interaction with Drosha and DGCR8 in pancreatic cancer cell lines, promoting proliferation of cancer cells. Moreover, the expression level of DR5 in pancreatic tumor samples is correlated with poor outcome ().

In addition to its previously mentioned editing function, ADAR1, can form a complex along with DGCR8, preventing the association between DGCR8 and Drosha during pri-miRNA processing. Moreover, it seems that ADAR1 can control the expression of more than 100 miRNAs which are positive regulators of metastatic programs in melanoma().

The participation of several signal transduction pathways in the maturation process of miRNAs has also been described. Recent work has demonstrated that upon activation, the kinase MAPK-activated protein kinase 2 (MK2) phosphorylates p68, enhancing its nuclear localization and incorporation into the microprocessor complex. In breast cancer cell lines, the inhibition of MK2 signaling promotes cell proliferation by enhancing the expression of c-Myc through the suppression of pri-miRNA processing of miR-145, which targets c-Myc().

Apart from their activity as transcription factors, hormone receptors could affect the maturation of miRNAs by preventing the pri-miRNA to pre-miRNA conversion. In breast cancer, ERβ down-regulates miR-30a inhibiting pri-miRNA polymerization, while ERα, but not ERβ, shows inhibitory effects over the maturation of the pri-miRNA cluster miR-23b/27b/24–1 through its direct binding to the p68/p72 Drosha microprocessor complex, which can be activated by E2. A Recent study reported that E2 negatively regulates the expression of miR-30c in endometrial cancer cells, likely through prevention of miRNA maturation. Moreover, the androgen receptor, an important tumorigenic player in prostate cancer, induces the transcription of miR-23a, miR-27a and miR-24–2, but more significantly accelerates primiR-23a/27a/24–2 cluster processing. The evidence indicates that pri-miR-23/27/24 cluster is regulated by hormone signaling in different cancers, which highlights its potential implication in the therapeutic area as a new drug target ().

More than a Loop, the Architecture of Pri-miRNA and its Regulatory Role

An important aspect in miRNA genomic organization is that a set of miRNAs can be located within the same transcription unit in the same manner as a polycistronic transcript. These miRNAs clustered inside the same transcriptional unit may be subject to independent regulation. There are few examples of miRNAs located in the same cluster, which are processed independently from each other. Some studies indicate that the hnRNP A1 binds to the loop region of miR-18, contained in the cluster mir17–92, generating a structural rearrangement in the hairpin that promotes Drosha cleavage, favoring the independent and unique processing of miR-18. The loop region of miR-18a is evolutionarily conserved, suggesting that some other well-conserved loop regions can be modulated by this mechanism (). Some other studies have pointed out the importance of the loop region in pri-miRNA processing regulation, and have described the action of KH-type splicing regulatory protein (KSRP) which directly interacts with G-rich regions present in the loop of some pri-miRNAs, like let-7a and miR-206, promoting Drosha and Dicer processing ().

Figure 3.

Several post-transcriptional mechanisms of miRNA biogenesis regulation. (A) Lin28 prevents the association of Drosha to the pri-miRNA let-7. (B) KSRP binds to the loop region and promotes Drosha processing. (C) Lin28 prevents the association of Dicer to the pre-miRNA let-7. (D) Lin28 promotes the association of TUT4 with the pre-miRNA let-7, enhancing the 3′ uridinylation of the pre-miRNA, and consequently its degradation. (E) KSRP binds to the loop region and promotes Dicer processing. (F) MAPK/ERK signaling modulates the expression or activity of Dicer, by promoting phosphorylation of TRBP. (G) The recognition of the 5′ monophosphate of the pre-miRNAs by Dicer is disrupted by the RNA-methyltransferase BCDIN3D, which phospho-dimethylates the pre-miR-145, and decreases miRNA processing by Dicer. (H) EGFR inhibits the processing of pre-miRNA through phosphorylation of AGO2-Y393, which attenuates the processing of pre-miRNAs to mature miRNAs under hypoxic conditions.

Another well-described mechanism is the link between Lin28 and let-7. Lin28 proteins are oncogenes activated in cancer which function through the repression of the let-7 miRNA family. It has been described that Lin28 blocks let-7 processing at the pri- and pre-miRNA steps, inhibiting the association of the microprocessor or Dicer complexes. This inhibitory mechanism can be the result of the strong interaction between Lin28 and Drosha/DGCR8. Alternatively, the interaction of Lin28 with the loop region might rearrange the secondary structure of the hairpin and inhibit Drosha cleavage. Lin28A and Lin28B are in fact targets of let-7, indicating that Lin28/let-7 regulation involves a double-negative feedback loop, which under physiological conditions serves as a developmental switch ().

In cancer, germline mutations play an important role in the establishment of tumor pathways. In this context, the effect of germline mutations on the regulation of let-7/Lin28 loop might have a huge impact, in particular in breast cancer. The Lin28 rs3811463 (T/C) SNP, located near the let-7 binding site, might disrupt the loop of Lin28/let-7. Specifically, the C allele induced the repression of let-7 by Lin28, resulting in an increased expression of Lin28 and the consequent downregulation of mature let-7.

Exportin 5: Defects in Pre-miRNA Transportat to the Cytoplasm

The miRNA biogenesis pathway can also be affected by mutations in the conveyor exportin 5 (XPO5). Some tumors have mutations that generate pre-miRNA accumulation in the nucleus, reducing miRNA pro­cessing and diminishing mature miRNA expression. The mutant exportin protein lacks a C-terminal region that prevents its association and the export of the pre-miRNA to the cytoplasm, inducing pre-miRNA degradation in the nucleus.

Cytoplasmatic Regulation

Role of Dicer cleavage and expression in cancer

Studies in murine models show that partial depletion of Dicer and Drosha accelerates cellular transfor­mation and tumorigenesis. Furthermore, the complete depletion of Dicer causes miRNA silencing, tumor development and lethality. Heterozygous germ-line mutations in Dicer1 have been described in the pleuropulmonary blastoma-inherited cancer syndrome, and somatic missense mutations have been detected in ovarian tumors. In addition, mutations in other proteins can also alter the expression of Dicer and consequently, its function. For example, truncating mutations in TARBP2, a stabilizer of Dicer 1 protein, down-regulates miRNA global expression in sporadic and hereditary colon carcinomas with microsatellite instability.

Lin28 can also be transported between the nucleus and cytoplasm, although it is enriched in the cytoplasm, suggesting that this is its primary compartment. Lin28 over-expression results in the reduction of Dicer association with let-7 pre-miRNA and, therefore, reduces mature duplex miRNA levels. One possible explanation, is that Lin28 competes with Dicer for recognition of the let-7 pre-miRNA sequence. Another mechanism involves the 3′-polyuridylation of pre-let-7, accomplished through cooperative activity of Lin28 with terminal uridine transferase-4 (TUT4). Sequencing data revealed that the loop of pre-miRNA let-7 has a tetra-nucleotide sequence required for Lin28 binding and consequently Lin28/TUT4 uridylation. Furthermore, knockdown of TUT4 and Lin28 in cancer cells decreased the level of stem cell markers, suggesting that they are required for the maintenance of a tumoral stem cell phenotype ().

p53 mutations are common alterations in the majority of tumors with a variety of consequences. In this regard, it has been shown that mutant p53 can down-regulate Dicer expression through different inhibitory mechanism such as the direct association of TAp63 (a pro-apoptotitc p53 family member) to the DICER promoter in a transcriptional regulatory manner. In murine models, the relationship between mutant p53, TAp63, and Dicer might contribute to the metastatic process promoting cell invasion ().

In several cancer programs, the pleiotropic activity of miRNAs constitutes a mean that provides a wide range of modulatory factors which can considerably modify the malignant phenotype of cancer cells. Particularly, in cell reprograming, miRNAs have been proved to work as factors that may accelerate or suppress the reprogramming process. Recent work in colo-rectal cancer demonstrated that Dicer1-deficient cells showed a reduced number of reprogrammed cells than wild type cells, suggesting that the miRNAs biogenesis machinery can also impact the reprogramming process and tumor phenotype.

The expression of Dicer may also be regulated by cofactors such as TRBP and PACT. Depletion of either of these cofactors decreases the basal levels of Dicer protein. Furthermore, TRBP mutations have been described in cancer and are associated with decreased miRNA levels and with the destabilization of Dicer. Moreover, the overexpression of TRBP contributes to the malignant phenotype of cancer cells. It has been shown that cellular signaling pathways like MAPK/ERK can also modulate the expression or activity of Dicer by promoting the phosphorylation of TRBP, which enhances miRNA production by increasing the stability of Dicer().

Finally, the recognition of the 5′ monophosphate in pre-miRNAs by Dicer has been reported to be an important mechanism to achieve effective miRNA biogenesis. Recently, the RNA-methyltransferase BCDIN3D, has been identified as a negative regulator for miRNA maturation. In breast cancer, BCDIN3D phospho-dimethylates the tumor suppressor pre-miR-145 causing a reduction in its processing by Dicer().

Clinical Value of miRNA Biogenesis Machinery Profiles

Consistent with the functional consequences of alterations in the expression of proteins involved in miRNA biogenesis, different studies have highlighted the clinical relevance of defining markers for tumor prognosis and aggressiveness based on the status of the miRNA biogenesis machinery. For example, differences in the expression levels and cellular localization of Dicer between different tumor types and clinical outcomes suggest that Dicer and Drosha might have more than one function among cancer cells with different phenotypes. summarizes some of the studies that report the relationship of Dicer and Drosha expression with clinical outcomes in different cancers.

Table 2.

Relation between Drosha and Dicer with clinical parameters

Molecule	Cancer type	Clinical	Cite
Drosha	Cutaneous melanoma	Reduced nuclear expression of Drosha, and its aberrant subcellular localization are correlated with disease progression	115
Drosha	Non-small cell lung cancer	Overexpression of Drosha is an independent predictor of reduced disease-specific survival.	116
Dicer	Non-small cell lung carcinoma	Downregulation of Dicer is related to poor prognosis.	117
Dicer	Breast Cancer	Deregulated Dicer expression is associated with aggressive tumors and is an independent prognostic marker for overall survival.	118
Dicer	Oral squamous cell carcinoma	Dicer is a potential marker for clinical response to 5-FU-based chemoradiotherapy and overall survival	119
Dicer	Colorectal cancer patients	Low expression of Dicer seems to be an independent predictor of positive outcome and response to Bevacizumab therapy.	120
Dicer	Soft tissue sarcomas	Elevated Dicer immunoreactivity was significantly associated with poor outcome and Dicer expression level is an independent negative prognostic factor.	121
Dicer	Chronic lymphocytic leukemia	Low expression of Dicer is associated with a more aggressive tumor	122
Dicer and Drosha	Ovarian cancer	Patients with over-expression of Dicer and Drosha have a higher median survival time, while low Dicer expression is associated with advanced tumor stage.	123
Dicer and Drosha	Gallbladder adenocarcinoma	Loss of Dicer and Drosha expression is related to metastasis, invasion, and poor-prognosis.	124
Dicer and Drosha	Triple negative breast cancer	Deregulation of Dicer and Drosha cellular localization. These tumors exhibit detectable levels of Dicer protein in the nuclear compartment.	125
Drosha and Dicer	Nasopharyngeal cancer	Positive correlation between Drosha and Dicer expression with progression-free survival and overall survival	126
Drosha and Dicer	T-Cell Lymphoma	Single Nucleotide Polymorphism of Drosha (rs6877842) and Dicer (rs3742330) are significantly associated with survival.	127

Argonaute, a Multi-role Protein in Cancer

During the final steps of miRNA biogenesis, the expression of Ago2 is not only critical for the formation of the miRISC, but also for the amount of mature miRNAs. Ectopic expression of Ago proteins results in an increase in mature miRNA levels. This correlation between Ago and mature miRNA levels, suggests that Ago must be expressed in a controlled and limited fashion in the cell to maintain miRNA homeostasis under physiological conditions. Interestingly, the altered expression of Ago2 is also associated with a transformed phenotype in breast cancer cells.

Hypoxia contributes to altered gene expression in tumors. In addition to affecting the activity of coding genes, increased levels of hypoxia in cancer cells also affects miRNA maturation and stability. Hypoxia leads to an increase in the expression of the enzyme prolyl hydroxylation, which hydroxilates Ago2. Thus, hydroxylation of Ago2 is required for miRNA loading onto the RISC; more hydroxilated Ago2 protein results in an increase level of mature miRNAs. These data show how a posttranslational modification of Ago2 via hypoxia might mediate the miRNA biogenesis pathway.

Stress responses in tumor cells are also important for the modulation of miRNA biogenesis. EGFR, a well-known oncogene, suppresses the maturation of specific miRNAs in response to hypoxic stress. The association between EGFR and Ago2 promotes the Ago2-Y393 phosphorylation, which in turn inhibits miRNA processing by impairing the proper formation of the RISC-Ago2 complex. Strikingly, high levels of phosphorylated-Y393-Ago2 have been correlated with poor survival in breast cancer.

The role of Ago2 in the function of mature miRNAs extends beyond its activity as member of the RISC complex. In fact, down-regulation of Ago2 reduces the half-lives of multiple miRNAs. Argonaute proteins post-transcriptionally regulate mature miRNA levels via increasing miRNA stability. Ago2 may also have a role as translational repressor of the miRNA-mRNA duplex. All this data highlights the versatility of Ago2 as modulator of miRNA gene expression and function.

Even though Ago2 is the only catalytic argonaute protein in mammals, all 4 human argonaute proteins bind to miRNAs. Genomic approaches have shown that some miRNA subpopulations preferentially bind to a certain argonaute protein (Ago1, Ago3, Ago4 - which might be redundant- and Ago2) in a context dependent manner with different implications in carcinogenesis. Conversely, miRNA incorporation to the RISC complex might be regulated and influenced by different factors; one of them is incorporation of ago 3, which enhances the incorporation of the passenger strand of the tumor suppressor let-7a (let7-a*) to the RISC complex, and by consequence, promotes its biological activity in cancer cells. It seems that Ago3 modulates the ratio between microRNA guide and passenger strands.

Conclusion - New Insights

The advent of new analytical methods, such as RNA-seq and Chip-seq, has allowed us to gain insight into the versatility of factors controlling gene expression and how the disturbance of such factors might operate to determine the altered phenotypes of cancer cells. Since their discovery, miRNAs have been the subject of intense research. During this time, we have gained considerable understanding about the biogenesis pathways and mechanisms of action of miRNAs. However, one thing we have learned is that there are many ways in which the processes of miRNA production, stability and maturation can be orchestrated. Moreover, new mechanisms for miRNA biogenesis have been described and they might play important roles as cancer drivers (). It is possible that as we increase our power to unveil novel factors involved in miRNA biogenesis, we will also find new disruption mechanisms that alter the proper function of these molecules in the cancer scenario, giving us the opportunity to explore new veins for biomarker discovery and development of new targeted drugs.

Table 3.

Novel mechanisms of miRNA biogenesis and their possible impact on cancer

Mechanism	Description	Cancer implication	Ref
Novel miRNA product: semi-miRNA	A semi-microRNA of 12-nt long, corresponding to the 5′ region of the microRNA let-7 is generated during miRNA biogenesis.	This new miRNA biogenesis product could participate in gene expression regulation by controlling the activity of mature microRNAs.	136+
Autoregulation of microRNA biogenesis	Argonaute binds to pri-miRNA let-7 in human cells promoting downstream processing events. There is an interesting positive feed back loop, in which the mature let-7 miRNA modulates the interaction of Ago and the pri-miRNA.	Novel role for Argonaute in promoting the biogenesis of the tumor-suppressor let-7, and possible nuclear activity of Ago. This data suggests that miRNAs can also hybridize with non-coding RNAs. This study reveals a new mechanism for controlling miRNA expression and possible implications in disease.	137
New control steps for miRNA length and activity	It has been observed that the average length of many miRNAs is diminished during neuronal development. This decrease is correlated with an increased expression level of Ago2 in the adult brain. Ago may function in size establishment through its interaction with the Paz domain.	Mammalian Argonautes may define the length and, possibly, the biological activity of mature miRNAs in a developmental controlled manner. In cancer, this mechanism could impact cell biology and cancer phenotype, since Ago expression and activity is disrupted.	138
Independent mechanisms	Hairpin length confers advantage to certain miRNAs to undergo independent maturation process via Ago2-mediated pathways. These data show the importance of the hairpin architecture in miRNA biogenesis.	The conserved pre-mir-451 hairpin is directly cleaved by Argonaute via slicer activity, in a Dicer independent manner. This new mechanism can have a potential role in cancer since miR-451 has already been related with oncogenesis. The down-regulation of miR-451 has been described in esophageal squamous cell carcinoma 139, in gliomas 140, and in drug resistance in colorectal cancer.141	142
Circulating miRNAs	Ago2 generates complexes and microvesicles (MVs) to provide specific and non-specific protection for circulating miRNAs.	Different studies have described the altered-state of circulating miRNAs in cancer, with potential consequences in cancer development. Ago2 plays a critical role in stabilizing circulating miRNAs. Moreover, the identification of extracellular Ago2-miRNA complexes in plasma reveals the possibility that cells release a functional RISC into the circulatory system.	124
Alternative ways to generate miRNAs	A small number of miRNAs are generated from single-stranded regions known as loop-miR.	Further studies are necessary for unravel the pathological roles of the endogenous loop-miRs.	143
Another intermediate processing product	AGO2-cleaved pre- miRNAs (ac-pre-miRNAs) are generated as a secondary product of miRNA biogenesis and as a functional substrate for Dicer.	A large number of isomiRs, isoforms of mature miRNAs, potentially derive from ac-pre-miRNAs, with similar expression as the canonical miRNAs. These studies reveal the functional activity of ac-pre-miRNAs, targeting genes enriched in pathways important in cell maintenance and cancer pathways.	128,144
miRNA sponges	miRNA sponges, also known as circular RNA (circRNA) bind to miRNAs and suppress their function.	Bioinformatic predictions suggest the presence of thousands of circRNAs in the cancer genome with critical post-transcriptional functions.	145,146
Nuclear mature miRNAs	Increasing evidence reports the function of miRNAs in the nucleus. It has been described that mature miRNAs can shuttle between the cytoplasm and the nucleus via Exportin 1 (XPO1).	Specific miRNAs contain sequence elements that control their subcellular localization with potential different implications in cancer cells.	147
RISC proteins act as oncogenes in hormone-dependent cancers in the nucleus	TRBP acts as nuclear receptor co-activator that is recruited to hormone-responsive promoters in cancer cells. Dicer also acts as nuclear receptor co-activator in prostate cancer cells and enhances androgen receptor signaling.	Relationship between endocrine signaling and the miRNA processing machinery would provide new knowledge for the engineering of novel therapeutics.	148