Published in: Nature Reviews Cancer vol. 6, no. 4, pp. 259-269 (April,  2006)
doi:10.1038/nrc1840
http://www.nature.com/nrc/journal/v6/n4/full/nrc1840.html

Review: "Oncomirs — microRNAs with a role in cancer".

Aurora Esquela-Kerscher 1,  and Frank J. Slack 1

1 Yale University, Department of Molecular, Cellular & Developmental Biology, 266 Whitney Avenue, New Haven, Connecticut 06520, USA.

Correspondence to: Frank J. Slack.  Email:   frank.slack@yale.edu


NetworkEditor's Perspective: microRNAs suppress and/or provoke Human neoplasms.

Abstract:

MicroRNAs (miRNAs) are an abundant class of small non-protein-coding RNAs that function as negative gene regulators. They regulate diverse biological processes, and bioinformatic data indicates that each miRNA can control hundreds of gene targets, underscoring the potential influence of miRNAs on almost every genetic pathway. Recent evidence has shown that miRNA mutations or mis-expression correlate with various human cancers and indicates that miRNAs can function as tumour suppressors and oncogenes. miRNAs have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer.

* View At a Glance

Cancer is caused by uncontrolled proliferation and the inappropriate survival of damaged cells, which results in tumour formation. Cells have developed several safeguards to ensure that cell division, differentiation and death occur correctly and in a coordinated fashion, both during development and in the adult body. Many regulatory factors switch on or off genes that direct cellular proliferation and differentiation. Damage to these genes, which are referred to as tumour-suppressor genes and oncogenes, is selected for in cancer. Most tumour-suppressor genes and oncogenes are first transcribed from DNA into RNA, and are then translated into protein to exert their effects. Recent evidence indicates that small non-protein-coding RNA molecules, called microRNAs (miRNAs), might also function as tumour suppressors and oncogenes.




Introduction:

We are just beginning to understand how this novel class of gene regulators is involved in cancer-related pro-cesses in humans. Out of hundreds of miRNAs that have recently been identified, only a small number from worm, fly and human genomes have been characterized. They have been shown to control cell growth, differentiation and apoptosis; consequently, impaired miRNA expression has been implicated in tumorigenesis. Continued research into miRNA function might lead to an advanced understanding of the mechanisms that lead to tumorigenesis. In this Review, we discuss the emerging field of 'oncomirs' — miRNAs that are associated with cancer — and how these miRNAs could be used in the diagnosis and treatment of cancer.

miRNAs are a large family of gene regulators

miRNAs are non-coding, single-stranded RNAs of approx ~22 nucleotides and constitute a novel class of gene regulators that are found in both plants and animals [1]. They negatively regulate their targets in one of two ways depending on the degree of complementarity between the miRNA and the target (Fig. 1). First, miRNAs that bind with perfect or nearly perfect complementarity to protein-coding mRNA sequences induce the RNA-mediated interference (RNAi) pathway (see Ref. 2 for a review on RNAi). Briefly, mRNA transcripts are cleaved by ribonucleases in the miRNA-associated, multiprotein RNA-induced-silencing complex (miRISC), which results in the degradation of target mRNAs. This mechanism of miRNA-mediated gene silencing is commonly found in plants [3, 4, 5], but miRNA-directed mRNA cleavage has also been shown to occur in mammals [6]. However, most animal miRNAs are thought to use a second mechanism of gene regulation that does not involve the cleavage of their mRNA targets. These miRNAs exert their regulatory effects by binding to imperfect complementary sites within the 3' untranslated regions (UTRs) of their mRNA targets, and they repress target-gene expression post-transcriptionally, apparently at the level of translation, through a RISC complex that is similar to, or possibly identical with, the one that is used for the RNAi pathway [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]. Consistent with translational control, miRNAs that use this mechanism reduce the protein levels of their target genes, but the mRNA levels of these genes are barely affected. However, recent findings indicate that miRNAs that share only partial complementarity with their targets can also induce mRNA degradation, but it is unclear if translational inhibition precedes destabilization of the gene targets in these cases [19, 20].

Figure 1: The biogenesis of microRNAs.

MicroRNA (miRNA) genes are generally transcribed by RNA Polymerase II (Pol II) in the nucleus to form large pri-miRNA transcripts, which are capped (7MGpppG) and polyadenylated (AAAAA). These pri-miRNA transcripts are processed by the RNase III enzyme Drosha and its co-factor, Pasha, to release the ~70-nucleotide pre-miRNA precursor product. (Note that the human let-7a-1 miRNA is shown here as an example of a pre-miRNA hairpin sequence. The mature miRNA sequence is shown in red.) RAN–GTP and exportin 5 transport the pre-miRNA into the cytoplasm. Subsequently, another RNase III enzyme, Dicer, processes the pre-miRNA to generate a transient ~22-nucleotide miRNA:miRNA* duplex. This duplex is then loaded into the miRNA-associated multiprotein RNA-induced silencing complex (miRISC) (light blue), which includes the Argonaute proteins, and the mature single-stranded miRNA (red) is preferentially retained in this complex. The mature miRNA then binds to complementary sites in the mRNA target to negatively regulate gene expression in one of two ways that depend on the degree of complementarity between the miRNA and its target. miRNAs that bind to mRNA targets with imperfect complementarity block target gene expression at the level of protein translation (lower left). However, recent evidence indicates that miRNAs might also affect mRNA stability (not shown). Complementary sites for miRNAs using this mechanism are generally found in the 3' untranslated regions (3' UTRs) of the target mRNA genes. miRNAs that bind to their mRNA targets with perfect (or nearly perfect) complementarity induce target-mRNA cleavage (lower right). miRNAs using this mechanism bind to miRNA complementary sites that are generally found in the coding sequence or open reading frame (ORF) of the mRNA target.


The biogenesis of miRNAs has only recently been elucidated1 (Fig. 1). miRNAs, which generally seem to be transcribed by RNA polymerase II, are initially made as large RNA precursors that are called pri-miRNAs. The pri-miRNAs are processed in the nucleus by the RNase III enzyme, Drosha, and the double-stranded-RNA-binding protein, Pasha (also known as DGCR8), into ~70-nucleotide pre-miRNAs, which fold into imperfect stem-loop structures [21, 22, 23, 24, 25, 26, 27, 28]. The pre-miRNAs are then exported into the cytoplasm by the RAN GTP-dependent transporter exportin 5 (Refs 29, 30, 31) and undergo an additional processing step in which a double-stranded RNA of ~22 nucleotides in length, referred to as the miRNA:miRNA* duplex, is excised from the pre-miRNA hairpin by another RNAse III enzyme, Dicer[19, 32, 33, 34]. Subsequently, the miRNA:miRNA* duplex is incorporated into the miRISC complex. The mature miRNA strand is preferentially retained in the functional miRISC complex and negatively regulates its target genes (see above).

Many researchers failed to appreciate the importance of miRNAs when they were initially described more than a decade ago. This is because the first miRNA gene that was identified, lin-4, was thought to be unique to the roundworm Caenorhabditis elegans and control the timing and progression of the nematode life cycle [8, 12, 35]. However, the identification of hundreds of miRNAs within worm, fly and mammalian genomes by traditional cloning techniques and bioinformatics [12, 17, 21, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50] has now captured the attention of scientists specializing in various different fields. There are estimated to be at least 300 miRNAs (and there might be as many as 1000) in the human genome, comprising ~1–4% of all expressed human genes, which makes miRNAs one of the largest classes of gene regulator [46, 51, 52]. Most human miRNAs are found within introns of either protein-coding or noncoding mRNA transcripts [53]. The remaining miRNAs are either located far from other transcripts in the genome, within the exons of noncoding mRNA genes or within the 3' UTRs of mRNA genes, or they are clustered with other miRNA genes, including a cluster on chromosome 19 that is comprised of 54 novel miRNAs [1, 27, 52, 53, 54]. miRNAs can be grouped into families on the basis of sequence homology, which is found primarily at the 5' end of the mature miRNAs, but whether members of the same miRNA family control similar biological events remains to be seen. Many miRNAs are evolutionarily conserved from worms to humans, which implies that these miRNAs direct essential processes both during development and in the adult body.

miRNAs regulate multiple gene targets

The current challenge is to accurately identify targets that are regulated by miRNAs. Because miRNAs usually bind to their targets with incomplete complementarity, which allows short stretches of mismatched base-pairs and G–U base pairing, the identification of gene targets with a simple BLAST search is impossible. However, current bioinformatic approaches have taken advantage of the fact that miRNAs within families have highest homology at the 5' end of the mature miRNA. Several studies have indicated that the 5' end of the miRNA is crucial for the stability and proper loading of the miRNA into the miRISC complex [55, 56], and this end is also important for biological function [57, 58, 59]. Therefore, most bioinformatic algorithms use a 'miRNA seed' that encompasses the first 2–8 bases of the mature miRNA sequence to search for complementarity to sequences in the 3' UTR of all expressed genes. These studies have revealed that a single miRNA might bind to as many as 200 gene targets and that these targets can be diverse in their function; they include transcription factors, secreted factors, receptors and transporters [20, 47, 60, 61, 62, 63, 64, 65, 66, 67, 68]. So, miRNAs potentially control the expression of about one-third of human mRNAs.

However, many targets are missed using the 'miRNA seed' approach as there is evidence that other variables besides the first 2–8 nucleotides of the miRNA sequence dictate miRNA regulation. For example, the complete mature miRNA sequence of let-7 has been evolutionarily conserved from worms to humans [37], demonstrating the functional relevance of the 3' end. Furthermore, mutagenesis studies in our laboratory have shown that base pairing at both the 5' and 3' ends of let-7 is required for downregulation of a target gene [69]. Therefore, the number of known miRNA targets could increase and the challenge will be to determine which predicted targets are biologically relevant. Sites that are complementary to several miRNAs have also been identified within the 3' UTR of a single gene target, indicating that complex patterns of combinatorial regulation by miRNAs exist [12, 16, 61, 70]. Because miRNAs potentially have a broad influence over several diverse genetic pathways, the deletion or misexpression of these small RNAs is likely to be pleotropic and contribute to disease, including cancer.

The miRNA-associated genes and human cancer

Components of the miRNA-machinery have been implicated in tumorigenesis. Expression of Dicer has been shown to be downregulated in lung cancer [71]. Karube et al. examined RNA expression levels of DICER and DROSHA in 67 non-small-cell lung cancer samples [71]. They found that reduced expression of DICER correlates with shortened post-operative survival, which indicates that Dicer might be able to prevent the transformation of lung tissue. As Dicer has been implicated in heterochromatin maintenance and centromeric silencing, reduced protein levels might directly result in genomic instability and lead to tumour formation [71, 72, 73]. However, Kanellopoulou et al. recently showed that mouse embryonic stem (ES) cells that lack Dicer showed no aberrations in chromosome number or structure despite observed heterochromatin deficits, and the injection of these Dicer-deficient ES cells into nude mice failed to generate tumours [72]. Therefore, the potential role of Dicer in tumour formation might be indirect and result from the reduction of miRNAs in the lung that posses tumour-suppressor characteristics. Dicer gene-disruption studies in mice have shown that this gene is important during mammalian development and directs proper stem-cell differentiation, T-cell specification and limb morphogenesis, presumably reflecting the role of mature miRNAs in these processes [72, 74, 75, 76, 77]. Therefore, the association of Dicer with lung cancer indicates a further role for this gene, and perhaps miRNAs, during lung differentiation.

The Argonaute proteins, which are crucial components of the RISC complex that direct both short interfering (siRNA)- and miRNA-mediated gene regulation, have also been associated with various cancers. Three human Argonaute genes — AGO3 (also known as eukaryotic translation-initiation factor 2 subunit 3 (EIF2C3)), AGO1 (also known as EIF2C1) and AGO4 (also known as EIF2C4), which are clustered on chromosome 1 (1p34–35) — are frequently deleted in Wilms tumour of the kidney and have also been associated with neuro-ectodermal tumours [7, 78]. AGO1 is highly expressed in the developing lung and kidney and is notably increased in renal tumours that lack the Wilms-tumour suppressor gene, WT1 (Ref. 7). This indicates a role for AGO1 in the differentiation of these tissues during embryogenesis. An additional Argonaute gene, HIWI, which is the human orthologue of the Drosophila melanogaster Argonaute gene piwi, maps to the genomic region 12q24.33, which is a locus that is associated with testicular germ-cell cancers [79]. This testis-specific gene was found to be upregulated in 12 out of 19 testicular seminomas (tumours that are derived from embryonic germ cells). These studies indicate that HIWI might have oncogenic activity and might normally function to control the proliferation and maintenance of germ cells. Further insight into the accessory proteins that comprise the machinery mediating miRNA processing and miRNA-directed gene repression will be important when designing therapeutic drugs that use miRNAs to treat disorders such as cancer.

miRNAs, growth, differentiation and disease

The biological roles of only a small fraction of identified miRNAs have been elucidated to date. These miRNAs regulate cancer-related processes such as cell growth and tissue differentiation, and therefore might themselves function as oncomirs. For example, the miRNAs that are encoded by lin-4 and let-7 control the timing of cell differentiation and proliferation in C. elegans. Mutations in these C. elegans miRNA genes lead to abnormalities in cell-cycle exit and terminal differentiation, which are characteristics that are found in cancer cells. Interestingly, the mammalian homologues of lin-4 and let-7 have been shown to control cell proliferation in human cell lines [80, 81] and are also associated with various cancers [81, 82, 83, 84, 85] (discussed below).

The D. melanogaster miRNA that is encoded by bantam induces tissue growth by both stimulating cell proliferation and inhibiting apoptosis [17, 86], which are features that are shared with bona fide oncogenes. However, there are no close homologues of bantam in humans. Another D. melanogaster miRNA, miR-14, is a strong suppressor of apoptosis, which is also an important oncogenic characteristic [49]. In addition, miR-14 also seems to have unrelated functions in the D. melanogaster stress-response pathway and in regulating fat metabolism [49]. Other characterized miRNAs have essential functions during development and direct the proper differentiation of cells into various tissues. Examples include miR-273 and the miRNA that is encoded by lys-6, which are involved in patterning the C. elegans nervous system [43, 50]; miR-430 in Danio rerio brain development [87]; miR-181 in the differentiation of mammalian haematopoietic cells towards the B-cell lineage [88]; miR-375 in mammalian pancreatic islet-cell development and the regulation of insulin secretion [89]; miR-143 during mammalian adipocyte differentiation [90]; miR-196 in mammalian limb patterning [91]; and the miR-1 genes during mammalian heart development [92]. Further characterization of novel miRNAs might reveal other gene regulators that coordinate proper organ formation, embryonic patterning and body growth, and might also provide insight into the mechanisms of human diseases such as cancer.

miRNAs that are implicated in cancer

miRNA expression correlates with various cancers, and these genes are thought to function as both tumour suppressors and oncogenes (Fig. 2; Table 1). A recent study showed that about 50% of annotated human miRNAs are located in areas of the genome, known as fragile sites, that are associated with cancer. This indicates that miRNAs might have a crucial function in cancer progression [83]. For example, mir-125b-1, the homologue of C. elegans lin-4, is located in a fragile site on chromosome 11q24, which is deleted in a subset of patients with breast, lung, ovarian and cervical cancer [83]. A report by Sonoki et al. also linked this gene with leukaemia, and described a patient with precursor-B-cell acute lympho-blastic leukaemia who carried an insertion of pre-miRNA into the immunoglobulin heavy-chain locus [85]. Although the investigators could not determine how mir-125b-1 expression [85] was modulated in the tumour cells, this study supports a role for this gene as an oncomir.

Figure 2: MicroRNAs can function as tumour suppressors and oncogenes.

a | In normal tissues, proper microRNA (miRNA) transcription, processing and binding to complementary sequences on the target mRNA results in the repression of target-gene expression through a block in protein translation or altered mRNA stability (not shown). The overall result is normal rates of cellular growth, proliferation, differentiation and cell death.

b | The reduction or deletion of a miRNA that functions as a tumour suppressor leads to tumour formation. A reduction in or elimination of mature miRNA levels can occur because of defects at any stage of miRNA biogenesis (indicated by question marks) and ultimately leads to the inappropriate expression of the miRNA-target oncoprotein (purple squares). The overall outcome might involve increased proliferation, invasiveness or angiogenesis, decreased levels of apoptosis, or undifferentiated or de-differentiated tissue, ultimately leading to tumour formation.

c | The amplification or overexpression of a miRNA that has an oncogenic role would also result in tumour formation. In this situation, increased amounts of a miRNA, which might be produced at inappropriate times or in the wrong tissues, would eliminate the expression of a miRNA-target tumour-suppressor gene (pink) and lead to cancer progression. Increased levels of mature miRNA might occur because of amplification of the miRNA gene, a constitutively active promoter, increased efficiency in miRNA processing or increased stability of the miRNA (indicated by question marks). ORF, open reading frame.




Table 1: MicroRNAs that are associated with human cancers.
 
 
miRNA Gene loci Cancer association Function   References
( N/A, not applicable;  OG, oncogene; TS, tumour suppressor. )
miR-15a, 
miR-16-1
 Chromosome 
 13q14

 Frequently deleted or downregulated in B-cell 
 chronic lymphocytic leukemia; negatively regulates
 the anti-apoptotic gene BCL2
 TS   93,94
miR-143, 
miR-145
 Chromosome 
 5q32–33

 Decreased abundance in colorectal cancer; downregulated in   breast, prostate, cervical and lymphoid cancer cell lines;  miR-145 is decreased in breast cancer
 TS 84,97
miR-21  Chromosome 
 17q23.2

Anti-apoptotic factor; upregulated in glioblastomas 
and breast cancer
 OG 84,100,101
let-7
family 
members
 Multiple loci
Negatively regulate the Ras oncogenes; direct cell proliferation  and differentiation; decreased 
abundance in lung cancer
 TS 81,82
miR-142  Chromosome 
 17q22

A t(8;17) translocation that places the MYC oncogene downstream of the mir-142 hairpin, 
resulting in an aggressive B-cell leukemia that is 
due to MYC overexpression
 N/A 41
BIC/
miR-155
 Chromosome 
 21q21

Upregulated in paediatric Burkitt, Hodgkin
primary mediastinal and diffuse large-B-cell 
lymphomas; upregulated in human breast cancer
 OG 84,105–108
miR-17–19b 
cluster
 Chromosome 
 13q31–32

Upregulated by MYC; negatively modulates the E2F1 oncogene; loss of heterozygosity 
of this cluster is found in hepatocellular 
carcinoma; overexpressed in B-cell lymphomas
 TS/OG 109,110


The first indication that miRNAs could function as tumour suppressors came from a report by Calin et al. that showed that patients who were diagnosed with a common form of adult leukaemia, B-cell chronic lymphocytic leukemia (CLL), often have deletions or downregulation of two clustered miRNA genes, mir-15a and mir-16-1 (Ref. 93). Deletions within the 13q14 locus occur in more than 65% of CLL cases, as well as in 50% of mantle cell lymphomas, 16–40% of multiple myelomas and 60% of prostate cancers. Therefore, it was predicted that a tumour-suppressor gene must reside in this 30-kb region. Interestingly, mir-15a and mir-16-1 map within the intron of a non-protein-coding RNA gene of unknown function, which is called LEU2. Clinicians had previously noted that CLL patients with 13q14 deletions have a more favourable prognosis than those with abnormal karyotypes or deletions at other loci such as 11q23 or 17p13. This might be due to the fact that homologues of mir-15a and mir-16-1 that are clustered on chromosome 3 (mir-15b and mir-16-2, respectively) continue to be expressed at low levels in patients with CLL; therefore, 13q14 deletions do not lead to the complete elimination of these miRNA families.

A recent report by Cimmino et al. showed that miR-15a and miR-16-1 negatively regulate BCL2, which is an anti-apoptotic gene that is often over-expressed in many types of human cancers, including leukaemias and lymphomas [94]. Therefore, it is thought that the deletion or downregulation of mir-15a and mir-16-1 results in increased expression of BCL2, promoting leukaemogenesis and lymphomagenesis in haematopoietic cells. The tumour-suppressor role of miR-16 is further supported by the finding that two patients with CLL carried a germline C to T mutation 7 base-pairs downstream of the mir-16-1 precursor, resulting in decreased miR-16-1 expression levels [95]. Although further characterization of the biological functions of miR-15 and miR-16-1 have not been completed, evidence indicates that mir-16-1 expression is preferentially downregulated in various leukaemias but not in cancers that originate from other tissues. This supports a role for this miRNA in the immune system and B-cell differentiation [93, 96, 97, 98, 99, 100].

Additional studies have shown a strong correlation between abrogated expression of miRNAs and oncogenesis. For example, mature miRNA levels of miR-143 and miR-145 are significantly reduced in colorectal tumours [97]. Interestingly, the hairpin precursor transcripts of these miRNAs were detected in similar quantities in normal and tumour tissues, indicating that the processing of mir-143 and mir-145 might be disrupted in these cancer samples. However, the tumour-suppressor roles of miR-143 and miR-145 might not be specific to colorectal tissue as their expression is also downregulated in breast, prostate, cervical and lymphoid cancer cell lines [84, 97]. Another report demonstrated that miR-21 is upregulated in glioblastoma [101]. This gene was found to be expressed at a 5–100-fold higher rate in gliomas than in normal tissue. Antisense studies of miR-21 in glioblastoma cell lines showed that this miRNA controls cell growth by inhibiting apoptosis but does not affect cell proliferation, which implies an oncogenic role for this miRNA. An independent study that used microarray analysis to compare the expression of 245 miRNAs in glioblastoma versus normal tissues also identified miR-21 levels as being increased in glioblastoma tumours [100]. However, as mir-21 is not a brain-specific gene [100] and miR-21 expression is increased in human breast cancer samples [84], this miRNA might have a wider function in tumour progression. More studies need to be done to show whether these miRNAs have a direct function in cancer progression or are simply differentially modulated in tumours.

The let-7 family negatively regulates Ras

The miRNAs that are encoded by the let-7 family were the first group of oncomirs shown to regulate the expression of an oncogene, specifically the Ras genes. Ras proteins are membrane-associated GTPase signalling proteins that regulate cellular growth and differentiation. About 15–30% of human tumours possess mutations in Ras genes, and activating mutations that result in the increased expression of Ras cause cellular transformation. Therefore, a miRNA that regulates the expression level of these potentially oncogenic proteins is predicted to keep the rate of cellular proliferation in check. The miRNAs that are encoded by the let-7 family, which include 12 human homologues, were implicated as tumour suppressors because they map to fragile sites associated with lung, breast, urothelial and cervical cancers [83]. More direct evidence, presented by Takamizawa et al., showed that transcripts of certain let-7 homologues were significantly downregulated in human lung cancer and that this correlated with a poor prognosis [81]. These studies further indicate that let-7 could be used diagnostically, as patients with non-small-cell lung carcinomas who expressed lower levels of let-7 had a poorer prognosis and shortened post-operative survival. In vitro tissue-culture experiments with a human lung adenoma cell line that showed that transient delivery of let-7 can inhibit cellular proliferation also indicates that let-7 probably is a tumour-suppressor gene in lung tissue. Therefore, let-7 could be used therapeutically to treat lung cancer [81].

Clues to how the let-7 family controls cellular proliferation came from studies in C. elegans in our laboratory. We showed that certain members of the let-7 family genetically interact with oncogenic Ras and that the let-7 family and Ras are reciprocally expressed. Moreover, the 3' UTR of Ras genes contains multiple complementary sites for the let-7 family [60, 82]. We also found that let-7 negatively regulates Ras in human cells. Overexpression of let-7 in human cancer cell lines results in decreased levels of Ras compared with untreated cells. Conversely, the depletion of RNA levels of let-7 in human cancer cell lines that normally express high levels leads to a marked increase in Ras protein expression [82]. We also provided evidence that let-7 directly controls Ras expression through 3'-UTR-mediated repression in human cells. Reporter constructs that contain Ras 3' UTRs were downregulated at the translational level by let-7, and let-7 inhibitors could reverse this repression. Furthermore, when comparing lung tumours to normal adjacent cells taken from patients with squamous-cell carcinoma of the lung, let-7 and Ras genes were reciprocally expressed: let-7 homologues were downregulated in the tumours, whereas Ras was highly expressed.

Taken together, these studies indicate that let-7 is a promising therapeutic agent to treat lung cancers caused by activating mutations in Ras genes. Interestingly, repression of let-7 might be a unique characteristic of lung cancer progression. Analysis of the expression of let-7 in 21 different cancer patients, 12 of whom suffered from lung cancer, revealed that let-7 was markedly reduced in all lung cancer samples but was only sporadically decreased in other tumour types. In support of this finding, microarray analysis of the expression profile of 167 miRNAs in lung tumours showed that most miRNA genes were not dramatically modulated in lung cancer [82].

miRNAs associated with the MYC oncogene

The MYC oncogene, which encodes a basic helix-loop-helix transcription factor, is often mutated or amplified in human cancers and has been shown to function as an important regulator of cell growth owing to its ability to induce both cell proliferation and apoptosis [102]. Interestingly, there seems to be a close relationship between miRNAs and the increased expression of MYC, and this leads to the development of B-cell malignancies. For example, an aggressive B-cell leukaemia occurs when MYC is translocated into the mir-142 locus. This t(8;17) translocation places MYC just downstream of the miRNA hairpin sequences and under the control of the miRNA promoter [41]. Loss of a conserved region of about 20 nucleotides, which is downstream of the mir-142 precursor, on MYC translocation is thought to disrupt miRNA processing, leading to the increased expression of MYC and the transformation of B cells.

Another miRNA, miR-155, has also been linked with MYC overexpression and B-cell cancers. This miRNA is encoded by nucleotides 241–262 of BIC. This gene was initially identified as a common integration site for the avian leukosis virus and was found to be overexpressed in B-cell lymphomas [103, 104]. For years, researchers were puzzled as to how an RNA that was presumably not protein-coding, and was poorly conserved between avian, mouse and human genomes, could promote lymphomas in cells that also overexpressed MYC. Metzler et al. found that the only phylogenetically conserved region within BIC spans 138 nucleotides and encodes the hairpin region of mir-155 (Ref. 105). This group then showed that miR-155 expression is upregulated 100-fold in paediatric Burkitt lymphoma, and other studies showed increased miR-155 levels in Hodgkin lymphoma and in primary mediastinal and diffuse large-B-cell lymphomas with activated rather than germinal-centre phenotypes [106, 107, 108]. Therefore, it seems that mir-155 can function as an oncogene in cooperation with MYC, whereas it normally functions during B-cell selection and possibly targets genes that antagonize the MYC pathway.

miR-155 has also been reported to be upregulated in breast carcinomas, which indicates that there are further roles for this gene outside of the haematopoietic system [84]. Furthermore, the organization of the mir-155/BIC gene is reminiscent of the mir-15a and mir-16-1 genes, which are encoded within the intron of the non-protein-coding LEU2 gene, as well as the C13orf25 gene, which contains the mir-17–92 cluster that is described below. However, the significance of a non-protein-coding RNA harbouring miRNAs within a transcript and being linked to oncogenesis is unclear.

Two recent papers from He et al. and O'Donnell et al. describe a more direct relationship between miRNAs, MYC and cancer [109, 110]. The 13q31 locus is preferentially amplified in cancers such as diffuse large-B-cell lymphoma, follicular lymphoma, mantle cell lymphoma and primary cutaneous B-cell lymphoma. However, the only gene that has been found to be upregulated within this amplicon is a non-protein-coding RNA, C13orf25 (Ref. 11). This transcript was shown to encode the mir-17–92 cluster, which includes seven miRNAs: miR-17-5p, miR-17-3p, miR-18a, miR-19a, miR-20a, miR-19b-1, and miR-92-1. He and colleagues analysed cell lines carrying an amplification of 13q31 for the expression of 191 miRNAs and found that 6 miRNAs had increased expression, which corresponded to more copies of C13orf25, and 5 of these belonged to the mir-17–92 cluster [109]. This group then showed that the pri-miRNA for the mir-17–92 cluster was upregulated in 65% of B-cell lymphoma samples that were tested. They therefore postulated that increased expression of this cluster contributes to cancer formation.

To test this directly, the researchers overexpressed the mir-17–19b-1 cluster (the vertebrate-specific portion of the mir-17–92 cluster) using a retroviral system in haematopoietic stem cells (HSCs) that had been isolated from mice carrying the Myc transgene. Wild-type mice were given a sublethal dose of radiation to wipe out the bone marrow and were then transplanted with the retrovirally transduced HSCs. Irradiated animals that received HSCs overexpressing both Myc and the mir-17–19b-1 cluster developed malignant lymphomas faster (~51 days) than those animals that received HSCs expressing Myc alone (3–6 months). Interestingly, similar experiments that used HSCs overexpressing Myc in combination with either 96 unrelated, single miRNAs or any individual miRNA of the mir-17–19b-1 cluster did not show accelerated onset of disease. Lymphomas that resulted from the increased expression of both MYC and mirRNAs from the mir-17–19b-1 cluster had increased cell proliferation and lower levels of cell death in comparison with latent malignancies that arose from increased MYC expression levels alone, which underwent extensive apoptosis.

These experiments indicate that miRNAs within the truncated mir-17–19b-1 cluster function cooperatively as oncogenes, possibly by targeting apoptotic factors that are activated in response to MYC overexpression. When the brakes of the apoptotic pathway are removed, MYC can induce cells to proliferate uncontrollably, which results in cancer. The oncogenic function of the mir-17–92 cluster is further validated by the fact that miR-19a and miR-92-1 expression levels are increased in cells from patients with B-cell CLL, that miRNAs from the mir-17–92 cluster are overexpressed in lung cancers and that C13orf25 is frequently amplified in alveolar rhabdomyosarcoma and liposarcoma [111, 112, 113, 114, 115, 116].

O'Donnell et al. independently identified the mir-17–92 cluster as a group of potentially cancer-related genes when they carried out a microarray screen of 235 human, mouse and rat miRNAs to identify miRNAs that were modulated in a human B-cell line, P493-6, that overexpresses MYC [110]. This study showed that MYC induces the expression of the mir-17–92 cluster, and chromatin immunoprecipitation experiments revealed that MYC binds within the first intron of C13orf25, which implies that MYC directly regulates the mir-17–92 pri-miRNA transcript. The next step was to identify gene targets of the MYC-regulated mir-17–92 cluster. Previous bioinformatic studies had identified the transcription factor E2F1 as a target of two miRNAs within this cluster — miR-17-5p and miR-20a. E2F1 controls the transition from G1 to S phase of the cell cycle by regulating genes that are involved in DNA replication, cell division and apoptosis [117].

Interestingly, E2F1 is known to function in a reciprocal positive-feedback loop with MYC. O'Donnell et al. found that inhibition of mir-17-5p and mir-20a in a cervical cancer cell line markedly increased E2F1 expression levels without affecting mRNA abundance, which is a hallmark of miRNA-mediated gene repression. Mutations of sites in the E2F1 3' UTR that are complementary to mir-17-5p and mir-20a resulted in increased reporter activity compared with those that result from wild-type constructs. Taken together, these studies show that MYC induces the transcription of both the mir-17–92 cluster and E2F1, and, in turn, these miRNAs negatively regulate the translation of E2F1. Therefore, a model is proposed in which MYC-mediated cell growth is tightly regulated by the mir-17–92 cluster. In the presence of MYC, miRNAs of the mir-17–92 cluster limit the activity of E2F1 and dampen the cell-proliferative effects of MYC by breaking the positive-feedback loop between MYC and E2F1. In this context the mir-17–92 cluster would function as a tumour suppressor, which is in contrast to the findings of He et al. that are discussed above. Consistent with this model, which was proposed by O'Donnell and colleagues, loss of heterozygosity at the 13q31 loci that encodes the mir-17–92 cluster has been reported in hepatocellular carcinomas [118]. However, it has also been reported that although E2F1 drives cellular proliferation, when E2F1 expression levels cross a certain threshold, excessive levels of this protein induce apoptosis [117]. In this context, the negative regulation of E2F1 by miRNAs of the mir-17–92 cluster might function to block the apoptotic activity of E2F1 and stimulate MYC-mediated cellular proliferation, so supporting the model that was proposed by He et al.

The tumour-suppressing and oncogenic nature of the mir-17–92 cluster emphasizes the complexities of cancer progression as well as the intricacies of miRNA-mediated gene regulation. These results might also reflect the fact that a single miRNA can control many unrelated gene targets, resulting in the control of opposing activities such as cellular proliferation and differentiation. Perhaps the ability of the mir-17–92 cluster to function as either tumour suppressors or oncogenes depends on which cell types these miRNAs are expressed in and what tissue-specific target mRNAs are present to be regulated. Future studies might reveal that miRNAs function as key regulators of many cancer-related genes as well as BCL2, Ras and E2F1. In fact, a recent report by Felli et al. described the ability of miR-221 and miR-222 to downregulate the KIT oncogene to modulate erythropoiesis of CD34+ HPCs and inhibit cell growth of an erythroleukaemic TF-1 cell line in a KIT-dependent manner [119]. In support of the regulatory role of the KIT oncogene by miRNAs, He et al. found that patients with papillary thyroid carcinomas showed decreased KIT transcript and protein levels and reciprocally increased levels of miR-221, miR-222, and miR-146 in the tumours, implicating that these miRNAs act as oncogenes in this setting [132]. The study also showed that five out of ten papillary thyroid carcinomas showed point mutations in the KIT loci specifically within the complimentary binding regions for miR-221, miR-222, and miR-146 and therefore altered the miRNA–target interactions in these tumours. More work will need to be done in order to understand how these miRNAs contribute to cancer progression by downregulating the KIT oncogene. Therefore, miRNAs might be powerful drug targets that could be used in a broad range of cancer therapies.

miRNA profiling might aid cancer diagnosis

Northern-blot analyses and miRNA microarrays have been useful in determining tissue-specific 'signatures' of miRNA genes in humans [37, 44, 46, 96, 120, 121, 122, 123, 124, 125, 126, 127, 128]. The distinct miRNA-expression profiles that have been observed in certain organs underscore the importance of miRNAs in stem-cell maintenance and in directing the differentiation of certain cell types during development. Researchers are now using miRNA-expression signatures to classify cancers and to define miRNA markers that might predict favourable prognosis [81, 84, 95, 98, 100, 101, 109, 110, 112].

A recent report from Lu et al. found that the expression profiles of relatively few miRNAs (approx200 genes), were required to accurately classify human cancers [98]. This group designed a novel method, which is based on bead-based flow cytometry, to study the expression of miRNAs in both normal and cancerous tissues. Tumours that originated from various tissues were clustered solely on the basis of their miRNA-expression profiles. This resulted in tumours being grouped according to their embryonic lineage. For example, tumours of endothelial origin such as colon, liver, pancreas and stomach were clustered together, and tumours of haematopoietic origin also clustered together. Interestingly, when the expression profiles of about 16,000 protein-coding mRNA genes were analysed in the same tumour dataset, hierarchical clustering was unable to group tumours in a coherent manner — for example, gastrointestinal-derived tumours could not be grouped together. Therefore, miRNA signatures within tumours reflect their developmental history, a hypothesis that is compatible with the evidence that miRNAs direct tissue-specific developmental functions.

These researchers also compared the miRNA-expression profiles of tumour samples versus normal tissue and found that 129 out of 217 miRNAs had a lower level of expression in tumours regardless of the tissue of origin. Therefore, in a global sense, miRNAs might function to drive cells into a more differentiated state, and the expression profiles of miRNAs in tumours compared with normal tissues might represent the degree of differentiation in those cells. These studies establish miRNAs as 'oncomirs' and imply that abnormalities in miRNA expression might directly result in the de-differentiation of cells, allowing tumour formation to occur.

An established library of miRNA signatures or miRNA-expression profiles, assigned for each class of tumour, might help both the diagnosis and treatment of cancer. These libraries could easily be established as miRNAs can be isolated from formalin-fixed paraffin-embedded archival tissues [120]. The differential expression of certain miRNAs has already been shown to be an accurate predictor of a patient's overall prognosis. From a therapeutic standpoint, miRNA-expression profiling might prove to be a powerful tool for clinicians when defining a treatment regimen for their patients. As proof of principle, Lu et al. found that miRNA signatures could successfully categorize poorly differentiated tumours that were considered histologically non-diagnostic into their appropriate tissue-specific lineages [98].

Future approaches using miRNA therapies

The emergence of miRNAs as important cancer-prevention genes is likely to have a large effect on gene therapies that are designed to block tumour progression. Large-scale expression screens, similar to those described above that compare miRNA levels in tumours versus normal tissues, will be useful in identifying novel miRNAs that are involved in cancer. Also, functional screens that are designed to select miRNA genes that specifically control cancer-related processes such as cell proliferation and apoptosis, similar to those that were conducted by Cheng et al. [99], will also help in this search. In the future, the administration of synthetic anti-sense oligonucleotides that encode sequences that are complementary to mature oncogenic miRNAs — termed anti-miRNA oligonucleotides (AMOs) — might effectively inactivate miRNAs in tumours and slow their growth. In the clinic, miRNA inactivation could be accomplished through frequent or continuous delivery of 2'-O-methyl or locked-nucleic-acid antisense oligonucleotides, which are specifically designed to be more stable and less toxic than other cancer treatments in order to target transforming miRNAs such as mir-155.

The use of antagomirs, which are AMOs that are conjugated with cholesterol, has recently emerged as an effective approach to inhibit miRNA activity in various organs when injected into mice, and might be promising therapeutic agents [129]. Conversely, techniques to overexpress miRNAs that function as tumour suppressors, such as those that are encoded by the let-7 family, could be used to treat specific tumour types. Transient expression systems that use viral or liposomal delivery might be useful approaches for administering large quantities of miRNAs. These techniques would involve expressing the pre-miRNA hairpin and flanking sequences, potentially under the control of tissue-specific promoters, to stimulate the endogenous miRNA machinery to direct proper miRNA processing and gene-targeted repression. However, employing similar methods that use siRNAs as cancer gene therapies have shown that the immune response can limit the effectiveness of RNA delivery [130, 131]. More development of these methods is needed before miRNA treatments can move from the laboratory bench to the bedside. Whether miRNAs become the 'magic bullet' of the future remains to be seen, but research in this area will undoubtedly provide insight into the underlying mechanisms of oncogenesis.

DATABASES

National Cancer Institute

    * breast cancer
    * Burkitt lymphoma
    * cervical cancer
    * colorectal tumours
    * glioblastoma
    * hepatocellular carcinoma
    * Hodgkin lymphoma
    * leukaemia
    * lung cancer
    * multiple myeloma
    * ovarian cancer
    * pancreatic cancer
    * prostate cancer
    * renal tumours
    * stomach cancer
    * testicular cancer
    * urothelial cancer
    * Wilms tumour

Entrez-Gene

    * let-7
    * AGO3
    * AGO1
    * AGO4
    * WT1
    * HIWI
    * piwi
    * bantam
    * miR-14
    * miR-273
    * lys-6
    * miR-181
    * miR-375
    * miR-143
    * mir-125b-1
    * mir-15a
    * mir-16-1
    * LEU2
    * mir-15b
    * mir-16-2
    * BCL2
    * miR-145
    * miR-21
    * MYC
    * mir-142
    * miR-155
    * BIC
    * C13orf25
    * miR-17-5p
    * miR-18a
    * miR-19a
    * miR-20a
    * miR-19b-1
    * miR-92-1
    * miR-221
    * miR-222
    * KIT

UniProtKB

    * Drosha
    * Pasha
    * exportin 5
    * Dicer
    * E2F1

FURTHER INFORMATION

    * Frank Slack's homepage
    * Human Genome Resource
    * miRBase
    * miRScan
    * miRanda
    * TargetScan

Acknowledgements

We thank Helge Grosshans and Diya Banerjee for critical reading of the manuscript. F.J.S. is supported by grants from the National Science Foundation and the National Institutes of Health and A.E.-K. is supported by a Ruth L. Kirschstein National Research Service Award Individual Postdoctoral Fellowship.
Competing interests statement:
The authors declare no competing financial interests.

References

   1. Bartel, D. P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281–297 (2004).

      An excellent review of plant and animal miRNAs that discusses how miRNAs differ from siRNAs.

   2. Hannon, G. J. RNA interference. Nature 418, 244–251 (2002).

   3. Llave, C. , Xie, Z. , Kasschau, K. D. & Carrington, J. C. Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis miRNA. Science 297, 2053–2056 (2002).

   4. Palatnik, J. F. et al. Control of leaf morphogenesis by microRNAs. Nature 425, 257–263 (2003).

   5. Tang, G. , Reinhart, B. J. , Bartel, D. P. & Zamore, P. D. A biochemical framework for RNA silencing in plants. Genes Dev. 17, 49–63 (2003).

   6. Yekta, S. , Shih, I. H. & Bartel, D. P. MicroRNA-directed cleavage of HOXB8 mRNA. Science 304, 594–596 (2004).

   7. Carmell, M. A. , Xuan, Z. , Zhang, M. Q. & Hannon, G. J. The Argonaute family: tentacles that reach into RNAi, developmental control, stem cell maintenance, and tumorigenesis. Genes Dev. 16, 2733–2742 (2002).

   8. Lee, R. C. , Feinbaum, R. L. & Ambros, V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 75, 843–854 (1993).

   9. Wightman, B. , Ha, I. & Ruvkun, G. Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans. Cell 75, 855–862 (1993).

  10. Olsen, P. H. & Ambros, V. The lin-4 regulatory RNA controls developmental timing in Caenorhabditis elegans by blocking LIN-14 protein synthesis after the initiation of translation. Dev. Biol. 216, 671–680 (1999).

  11. Ambros, V. Control of developmental timing in Caenorhabditis elegans. Curr. Opin. Genet. Dev. 10, 428–433 (2000).

  12. Reinhart, B. et al. The 21 nucleotide let-7 RNA regulates C. elegans developmental timing. Nature 403, 901–906 (2000).

  13. Slack, F. J. et al. The lin-41 RBCC gene acts in the C. elegans heterochronic pathway between the let-7 regulatory RNA and the lin-29 transcription factor. Mol. Cell 5, 659–669 (2000).

  14. Pasquinelli, A. E. & Ruvkun, G. Control of developmental timing by micrornas and their targets. Annu. Rev. Cell Dev. Biol. 18, 495–513 (2002).

  15. Abrahante, J. E. et al. The Caenorhabditis eleganshunchback-like gene lin-57/hbl-1 controls developmental time and is regulated by microRNAs. Dev. Cell 4, 625–637 (2003).

  16. Lin, S. Y. et al. The C. elegans hunchback homolog, hbl-1, controls temporal patterning and is a probable microRNA target. Dev. Cell 4, 639–650 (2003).

  17. Brennecke, J. , Hipfner, D. R. , Stark, A. , Russell, R. B. & Cohen, S. M. bantam encodes a developmentally regulated microRNA that controls cell proliferation and regulates the proapoptotic gene hid in Drosophila. Cell 113, 25–36 (2003).

  18. Pillai, R. S. et al. Inhibition of translational initiation by let-7 microRNA in human cells. Science 309, 1573–1576 (2005).

  19. Bagga, S. et al. Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation. Cell 122, 553–563 (2005).

  20. Lim, L. P. et al. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 433, 769–773 (2005).

  21. Lee, Y. , Jeon, K. , Lee, J. T. , Kim, S. & Kim, V. N. MicroRNA maturation: stepwise processing and subcellular localization. EMBO J. 21, 4663–4670 (2002).

  22. Basyuk, E. , Suavet, F. , Doglio, A. , Bordonne, R. & Bertrand, E. Human let-7 stem-loop precursors harbor features of RNase III cleavage products. Nucleic Acids Res. 31, 6593–6597 (2003).

  23. Lee, Y. et al. The nuclear RNase III Drosha initiates microRNA processing. Nature 425, 415–419 (2003).

  24. Zeng, Y. & Cullen, B. R. Sequence requirements for microRNA processing and function in human cells. RNA 9, 112–123 (2003).

  25. Gregory, R. I. et al. The Microprocessor complex mediates the genesis of microRNAs. Nature 432, 235–240 (2004).

  26. Lee, Y. S. et al. Distinct roles for Drosophila Dicer-1 and Dicer-2 in the siRNA/miRNA silencing pathways. Cell 117, 69–81 (2004).

  27. Cai, X. , Hagedorn, C. H. & Cullen, B. R. Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs. RNA 10, 1957–1966 (2004).

  28. Denli, A. M. , Tops, B. B. , Plasterk, R. H. , Ketting, R. F. & Hannon, G. J. Processing of primary microRNAs by the Microprocessor complex. Nature 432, 231–235 (2004).

  29. Lund, E. , Guttinger, S. , Calado, A. , Dahlberg, J. E. & Kutay, U. Nuclear export of microRNA precursors. Science 303, 95–98 (2004).

  30. Yi, R. , Qin, Y. , Macara, I. G. & Cullen, B. R. Exportin-5 mediates the nuclear export of pre-microRNAs and short hairpin RNAs. Genes Dev. 17, 3011–3016 (2003).

  31. Bohnsack, M. T. , Czaplinski, K. & Gorlich, D. Exportin 5 is a RanGTP-dependent dsRNA-binding protein that mediates nuclear export of pre-miRNAs. RNA 10, 185–191 (2004).

  32. Grishok, A. et al. Genes and mechanisms related to RNA interference regulate expression of small temporal RNAs that control C. elegans developmental timing. Cell 106, 23–34 (2001).

  33. Hutvagner, G. et al. A cellular function for the RNA-interference enzyme Dicer in the maturation of the let-7 small temporal RNA. Science 293, 834–838 (2001).

  34. Ketting, R. F. et al. Dicer functions in RNA interference and in synthesis of small RNA involved in developmental timing in C. elegans. Genes Dev. 15, 2654–2659 (2001).

  35. Feinbaum, R. & Ambros, V. The timing of lin-4 RNA accumulation controls the timing of postembryonic developmental events in Caenorhabditis elegans. Dev. Biol. 210, 87–95 (1999).

  36. Ambros, V. & Horvitz, H. R. Heterochronic mutants of the nematode Caenorhabditis elegans. Science 226, 409–416 (1984).

  37. Pasquinelli, A. , Reinhart, B. , Slack, F. , Maller, B. & Ruvkun, G. Conservation across animal phylogeny of the sequence and temporal regulation of the 21 nucleotide C. elegans let-7 heterochronic regulatory RNA. Nature 408, 86–89 (2000).

  38. Lagos-Quintana, M. , Rauhut, R. , Lendeckel, W. & Tuschl, T. Identification of novel genes coding for small expressed RNAs. Science 294, 853–858 (2001).

  39. Lau, N. C. , Lim, L. P. , Weinstein, E. G. & Bartel, D. P. An abundant class of tiny RNAs with probable regulatory roles in Caenorhabditis elegans. Science 294, 858–862. (2001).

  40. Lee, R. C. & Ambros, V. An extensive class of small RNAs in Caenorhabditis elegans. Science 294, 862–864 (2001).

  41. Lagos-Quintana, M. et al. Identification of tissue-specific microRNAs from mouse. Curr. Biol. 12, 735–739 (2002).

  42. Aravin, A. A. et al. The small RNA profile during Drosophila melanogaster development. Dev. Cell 5, 337–350 (2003).

  43. Johnston, R. J. & Hobert, O. A microRNA controlling left/right neuronal asymmetry in Caenorhabditis elegans. Nature 426, 845–849 (2003).

  44. Lagos-Quintana, M. , Rauhut, R. , Meyer, J. , Borkhardt, A. & Tuschl, T. New microRNAs from mouse and human. RNA 9, 175–179 (2003).

  45. Lai, E. C. , Tomancak, P. , Williams, R. W. & Rubin, G. M. Computational identification of Drosophila microRNA genes. Genome Biol. 4, R42 (2003).

  46. Lim, L. P. , Glasner, M. E. , Yekta, S. , Burge, C. B. & Bartel, D. P. Vertebrate microRNA genes. Science 299, 1540 (2003).

  47. Lim, L. P. et al. The microRNAs of Caenorhabditis elegans. Genes Dev. 17, 991–1008 (2003).

  48. Sempere, L. F. , Sokol, N. S. , Dubrovsky, E. B. , Berger, E. M. & Ambros, V. Temporal regulation of microRNA expression in Drosophila melanogaster mediated by hormonal signals and Broad–Complex gene activity. Dev. Biol. 259, 9–18 (2003). doi:10.1038/nrc1631

  49. Xu, P. , Vernooy, S. Y. , Guo, M. & Hay, B. A. The Drosophila microRNA mir-14 suppresses cell death and is required for normal fat metabolism. Curr. Biol. 13, 790–795 (2003).

  50. Chang, S. , Johnston, R. J. Jr , Frokjaer-Jensen, C. , Lockery, S. & Hobert, O. MicroRNAs act sequentially and asymmetrically to control chemosensory laterality in the nematode. Nature 430, 785–789 (2004).

  51. Berezikov, E. et al. Phylogenetic shadowing and computational identification of human microRNA genes. Cell 120, 21–24 (2005).

  52. Bentwich, I. et al. Identification of hundreds of conserved and nonconserved human microRNAs. Nature Genet. 37, 766–770 (2005).

  53. Rodriguez, A. , Griffiths-Jones, S. , Ashurst, J. L. & Bradley, A. Identification of mammalian microRNA host genes and transcription units. Genome Res. 14, 1902–1910 (2004).

  54. Baskerville, S. & Bartel, D. P. Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA 11, 241–247 (2005).

  55. Khvorova, A. , Reynolds, A. & Jayasena, S. D. Functional siRNAs and miRNAs exhibit strand bias. Cell 115, 209–216 (2003).

  56. Schwarz, D. S. et al. Asymmetry in the assembly of the RNAi enzyme complex. Cell 115, 199–208 (2003).

  57. Doench, J. G. & Sharp, P. A. Specificity of microRNA target selection in translational repression. Genes Dev. 18, 504–511 (2004).

  58. Vella, M. C. , Choi, E. Y. , Lin, S. Y. , Reinert, K. & Slack, F. J. The C. elegans microRNA let-7 binds to imperfect let-7 complementary sites from the lin-41 3' UTR. Genes Dev. 18, 132–137 (2004).

  59. Brennecke, J. , Stark, A. , Russell, R. B. & Cohen, S. M. Principles of microRNA-target recognition. PLoS Biol. 3, e85 (2005).

  60. Grosshans, H. , Johnson, T. , Reinert, K. L. , Gerstein, M. & Slack, F. J. The temporal patterning microRNA let-7 regulates several transcription factors at the larval to adult transition in C. elegans. Dev. Cell 8, 321–330 (2005).

  61. Krek, A. et al. Combinatorial microRNA target predictions. Nature Genet. 37, 495–500 (2005).

  62. Rehmsmeier, M. , Steffen, P. , Hochsmann, M. & Giegerich, R. Fast and effective prediction of microRNA/target duplexes. RNA 10, 1507–1517 (2004).

  63. John, B. et al. Human microRNA targets. PLoS Biol. 2, e363 (2004).

  64. Kiriakidou, M. et al. A combined computational–experimental approach predicts human microRNA targets. Genes Dev. 18, 1165–1178 (2004).

  65. Enright, A. J. et al. MicroRNA targets in Drosophila. Genome Biol. 5, R1 (2003).

  66. Rajewsky, N. & Socci, N. D. Computational identification of microRNA targets. Dev. Biol. 267, 529–535 (2004).

  67. Stark, A. , Brennecke, J. , Russell, R. B. & Cohen, S. M. Identification of Drosophila microRNA targets. PLoS Biol. 1, E60 (2003).

  68. Lewis, B. P. , Shih, I. H. , Jones-Rhoades, M. W. , Bartel, D. P. & Burge, C. B. Prediction of mammalian microRNA targets. Cell 115, 787–798 (2003).

  69. Vella, M. C. , Reinert, K. & Slack, F. J. Architecture of a validated microRNA::target interaction. Chem. Biol. 11, 1619–1623 (2004).

  70. Hobert, O. Common logic of transcription factor and microRNA action. Trends Biochem. Sci. 29, 462–468 (2004).

  71. Karube, Y. et al. Reduced expression of Dicer associated with poor prognosis in lung cancer patients. Cancer Sci. 96, 111–115 (2005).

  72. Kanellopoulou, C. et al. Dicer-deficient mouse embryonic stem cells are defective in differentiation and centromeric silencing. Genes Dev. 19, 489–501 (2005).

  73. Fukagawa, T. et al. Dicer is essential for formation of the heterochromatin structure in vertebrate cells. Nature Cell Biol. 6, 784–791 (2004).

  74. Bernstein, E. et al. Dicer is essential for mouse development. Nature Genet. 35, 215–217 (2003).

  75. Harfe, B. D. , McManus, M. T. , Mansfield, J. H. , Hornstein, E. & Tabin, C. J. The RNaseIII enzyme Dicer is required for morphogenesis but not patterning of the vertebrate limb. Proc. Natl Acad. Sci. USA 102, 10898–10903 (2005).

  76. Muljo, S. A. et al. Aberrant T cell differentiation in the absence of Dicer. J. Exp. Med. 202, 261–269 (2005).

  77. Yang, W. J. et al. Dicer is required for embryonic angiogenesis during mouse development. J. Biol. Chem. 280, 9330–9335 (2005).

  78. Nelson, P. , Kiriakidou, M. , Sharma, A. , Maniataki, E. & Mourelatos, Z. The microRNA world: small is mighty. Trends Biochem. Sci. 28, 534–540 (2003).

  79. Qiao, D. , Zeeman, A. M. , Deng, W. , Looijenga, L. H. & Lin, H. Molecular characterization of hiwi, a human member of the piwi gene family whose overexpression is correlated to seminomas. Oncogene 21, 3988–3999 (2002).

  80. Lee, Y. S. , Kim, H. K. , Chung, S. , Kim, K. S. & Dutta, A. Depletion of human micro-RNA miR-125b reveals that it is critical for the proliferation of differentiated cells but not for the down-regulation of putative targets during differentiation. J. Biol. Chem. 280, 16635–16641 (2005).

  81. Takamizawa, J. et al. Reduced expression of the let-7 microRNAs in human lung cancers in association with shortened postoperative survival. Cancer Res. 64, 3753–3756 (2004).

      Describes a strong correlation between expression levels of members of the let-7 family and post-operative survival in patients with lung cancer, and therefore supports the notion that let-7 family members function as tumour suppressors. The addition of let-7 RNA to cancer cells in vitro decreases their growth rate.

  82. Johnson, S. M. et al. RAS is regulated by the let-7 microRNA family. Cell 120, 635–647 (2005).

      Implicates a tumour-suppressor role for the let-7 family by directly regulating the expression of the Ras oncogenes.

  83. Calin, G. A. et al. Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers. Proc. Natl Acad. Sci. USA 101, 2999–3004 (2004).

      Reveals that half the annotated human miRNAs are associated with cancer.

  84. Iorio, M. V. et al. MicroRNA gene expression deregulation in human breast cancer. Cancer Res. 65, 7065–7070 (2005).

  85. Sonoki, T. , Iwanaga, E. , Mitsuya, H. & Asou, N. Insertion of microRNA-125b-1, a human homologue of lin-4, into a rearranged immunoglobulin heavy chain gene locus in a patient with precursor B-cell acute lymphoblastic leukemia. Leukemia 19, 2009–2010 (2005).

  86. Hipfner, D. R. , Weigmann, K. & Cohen, S. M. The bantam gene regulates Drosophila growth. Genetics 161, 1527–1537 (2002).

  87. Giraldez, A. J. et al. MicroRNAs regulate brain morphogenesis in zebrafish. Science 308, 833–838 (2005).

  88. Chen, C. Z. , Li, L. , Lodish, H. F. & Bartel, D. P. MicroRNAs modulate hematopoietic lineage differentiation. Science 303, 83–86 (2004).

  89. Poy, M. N. et al. A pancreatic islet-specific microRNA regulates insulin secretion. Nature 432, 226–230 (2004).

  90. Esau, C. et al. MicroRNA-143 regulates adipocyte differentiation. J. Biol. Chem. 279, 52361–52365 (2004).

  91. Hornstein, E. et al. The microRNA miR-196 acts upstream of Hoxb8 and Shh in limb development. Nature 438, 671–674 (2005).

  92. Zhao, Y. , Samal, E. & Srivastava, D. Serum response factor regulates a muscle-specific microRNA that targets Hand2 during cardiogenesis. Nature 436, 214–220 (2005).

  93. Calin, G. A. et al. Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc. Natl Acad. Sci. USA 99, 15524–15529 (2002).

      The first report to correlate the mis-expression of miRNAs with cancer.

  94. Cimmino, A. et al. miR-15 and miR-16 induce apoptosis by targeting BCL2. Proc. Natl Acad. Sci. USA 102, 13944–13949 (2005).

      Provides evidence that mir-15a and mir-16-1 negatively regulate the BCL2 oncogene.

  95. Calin, G. A. et al. A microRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. N. Engl. J. Med. 353, 1793–1801 (2005).

  96. Liu, C. G. et al. An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues. Proc. Natl Acad. Sci. USA 101, 9740–9744 (2004).

  97. Michael, M. Z. , O'Connor, S. M. , van Holst Pellekaan, N. G. , Young, G. P. & James, R. J. Reduced accumulation of specific microRNAs in colorectal neoplasia. Mol. Cancer Res. 1, 882–891 (2003).

      Reveals that mir-143 and mir-145 RNA levels are often reduced in colorectal cancer.

  98. Lu, J. et al. MicroRNA expression profiles classify human cancers. Nature 435, 834–838 (2005).

      Shows that miRNA expression profiles can cluster similar tumour types together more accurately than the expression profiles of protein-coding mRNA genes.

  99. Cheng, A. M. , Byrom, M. W. , Shelton, J. & Ford, L. P. Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis. Nucleic Acids Res. 33, 1290–1297 (2005).

 100. Ciafre, S. A. et al. Extensive modulation of a set of microRNAs in primary glioblastoma. Biochem. Biophys. Res. Commun. 334, 1351–1358 (2005).

 101. Chan, J. A. , Krichevsky, A. M. & Kosik, K. S. MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells. Cancer Res. 65, 6029–6033 (2005).

      Describes a novel miRNA that functions as an oncogene by modulating the apoptotic pathway.

 102. Pelengaris, S. , Khan, M. & Evan, G. I. Suppression of Myc-induced apoptosis in beta cells exposes multiple oncogenic properties of Myc and triggers carcinogenic progression. Cell 109, 321–334 (2002).

 103. Clurman, B. E. & Hayward, W. S. Multiple proto-oncogene activations in avian leukosis virus-induced lymphomas: evidence for stage-specific events. Mol. Cell. Biol. 9, 2657–2664 (1989).

 104. Tam, W. , Ben-Yehuda, D. & Hayward, W. S. bic, a novel gene activated by proviral insertions in avian leukosis virus-induced lymphomas, is likely to function through its noncoding RNA. Mol. Cell. Biol. 17, 1490–1502 (1997).

 105. Metzler, M. , Wilda, M. , Busch, K. , Viehmann, S. & Borkhardt, A. High expression of precursor microRNA-155/BIC RNA in children with Burkitt lymphoma. Genes Chromosomes Cancer 39, 167–169 (2004).

      Identifies an miRNA that resides in the BIC gene, a non-coding RNA that has been found to be preferentially upregulated in Hodgkin lymphoma.

 106. Eis, P. S. et al. Accumulation of miR-155 and BIC RNA in human B cell lymphomas. Proc. Natl Acad. Sci. USA 102, 3627–3632 (2005).

 107. Kluiver, J. et al. BIC and miR-155 are highly expressed in Hodgkin, primary mediastinal and diffuse large B cell lymphomas. J. Pathol. 207, 243–249 (2005).

 108. van den Berg, A. et al. High expression of B-cell receptor inducible gene BIC in all subtypes of Hodgkin lymphoma. Genes Chromosomes Cancer 37, 20–28 (2003).

 109. He, L. et al. A microRNA polycistron as a potential human oncogene. Nature 435, 828–833 (2005).

      Shows that the mir-17–92 cluster works together with MYC and accelerates tumour progression in a B-cell lymphoma model.

 110. O'Donnell, K. A. , Wentzel, E. A. , Zeller, K. I. , Dang, C. V. & Mendell, J. T. c-Myc-regulated microRNAs modulate E2F1 expression. Nature 435, 839–843 (2005).

      Reveals that the MYC oncogene induces the expression of the mir-17–92 cluster, and, in turn, the mir-17–92 cluster negatively regulates the MYC-target gene, E2F1, revealing a complex genetic circuit that tightly controls cellular proliferation.

 111. Ota, A. et al. Identification and characterization of a novel gene, C13orf25, as a target for 13q31-q32 amplification in malignant lymphoma. Cancer Res. 64, 3087–3095 (2004).

 112. Calin, G. A. et al. MicroRNA profiling reveals distinct signatures in B cell chronic lymphocytic leukemias. Proc. Natl Acad. Sci. USA 101, 11755–11760 (2004).

 113. Tagawa, H. & Seto, M. A microRNA cluster as a target of genomic amplification in malignant lymphoma. Leukemia 19, 2013–2016 (2005).

 114. Gordon, A. T. et al. A novel and consistent amplicon at 13q31 associated with alveolar rhabdomyosarcoma. Genes Chromosomes Cancer 28, 220–226 (2000).

 115. Schmidt, H. et al. Gains of 13q are correlated with a poor prognosis in liposarcoma. Mod. Pathol. 18, 638–644 (2005).

 116. Hayashita, Y. et al. A polycistronic microRNA cluster, miR-17-92, is overexpressed in human lung cancers and enhances cell proliferation. Cancer Res. 65, 9628–9632 (2005).

 117. Trimarchi, J. M. & Lees, J. A. Sibling rivalry in the E2F family. Nature Rev. Mol. Cell Biol. 3, 11–20 (2002).

 118. Lin, Y. W. et al. Loss of heterozygosity at chromosome 13q in hepatocellular carcinoma: identification of three independent regions. Eur. J. Cancer 35, 1730–1734 (1999).

 119. Felli, N. et al. MicroRNAs 221 and 222 inhibit normal erythropoiesis and erythroleukemic cell growth via kit receptor down-modulation. Proc. Natl Acad. Sci. USA 102, 18081–18086 (2005).

 120. Nelson, P. T. et al. Microarray-based, high-throughput gene expression profiling of microRNAs. Nature Methods 1, 155–161 (2004).

 121. Thomson, J. M. , Parker, J. , Perou, C. M. & Hammond, S. M. A custom microarray platform for analysis of microRNA gene expression. Nature Methods 1, 47–53 (2004).

 122. Krichevsky, A. M. , King, K. S. , Donahue, C. P. , Khrapko, K. & Kosik, K. S. A microRNA array reveals extensive regulation of microRNAs during brain development. RNA 9, 1274–1281 (2003).

 123. Miska, E. A. et al. Microarray analysis of microRNA expression in the developing mammalian brain. Genome Biol. 5, R68 (2004).

 124. Sempere, L. F. et al. Expression profiling of mammalian microRNAs uncovers a subset of brain-expressed microRNAs with possible roles in murine and human neuronal differentiation. Genome Biol. 5, R13 (2004).

 125. Smirnova, L. et al. Regulation of miRNA expression during neural cell specification. Eur. J. Neurosci. 21, 1469–1477 (2005).

 126. Sun, Y. et al. Development of a micro-array to detect human and mouse microRNAs and characterization of expression in human organs. Nucleic Acids Res. 32, e188 (2004).

 127. Monticelli, S. et al. MicroRNA profiling of the murine hematopoietic system. Genome Biol. 6, R71 (2005).

 128. Babak, T. , Zhang, W. , Morris, Q. , Blencowe, B. J. & Hughes, T. R. Probing microRNAs with microarrays: tissue specificity and functional inference. RNA 10, 1813–1819 (2004).

 129. Krutzfeldt, J. et al. Silencing of microRNAs in vivo with 'antagomirs'. Nature vol. 438, no. 7068, pp. 685–689 (Dec. 2005).

Tailored antisense microRNA molecules decrease the in vivo activity of corresponding sense microRNAs.


 130. Izquierdo, M. Short interfering RNAs as a tool for cancer gene therapy. Cancer Gene Ther. 12, 217–227 (2005).

 131. Gleave, M. E. & Monia, B. P. Antisense therapy for cancer.  Nature Rev. Cancer vol. 5, no. 6, pp. 468–479 (June, 2005).

Antisense of RNA and/or DNA type may be effective against human neoplastic cells.

 132. He, H. et al. The role of microRNA genes in papillary thyroid carcinoma. Proc. Natl Acad. Sci. USA 102, 19075–19080 (2005).




NetworkEditor's Perspective: microRNAs suppress and/or provoke Human neoplasms.

In this extensive review by Aurora Esquela-Kerscher and Frank J. Slack, the authors help us discover the diversity of functions of microRNAs within human neoplasms. One of the earliest microRNAs, let-7 microRNA, belongs to a family of embryologic riboregulators which promote cell differentiation in C. elegens, are reduced in human lung cancer, and which decrease the activity of lung cancer cells when added to human lung tumour cell lines in vitro. Dr. Slack's laboratory has shown that let-7 microRNAs directly antagonize the activity of the Ras oncogene in human cells, with high levels of let-7 microRNA resulting in low levels of Ras, and vice versa.

Conversely, another large family of miR-155 microRNAs are closely associated with the activity of the Myc oncogene in a positive relationship, high levels of miR-155 RNA being necessary for the full oncogenic effects of MYC in human B-cell lymphomas and leukemias, and with reductions of miR-155 RNA resulting in a reversal of MYC oncogenesis.

These early results are strongly suggestive of important diverse roles for microRNAs within human neoplasms.

Many questions arise:

Is human lung cancer merely a deficiency disease due to the lack of let-7 RNA within lung cells ?
Can the replenishment of let-7 RNA result in the regression or even the prevention of human lung cancer ?
Is human cancer merely a failure to achieve and/or maintain cell differentiation ?
Is it necessary to reverse the secondary genetic and chromosomal defects within human cancer cells ?
Or, is let-7 RNA restoration in human lung cells a sufficient therapeutic goal in lung cancer patients ?

In 1963, Dr. Sergio DeCarvalho effected cytological remissions of acute myelocytic leukemias in 3 otherwise untreated patients by the repeated intra-marrow infusions of normal total marrow cell RNA obtained from normal donors. Were these the first recorded human cancer responses to RNA therapy ?

Let us proceed, with caution, and with hope.

1. DeCarvalho S, "Effect of RNA from Normal Human Marrow on Leukaemic Marrow In-Vivo".

2. Frenster JH, and Hovsepian JA, "Activator RNA Exchange during Interphase Chromatin Reprogramming".

3. Takamizawa J, Konishi H, Yanagisawa K, Tomida S, Osada H, Endoh H, Harano T, Yatabe Y, Nagino M, Nimura Y, Mitsudomi T, and Takahashi T, "Reduced Expression of the let-7 MicroRNAs in Human Lung Cancers in Association with Shortened Postoperative Survival".

4. Hovsepian JA, and Frenster JH, "Reprogramming as an Approach to Neoplasms".

5. Eder M, and Scherr M, "MicroRNA and Lung Cancer".

6. Johnson SM, Grosshans H, Shingara J, Byrom M, Jarvis R, Cheng A, Labourier E, Reinert KL, Brown D, and Slack FJ, "RAS Is Regulated by the let-7 MicroRNA Family".

7. Krutzfeldt, J. et al. Silencing of microRNAs in vivo with 'antagomirs'.


RNA and Biological Causality:

A Brief History of Activator RNA.



Further Topics in:  Euchromatin,  active DNA, and  RNA  ribo-regulators:

Links to Euchromatin Activator RNA Reviews:
Links to Euchromatin Activator RNA Research:
Links to Ultrastructural Probes of DNase I-Sensitive Sites:
Links to RNA as a Therapeutic Agent:
Links to Hodgkin Lymphoma Immuno-Pathology:
Links to Activated T-Lymphocyte Immunotherapy:
Links to Medical Systems Biology:
Links to Selective Gene Transcription:
Links to RNA-Induced Epigenetics:
Links to RNA-Induced Embryogenesis:
Links to RNA and Biological Causality:
Links to Reprogramming and Neoplasia:

"Ultrastructural Probes of Active DNA Sites, and the RNA Activators of DNA".



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euchromatin: "the most active portion of the genome within the cell nucleus".