Literature DB >> 35326459

MicroRNA as a Potential Therapeutic Molecule in Cancer.

Joanna Szczepanek1, Monika Skorupa1,2, Andrzej Tretyn2.   

Abstract

Small noncoding RNAs, as post-translational regulators of many target genes, are not only markers of neoplastic disease initiation and progression, but also markers of response to anticancer therapy. Hundreds of miRNAs have been identified as biomarkers of drug resistance, and many have demonstrated the potential to sensitize cancer cells to therapy. Their properties of modulating the response of cells to therapy have made them a promising target for overcoming drug resistance. Several methods have been developed for the delivery of miRNAs to cancer cells, including introducing synthetic miRNA mimics, DNA plasmids containing miRNAs, and small molecules that epigenetically alter endogenous miRNA expression. The results of studies in animal models and preclinical studies for solid cancers and hematological malignancies have confirmed the effectiveness of treatment protocols using microRNA. Nevertheless, the use of miRNAs in anticancer therapy is not without limitations, including the development of a stable nanoconstruct, delivery method choices, and biodistribution. The aim of this review was to summarize the role of miRNAs in cancer treatment and to present new therapeutic concepts for these molecules. Supporting anticancer therapy with microRNA molecules has been verified in numerous clinical trials, which shows great potential in the treatment of cancer.

Entities:  

Keywords:  drug resistance; metastamiRs; miRNA; miRNA delivery systems; miRNA inhibition therapy; oncomiRs; replacement therapy; tumor suppressor

Mesh:

Substances:

Year:  2022        PMID: 35326459      PMCID: PMC8947269          DOI: 10.3390/cells11061008

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


1. Introduction

MicroRNAs are an abundant class of endogenous small RNA molecules (18–22 nucleotides in length) that are noncoding post-transcriptional modulators of gene expression [1,2,3]. The human genome produces nearly 2000 miRNAs. Approximately 1900 precursors and 2600 mature human miRNA sequences are indexed in the miRBase database (http://www.mirbase.org/, accessed on 25 October 2021) [4]. The majority of miRNAs still await discovery, but some of them may be cancer-specific markers. They regulate gene expression by suppressing mRNA translation, mRNA cleavage, and mRNA decay initiated by miRNA-guided rapid deadenylation and reducing mRNA stability [5,6]. Each miRNA can control hundreds of target genes, so identifying key miRNA targets for cancer research is an important aspect. Research on identifying single or sets of miRNAs, as regulators of cell proliferation and apoptosis processes, is currently one of the most promising areas of research. The role of these molecules is varied (Table 1). Some miRs exert negative control over the expression of many oncoproteins in normal cells, and therefore their deregulation is believed to be a significant mechanism underlying the development and progression of cancer. Due to their role in the process, there are three categories of microRNA: oncogenic miRNAs (oncomiRs), tumor suppressor miRNAs, and metastatic miRNAs (metastamiRs) (Table 1). The consequence of the overexpression of oncomiRs is the initiation, development, progression, and invasion of neoplastic disease. The miRNA classification is not clear, because many of the same miRNAs (e.g., miR-7 [7,8,9], miR-125b [10,11], miR-155 [12,13,14], and miR-30b/30d [15,16]) function as oncogenes and also as tumor suppressor genes [3,17]. This property, however, increases the therapeutic potential of these molecules.
Table 1

Classes of miRNAs in cancer.

ClassesMechanism of RegulationExamples of MoleculesReferences
Metastatic miRNAs(metastamiRs)Significant factors initiating metastasisRegulation of oncogenes, tumor suppressor genes, metastasis genes, cancer stem cell properties, epithelial–mesenchymal transition (EMT), microenvironment, and exosome secretionmiR-7, miR-10b, miR-17/20, miR-19a, miR-34, miR-133a, miR-182, miR-200 family, miR-205 [18,19,20,21]
Oncogenic miRNAs (oncomiRs)Promoting tumor development by negatively inhibiting tumor suppressor genes Controlling the timing of cell differentiation and proliferation, and cell-cycle exitRegulation of the expression of an oncogene, specifically the Ras genesmiR-10b, miR-19a, miR-24, miR-155, miR-181b, let-7 family, miR-17–92 cluster, miR-221/222[12,13,22,23,24,25,26,27,28,29,30]
Tumor suppressor miRNAsInhibition of cancers by regulating oncogenes and/or genes that control cell differentiation or apoptosisTheir targets are oncogenes in cell differentiation, cancer invasion, apoptosis, proliferation, and metastasismiR-35b, miR-145, miR-205, mir-200 family [5,24,31]
In many studies, it has been confirmed that microRNAs play important roles in the pathogenesis of human cancers. Identification of the expression patterns associated with specific tumor cell phenotypes may open new possibilities for the early diagnosis and therapy of cancer. Specific miRs expression patterns were identified for lung [31,32,33,34], breast [18,24,35,36,37], brain [38,39,40,41,42], liver [43,44,45,46,47,48], and colorectal cancer [49,50,51,52,53,54], and leukemia [2,55,56,57,58]. MiRNA signatures can be useful in developing new cancer prevention strategies and also new cancer therapy options. Although the role of miRNA in the pathogenesis of human cancers is proven, the exact mechanisms of regulation of the multiple stages of pathogenesis (initiation, promotion, malignant conversion, progression, and metastasis) are still unknown [5]. MicroRNAs are interesting biomarkers for several reasons, but the most important of them are the different expression patterns associated with the type of cancer, their remarkable stability, and their easy and noninvasive identification due to the presence in the blood and other body fluids [59].

2. MicroRNA’s Correlations with Therapy

The association between changes in the level of microRNA expression and therapy has been demonstrated for several years, including the relationship with drug resistance and modulation of the response to cancer therapy, as well as the development of new cancer therapy regimens and new targeted drugs. However, the introduction of miRNAs into therapy requires a holistic approach that takes into account both the multiplicity of miRs in cancer cells and the interactions of miRNAs with the immune system, tumor stromal cells, cancer therapies, and other factors extrinsic to the cancer cells themselves [17].

2.1. MicroRNA and Drug Resistance

The development of resistance to anticancer drugs is one of the most serious causes of therapy failure. Over the past few decades, this complex and multifactorial process of cancer cells acquiring resistance has been intensively studied, leading to the identification of various genetic biomarkers and mechanisms responsible for the phenomenon. Nevertheless, the interrelationships between specific cancer subtypes as well as the specific biomarkers and disturbances in the molecular pathways are still not fully understood and described. In the context of this research, in recent years, microRNAs have become an object of interest because of their ability to regulate the expression of genes involved in cell responses to drugs. Hundreds of miRNAs have been identified as biomarkers of drug resistance, and many have demonstrated the potential to sensitize cancer cells to therapy. Based on an analysis of their expression signatures, microRNAs playing a role in regulating the sensitivity of cells to anticancer therapy were selected [60,61,62,63,64] (Table 2). As resistance biomarkers, miRNAs can be useful in patient stratification and aid in the individualization of therapy.
Table 2

Marker miRNAs involved in anticancer drug insensitivity mechanisms in human solid tumors.

DrugCancerMicroRNA
CisplatinNon-small-cell lung cancermiR-21 [106,107], miR-107 [108], miR-200c [109], miR-451 [110]
Lung adenocarcinomamiR-27a [111], miRNA-378 [112]
Hepatocellular carcinomamiR-101 [113], miR-130a [114], miR-182 [115], miR-199a-5p [116]
Gastric cancermiR-424 [117], miR-181a-2-3p [118], miR-3180-3p, miR-124-3p [119]
Ovarian cancermiR-21 [120,121], miR-125b, miR-133a [122], miR-15, miR-16 [123]
OsteosarcomamiR-21 [124], miR-16-5p [125]
NeuroblastomamiR-21 [126], miR-141 [127], miR-155 [128]
5-FluorouracilHepatocellular carcinomamiR-193a-3p [129]
Colorectal cancermiR-587 [130], miR-125b-5p [131], miR-375-3p [132], miR-149 [133], miR-135, miR-182 [134], miR-3135b [135]
Gastric cancermiR-204 [136], miR-195 [137], miR-30a [138]
OsteosarcomamiR-140 [139]
Lung cancermiR-27a, miR-27b, miR-134 and miR-582-5p [140]
MethotrexateColorectal adenocarcinomamiR-770-5p [141], miR-24-3p [142], miR-505 [143]
Lung cancermiR-200c [144]
OsteosarcomamiR-494-3p [145], miR-192 [146]
DoxorubicinOvarian cancermiR-146b-5p, miR-205 and miR-875-3p [147]
Gastric cancermiR-494 [148]
Neuroblastoma miR-137 [149,150], miR-99b-5p, miR-380-3p, and miR-485-3p [151]
Breast cancermiR-200b, miR-17 [152], miR-127, miR-34a, miR-27b, miR-206, miR-21, miR-214, miR-28 and miR-451 [70], miR-200c [153]
PaclitaxelOvarian cancermiR-29a, miR-363, miR-18 and miR-20b [147], miR-130a, miR-30c, miR-335, miR-125b and let-7e [154]
Prostate cancermiR-100-5p, miR-200b-3p, miR-34b-3p and miR-375 [155], miR-34a [156,157]
Breast cancermiR-21 [158]
Non-small-cell lung cancermiR-421 [159], miR-199-5a [160]
GefitinibNon-small-cell lung cancermiR-342-3p [161], miR-506-3p [162], miR-34a [163], miR-564 or miR-658 [164]
DocetaxelBreast cancermiRNA-452 [165], miR-34a [166]
Prostate cancermiR-181a [167], miR-21 [168,169], miR-134 [170], miR-200 family [171,172]
Gastric cancermiR-15b, miR-16 [173]
OxaliplatinColon cancermiR-137 [174], miR-519d, miR-545, miR-618 and miR-98 [175]
Colorectal cancermiR-34a, miR-143, miR-153, miR-27a, miR-218, and miR-520 [176]
Hepatocellular carcinomamiR-125b [177]
TopotecanOvarian cancermiR-29a, miR-363, miR-31, miR-18 and miR-20b [147]
Renal cell carcinomamiR-21 [178]
Breast cancermiR-21 [179]
FulvestrantBreast cancerlet-7i, miR-346, miR-638, miR-181a, miR-191, miR-199b, miR-204, miR-211, miR-212, miR-216, miR-328, miR-373, miR-424, miR-768-3p, miR-221/222 [180]
FludarabineLeukemia miR-21 and miR-222 [181], miR-29a, miR-181a, and miR-221 [182], miR-34a [183]
EtoposideNeuroblastomamiR-204 [184], miR-520f [185]
Gastric cancer miR-15b, miR-16 [173]
Lung cancermiR-101 [186]
Breast cancermiR-132-3p [187]
TamoxifenBreast cancermiR-221/222 [188,189], miR-449a [190]
MitoxantronBreast cancermiR-155, miR-206 [191], miR-328 [192]
MicroRNAs are primarily involved in the regulation of the expression of the efflux pumps of the ABC (ATP-binding cassette) transporter family, and thus significantly mediate their participation in the processes of absorption, distribution, and elimination of drugs and the development of resistance to them. By modulating the genes of ABC transporters, microRNAs are involved in the emergence of multidrug resistance, as well as MDR-related mechanisms such as apoptosis, autophagy, drug metabolism, and redox changes [65,66,67]. The P-glycoprotein (P-gp), encoded by the ABCB1 gene, also known as the multidrug-resistance gene (MDR1), is one of the most significant ABC type transporters and is responsible for resistance to a wide range of chemotherapy drugs. It has been experimentally shown that an increased level of P-gp in neoplastic cells may be a consequence of miR-451 and miR-27a overexpression (in the case of MDR and ovarian cancer cell lines) [68,69] or the negative regulatory role of miR-451 (in the case of breast cancer [70], leukemia cell lines [71], and hepatocellular carcinoma [72]). MicroRNAs associated with decreased P-glycoprotein expression have been identified: miR-137 (in the breast cancer cell line MCF-7) [73], miR-145 (in the colon carcinoma cell line Caco-2) [74], miR-200c (in breast cancer cell lines and tissue) [75], miR-223 (in HCC cells resistant to anticancer drugs) [76], miR-298 (in doxorubicin-resistant breast cancer cells [77]) miR-331-5p (in leukemia cell lines) [71], and miR-1253 (in the breast cancer cell line MDA-MB-231) [77]. Regulators responsible for the increase in P-gp expression levels are: miR-27a (in gastric and ovarian cell lines) [70,71], miR-138 (in adriamycin-resistant leukemia cell lines) [78], and miR-451 (in the ovarian cancer cell line A2780) [68]. Regulation of ABCB1 expression may also be associated with regulation of ABCB1 activity; consequently, MDR modulation may also be a consequence of the differential expression of miR-381, miR-495 [79], miR-9 [80], miR-122 [81], miR-873 [82], and miR-508-5p [83]. Markers of miRNAs have also been identified for other members of the ABC transporter family, including ABCG2/BCRP and ABCC1/MRP1 [84]. The consequence of the search for miRNA markers responsible for multidrug resistance in cancer cells is the development of the concept of breaking this resistance. Shang et al. [85] found that controlling the expression of two synergistic miRs, i.e., miR-508-5p and miR-27b, may be of therapeutic benefit in patients with gastric cancer. The study showed that multidrug resistance can be reversed by targeting ABCB1 and ZNRD1. The miR-27b/CCNG1/p53/miR-508-5p axis plays an important role in sensitizing chemoresistant tumors to in vivo and in vitro therapy. Equally promising observations of breaking down the resistance to therapy were made by Bitarte at al. [86] in colorectal cancer stem cells. It has been observed that transfection of the miR-451 precursor leads to a decreased potential for tumorigenicity and self-renewal of colon spheres. The study also showed a decreased level of cyclooxygenase-2 and P-gp, factors that inhibit macrophage migration. On the basis of the obtained results, it was proven that miR-451 can be considered a marker for predicting the response to irinotecan in patients with colon cancer, as a lower expression of miR-451 was characteristic of cells that did not show sensitivity to first-line therapy based on this drug. Pogribny et al. [9] showed the effects of changes in the expression level of miRs on the formation of a cisplatin-resistant phenotype by breast adenocarcinoma cells. The study identified 103 differentially expressed miRs correlated with the MCF-7 cell’s drug resistance. Of these, the largest changes in expression levels were found for miR-146a, miR-10a, miR-221/222, miR-345, miR-200b, and miR-200c. In addition, miR-345 and miR-7 have been shown to suppress drug efflux transporters, including human multidrug resistance-associated protein 1 (MRP1) [9]. These observations are interesting because of the dual nature of miR-7, which functions as both a tumor suppressor [7] and an oncomiR [8] for different types of cancer. Hence, it was noted that the inhibition of miR-7 in cancers for which it is an oncomiR can have a general harmful effect by increasing chemoresistance, despite slowing the growth of cancer cells. One of the most widely reported mechanisms for the regulation of epigenetic expression of genes associated with cisplatin resistance through miRNAs is the ovarian cancer model. For this type of cancer, selected marker microRNAs have been associated with a number of cell pathways and processes towards neoplasm, including abnormalities in the course of apoptosis (miR-27a-5p [87], miR-142-5p [88], miR-146a-5p [89], miR-424-3p [90], and miR-454 [91]), cell cycle disturbances and changes in the DNA repair pathway (miR-770-5p [92,93], miR-98-5p [94], and miR-409-3p [95]), abnormalities in signaling pathways (miR-7 [96], miR-106a [97], miR-205-5p [98], and miR-548e [99]), and also disturbances in the distribution of therapeutic particles as well as intensification and detoxification (miR-139-5p [100], miR-194-5p [101], miR-514 [102], and miR-595 [103]). Numerous in vivo and in vitro studies of ovarian tumor cells have demonstrated the possibility of restoring cisplatin sensitivity through targeted microRNA expression, and thus the effectiveness of chemotherapeutic treatment and patient survival. An example is overcoming resistance to this chemotherapeutic drug using miRNAs targeting ABC transporters. A decrease in the level of ABCB1 expression was made possible by introducing miR-186 [104] or miR-595 [103]. Such modulation towards ABCB1 suppression had an effect on the inhibition of tumor cell proliferation, metastasis, and drug resistance. A similar effect was observed for miR-130a [105] and miR-873 [82]. A slightly broader spectrum of influence was demonstrated for miR-514, which, through changes in the expression of ABCA1, ABCA10, and ABCF2 genes, inhibited the proliferation of ovarian cancer cells and increased sensitivity to cisplatin [102]. The relationship between changes in microRNA expression and the resistance of cancer cells to cisplatin was also demonstrated in the case of many solid and hematological cancers (Table 2). Marker miRNAs involved in anticancer drug insensitivity mechanisms in human solid tumors. Activation of multidrug resistance is one of the factors of insensitivity to cancer cell therapy. The following are also responsible for the chemoresistance phenotype: abnormalities in autophagic induction (vesicle nucleation, vesicle elongation); changes in the activity of enzymes responsible for drug metabolism (P450 superfamily (CYP) metabolic enzymes); disturbances in the DNA repair pathway, cell cycle, and apoptosis; and changes in the levels of expression of drug targets [84]. Each of these factors has been experimentally shown to be modulated by microRNAs. The effectiveness of anticancer therapy is largely dependent on the proper metabolism of drugs, which is the responsibility of the P450 superfamily, the expression of which is regulated by microRNAs [193]. The results of in vitro and in silico analyses have indicated that as many as 56 CYP enzymes can be regulated by miRNAs [194], directly (by affecting the mRNA of the target cytochrome) or indirectly (by interacting with nuclear receptors (NRs), the constitutive androstane receptor (CAR), or vitamin D receptors) [195]. Cytochromes differ significantly in their extent of regulation, and the length of the mRNA 3′UTR is one of the reasons for this. Enzymes such as CYP1A1, 1A2, 1B1, 2B6, and 3A4 are the target of numerous miRNAs. In turn, CYP2A6, 2D6, 2E1, and 3A5 are regulated by a few specific miRNAs [196]. Among the regulators of the cytochrome superfamily, studies have mentioned miR-214-3p, miR-552, miR-570, and miR-378a-5p [193], and miR-378* for CYP2E1 [197]; miR-892a for CYP1A1 [198]; let-7b for CYP2J2 [199]; and miR-27a/b [195,200], miR-627 [201], miR-122, miR-378a-5p [202], and miR-148a [203] for CYP3A4. One of the better described mechanisms of regulation is the interaction between miR-27b and CYP1B1 mRNA, which is responsible for the metabolism of a wide range of drugs. Low expression of this microRNA contributes to the overexpression of CYP1B1 and thus the induction of resistance to a chemotherapeutic agent (e.g., docetaxel in breast, colon, lung, or pancreatic carcinoma cells) [204,205]. These observations prompted attempts to sensitize cancer cells to drugs by reducing the detoxification of drugs metabolized by CYP1B1 by activating p53-dependent apoptosis [206]. In their experiment, Tsuchiya et al. [205] used transfection with antisense 20-O-methyl oligoribonucleotides (ASO), which acted as an inhibitor of miR-27, and thus demonstrated miR-27-dependent control of CYP1B1 gene expression in human MCF-7 breast cancer cells.

2.2. MicroRNA and Modulation of Drug Activity

MicroRNAs are broad-spectrum molecules. The same miRs can both increase the proliferation of cancer cells but sensitize them to treatment at the same time, resulting in increased overall survival. As one of the first studies, Esquela-Kerscher et al. [207] confirmed their therapeutic potential in cancer using the suppressive properties of microRNA. They experimentally demonstrated that it is possible to reduce tumor weight in lung cancer (in an animal model) by modulating the expression of let-7. Gasparini et al. [208] have shown that miR-155 increases the sensitivity to ionizing radiation therapy in patients with breast cancer. The goal of such therapy is to induce double-stranded DNA breaks in cancer cells. Researchers have described the mechanism by which miR-155 directly suppresses the expression of RAD51, a key protein for homologous recombination of DNA, thus blocking the repair of double-stranded DNA breaks and sensitizing triple-negative breast cancer to ionizing radiotherapy. On the basis of in silico analysis and an experiment with colorectal cancer cell lines, Boni et al. [209] investigated the effects of miR-192 and miR-215 on 5-fluoruracil sensitivity. These molecules are modulators of the expression of thymidylate synthase (TS), the expression of which is a predictive biomarker of responses to 5-FU in gastrointestinal tumors. However, on the basis of an analysis of the obtained results, it was found that lowering TS levels with miRNAs does not significantly affect the sensitivity of tumor cells to 5-FU therapy, although the overexpression of miR-192 and miR-215 is associated with a decrease in cell proliferation. Changes in the cell cycle have been associated with p53 status and p21 and p27 activation. As noted, they may result in 5-FU resistance, independent of thymidylate synthase expression. Hirota et al. [140] identified miR-27a, miR-27b, miR-134, and miR-582-5p as regulators of the sensitivity of lung cancer cells to 5-FU. According to their concept, the mechanism of resistance to this chemotherapeutic agent involves post-transcriptional regulation of the expression of dihydropyrimidine dehydrogenase (DPD), which is involved in the metabolism of 5-fluorouracil. The high activity of DPD in cancer cells is an important factor in the efficacy and toxicity of 5-FU therapy. Overexpression of these four miRNAs reduced the DPD gene. Analogous relationships have been described for the sensitivity of cells to gemcitabine therapy for tumor cells. The study by Maftouh et al. [210] showed that induction of miR-211 expression in cells increased the sensitivity to gemcitabine and decreased the expression of its target, ribonucleotide reductase 2 subunits (RRM2). The chemical resistance of pancreatic cancer to nucleoside analogs (e.g., gemcitabine) is a result of RRM2 overexpression. Researchers were able to inhibit the migration and invasion of pancreatic ductal adenocarcinoma cells through forced miR-211 overexpression. The chemosensitivity of neoplastic cells may also be regulated by let-7, which is a negative regulator of RRM2. Bhutia et al. [211] described the complicated mechanism of post-transcriptional regulation of RRM2 and chemotherapy sensitivity by let-7a, as well as the sensitization of PDACs to gemcitabine. These are just a few examples of the regulation of tumor cell responses to anti-cancer drugs available in the scientific literature (Table 2 and Table 3). Most chemotherapeutic agents have attempted to describe the mechanisms of changing the sensitivity profile through the interaction of miRNAs with the mRNA of the target genes involved in drug metabolism or that are effectors.
Table 3

List of microRNAs with therapeutic potential in human cancers.

Cancer TypeMiRNAsTarget GenesTransfection SystemCategoryReferences
Lung cancerLet-7 KRAS Adenoviral vectormiRNA mimicsEsquela-Kerscher et al. [207]
Let-7, miR-34aKRAS, P53Neutral lipid-based particles,neutral lipid emulsionmiRNA mimicsStahlhut and Slack [212],Trang et al. [213]
miR-29b, 133bMcl-1, DNMT3, CDK6Cationic lipoplexmiRNA mimicsWu et al. [214], Wu et al. [215]
miR-34aBcl-2, KRASLentiviral vectorneutral lipidmiRNA mimicsKasinski and Slack [216], Wiggins et al. [217]
miR-145Oct4, Sox2Cationic polyurethanes, short branch PEI-mediatedmiRNA mimicsChiou et al. [218]
Breast cancermiR-10b Hoxd10 pcDNA5-CMV-d2eGFP vectorAntagomirMa et al. [219]
miR-19a-3p Fra-1 NanoparticlesmiRNA mimicsYang et al. [220]
miR-27a, miR-451MDR1/P-glycoproteinLipidmiRNA mimics/antagomirsZhu et al. [68]
miR-34aE2F3, CD44, and SIRT1T-VISA system (plasmid)miRNA mimicsLi et al. [221]
miR-145fascin-1, c-Myc, SMAD2/3 and IGF-1Rp53, c-MycAdenoviral vector, lentiviral vectormiRNA mimicsKim et al. [222]Sachdeva et al. [223]
miR-326 MRP-1/ABCC1 pGL2-control vectormiRNA mimicsLiang et al. [224]
miR-298, miR-1253MDR1/P-glycoprotein (P-gp)Lipofectamine vectormiRNA mimicsBao et al. [77]
Hepatocellular carcinomaLet-7gc-Myc, p16 (INK4A)LipidmiRNA mimicsLan et al. [225]
miR-21PTEN, hSulf-1LiposomesmiRNA mimicsBao et al. [226]
miR-26aCCNE1, CCNE2, CCND2, and CDK6MSCV-derived retroviral constructmiRNA mimicsKota et al. [227]
miR-29Bcl-2, Mcl-1LipidAntagomirXiong et al. [228]
miR-101 Mcl-1 LipidAntagomirSu et al. [229]
miR-124 HNF4a LiposomesmiRNA mimicsHatziapostolou et al. [230]
miR-122ADAM17, ADAM10, SRF, IGF-1RCationic lipid LNP-DP1 particles, lentiviral vector miRNA mimicsHsu et al. [231], Bai et al. [232], Tsai et al. [233]
miR-143 NF-kappaB PLKO-anti-miRAntagomirZhang et al. [234]
miR-155C/EBPβ, FOXP3Lactosylated gramicidin-based lipid nanoparticles (Lac-GLN)AntagomirZhang et al. [235]
miR-199a/b-3pPAK4, E1AAdeno-associated AAV8,oncolytic adenovirusmiRNA mimicsHou et al. [236],Callegari et al. [237]
Gastric cancermiR-34a Bcl-2 Lipid and lentivirusmiRNA mimicsJi et al. [238]
miR-126 Crk LipidmiRNA mimicsFeng et al. [239]
miR-516a-3pSULF1, WNTAtelocollagenmiRNA mimicsTakei et al. [240]
Colon carcinomaLet-7RAS, c-MycCationic liposomes TransIT-TKOmiRNA mimicsAkao et al. [241]
miR-15a-16-1 CCNB1 Cationic liposomesmiRNA mimicsDai et al. [242]
p21-targeting miRs p53 Recombinant adenovirus (Ad-p53/miR-p21)miRNA mimicsIdogawa et al. [243]
miR-27aSGPP1, Smad2LipofectaminemiRNA mimicsBao et al. [244]
miR-27b VEGFC Cholesterol conjugatemiRNA mimicsYe et al. [245]
miR-34aE2F, P53AtelocollagenmiRNA mimicsTazawa et al. [246]
miR-133a RFFL LipofectaminemiRNA mimicsDong et al. [247]
miR-143, miR-145 ERK-5 Cationic liposomesmiRNA mimicsAkao et al. [248]
miR-145, miR-33ac-Myc, ERK-5, Pim-1PLGA/PEI-mediated miRNA vector delivery systemmiRNA mimicsIbrahim et al. [249]Liang et al. [250]
miR-145STAT-1, YESLipidmiRNA mimicsGregersen et al. [251]
miR-502 Rab1B OligofectaminemiRNA mimicsZhai et al. [252]
Acute myeloid leukemiamiR-29bSP1, CDK6, KITAnionic lipopolyplex nanoparticlesmiRNA mimicsHuang et al. [253]
Diffuse large B-cell lymphomamiR-34a FoxP1 LipidmiRNA mimicsCraig et al. [254]
NeuroblastomamiR-17-5pp21, BIMCholesterol-conjugateAntagomirFontana et al. [255]
miR-34a MYCN Anti-disialoganglioside GD2-coated nanoparticlesmiRNA mimicsTivnan et al. [256]
miR-380-5p P53 LipofectaminemiRNA mimicsSwarbrick et al. [257]
Pancreatic cancermiR-34a Bcl-2 LipofectaminemiRNA mimicsJi et al. [258]
miR-34a, miR-143/145 P53 Plasmid DNA-complexed nanovectorAntagomirPramanic et al. [259]
Prostate cancerlet-7aE2F2, CCND2LipofectaminemiRNA mimicsDong et al. [260]

3. MiRNA Delivery Systems

One of the greatest challenges of microRNA therapy is the development of efficient methods of delivery to effector cells. The method must provide both protection against unwanted degradation, and delivery into the cell and uptake without inducing an immunogenic response. Nanoconstructs used for delivery systems must be biocompatible and made of biodegradable materials [261,262]. Due to the small size of the molecule, strategies for delivering microRNA to the cell are similar to those used for interference RNA (siRNA) [227]. The most commonly used carriers are viral and nonviral vectors [263], with viral vectors having lost their importance due to triggering an immune response. Hence, nonviral vectors (e.g., polymeric vectors, lipid-based carriers, and inorganic materials) may be of the greatest importance in anticancer therapy [264,265]. Several routes of introducing the therapeutic construct into the organism have been tested in in vivo studies. Among them, the most frequently chosen are: Tail vein, e.g., cationic liposomes with miR-29 in lung cancer [214], PEI-PEG with miR-34a in hepatocellular carcinoma [266], and exosomes with miR-145 in lung cancer [267]; Intratumoral, e.g., cationic liposomes with miR-7 in lung cancer [268], polymeric micelles with miR-205 in pancreatic cancer [269], and exosomes with miR-146b in glioma [270]; Intravenous, e.g., carbonate apatite with miR-4711-5p in colon cancer [271], atelocollagen with miR-16 in prostate cancer [272], and exosome-GE11 peptides with let-7 in breast cancer [273]; Subcutaneous, e.g., ionizable liposomes with miR-200c in lung cancer [274], PEI with miR-203 in basal cell carcinoma [275], and atelocollagen with mir-34a in colon cancer [246]; Intraperitoneal, e.g., PEI with miR-145 in colon carcinoma [249] and exosomes with miR-122 in hepatocellular carcinoma [276].

4. Therapeutic Approaches Using miRNA

The goal of miRNA-based therapies is to restore the normal function of deregulated cell pathways. There are two possible approaches, including through inhibition of oncogenic microRNA activity (miRNA inhibitors) or by restoring the function of tumor suppressor microRNAs (miRNA mimics). Oncogenic miRNAs can be blocked by using antisense oligonucleotides (ASO), and locked nucleic acids (LNA) such as antimir, anti-mir oligonucleotides (AMO), and antagomirs [4,277]. Another popular strategy for restoring miRNA activity includes the introduction of miRNA mimics or microRNAs coded by expression vectors (Figure 1). The development of an effective therapy requires not only the selection of the correct expression-modulating molecules but also the development of an appropriate cell delivery strategy. Viral and nonviral vectors (polymers and liposomes) and nanoconstructs have been used in the group of carriers. Methods based on nanotechnology are being developed and tested in terms of their potential clinical application in solid tumors. Tumor suppressor microRNAs are the most frequently used in supporting anticancer therapy. Their introduction into the cell reactivates cellular protherapeutic pathways. This approach is known as “miRNA replacement therapy”.
Figure 1

Approaches for miRNA-based therapies.

MicroRNAs, as regulators of genes that are important for cancer progression, are increasingly being used in developing new therapeutic concepts in oncology. Analogous to the use of antisense mRNA and RNAi, miRs can be used to regulate the expression of the genes involved in carcinogenesis. High expression of most oncogenes is one of the key factors in the initiation of cancer (Figure 1). According to this assumption, artificial miRNAs are designed to block their expression based on the complementary miRNA properties of their target mRNAs, targeting silencing selected oncogenes. An example is the study of He et al. [27], in which it was confirmed in a mouse model that the induced expression of the miR-17-92 cluster resulted in strong inhibition of c-myc-induced apoptosis. The consequence of these changes was intensification of the tumor process. It has been estimated that such therapy is less toxic compared with other anticancer drugs. For this reason, nanoconstructs containing synthetic antisense oligonucleotides coding complementary sequences to deliver mature oncogenic miRNAs (anti-miRNA oligonucleotides (AMOs)) are being developed [3]. The goal of such therapy is to effectively inactivate the overexpressed miRNAs in cancer cells and, consequently, slow their growth. Clinical trials have confirmed the ability of this class of drugs to significantly suppress the target genes’ expression. Silencing of targeted miRNAs in vivo could be achieved by using antisense oligonucleotides with various nucleic acid analogs involving LNA, AMO, PNAs, or nanoencapsulated PNAs [278,279,280,281]. Many antimiR delivery and targeting strategies have been described (Table 3). There have been numerous experimental and preclinical attempts to develop therapy protocols. In a mouse model, Krützfeldt et al. [282] showed the possibility of effective inhibition of miRNA activity in various organs via antagomirs in the form of cholesterol-conjugated AMO. Interesting observations were also made by Dickins et al. [283], who found that miR-30 based shRNA (shRNA-miRs) inhibits gene expression under the control of Pol II promoters. Researchers also observed that with Trp53 knockdown using tetracycline-based systems and gene knockdown by the expression of shRNA-miRs (similar to the overexpression of protein-coding cDNAs), it was possible to control tumor growth. Another approach is to use miRNA overexpression techniques, based on transient expression systems, that function as tumor suppressors (e.g., encoded by the let-7 family). This method uses viruses or liposomes, which supply large amounts of miRNA. The construct uses the flanking sequences of pre-miRNA under the control of tissue-specific promoters, thanks to which, it is possible to stimulate and control the endogenous expression of selected molecules in the target cells. Nevertheless, it has been experimentally shown that an immune response may be an obstacle to achieving a therapeutic effect [284,285]. Gokito et al. [286] confirmed the therapeutic efficacy of forced expression of mimic miR-634 in a mouse model. In their study, they used a system of lipid nanoparticles (ionizable lipids: L021-LNP) that they administered to subjects intravenously. After introducing the constructs into the system, they observed the pro-apoptotic effect of the therapeutic agent, resulting in inhibition of pancreatic tumor growth. The disadvantage of this solution was, however, moderate hepatotoxicity. Wang et al. [287] analyzed the effect of miR-16-5p expression in breast cancer cell lines on ANLN inhibition. In their model, they used mimic miR-16-5p and si-ANLN, thanks to which, they demonstrated the effect of this marker miRNA on slowing down the proliferation and inhibition of cell migration and invasion. After miR-16-5p overexpression, breast cancer cells were arrested in the G2/M phase. These observations were consistent with those previously published by Magnusson et al. [288], who also demonstrated activation of the apoptotic processes of tumor cells after miR-16-5p overexpression by mimic miRNAs, resulting in subsequent suppression of ANLN expression. The effectiveness of antimiR-based therapies in vivo is hampered by physiological and cellular barriers to delivery to the target cells. Cheng et al. [289] attempted to overcome the barriers of the tumor microenvironment in order to effectively provide therapeutic antisense oligomers. Researchers have developed a platform that targets the acidic tumor microenvironment, evades systemic clearance by the liver, and facilitates cell entry via a non-endocytic pathway. For this purpose, they developed a model targeted therapy, based on a construct containing the peptide nucleic acid (PNA) antimiRs and a peptide with a low pH-induced transmembrane structure (pHLIP) [289]. Researchers first tested platforms containing miR-155 (pHLIP-anti155) delivered to A549 cells and Toledo diffuse large-B cell lymphoma (DLBCL) cells. Nevertheless, they confirmed that the method can be effective for other miRNA molecules (e.g., miR-182, miR-21, and miR-210) and for many other types of cancer cells. The condition is the course of endocytosis, taking the transport properties of pHLIP into account. Brognara et al. [290] tested the biological activity of PNA directed against miR-221 in U251, U373, and T98G human glioma cell lines, using a PNA construct conjugated to an arginine peptide tail.

5. Limitations of Replacement Therapy

One of the key challenges in implementing miRNA therapy is the development of clinically cost-effective and effective delivery materials. MicroRNA therapies appear to be effective, especially when mimic molecules are used as endogenous miRNAs to restore tumor suppressor function [264,291]. Nevertheless, the systemic introduction of microRNA mimics carries the risk of integrating their function not only in neoplastic cells but also in properly functioning cells [292,293]. Despite the promising data from in vitro experiments and animal models for breast, intestine, gastric, lung, and hematological neoplasms confirming their therapeutic efficacy, side effects in the form of toxicity and induction of immune and inflammatory responses have also been noticed [294]. Despite the promising results of scientific and preclinical research, attempts to implement therapies with the use of the miRNA nanostructure in oncological clinical trials have been unsuccessful (Table 4). The main reasons are the technical barriers to the effective introduction of therapeutic molecules into the body, especially degradation by nucleases and an unfavorable immune reaction. One of these disadvantages was noted at the stage of Phase I clinical trials in an attempt to introduce miRNA replacement therapy with MRX34, the aim of which was to restore miR-34 expression in cancer patients [295]. Due to the strong immune responses that resulted in the death of four patients, the trials were stopped.
Table 4

Clinical trials of miRNA therapy in oncology (based on https://clinicaltrials.gov, accessed on 10 January 2022).

Therapeutic AgentDrug Name (Sponsor)Clinical Trial NumberPhase StatusCancer
miR-34 mimicMRX34(Mirna Therapeutics, Inc.)NCT01829971Terminated(Five immune-related serious adverse events)WithdrawnPrimary liver cancer, SCLC, lymphoma, melanoma, multiple myeloma, renal cell carcinoma, NSCLC
miR-34 mimicMRX34(Mirna Therapeutics, Inc.)NCT02862145Withdrawn (five immune-related serious adverse events in Phase 1 study)Melanoma
miR-16 mimicTargomiRs/MesomiR-1 (Asbestos Diseases Research Foundation)NCT02369198CompletedMalignant pleural mesothelioma, non-small-cell lung cancer
anti-miR-155Cobomarsen/MRG-106/Vorinostat(miRagen Therapeutics, Inc.)NCT03713320NCT03837457Terminated (terminated early for business reasons, not due to concerns regarding safety or lack of efficacy.)Terminated (study no longer needed because eligible subjects may receive treatment with cobomarsen in a crossover arm of the SOLAR clinical trial (NCT03713320))Cutaneous T-cell lymphoma
anti-miR-155Cobomarsen/MRG-106/Vorinostat(miRagen Therapeutics, Inc.)NCT02580552CompletedCTCL, MF, chronic lymphocytic Leukemia (CLL), diffuse large B-cell lymphoma (DVBCL), activated B-cell (ABC) subtype, adult T-cell leukemia/lymphoma (ATLL)
Quite promising results of studies on the introduction of miRNA into clinical practice were obtained by van Zandwijk et al. [296] in a Phase I study, which checked the safety and activity of miR-16-loaded bacterial minicells (TargomiR) in the treatment of patients with recurrent malignant pleural mesothelioma. The nanoconstruct targeted EGFR (a mesothelioma overexpression receptor), and the main targets were genes involved in the progression of this cancer, e.g., BCL2, CDK1, and JUN. The use of the miR-16 mimic is a new therapeutic approach for this cancer, especially as palliative chemotherapy is the only available course for the majority of patients [297]. The developed nanoconstruct had to overcome the fibrous nature of the tumor barrier and to protect the nucleic acid from degradation in the peripheral line after intravenous administration. However, the authors failed to confirm the effective delivery of miR16-mimetics to tumor sites in vivo. In addition, many side effects were observed, the most serious of which was increased inflammation. The bacterial origin of the carrier was indicated as the probable cause of the induction of inflammation [296,297,298].

6. Conclusions

MiRNom analyses provided insights into the underlying mechanisms of oncogenesis. As strategic regulators of gene expression, small microRNAs are believed to be relatively simple for designing therapeutic agents as compared with antisense oligonucleotides, DNA and mRNA vaccines, or gene therapy vectors. The advantage of miRNAs is that as natural cell components, they should not cause undesirable effects and toxicity. The importance of microRNAs as therapeutic agents in recent years has increased, along with growing knowledge about the changes in cancer miRNAs affecting the response to therapy. It is therefore not surprising that there have been more and more attempts to include miRNAs in therapeutic protocols as part of targeted drugs. The promising results of experimental studies have proven the high effectiveness and low antigenicity of such personalized therapy. However, the clinical use of miRs in cancer therapy primarily requires the identification of specific miRNAs in a particular type of cancer and understanding their mechanisms of action. The next step is to develop a range of therapeutic manipulation methods and a way to deliver miRNA to target cells/tissues that has efficacy after overcoming immune barriers, as well as maintaining their stabilization and continuous activity. There is also no lack of scientific evidence that nanoconstructs containing mimics or antagomirs face barriers related to immunosuppression. Therefore, despite the promising results, the introduction of miRNAs as routine therapy in clinical practice is significantly difficult.
  291 in total

Review 1.  RNAi therapeutics: principles, prospects and challenges.

Authors:  Lars Aagaard; John J Rossi
Journal:  Adv Drug Deliv Rev       Date:  2007-03-16       Impact factor: 15.470

Review 2.  MiR-125 in normal and malignant hematopoiesis.

Authors:  L Shaham; V Binder; N Gefen; A Borkhardt; S Izraeli
Journal:  Leukemia       Date:  2012-03-29       Impact factor: 11.528

3.  miR-27b synergizes with anticancer drugs via p53 activation and CYP1B1 suppression.

Authors:  Wenjing Mu; Chaobo Hu; Haibin Zhang; Zengqiang Qu; Jin Cen; Zhixin Qiu; Chao Li; Haozhen Ren; Yixue Li; Xianghuo He; Xiaolei Shi; Lijian Hui
Journal:  Cell Res       Date:  2015-02-20       Impact factor: 25.617

4.  MiR-514 attenuates proliferation and increases chemoresistance by targeting ATP binding cassette subfamily in ovarian cancer.

Authors:  Sha Xiao; Ming Zhang; Chang Liu; Deling Wang
Journal:  Mol Genet Genomics       Date:  2018-05-11       Impact factor: 3.291

5.  MicroRNA-122, a tumor suppressor microRNA that regulates intrahepatic metastasis of hepatocellular carcinoma.

Authors:  Wei-Chih Tsai; Paul Wei-Che Hsu; Tsung-Ching Lai; Gar-Yang Chau; Ching-Wen Lin; Chun-Ming Chen; Chien-Der Lin; Yu-Lun Liao; Jui-Ling Wang; Yat-Pang Chau; Ming-Ta Hsu; Michael Hsiao; Hsien-Da Huang; Ann-Ping Tsou
Journal:  Hepatology       Date:  2009-05       Impact factor: 17.425

6.  Epigenetic regulation of microRNAs in acute lymphoblastic leukemia.

Authors:  Jose Roman-Gomez; Xabier Agirre; Antonio Jiménez-Velasco; Victor Arqueros; Amaia Vilas-Zornoza; Paula Rodriguez-Otero; Iñaki Martin-Subero; Leire Garate; Lucia Cordeu; Edurne San José-Eneriz; Vanesa Martin; Juan Antonio Castillejo; Eva Bandrés; María José Calasanz; Reiner Siebert; Anabel Heiniger; Antonio Torres; Felipe Prosper
Journal:  J Clin Oncol       Date:  2009-01-21       Impact factor: 44.544

Review 7.  MicroRNAs as New Biomarkers for Diagnosis and Prognosis, and as Potential Therapeutic Targets in Acute Myeloid Leukemia.

Authors:  Stefania Trino; Daniela Lamorte; Antonella Caivano; Ilaria Laurenzana; Daniela Tagliaferri; Geppino Falco; Luigi Del Vecchio; Pellegrino Musto; Luciana De Luca
Journal:  Int J Mol Sci       Date:  2018-02-03       Impact factor: 5.923

8.  Therapeutic Potential of LNP-Mediated Delivery of miR-634 for Cancer Therapy.

Authors:  Kentaro Gokita; Jun Inoue; Hiroshi Ishihara; Kazuyuki Kojima; Johji Inazawa
Journal:  Mol Ther Nucleic Acids       Date:  2019-11-26       Impact factor: 8.886

9.  Breast cancer metastasis: a microRNA story.

Authors:  Massimo Negrini; George Adrian Calin
Journal:  Breast Cancer Res       Date:  2008-03-26       Impact factor: 6.466

10.  Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours.

Authors:  David S Hong; Yoon-Koo Kang; Mitesh Borad; Jasgit Sachdev; Samuel Ejadi; Ho Yeong Lim; Andrew J Brenner; Keunchil Park; Jae-Lyun Lee; Tae-You Kim; Sangjoon Shin; Carlos R Becerra; Gerald Falchook; Jay Stoudemire; Desiree Martin; Kevin Kelnar; Heidi Peltier; Vinicius Bonato; Andreas G Bader; Susan Smith; Sinil Kim; Vincent O'Neill; Muhammad S Beg
Journal:  Br J Cancer       Date:  2020-04-02       Impact factor: 7.640

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  2 in total

Review 1.  MicroRNAs, Tristetraprolin Family Members and HuR: A Complex Interplay Controlling Cancer-Related Processes.

Authors:  Cyril Sobolewski; Laurent Dubuquoy; Noémie Legrand
Journal:  Cancers (Basel)       Date:  2022-07-20       Impact factor: 6.575

Review 2.  Noncoding RNAs Emerging as Drugs or Drug Targets: Their Chemical Modification, Bio-Conjugation and Intracellular Regulation.

Authors:  Jin Wang; Tian Tian; Xin Li; Yan Zhang
Journal:  Molecules       Date:  2022-10-09       Impact factor: 4.927

  2 in total

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