WASJ World Academy of Sciences Journal 2632-2900 2632-2919 D.A. Spandidos WASJ-7-1-00300 10.3892/wasj.2024.300 Articles Integrating expression profiling and computational modeling to elucidate PTEN‑miR‑141 interactions in oral squamous cell carcinoma AroraAnnanya 1 Usman Puthiya PurayilAshikha Shirin 2 Kizhakke ParambathAmeya 2 SekarDurairaj 2 Department of Prosthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Science (SIMATS), Saveetha University, Chennai, Tamil Nadu 600077, India RNA Biology Laboratory, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Science (SIMATS), Saveetha University, Chennai, Tamil Nadu 600077, India Correspondence to: Professor Durairaj Sekar, RNA Biology Laboratory, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Science (SIMATS), Saveetha University, 162, Poonamallee High Rd, Velappanchavadi, Chennai, Tamil Nadu 600077, India duraimku@gmail.com yangli2001@nwsuaf.edu.cn Jan-Feb 2025 02 12 2024 7 1 12 23 09 2024 12 11 2024 Copyright: © 2024 Arora et al. 2024 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

With a limited number of therapeutic options available, oral squamous cell carcinoma (OSCC) continues to pose a severe health burden, contributing to it high mortality rate. The tumor suppressor, phosphatase and tensin homolog (PTEN), is typically downregulated in OSCC, which aids in tumor growth. PTEN expression can be regulated by microRNAs (miRNAs/miRs), affecting the course of illness. In the present study, a possible PTEN regulator, miR-141, was found by computational analysis. PTEN and miR-141 expression profiling was performed on the samples of patients with OSCC and compared to that of healthy controls. The results revealed a significant inverse correlation between PTEN and miR-141 expression in OSCC tissues. Specifically, miR-141 levels were elevated, while PTEN expression was markedly downregulated in cancerous samples compared with the controls. This inverse correlation suggests that miR-141 may play a regulatory role in silencing PTEN, contributing to the progression of OSCC. These findings provide valuable insight into the molecular mechanisms underlying OSCC and suggest that miR-141 functions as an oncogenic miRNA in this context by targeting PTEN. The findings presented herein may have broad significance, since they may prove to be valuable for the development of new treatment approaches through the miR-141/PTEN axis. Restoring PTEN expression by targeting miR-141 may provide a novel treatment strategy for OSCC. PTEN and miR-141 may also function as prospective biomarkers for early diagnosis, providing chances to enhance patient outcomes via individualized treatment plans. However, further research is required to further determine the therapeutic potential of this regulatory axis.

 biomarker gene expression miR-141 PTEN oral squamous cell carcinoma therapeutics Funding: No funding was received. Introduction

A considerable percentage of head and neck malignancies are invasive and aggressive oral squamous cell carcinoma (OSCC). OSCC is a type of cancerous growth that arises from the stratified squamous epithelium of the oral cavity. It continues to pose a significant worldwide health concern and causes >90% of all oral cancers (1). In areas, such as Southeast Asia and portions of Europe where the disease is more common, OSCC has a major influence on world health. It poses a serious public health concern in these areas, since, for instance, OSCC accounts for ~45% of cases worldwide (2). As the population of the world ages and exposure to established risk factors, including alcohol, tobacco and chewing betel quid increases, the incidence of OSCC is expected to increase further. According to current statistics, OSCC is the sixth most prevalent type of cancer among females and the fourth most common among males (3). The condition can appear on the tongue, floor of the mouth, or the buccal mucosa, the latter of which is more frequently affected due to long-term irritation and exposure to cigarette smoke. The usual regulatory systems regulating cell growth and differentiation are disrupted by a complex multi-step process of genetic and epigenetic modifications that comprise the pathogenesis of OSCC. Currently, there is no effective treatment strategy for OSCC. Even though improvements have been made in surgical techniques, radiotherapy and chemotherapy, as these methods have limited success in improving long-term survival rates and reducing recurrence. Thus, in order to combat this condition, the primary objective is to develop novel therapeutic strategies that can effectively manage the diverse gene disturbances, as well as molecular abnormalities associated with the development of OSCC.

Human papillomavirus (HPV), in particular high-risk HPV-16, has also been linked to the etiology of OSCC in a growing number of patients, particularly those that do not have typical risk factors. As a result of the integration of HPV-16 into the host genome, tumor suppressor proteins become inactive and a buildup of genetic abnormalities that accelerate the development of cancer occurs (4). The process of field cancerization, in which a number of distinct regions of dysplasia develop inside the oral cavity and frequently result in the development of carcinoma in situ and invasive carcinoma, is another critical part of the pathophysiology of OSCC (5). The chance of tumor recurrence and treatment resistance is increased by this process, which is suggestive of extensive genetic instability in the afflicted tissue. The invasion of underlying connective tissues, angiogenesis stimulation and metastasis, which frequently involves nearby lymph nodes and distant organs, are the types of aggressive behavior displayed by OSCC as it progresses. Advanced-stage OSCC is associated with a poor prognosis due to its tendency for early metastases and local invasion (6). Moreover, among its counterparts implicated in OSCC, the phosphatase and tensin homolog (PTEN) gene stands out as it plays a crucial role in maintaining cellular homeostasis hence preventing malignant transformation. In the majority of cases of OSCC, the expression of PTEN, as a well-established tumor suppressor, is lost or frequently downregulated. Upon the loss of PTEN, patients exhibit accelerated cell growth rates and invasiveness that lead to resistance against standard care interventions, which expose them to poorer clinical outcomes (7). Recent studies have demonstrated the importance of epigenetic alterations, such as the methylation of the PTEN promoter, as major factors contributing to PTEN expression reduction, which further accelerates the progression of OSCC (8).

In addition to genetic alterations, the regulation of PTEN is also influenced by microRNAs (miRNAs/miRNAs), which are small non-coding RNAs that modulate gene expression at the post-transcriptional level (9). miRNAs exert their effects by binding to complementary sequences on target mRNAs, leading to their degradation or inhibition of translation (10). Recent studies have identified several miRNAs that directly target PTEN, affecting its expression and contributing to tumor progression in various cancers, including OSCC (9). These findings suggest that miRNAs may serve as valuable tools for elucidating the molecular mechanisms underlying OSCC and for the development of novel diagnostic and therapeutic strategies (11).

The present study aimed to integrate these insights by employing a two-pronged approach. First, the present study utilized computational methods to identify miRNAs that target PTEN, focusing on those that exhibit significant regulatory interactions. Subsequently, the present study validated these miRNAs through experimental analyses, assessing their expression profiles in OSCC samples and evaluating their functional impact on PTEN. By combining computational predictions with empirical validation, the present study aimed to uncover miRNAs that may serve as biomarkers, thereby enhancing the accuracy of early OSCC diagnosis. These miRNAs may also aid in the exploration of novel therapeutic avenues by understanding the interplay between PTEN and its regulatory miRNAs.

 Materials and methods <sec> <title>Identification of a key tumor suppressor in OSCC

The pathophysiology of OSCC was investigated through an extensive literature review, which included identifying key genes involved in the disease. Among the various candidates, a well-established tumor suppressor of interest was selected for further research due to its critical role in maintaining cellular homeostasis and its frequent downregulation in OSCC. Although not a novel protein, the importance of this tumor suppressor (PTEN) in OSCC underscores its relevance for the study, aiming to deepen the understanding of its regulatory mechanisms and potential as a therapeutic target.

 Selection and characterization of miRNAs

After identifying the gene, the present study concentrated on identifying possible miRNAs that target this gene, which may be critical for the progression of OSCC. TargetScan (https://www.targetscan.org/vert_80/) was used to anticipate miRNAs that could control PTEN computationally (12). A thorough list of potential miRNAs was supplied by this database, and particular miRNAs of interest were selected.

 Sequence retrieval and structural analysis

Reputable miRNA databases, namely miRBase (https://www.mirbase.org/), provided the sequence of the selected miRNA. The present study utilized RNAfold (http://rna.tbi.univie.ac.at/cgi-bin/RNAWebSuite/RNAfold.cgi) to analyze the secondary structure of the miRNA to gain a deeper understanding of its functional characteristics (13). The evaluation of the stability and possible binding abilities of the miRNA, two essential components of its regulatory roles, was made possible.

 Sample collection

The present study received approval from the Institutional Ethics Committee, Department of Medicine, Saveetha Medical College (IHEC/SDC/PhD/O-PATH-1916/19/432) and all samples were collected during the time from period September, 2023 to January, 2024 in strict adherence to the Declaration of Helsinki. The sample size for the study was calculated using Gpower and a set of 30 tissue samples, including OSCC and adjacent normal tissues, were acquired from patients who provided informed consent through the Department of Medicine at Saveetha Medical College and Hospitals (Chennai, India) to validate the experiment. Informed consent was obtained from each individual (Table I). Patients >18 years of age with a confirmed diagnosis of OSCC and no notable medical disorders, such as hypertension or hypothyroidism were included in the present study. The diagnosis of OSCC was validated by the Saveetha Medical College and Hospitals Department of Biochemistry. For further examination, the materials were stored at -20˚C after being washed with PBS.

 RNA extraction and quantification

Utilizing TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.), total RNA was isolated from the tissue samples in accordance with the manufacturer's recommendations. A Thermo Fisher Scientific NanoDrop 2000 Lite spectrophotometer (Thermo Fisher Scientific, Inc.) was used to evaluate the amount and caliber of the isolated RNA (14). Before being used again, the RNA samples were kept at -20˚C.

 Reverse transcription

Reverse transcription was performed on the isolated RNA to create complementary DNA (cDNA). For genes, an oligo(dT)18 primer (Promega Corporation, 50 µM) was employed, and for miRNAs, a universal adapter. Nuclease-free water and dNTPs (10 mM each) from New England Biolabs Inc. were added to the mixture. Following 5 min of incubation at 65˚C, this mixture was rapidly chilled. Nuclease-free water, 5X prime buffer, reverse transcriptase (New England Biolabs Inc.), and murine RNase inhibitor comprised the final reaction mixture. The following temperatures were used for the reverse transcription process in a MiniAmp Plus heat cycler (Thermo Fisher Scientific, Inc.): 30˚C for 10 min, 42˚C for 30 min, and 95˚C for 5 min, with a pause at 4˚C in between (14). Using a Nanodrop Lite spectrophotometer, the cDNA was measured and stored.

 Expression analysis using quantitative PCR (qPCR)

The expression levels of the selected miRNA and PTEN gene were measured using qPCR with SYBR-Green (Takara Bio, Inc.). U6 and β-actin were employed as housekeeping controls for the expression of miRNA and genes, respectively. The primers were provided by Eurofins Genomics LLC, and the Bio-Rad CFX96 Realtime System was utilized to perform the expression analysis (Table II). Following a 30-sec initial denaturation phase at 95˚C, there were 35-40 cycles of 5 sec at 95˚C and 30 sec at the annealing temperature throughout the PCR cycling conditions. After the PCR cycles were completed, a melt curve analysis was carried out (15). Each test was run in duplicate, and the relative expression levels were determined using the 2-∆∆Cq technique (16).

 Statistical analysis

The means of the repeated experiments, along with the standard error of the mean (SEM) were used to display the results.. For comparisons between two groups, the Student's t-test (paired) was used with GraphPad Prism 10.1.0 statistical software (15). All comparisons in the present study were made between two groups. To analyze the correlation between variables in the control and patient groups, Pearson's correlation was used. A value of P<0.05 was considered to indicate a statistically significant difference.

 Results <sec> <title>miRNA selection and analysis

Computational predictions were made once PTEN was identified as a major gene of interest to find potential miRNAs that may control PTEN. TargetScan was utilized to build an extensive list of potential miRNAs (Fig. 1). The candidate miRNA, miR-141 was chosen based on their anticipated interaction with PTEN and their biological importance in OSCC.

 miRNA sequence and structural analysis

The sequence of miR-141 was extracted from miRBase and a stable stem-loop shape was predicted by further analysis using RNAfold, which is necessary for the correct processing and operation of the miRNA (Fig. 2). A minimal free energy of -37.30 kcal/mol was found, exhibiting a high structural stability. These properties underline the possible involvement of miR-141 in OSCC (Table III).

 Expression profiling of PTEN and miR-141

When comparing tissue samples from OSCC to those from normal tissues the gene expression analysis revealed different patterns of PTEN and miR-141 levels. PTEN expression was significantly downregulated, although miR-141 levels were noticeably upregulated in OSCC samples. Based on these data, it appears that PTEN and miR-141 may be involved in the development of OSCC, which calls for further research (Figs. 3 and 4). An inverse correlation between PTEN levels and miR-141 was also observed, suggesting that in OSCC, an increase in the expression of miR-141 is correlated with a decrease in PTEN expression (Fig. 5). The Pearson's correlation coefficient (r) for this corrleation was -0.842, indicating a strong negative correlation, while the P-value was <0.0001, demonstrating that this correlation is statistically significant.

 Discussion

OSCC poses a major worldwide health burden, mostly due to its high mortality rates and rapid development (17). Known for its intricate interactions between genetic and epigenetic elements, OSCC frequently entails the suppression of key tumor suppressor genes, such as PTEN, which are essential for preserving cellular homeostasis and averting malignant transformation (18). The present study centered on the function of miRNAs in regulating the expression of PTEN, specifically focusing on miR-141, a pivotal regulator of PTEN found in several malignancies, including OSCC. In OSCC tissues, the data revealed a strong negative association between miR-141 and PTEN expression, with an increased expression of miR-141 corresponding to downregulated levels of PTEN. miR-141 has also been demonstrated to target and suppress PTEN in other types of cancer, including gastric and prostate cancer, which has resulted in increased tumor development and treatment resistance (19,20). These findings are in line with these studies. These comparative findings demonstrate the wider function that miR-141 plays in the oncogenesis of a number of cancer types and point to its potential as a therapeutic target that may be used universally.

This discovery also coincides with studies on hepatocellular carcinoma (HCC), where miR-141 has been linked to the downregulation of PTEN, hence increasing carcinogenesis (21). On the other hand, these findings suggest that, in OSCC, miR-141 may potentially enhance invasiveness and metastatic potential by interfering with PTEN-mediated pathways, in contrast to HCC, where miR-141 primarily addresses cell proliferation. As the functional impact varies throughout cancer types, different treatment approaches are required, highlighting the intricacy of miRNA regulation. The results presented herein have consequences that go beyond simple molecular understanding. In OSCC, the deregulation of the miR-141/PTEN axis may be a useful biomarker for prognosis and early identification. Comparative research on breast cancer has demonstrated that diagnostic accuracy is increased when miRNA profiling is combined with conventional markers. Comparably, early identification rates for OSCC may be increased by including PTEN expression analysis and miR-141 into the existing diagnostic methods, particularly for individuals lacking conventional risk factors. Furthermore, a viable treatment approach is to target the miR-141/PTEN pathway. Preclinical research on lung cancer has demonstrated that miRNA inhibitors can render tumors more sensitive to chemotherapy and restore PTEN expression (22). By reactivating tumor suppressor pathways, innovative medicines that overcome resistance to current medications may be developed if this technique is used to OSCC (23).

In conclusion, the present study statistically analyzed the expression of PTEN and miR-141 in OSCC in comparison to normal tissue samples. The findings presented herein provide a deeper understanding of the molecular interactions between these critical regulators, providing insight which may aid in the development of novel therapeutic approaches. miR-141 plays a crucial role in regulating PTEN expression in OSCC, with significant implications for both diagnosis and treatment. The present study highlights the potential of miR-141 as a universal therapeutic target by contrasting the results with research in other malignancies. Further studies are required however, to explore the therapeutic potential of targeting the miR-141/PTEN pathway in OSCC, particularly in combination with conventional therapies, in order to improve patient outcomes and reduce mortality rates.

 Acknowledgements

Not applicable.

 Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

 Authors' contributions

DS conceptualized the study, and was also involved in the study supervision, formal analysis and reviewing of the manuscript. AA was involved in the writing of the original draft of the manuscript, as well as in data analysis and interpretation. ASUPP was involved in the design of the study, in data curation and assisted with data analysis. AKP was involved in data collection and revised the manuscript. DS and AKP confirm the authenticity of all the raw data. All authors have read and approved the final manuscript.

 Ethics approval and consent to participate

The present study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Ethics Committee of Department of Medicine at Saveetha Medical College and Hospitals (IHEC/SDC/PhD/O-PATH-1916/19/432). Written informed consent was obtained from all patients prior to the collection of tissue samples for research purposes.

 Patient consent for publication

Not applicable.

 Competing interests

The authors declare that they have no competing interests.

 References ArumugamPMSMJayaseelanVPA novel m6A reader RBFOX2 expression is increased in oral squamous cell carcinoma and promotes tumorigenesisJ Stomatol Oral Maxillofac Surg10204120243924402410.1016/j.jormas.2024.102041 MurugesanDKannanBAsSGJayaseelanVPArumugamPAlteration of SERPINH1 is associated with elevated expression in head and neck squamous cell carcinomas and its clinicopathological significanceJ Stomatol Oral Maxillofac Surg12510181120243843248310.1016/j.jormas.2024.101811 Miguelanez-MedranBCPozo-KreilingerJJCebrian-CarreteroJLMartinez-GarciaMALopez-SanchezAFOral squamous cell carcinoma of tongue: Histological risk assessment. A pilot studyMed Oral Patol Oral Cir Bucal24e603e60920193142241110.4317/medoral.23011 SriSRamaniPPremkumarPRamshankarVRamasubramanianAKrishnanRPrevalence of Human Papillomavirus (HPV) 16 and 18 in oral malignant and potentially malignant disorders: A polymerase chain reaction analysis-A comparative studyAnn Maxillofac Surg1161120213452264610.4103/ams.ams_376_20 TanYWangZXuMLiBHuangZQinSNiceECTangJHuangCOral squamous cell carcinomas: state of the field and emerging directionsInt J Oral Sci154420233773674810.1038/s41368-023-00249-w ShettySSSharmaMFonsecaFPJayaramPTanwarASKabekkoduSPKapaettuSRadhakrishnanRSignaling pathways promoting epithelial mesenchymal transition in oral submucous fibrosis and oral squamous cell carcinomaJpn Dent Sci Rev569710820203287437710.1016/j.jdsr.2020.07.002 LiuMSongHXingZLuGLiJChenDCorrelation between PTEN gene polymorphism and oral squamous cell carcinomaOncol Lett181755176020193142324210.3892/ol.2019.10526 FuscoNSajjadiEVenetisKGaudiosoGLopezGCortiCRoccoEGCriscitielloCMalapelleUInvernizziMPTEN alterations and their role in cancer management: Are we making headway on precision medicine?Genes (Basel)1171920203260529010.3390/genes11070719 TravisGMcGowanEMSimpsonAMMarshDJNassifNTPTEN, PTENP1, microRNAs, and ceRNA Networks: Precision targeting in cancer therapeuticsCancers (Basel)15495420233789432110.3390/cancers15204954 DienerCKellerAMeeseEThe miRNA-target interactions: An underestimated intricacyNucleic Acids Res521544155720243803332310.1093/nar/gkad1142 ChakraborttyAPattonDJSmithBFAgarwalPmiRNAs: Potential as biomarkers and therapeutic targets for cancerGenes (Basel)14137520233751028010.3390/genes14071375 GuYTangSWangZCaiLShenYZhouYIdentification of key miRNAs and targeted genes involved in the progression of oral squamous cell carcinomaJ Dent Sci1766667620223575681010.1016/j.jds.2021.08.016 AhsanMKP AUsmanP P ASSekarDComputational and expression analysis of microRNA-149-5p and its target, interleukin-6, in chronic kidney diseaseBiomed Res Ther10610361092023 SuthagarPPurayilASUPParambathAKSekarDIn silico identification and gene expression of miR-148a-5p and IL-6 in hypothyroid patient blood samplesBiomed Res Ther11637963862024 NarayanRNParambathAKPurayilASUPSekarDmicroRNA-9-5p and its target nuclear factor kappa B are differentially expressed in type-2 diabetes patientsBiomed Res Ther11618361902024 LivakKJSchmittgenTDAnalysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) MethodMethods2540240820011184660910.1006/meth.2001.1262 Oral cancer - the fight must go on against all oddsEvid Based Dent234520223533831510.1038/s41432-022-0243-1 MesgariHEsmaelianSNasiriKGhasemzadehSDoroudgarPPayandehZEpigenetic regulation in oral squamous cell carcinoma microenvironment: A comprehensive reviewCancers (Basel)15560020233806730410.3390/cancers15235600 ZedanAHOstherPJSAssenholtJMadsenJSHansenTFCirculating miR-141 and miR-375 are associated with treatment outcome in metastatic castration resistant prostate cancerSci Rep1022720203193785410.1038/s41598-019-57101-7 GuzMJeleniewiczWCybulskiMInteractions between circRNAs and miR-141 in Cancer: From pathogenesis to diagnosis and therapyInt J Mol Sci241186120233751161910.3390/ijms241411861 KhareSKhareTRamanathanRIbdahJAHepatocellular Carcinoma: The Role of MicroRNAsBiomolecules1264520223562557310.3390/biom12050645 YangHLiuYChenLZhaoJGuoMZhaoXWenZHeZChenCXuLMiRNA-based therapies for lung cancer: Opportunities and challenges?Biomolecules1387720233737145810.3390/biom13060877 Bou AntounNChioniAMDysregulated signalling pathways driving anticancer drug resistanceInt J Mol Sci241222220233756959810.3390/ijms241512222

Predicted miRNAs targeting PTEN. The figure displays the miRNAs predicted to target PTEN, identified using TargetScan. Each miRNA is presented with its corresponding seed match type and conservation score. PTEN, phosphatase and tensin homolog.

Secondary structure of hsa-miR-141. The figure represents the predicted secondary structure of hsa-miR-141. The mature miRNA sequence is highlighted within the structure.

Differential gene expression of PTEN in OSCC and normal samples. The figure shows the comparative gene expression levels of PTEN between OSCC and normal tissue samples. The graph highlights the significant differences in expression, with asterisks (*) indicating statistically significant differences (P<0.05). Error bars represent the standard deviation of the mean. PTEN, phosphatase and tensin homolog; OSCC, oral squamous cell carcinoma.

Expression levels of miR-141 in OSCC vs. normal samples. The figure displays the comparative expression of miR-141 between OSCC samples and those from normal controls. Significant differences in expression are marked by asterisks (*), with P<0.05. Error bars denote the standard deviation. OSCC, oral squamous cell carcinoma.

Inverse correlation between miR-141 and PTEN expression. The figure illustrates the negative correlation between miR-141 and PTEN expression levels in the samples, with a statistically significant P-value of <0.05. PTEN, phosphatase and tensin homolog.

Characteristics of the patients in the present study.

Characteristic Description
Age 30-75 years (mean, 55±10 years)
Sex Males, 20; Females, 10
Tumor Stage Stage I, 5; stage II, 10; stage III, 10; stage IV, 5
Metastasis Yes, 8; no, 22
Additional factors Smoking, 15 (yes); alcohol consumption, 12 (yes)

miRNAs and reference gene primer sequences used in the gene expression analysis.

miRNA/reference gene name Forward primer Reverse primer
β-actin 5'-GCACCACACCTTCTACAATG-3' 5'-TGCTTGCTGATCCACATCTG-3'
PTEN 5'-TGAGTTCCCTCAGCCGTTACCT-3' 5'-GAGGTTTCCTCTGGTCCTGGTA-3'
U6 5'-CTCGCTTCGGCAGCACA-3' 5'-ACGCTTCACGAATTTGC-3'
miR-141 5'-GCGGAAAGAGGCCCCG-3' 5'-AGTGCAGGGTCCGAGGTATT-3'

PTEN, phosphatase and tensin homolog.

Minimum free energy, mature sequence, match extent and A+U content of hsa-miR-141.

Source miRNA Source organism Minimum free energy Mature sequence Match extension Strand A+U%
miR-141 Homo sapiens -37.30 kcal UAACACUGUCUGGUAAAGAUGG 22/22 3p 45.33

The table presents the minimum free energy, the mature miRNA sequence, the extent of sequence matching, and the A+U percentage content for hsa-miR-141.