- Research article
- Open Access
MicroRNA-143 expression inhibits the growth and the invasion of osteosarcoma
Journal of Orthopaedic Surgery and Research volume 17, Article number: 236 (2022)
Osteosarcoma (OS) is a common malignant tumor, which occurs in the metaphysis of the long diaphysis from mesenchymal tissue. Previous studies have indicated that expression of microRNA-143 (miR-143) could affect cancer cell proliferation, migration and invasion. The present research was performed to figure out whethermiR-143 expression inhibits the growth and the invasion of OS.
We conducted a literature search in the electronic databases of Medline, Embase, Web of Science, and the Cochrane Library, SinoMed, WanFang, China national knowledge infrastructure (CNKI) until January 2022. We used Review Manager 5.3 software to conduct our research.
Twelve eligible articles were included, 5 articles were reported outcomes about mice, 11 articles were reported outcomes about human. The results of mice demonstrated that the miR-143 group had significantly better results in tumor volume, tumor weight and survival rate. The results of human demonstrated that the high level of miR-143 group had significantly better results in the 3-year, 4-year, and 5-year survival rate, lung metastasis and tumor grade.
MiR-143 has potentially important value in the treatment and prognosis of OS. However, more reliable animal and clinical trials are needed before miR-143 based therapies can be transferred from animal studies to human applications.
OS is a common malignant tumor, occurs in the metaphysis of the long diaphysis from mesenchymal tissue [1,2,3]. This bone malignancy mainly affects the young people and adolescents. Despite the fact that recent advances in treatments that surgical-wide resection combine with chemotherapy and radiotherapy treatments, approximately 40–50% of the patients occur pulmonary metastasis [4, 5]. Among these patients, the 5-year survival rate is just 28%. Thus, it is important to develop a novel therapeutic approach in OS treatment.
MiRNA with a length about 18–26 nucleotides, is a class of endogenously expressed and non-coding small RNA. Because one miRNA can target several mRNAs, they are vital components of a large regulatory network, miRNAs can regulate multiple cellular functions [6,7,8]. Previous studies have indicated that miRNAs are aberrantly expressed or mutated in the development of cancers [9, 10]. The mechanism of miRNA is helpful for the diagnosis and treatment of OS. Studies show that miR-143 has featured as tumor suppressors in various tumors, such as ovarian cancer, glioblastoma, pancreatic cancer, and so on [11,12,13]. It was also reported the expression level of miR-143 decreased in OS tissues and cells, and low expression level of miR-143 could accelerate cell proliferation, migration and invasion [6, 14,15,16]. MiR-143 may have potentially important value in the treatment and prognosis of OS. Therefore, we systematically collected all available literatures about miRNA-143 and OS in the mice models and human to discuss the function of miR-143.
The Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines were followed in this study. The research protocol for this review was determined by all coauthors before the literature searches begun, and the study protocol was published online at the PROSPERO (https://www.crd.york.ac.uk/prospero/) under registration number CRD42020191937.
Inclusion and exclusion criteria
To be included in our analysis, the study had to follow inclusion criteria belowing: (1) Studies compared low and high miRNA-143 expression in mice or human with OS. (2) Outcomes were not limited to pool. (3) Studies published in English. Studies were excluded: (1) Duplicate publication. (2) Studies with insufficient data. (3) Studies not published in English. (4)Conference, case report, or cadaver studies.
A literature search was conducted to search studies compared low and high miRNA-143 expression in mice or human with OS. The searched terms were following: “osteosarcoma”, “microRNA-143”, “miRNA-143”. The Boolean operators and/or were used to combine them. Medline, Embase, Web of Science, and the Cochrane Library, SinoMed, WanFang, and CNKI were searched to retrieve related studies until January 2022.
The following information was respectively extracted from each of the included studies by two investigators (ZJ and QH). The basic data of mice were extracted from the studies: author, year of publication, the number of animals, characteristics of animals, tumor volume, tumor weight, mice survival number.
The basic data of human were extracted from the studies: author, country, year of publication, the number of patients, gender, age, anatomical site, metastasis, tumor size, tumor grade, survival curve, expression level of miR-143, When disagreement existed, it was resolved by consulting another investigator (LY).
The quality of included studies was respectively assessed by two investigators (ZJ and QH). The quality of the animal studies was assessed according to CAMARADES . Risk of selection, performance, detection, attrition and reporting bias was assessed using SYRCLE’s risk of bias tool . The quality of the human studies was assessed according to the Downs and Black  and the Newcastle–Ottawa Scale (NOS)  quality assessment methods. A total NOS score was 9* and if the NOS score was over 6*, it would be regarded as higher quality research. A higher score was recognized as better quality research. Any different opinions were resolved by a third reviewer (WJ).
Statistical and sensitivity analysis
The meta-analysis was conducted using Review Manager 5.3. For continuous outcomes, a standard mean difference (SMD) and 95% confidence interval (CI) were used. For dichotomous data, the risk difference (RD) with 95% CI was calculated as the summary statistics. Statistical heterogeneity was assessed using the value of P and I2. If P was > 0.1 and I2 was < 50%, the fixed-effects model was used; otherwise, the random-effects model was used to do analysis. Random-effects models were used to reduce heterogeneity. Data analysis was carried out by using Review Manager 5.3. Sensitivity analysis was performed to assess the accuracy of our results through the exclusion of eligible studies once time.
Data collection and data processing
The miR-143 related data-sets in GEO (http://www.ncbi.nlm.nih.gov/geo) were used to make analysis. Background correction and normalize were processed by the R package ‘affy’ from the Bioconductor project. The DE-miRNAs analysis was conducted by the R package ‘limma’ (Filter: |log2FC|> 1; P < 0.05).
After the initial scanning of the titles and abstracts, 4 studies related to other sarcoma were excluded [20,21,22,23], 30 studies [1, 3,4,5,6,7,8, 14, 15, 24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44] related to OS that met the inclusion criteria were reviewed for full-text screening. After full texts assessed for eligibility, 18 studies were excluded due to lack of data. Finally, 12 eligible articles [1, 4, 7, 15, 25, 28,29,30, 33, 37, 38, 40] were included, 5 studies reported the outcomes about mice [7, 28, 30, 37, 38], 11 studies reported the outcomes about human [1, 4, 7, 15, 25, 28,29,30, 33, 37, 40]. The information of 29 studies [1, 3,4,5,6,7,8, 14, 15, 24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39, 41,42,43,44] related to OS were shown in Table 1 and the information of 4 studies [20,21,22,23] related to other sarcoma were showed in Table 2. The characteristics of the studies about mice in the meta-analysis were showed in Table 3 and the characteristics of the studies about human in the meta-analysis were showed in Table 4.The role of miR-143 in OS was shown in Fig. 1.The selection process was shown in Fig. 2.
Quality of the included studies
In terms of Downs and Blacks score, all included studies were over 15. In NOS scale, 9 of 10 non- non-Randomized Controlled Trials (RCTs) had scored ≥ 6*. The lowest score was 5 *due to low quality of comparability and outcome. The quality of human studies was shown in Table 5. In CAMARADES criteria, the score of the study quality ranged from 5 to 7 out of a total 10 points, the outcome was illustrated in Table 6. In SYRCLE criteria, the score of the study quality ranged from 3 to 7 out of a total 10 points, the outcome was illustrated in Table 7. No study was identified with problems that could result in high risk of bias.
Final tumor volume
Three studies [7, 28, 38] compared the tumor volume. The data of them were pooled to do analysis. There was no significant heterogeneity between the studies (P = 0.29; I2 = 20%); therefore, the fixed-effects model was used. It showed the miR-143 up-regulation group had significantly smaller tumor volume (SMD = − 4.84, 95% CI: − 6.29 to − 3.40, P < 0.001; Fig. 3).
subgroup analysis by follow-up period
According to the follow-up period subgroup analysis was performed. We divided the follow-up period into five time periods: 2 weeks (P = 0.64; I2 = 0%), 3 weeks (P = 0.33; I2 = 12%), 4 weeks (P = 0.16; I2 = 42%), 5 weeks (P = 0.94; I2 = 0%) and 6 weeks (P = 0.51; I2 = 0%), so the fixed-effects model was performed. The pooled results manifested that the miR-143 up-regulation group had significantly better outcomes in the group of 2 weeks (SMD = − 1.15, 95% CI: − 1.82 to − 0.48, P = 0.0008; Fig. 3), 3 weeks (SMD = − 3.29, 95% CI: − 4.36 to − 2.22, P < 0.001; Fig. 3), 4 weeks (SMD = − 3.65, 95% CI: − 4.82 to − 2.47, P < 0.001; Fig. 3), 5 weeks (SMD = − 4.38, 95% CI:− 5.90 to − 2.85, P < 0.001; Fig. 3) and 6 weeks (SMD = − 4.42, 95% CI: − 5.98 to − 2.86, P < 0.001; Fig. 4).
subgroup analysis by type of cell
According to the type of cell, subgroup analysis was performed. We divided the studies in two group: U2OS (P = 0.15; I2 = 52%) and others (MG63 and 143B) (P = 0.20; I2 = 39%), so the Random-effects model was performed. The pooled results manifested that the miR-143 up-regulation group had significantly better outcomes in the group of U2OS (SMD = − 5.75, 95% CI: − 10.39 to − 1.11, P = 0.02; Fig. 4) and others (SMD = − 5.16, 95% CI: − 7.77 to − 2.54, P = 0.0001; Fig. 5).
Final tumor weight
Four studies [7, 28, 30, 37] compared the tumor weight. The data of them were pooled to do analysis. There was significant heterogeneity between the studies (P < 0.001; I2 = 89%); therefore, the random-effects model was used. It showed the miR-143 group had significantly lighter tumor weight (SMD = − 4.62, 95% CI: − 7.66 to − 1.58, P = 0.003; Fig. 6).
subgroup analysis by type of cell
According to the type of cell, subgroup analysis was performed. We divided the studies into two group: U2OS (P = 0.11; I2 = 61%) and others (143B and Saos-2) (P < 0.001; I2 = 90%), so the random-effects model was performed. The pooled results manifested that the miR-143 group had better outcomes in the group of U2OS (SMD = − 8.49, 95% CI: − 15.98 to − 1.00, P = 0.03; Fig. 6) and others (SMD = − 3.24, 95% CI: − 6.46 to − 0.03, P = 0.05; Fig. 7).
Survival rate of mice
Two studies [7, 37] reported survival rate of mice. There were 13 of 16 (81.25%) mice in the miR-143 group and 8 of 16 (50%) patients in the low-level group. No significant heterogeneity was detected (P = 0.23; I2 = 29%); therefore, the fixed-effects model was used. The final outcomes manifested that the high-level of miR-143 had a significantly better outcomes in survival rate of mice (RD = 0.31, 95% CI: 0.05–0.58, P = 0.02; Fig. 8).
The survival rate was reported in 3 studies [7, 15, 30]. The data of them were pooled to do analysis. According to the follow-up period, subgroup analysis was performed using a random effects model, we divided the follow-up period into five time periods:1 year (P = 0.02; I2 = 75%), 2 years (P = 0.09; I2 = 58%), 3 years (P = 0.08; I2 = 61%), 4 years (P = 0.88; I2 = 0%) and 5 years (P = 0.78; I2 = 0%). The pooled results manifested that the high-level group had significantly better outcomes in the group of 3 years (RD = 0.29, 95% CI: 0.03 to 0.55, P = 0.03; Fig. 8), 4 years (RD = 0.44, 95% CI: 0.20 to 0.69, P = 0.0004; Fig. 8) and 5 years (RD = 0.29, 95% CI: 0.04 to 0.54, P = 0.03; Fig. 8). The pooled results manifested no significant difference between the two groups in 1 year (RD = 0.17, 95% CI: − 0.06 to 0.40, P = 0.14; Fig. 8) and 2 years (RD = 0.20, 95% CI: − 0.01 to 0.41, P = 0.06; Fig. 9).
Three studies [4, 15, 25] reported lung metastasis. There were 21 of 90 (23.33%) patients in the high-level group and 35 of 55 (63.64%) patients in the low-level group. No significant heterogeneity was detected (P = 0.65; I2 = 0%); therefore, the fixed-effects model was used. The final outcomes manifested that the high-level of miR-143 had a significantly better outcomes in lung metastasis (RD = − 0.52, 95% CI: − 0.67 to − 0.36, P < 0.001; Fig. 10).
Two studies [7, 25] reported tumor grade. In these studies, 12 of 62 (19.35%) patients had low tumor grade in the high-level group and 45 of 65 (69.23%) patients in the low-level group. No significant heterogeneity was detected (P = 0.99; I2 = 0%); therefore, the fixed-effects model was used. The final outcomes manifested that the high-level of miR-143 had a significantly better in the outcomes of low tumor grade (RD = − 0.50, 95% CI: − 0.65 to − 0.34, P < 0.001; Fig. 11).
Expression of miR-143
Comparisons between the human OS tissue and the adjacent normal tissue
Six studies [1, 7, 28,29,30, 33] compared the expression of miR-143 between the OS tissue and the adjacent normal tissue. The data of them were pooled to do analysis. Significant heterogeneity was found between the studies (P < 0.001; I2 = 97%); therefore, the random-effects model was used. The results showed that miR-143 was significantly down-regulated in human OS tissue. (SMD = 10.86, 95% CI: 6.65 to 15.06, P < 0.001; Fig. 12).
Comparisons between the human OS tissue with metastasis and OS tissue without metastasis
Two studies [37, 40] compared the OS tissue expression of miR-143 between the metastasis and no metastasis. The data of them were pooled to do analysis. There was no significant heterogeneity between the studies (P = 0.07; I2 = 69%); therefore, the fixed-effects model was used. It showed miR-143 was down-regulated in human OS tissue with metastasis (SMD = − 1.00, 95% CI: − 2.01 to 0.02, P = 0.05; Fig. 13).
One study was individual deleted each time to observe its influence on the pooled SMD or RD. The results showed that no study could substantially affect the pooled SMD or RD in the present meta-analysis.
The data-set GSE65071 based on the platform of GPL19631 and GSE28423 based on GPL8227 were chosen for analysis. We found that miR-143 is significantly down regulated in plasma samples from patients with osteosarcoma (log2FC = − 2.13; P < 0.05) and in osteosarcoma cell lines (log2FC = − 3.28; P < 0.05).
The results of our meta-analysis demonstrated that the upregulation of miRNA-143 expression could significantly decrease the mice tumor volume, reduce mice tumor weight, improve mice survival rate. In addition, high expression of miR-143 significantly could improve human survival rate, decrease the risk of lung metastasis, and reduce the incidence of the high-grade OS. In the expression level of miR-143, the OS tissue was significantly lower than the adjacent normal tissue, and the patient without metastasis was significantly higher than the patient with metastasis.
Tumor volume and tumor weight are two main indicators in the animal experiment. Our study found that by restoring the normal expression of miR-143 in OS mice model, the volume and weight of tumor could be significantly reduced. Han et al. found that miR-143-3p could decrease KIAA1429 expression which could significantly promote the OS progression in the mice . Zhang et al. found the overexpressed of circUBAP2 promoted mice OS growth by inhibiting the expression of miR-143 . In addition, we also found that the survival rate of mice with high miR-143 expression was significantly higher than that of mice with low miR-143 expression. Osaki et al. found miRNA-143 regulated mice OS metastasis by regulating Matrix Metalloprotease-13 (MMP-13) . Yu et al. reported that long non-coding RNA TUG1 knockdown promoted tumorigenesis, peritoneal spread, and metastasis of mice OS and by mediating HIF-1α via miR-143-5p . Summarize the evidence, miR-143 upregulation can inhibit the growth of OS in mice and improve the survival rate of mice.
In the results of human, we found that the human survival rate of miR-143 high expression group was significantly higher than that of miR-143 low expression group from the third year of follow-up. The high expression group had a significantly higher probability of low-grade OS. In addition, we also found that the expression of miR-143 in tumor tissue was significantly lower than that in surrounding normal tissues, and the expression level of miR-143 in metastatic primary OS tissue was significantly lower than that of patients without metastasis. Zhang reported miR-143 is down-regulated in primary osteosarcoma . Fang found that the miRNA-143 level in the tumor tissue declined related to disease severity in OS patients . Yu reported that survival and recurrence-free survival of OS patients with relatively high expression of lncRNA TUG1, which could inhibit the expression of miR-143, was significantly lower than the low expression . In Zhang’s study, Low expression of circular RNA UBAP2 had a significantly better survival rate than high expression which inhibited the expression of miR-143. By analyzing plasma between OS patients and healthy people, Ouyang et al. reported miR-143 significantly decreased in OS patients compared with controls. In addition, level of miR-143 significantly decreased in patients with metastasis compared with no metastasis patients . Zhang et al. reported that miR-143 expression is inhibited by lncRNA FOXD2-AS1 in drug-resistant cell lines, and the knockdown of LncRNA FOXD2-AS1 inhibits the resistance of human OS cells to cisplatin, promotes cell apoptosis and suppresses cell invasion and migration abilities . Li et al. noted that bone marrow-derived mesenchymal stem cells-derived extracellular vesicles promote proliferation, invasion and migration of osteosarcoma cells via the MALAT1/miR-143/NRSN2/Wnt/β-catenin axis . Bi et al. reported the knockdown of lncRNA colon cancer‑associated transcript 2 could inhibit the proliferation and metastasis of OS cells via targeting miR‑143. Yang et al. pointed that miR-143 expression were significantly down-regulated in the serum from OS patients, and the OS patients with lower serum miR-143 expressions survived shorter than those with higher serum miR-143 expressions (P = 0.0421). They concluded that serum miR-143 may function as diagnostic and prognostic markers for OS . Summarize the evidence, we concluded that miR-143 upregulation could inhibit the growth and invasion of OS in human and improve the survival rate.
In many other types of tumors such as esophageal squamous cell carcinoma, breast cancer, colon cancer, prostate cancer, and ovarian carcinoma, many researches confirm miR-143 is a tumor suppressor . In addition, some studies have found that miR-143 can also inhibit tumor growth and invasion in other sarcomas. Urdinez et al. reported that miR-143 could decrease expression of BCL2, TOP2A, PRC1, and PLK1 to inhibit liposarcoma cell proliferation and induce liposarcoma cell apoptosis . De Vito et al. reported miRNA-143 inhibited Ewing sarcoma family tumor cancer stem cell clonogenicity and tumor growth by targeting TARBP2 .
Recent studies have shown that noncoding RNAs also plays an important role in musculoskeletal diseases. For example, specific miRNA can regulate the expression of cytokines and coordinate the proliferation and differentiation of stromal cell lines involved in the composition of extracellular matrix , and siRNA also can be used to study the repair process of tendon and identify possible therapeutic targets in tendon healing . In addition, miRNA may be involved in the diagnosis and treatment of osteoarthritis . The main limitation of our research is that some results were related to the high heterogeneity of animal experiments. But the heterogeneity was acceptable due to different researchers, different laboratories, different techniques, and small size. In addition, for the results of high heterogeneity, we used a random-effects model. Another factor is the lack of relevant literature, which may affect the reliability of the results.
We found that miR-143 could inhibit OS growth, prevent tumor metastasis and improve survival rate by analyzing the results of studies about mice and patients. Therefore, miR-143 may have potentially great value as a treatment and prognostic biological marker for OS. This will provide strong evidence for the development of animal experiments and clinical treatment of OS in the future. However, before converting miR-143 based treatments from animal research to human applications, more reliable animal and clinical trials are needed.
Availability of data and materials
All data are fully available without restriction.
China national knowledge infrastructure
Preferred reporting items for systematic reviews and meta-analysis
Standard mean difference
Randomized controlled trials
Wen JF, Jiang YQ, Li C, Dai XK, Wu T, Yin WZ. LncRNA-SARCC sensitizes osteosarcoma to cisplatin through the miR-143-mediated glycolysis inhibition by targeting Hexokinase 2. Cancer Biomark Sect A Dis Mark. 2020;28(2):231–46.
Sasaki R, Osaki M, Okada F. Microrna-based diagnosis and treatment of metastatic human osteosarcoma. Cancers. 2019;11(4):553.
Shimbo K, Miyaki S, Ishitobi H, Kato Y, Kubo T, Shimose S, Ochi M. Exosome-formed synthetic microRNA-143 is transferred to osteosarcoma cells and inhibits their migration. Biochem Biophys Res Commun. 2014;445(2):381–7.
Hirahata M, Osaki M, Kanda Y, Sugimoto Y, Yoshioka Y, Kosaka N, Takeshita F, Fujiwara T, Kawai A, Ito H, et al. PAI-1, a target gene of miR-143, regulates invasion and metastasis by upregulating MMP-13 expression of human osteosarcoma. Cancer Med. 2016;5(5):892–902.
Yu X, Hu L, Li SY, Shen J, Wang DL, Xu RJ, Yang HL. Long non-coding RNA Taurine upregulated gene 1 promotes osteosarcoma cell metastasis by mediating HIF-1 alpha via miR-143-5p. Cell Death Dis. 2019;10:1–3.
Hou Y, Feng HL, Jiao JB, Qian LG, Sun B, Chen PT, Li QG, Liang ZX. Mechanism of miR-143-3p inhibiting proliferation, migration and invasion of osteosarcoma cells by targeting MAPK7. Artif Cells Nanomed Biotechnol. 2019;47(1):2065–71.
Sun XR, Dai G, Yu L, Hu QZ, Chen JT, Guo WC. miR-143-3p inhibits the proliferation, migration and invasion in osteosarcoma by targeting FOSL2. Sci Rep. 2018;8:1–10.
Ouyang L, Liu P, Yang SH, Ye SN, Xu WH, Liu XZ. A three-plasma miRNA signature serves as novel biomarkers for osteosarcoma. Med Oncol. 2013;30(1):1–7.
Hesse E, Taipaleenmäki H. MicroRNAs in bone metastasis. Curr Osteoporos Rep. 2019;17(3):122–8.
Rao Q, Zhou H, Peng Y, Li J, Lin Z. Aberrant microRNA expression in human cervical carcinomas. Med Oncol. 2012;29(2):1242–8.
Záveský L, Jandáková E, Weinberger V, Hanzíková V, Slanař O, Kohoutová M: Ascites in ovarian cancer: MicroRNA deregulations and their potential roles in ovarian carcinogenesis. Cancer Biomark Sect A Dis Mark 2021.
Balachandran AA, Larcher LM, Chen S, Veedu RN. Therapeutically Significant MicroRNAs in Primary and Metastatic Brain Malignancies. Cancers (Basel). 2020;12(9):2534.
Karmakar S, Kaushik G, Nimmakayala R, Rachagani S, Ponnusamy MP, Batra SK. MicroRNA regulation of K-Ras in pancreatic cancer and opportunities for therapeutic intervention. Semin Cancer Biol. 2019;54:63–71.
Han QC, Yang J, Yang H, Li C, Li J, Cao Y. KIAA1429 promotes osteosarcoma progression by promoting stem cell properties and is regulated by miR-143-3p. Cell Cycle. 2020;19(10):1172–85.
Dong XC, Lv B, Li YS, Cheng QH, Su C, Yin GY. MiR-143 regulates the proliferation and migration of osteosarcoma cells through targeting MAPK7. Arch Biochem Biophys. 2017;630:47–53.
Kuntze G, Nesbitt C, Whittaker JL, Nettel-Aguirre A, Toomey C, Esau S, Doyle-Baker PK, Shank J, Brooks J, Benseler S, et al. Exercise therapy in juvenile idiopathic arthritis: a systematic review and meta-analysis. Arch Phys Med Rehabil. 2018;99(1):178-193.e171.
Macleod MR, O’Collins T, Horky LL, Howells DW, Donnan GA. Systematic review and metaanalysis of the efficacy of FK506 in experimental stroke. J Cereb Blood Flow Metabol. 2005;25(6):713–21.
Hooijmans CR, Rovers MM, de Vries RB, Leenaars M, Ritskes-Hoitinga M, Langendam MW. SYRCLE’s risk of bias tool for animal studies. BMC Med Res Methodol. 2014;14:43.
Stang A, Jonas S, Poole C. Case study in major quotation errors: a critical commentary on the Newcastle–Ottawa scale. Eur J Epidemiol. 2018;33(11):1025–31.
Ugras S, Brill E, Jacobsen A, Hafner M, Socci ND, DeCarolis PL, Khanin R, O’Connor R, Mihailovic A, Taylor BS, et al. Small RNA sequencing and functional characterization reveals microrna-143 tumor suppressor activity in liposarcoma. Can Res. 2011;71(17):5659–69.
De Vito C, Riggi N, Cornaz S, Suvà ML, Baumer K, Provero P, Stamenkovic I. A TARBP2-dependent miRNA expression profile underlies cancer stem cell properties and provides candidate therapeutic reagents in Ewing sarcoma. Cancer Cell. 2012;21(6):807–21.
Urdinez J, Boro A, Mazumdar A, Arlt MJE, Muff R, Botter SM, Bode-Lesniewska B, Fuchs B, Snedeker JG, Gvozdenovic A. The miR-143/145 cluster, a novel diagnostic biomarker in chondrosarcoma, acts as a tumor suppressor and directly inhibits fascin-1. J Bone Miner Res. 2020;35:1077–91.
Kapodistrias N, Mavridis K, Batistatou A, Gogou P, Karavasilis V, Sainis I, Briasoulis E, Scorilas A. Assessing the clinical value of microRNAs in formalin-fixed paraffin-embedded liposarcoma tissues: overexpressed miR-155 is an indicator of poor prognosis. Oncotarget. 2017;8(4):6896–913.
Jerez S, Araya H, Hevia D, Irarrázaval CE, Thaler R, van Wijnen AJ, Galindo M. Extracellular vesicles from osteosarcoma cell lines contain miRNAs associated with cell adhesion and apoptosis. Gene. 2019;710:246–57.
Zhao H, Yang P, Wang J, Zhang YQ, Zhang MC, Wang ZJ, Fu Q, Liang WG. Clinical significance of tumor miR-21, miR-221, miR-143, and miR-106a as biomarkers in patients with osteosarcoma. Int J Biol Markers. 2019;34(2):184–93.
Zhang H, Wang GC, Ding C, Liu P, Wang RK, Ding WB, Tong DK, Wu DJ, Li C, Wei Q, et al. Increased circular RNA UBAP2 acts as a sponge of miR-143 to promote osteosarcoma progression. Oncotarget. 2017;8(37):61687–97.
Li DC, Zhang F, Yan WJ. Effect of miR-143 on proliferation of osteosarcoma cells under low dosage cisplatin. Int J Clin Exp Pathol. 2016;9(1):124–8.
Li WH, Wu HJ, Li YX, Pan HG, Meng T, Wang X. MicroRNA-143 promotes apoptosis of osteosarcoma cells by caspase-3 activation via targeting Bcl-2. Biomed Pharmacother. 2016;80:8–15.
Liu H, Wang HL, Liu HC, Chen YZ. Effect of miR-143 on the apoptosis of osteosarcoma cells. Int J Clin Exp Pathol. 2015;8(11):14241–6.
Zhou JH, Wu S, Chen YX, Zhao JF, Zhang KX, Wang JL, Chen SJ. microRNA-143 is associated with the survival of ALDH1(+)CD133(+) osteosarcoma cells and the chemoresistance of osteosarcoma. Exp Biol Med. 2015;240(7):867–75.
Fang YC, Zhang ZQ, Wang Q, Zhao JN. Expression and clinical significance of cyclooxygenase-2 and microRNA-143 in osteosarcoma. Exp Ther Med. 2015;9(6):2374–8.
Li S, Li F, Cheng T. TGF-β1 promotes osteosarcoma cell migration and invasion through the miR-143-versican pathway. Cell Physiol Biochem. 2014;34(6):2169–79.
Wang Q, Cai J, Wang JC, Xiong CZ, Zhao JN. MiR-143 inhibits EGFR-signaling-dependent osteosarcoma invasion. Tumor Biol. 2014;35(12):12743–8.
Ye Z, Jingzhong L, Yangbo L, Lei C, Jiandong Y. Propofol inhibits proliferation and invasion of osteosarcoma cells by regulation of microRNA-143 expression. Oncol Res. 2013;21(4):201–7.
Li YG, Zhang JR, Zhang L, Si M, Yin H, Li JM. Diallyl trisulfide inhibits proliferation, invasion and angiogenesis of osteosarcoma cells by switching on suppressor microRNAs and inactivating of Notch-1 signaling. Carcinogenesis. 2013;34(7):1601–10.
Hu H, Zhang Y, Cai XH, Huang JF, Cai L. Changes in microRNA expression in the MG-63 osteosarcoma cell line compared with osteoblasts. Oncol Lett. 2012;4(5):1037–42.
Osaki M, Takeshita F, Sugimoto Y, Kosaka N, Yamamoto Y, Yoshioka Y, Kobayashi E, Yamada T, Kawai A, Inoue T, et al. MicroRNA-143 regulates human osteosarcoma metastasis by regulating matrix metalloprotease-13 expression. Mol Ther J Am Soc Gene Ther. 2011;19(6):1123–30.
Zhang H, Cai XB, Wang Y, Tang H, Tong DK, Ji F. microRNA-143, down-regulated in osteosarcoma, promotes apoptosis and suppresses tumorigenicity by targeting Bcl-2. Oncol Rep. 2010;24(5):1363–9.
Wu K, Feng Q, Li L, Xiong Y, Liu S, Liu J, Wu Q. Long-Noncoding RNA PCAT6 aggravates osteosarcoma tumourigenesis via the MiR-143-3p/ZEB1 Axis. Onco Targets Ther. 2020;13:8705–14.
Chen B, Huang Z, Zhang Y, Chen Y, Li Z. MicroRNA-145 suppresses osteosarcoma metastasis via Targeting MMP16. Cell Physiol Biochem. 2015;37(6):2183–93.
Zhang QQ, Xu SL, Ding C, Ma CC, Yuan TS, Hua CC, Wang XH. LncRNA FOXD2-AS1 knockdown inhibits the resistance of human osteosarcoma cells to cisplatin by inhibiting miR-143 expression. Eur Rev Med Pharmacol Sci. 2021;25(2):678–86.
Li F, Chen X, Shang C, Ying Q, Zhou X, Zhu R, Lu H, Hao X, Dong Q, Jiang Z. Bone marrow mesenchymal stem cells-derived extracellular vesicles promote proliferation, invasion and migration of osteosarcoma cells via the lncRNA MALAT1/miR-143/NRSN2/Wnt/β-Catenin Axis. Onco Targets Ther. 2021;14:737–49.
Bi F, Chen C, Fu J, Yu L, Geng J. Inhibiting proliferation and metastasis of osteosarcoma cells by downregulation of long non-coding RNA colon cancer-associated transcript 2 targeting microRNA-143. Oncol Lett. 2021;21(4):265.
Yang L, Li H, Huang A: MiR-429 and MiR-143-3p Function as Diagnostic and Prognostic Markers for Osteosarcoma. Clin Lab 2020, 66(10).
Giordano L, Porta GD, Peretti GM, Maffulli N. Therapeutic potential of microRNA in tendon injuries. Br Med Bull. 2020;133(1):79–94.
Gargano G, Oliviero A, Oliva F, Maffulli N. Small interfering RNAs in tendon homeostasis. Br Med Bull. 2021;138(1):58–67.
Oliviero A, Della Porta G, Peretti GM, Maffulli N. MicroRNA in osteoarthritis: physiopathology, diagnosis and therapeutic challenge. Br Med Bull. 2019;130(1):137–47.
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Zhang, P., Zhang, J., Quan, H. et al. MicroRNA-143 expression inhibits the growth and the invasion of osteosarcoma. J Orthop Surg Res 17, 236 (2022). https://doi.org/10.1186/s13018-022-03127-z