Literature DB >> 27073323

Aberrant expression of microRNA-99a and its target gene mTOR associated with malignant progression and poor prognosis in patients with osteosarcoma.

Jiali Zhao1, Fengli Chen2, Quan Zhou3, Wei Pan3, Xinhong Wang3, Jin Xu3, Li Ni4, Huilin Yang4.   

Abstract

BACKGROUND: The mammalian target of rapamycin (mTOR) has been reported to act as a target gene of microRNA (miR)-99a in various cancer cells and identified as an independent prognostic marker of human osteosarcoma. The aim of this study was to investigate the clinical significance of miR-99a/mTOR axis in human osteosarcoma.
METHODS: A total of 130 pairs of osteosarcoma and matched noncancerous bone tissues were used to detect the expression levels of miR-99a and mTOR mRNA by quantitative real-time polymerase chain reaction. Then, associations of miR-99a and/or mTOR expression with clinico-pathological features and prognosis of patients with osteosarcoma were statistically analyzed.
RESULTS: The expression levels of miR-99a (tumor vs normal: 2.11±1.03 vs 4.69±1.21, P<0.001) and mTOR mRNA (tumor vs normal: 4.40±1.13 vs 1.74±0.85, P<0.001) in osteosarcoma tissues were, respectively, lower and higher than those in noncancerous bone tissues. The expression levels of miR-99a in osteosarcoma tissues were negatively correlated with those of mTOR mRNA. Additionally, miR-99a-low and/or mTOR-high expression were all significantly associated with advanced surgical stage, positive metastasis and recurrence, and poor response to chemotherapy (all P<0.05). Moreover, patients with osteosarcoma with miR-99a-low and/or mTOR-high expression had shorter overall and disease-free survivals than those in miR-99a-high and/or mTOR-low expression groups. Multivariate Cox analyses showed that miR-99a and/or mTOR expression were all independent prognostic factors of osteosarcoma.
CONCLUSION: Our data showed the crucial role of miR-99a/mTOR axis in the malignant progression of human osteosarcoma, implying that conjoined expression of miR-99a and mTOR may offer an attractive novel prognostic marker for this disease.

Entities:  

Keywords:  mammalian target of rapamycin; microRNA-99a; osteosarcoma; prognosis; quantitative real-time PCR

Year:  2016        PMID: 27073323      PMCID: PMC4806763          DOI: 10.2147/OTT.S102421

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Osteosarcoma, the most frequent primary malignant sarcoma of the bone in adolescents and young adults, derives from primitive bone-forming mesenchyme.1 This disease has an estimated annual incidence rate of 4 million worldwide.2 Despite great progress in therapeutic strategies, including surgery, adjuvant chemotherapy, radiotherapy, and biological therapy, the prognosis of patients with osteosarcoma remains unsatisfactory due to bone destruction, neoplastic bone formation, and pulmonary metastasis.3 Approximately 80% of patients with osteosarcoma eventually develop recurrent metastatic osteosarcoma following surgical operation, and the 3-year survival rate after pulmonary metastasectomy is ~30%.4 Several clinicopathological features, such as tumor size, response to chemotherapy, and metastasis status, have been used as prognostic indicators for patients with osteosarcoma, but they lack sensitivity and specificity. Similar to other malignancies, it is a multistep process with accumulation of complex molecular changes in the development and progression of osteosarcoma. However, the underlying molecular mechanism of this disease has not been fully elucidated. MicroRNAs (miRs), a class of endogenous, noncoding, short (18–25 nucleotides in length), single-stranded RNA molecules, are regarded as negative regulators of gene expression at the posttranscriptional level through binding to the 3′ untranslated region of target mRNAs, leading to translational inhibition and/or mRNA degradation.5,6 Growing evidence shows that miRs play crucial roles in various cellular processes, including development, cell growth, proliferation, differentiation, cell cycle, and apoptosis.7 In addition to the involvement in these biological processes, accumulating studies have reported that the dysregulation of miRs can contribute to a number of diseases, including cancer. Several miRs have been found to be upregulated or downregulated in several cancer tissues compared with the normal tissues of origin, implying that these miRs may function as either oncogenes or tumor suppressors with a cancer-specific manner.8,9 miR-99a, together with miR-100, belongs to the miR-99 family, which has been reported to be implicated into carcinogenesis and cancer progression of various human malignancies. miR-99a, located in intron 13 of the C21orf34 gene at chromosome 21q,10 has been observed to be deregulated in head and neck squamous cell carcinoma,11 squamous cell lung carcinoma,12–14 hepatocellular carcinoma,15 ovarian carcinoma,16 bladder cancer,17,18 and prostate cancer19 and has been reported to exert an antitumor activity in these malignancies. Mammalian target of rapamycin (mTOR), an evolutionarily conserved serine/threonine protein kinase, belongs to the phosphoinositide-3-kinase (PI3 K)-related kinase family.20 mTOR mainly controls protein synthesis via phosphorylation of its downstream targets and interacts with several proteins to form two distinct complexes: mTOR complex 1 and 2.21 Recent studies have indicated that the dysregulation of the mTOR signaling pathway may be involved in various human cancers with gain- or loss-of-function mutants leading to neoplastic transformation.22–30 Our research group previously found that the aberrant expression of mTOR might be an independent prognostic marker of human osteosarcoma.31 Although mTOR has been reported to be a target gene of miR-99a,32–34 the involvement of miR-99a in human osteosarcoma remains unclear. Thus, the aim of this study was to investigate the clinical significance of miR-99a/mTOR axis in this disease.

Materials and methods

Patients and tissue samples

The collection and the use of all tissue samples in the present study were approved by the Research Ethics Committee of The Affiliated Huai’an Hospital of Xuzhou Medical College, People’s Republic of China (No HA20130068). Written informed consent was obtained from all the patients. All specimens were handled and made anonymous according to the ethical and legal standards. A total of 130 tumor tissues and self-matched noncancerous bone tissues collected from 130 patients with osteosarcoma were retrospectively enrolled according to the surgical pathology records of The Affiliated Huai’an Hospital of Xuzhou Medical College, from 2000 to 2008. The patients received X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and bone scintigraphy for the diagnosis. All the tumors were confirmed pathologically from the specimens obtained from surgery. All the tissues analyzed were obtained after treatment with neoadjuvant chemotherapy. All patients received the uniform preoperative multiagent chemotherapy following the initial biopsy. The cytotoxic drugs used as preoperative chemotherapy were cis-diamminedichloroplatinum, adriamycin, vincristine, ifosfamide, and high-dose methotrexate. The resected specimens were analyzed histologically for response to chemotherapy according to the criteria released previously; the corresponding clinical information was obtained from medical records.35 The clinical and pathologic parameters were obtained from the pathological reports and presented in Table 1.
Table 1

Associations of miR-99a and/or mTOR mRNA expressions with the clinicopathological characteristics of primary osteosarcoma

Clinicopathological characteristicsNo of patients (n, %)miR-99a-low (%)P-valuemTOR-high (%)P-valuemiR-99a-low/mTOR-high (%)P-value
Age (years)
 <2058 (44.62)30 (51.72)NS30 (51.72)NS20 (34.48)NS
 ≥2072 (55.38)40 (55.56)38 (52.78)28 (38.89)
Sex
 Male92 (70.77)50 (54.35)NS47 (51.09)NS32 (34.78)NS
 Female38 (29.23)20 (52.63)21 (55.26)16 (42.11)
Tumor size
 ≤5 cm60 (46.15)32 (53.33)NS30 (50.00)NS20 (33.33)NS
 .5 cm70 (53.85)38 (54.29)38 (54.29)28 (40.00)
Tumor location
 Femur60 (46.15)32 (53.33)NS32 (53.33)NS23 (38.33)NS
 Tibia40 (30.77)22 (55.00)20 (50.00)15 (37.50)
 Humerus24 (18.45)13 (54.17)13 (54.17)8 (33.33)
 Fibula6 (4.62)3 (50.00)3 (50.00)2 (33.33)
Surgical stage
 IIA55 (42.31)20 (36.36)0.0120 (36.36)0.0110 (18.18)0.008
 IIB/III75 (57.69)50 (66.67)48 (64.00)38 (50.67)
Metastasis
 No73 (56.15)21 (28.77)0.00618 (24.66)0.0056 (8.22)0.002
 Yes57 (43.85)49 (85.96)50 (87.72)42 (73.68)
Recurrence
 No76 (58.46)25 (32.89)0.0122 (28.95)0.0068 (10.53)0.002
 Yes54 (41.54)45 (83.33)46 (85.19)40 (74.07)
Histological subtype
 Osteoblastic70 (53.85)35 (50.00)NS35 (50.00)NS25 (35.71)NS
 Chondroblastic28 (21.54)16 (57.14)16 (57.14)10 (35.71)
 Fibroblastic21 (16.15)12 (57.14)11 (52.38)7 (33.33)
 Mixed type6 (4.62)4 (66.67)3 (50.00)3 (50.00)
 Small type5 (3.85)3 (60.00)3 (60.00)3 (60.00)
Response to chemotherapy
 Good75 (53.85)30 (40.00)0.0228 (37.33)0.0210 (13.33)0.01
 Poor55 (46.15)40 (72.73)40 (72.73)38 (69.09)

Abbreviations: miR, microRNA; NS, not significant.

All 130 patients with osteosarcomas underwent follow-up from 3 months to 102 months (median, 48 months). The follow-up was ended on June 30, 2013. Patients were monitored with CT performed every 3 months during the first 3 years after chemotherapy, every 4 months during years 4 and 5, and every 6 months thereafter. The development of local recurrence and distant metastases was detected by CT scans or MRI. All cases were independently reviewed by two pathologists and discrepancies resolved by consensus review. Of 130 patients with osteosarcomas, 88 (67.69%) patients were alive and 42 (32.31%) patients had died of the disease. Overall survival time was calculated from the date of the initial surgical operation to death. Disease-free survival was calculated from the date of the initial surgical operation to the date of second cancer, tumor recurrence, distant metastases, or death from any cause.

Quantitative real-time polymerase chain reaction

The expression levels of miR-99a and mTOR mRNA in 130 pairs of osteosarcoma and matched noncancerous bone tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Total RNA in fresh tissues was extracted by using TRIzol reagent (Thermo Fisher Scientific, Waltham, MA, USA) based on the manufacturer’s instructions. For the detection of miR-99a and RNU6B used as internal controls, TaqMan MicroRNA Assays (Thermo Fisher Scientific) with primers specific to miR-99a and RNU6B were used. Reverse transcription was performed using One Step PrimeScript miRNA cDNA Synthesis Kit (Thermo Fisher Scientific), and qRT-PCR was performed using SYBR Premix Ex TaqII (Thermo Fisher Scientific). qRT-PCR primer sequences were as follows: miR-99a, forward 5′-GGA ACC CGT AGA TCC GAT-3′ and reverse 5′-GTG CAG GGT CCG AGG T-3′; RNU6B, forward 5′-ACA GUA GUC UGC ACA UUG GUU A-3′ and reverse 5′-ACG CAA ATT CGT GAA GCG TT-3′. For the detection of mTOR mRNA and β-actin mRNA used as internal controls, reverse transcription was performed using PrimeScript RT Master Mix (Thermo Fisher Scientific), and qRT-PCR was carried out using SYBR Premix Ex Taq II (Thermo Fisher Scientific). qRT-PCR primer sequences were as follows: mTOR, forward 5′-AGA TTT AAT GGA GGC CCA GG-3′ and reverse 5′-GGC CTC TGT TTG GAT GTG AT-3′; β-actin, forward 5′-GGT CAG AAG GAC TCC TAT GTG G-3′ and reverse 5′-TGT CGT CCC AGT TGG TAA CA-3′. qRT-PCR was performed using an ABI 7500 Real-Time PCR Detection System (Thermo Fisher Scientific). The threshold cycle (Ct) was defined as the fractional cycle number at which the fluorescence passed the fixed threshold. Each sample was detected three times, and the relative expression level of miR-99a/mTOR to RNU6/β-actin was calculated using the method, where ΔCt = (Ct miR-99a//Ct RNU6/). The median values of miR-99a and mTOR mRNA expression levels in osteosarcoma tissues were used as cutoff points for dividing miR-99a-low/high groups and mTOR-low/high groups, respectively.

Statistical analysis

SPSS software for Windows (version 13.0; SPSS Inc., Chicago, IL, USA) was used to perform statistical analyses in this study. Fisher’s exact test was used for any 2×2 tables, Pearson χ2 test for non-2×2 tables, chi-square trend test for ordinal datum, and Kaplan–Meier and Cox regression methods for the question of survival analysis. Spearman’s rank correlation is used to analyze the correlation between the expression of miR-99a and mTOR mRNA. Differences were considered statistically significant when P- was <0.05.

Results

Dysregulation of miR-99a/mTOR axis in human osteosarcoma tissues

The expression levels of miR-99a (tumor vs normal: 2.11±1.03 vs 4.69±1.21, P<0.001; Figure 1A) and mTOR mRNA (tumor vs normal: 4.40±1.13 vs 1.74±0.85, P<0.001; Figure 1A) in osteosarcoma tissues were, respectively, lower and higher than those in noncancerous bone tissues. Of 130 patients with osteosarcoma, 70 (53.85%) and 68 (52.31%) had low miR-99a expression and high mTOR mRNA expression, respectively; 20 (15.38%) had both high expression of miR-99a and mTOR; 22 (16.92%) had both low expression of miR-99a and mTOR; 40 (30.77%) had miR-99a-high and mTOR-low expression; and 48 (36.92%) had miR-99a-low and mTOR-high expression. The expression levels of miR-99a in osteosarcoma tissues were negatively correlated with those of mTOR mRNA (r=−0.36, P=0.02; Figure 1B).
Figure 1

Dysregulation of miR-99a/mTOR axis in human osteosarcoma tissues.

Notes: (A) miR-99a (tumor vs normal: 2.11±1.03 vs 4.69±1.21, P<0.001) and mTOR mRNA (tumor vs normal: 4.40±1.13 vs 1.74±0.85, P<0.001) expression levels in osteosarcoma tissues were, respectively, lower and higher than those in noncancerous bone tissues. (B) Expression levels of miR-99a in osteosarcoma tissues were negatively correlated with those of mTOR mRNA (r=−0.36, P=0.02).

Abbreviation: miR, microRNA.

Dysregulation of miR-99a/mTOR axis associates with malignant progression of human osteosarcoma

Table 1 summarized the associations of miR-99a and/or mTOR mRNA expression with the clinicopathological characteristics of patients with osteosarcoma. The statistical analyses revealed that miR-99a-low and/or mTOR-high expression were all significantly associated with advanced surgical stage, positive metastasis and recurrence, and poor response to chemotherapy (all P<0.05). There was no significant associations with age, sex, tumor size, tumor location, or histological subtype (all P>0.05; Table 1).

Dysregulation of miR-99a/mTOR axis predicts poor prognosis in human osteosarcoma

Associations of miR-99a and/or mTOR expression in osteo sarcoma tissues with patients’ prognosis were further evaluated by Kaplan–Meier analysis and log-rank test. As shown in Figure 2, patients with osteosarcoma with low miR-99a expression and high mTOR expression had both shorter disease-free survival (Figure 2A and C, respectively, both P<0.001) and shorter overall survival (Figure 2B and D, respectively, both P<0.001) than those with high miR-99a expression and low mTOR expression. The association between the combined expression of miR-99a/mTOR and the survival rates was also tested by Kaplan–Meier analysis. The results by pairwise comparisons showed that miR-99a-low/mTOR-high subjects had the poorest prognosis in miR-99a-low (high)/mTOR-high (low) groups (P<0.001; Figure 2E and F).
Figure 2

Associations of miR-99a expression (A and B), mTOR expression (C and D) and the co-expression of miR-99a/mTOR (E) and (F) with disease-free and overall survivals of patients with primary osteosarcoma.

Abbreviation: miR, microRNA.

Moreover, univariate analysis showed that the advanced surgical stage, positive recurrence and metastasis, miR-99a low expression, mTOR mRNA high expression, the combined miR-99a-low/mTOR-high expression, and the poor response to chemotherapy were all significantly correlated with poor overall survival (P≤0.001, P≤0.006, P<0.001, P<0.001, P<0.001, and P<0.001, respectively; Table 2) and disease-free survival (P≤0.001, P≤0.01, P<0.001, P<0.001, P<0.001, and P<0.001, respectively; Table 2) of patients with osteosarcoma.
Table 2

Univariate analysis of prognostic parameters in patients with osteosarcomas by Cox regression analysis

VariablesOverall survival
Disease-free survival
P-valueRRP-valueRR
Age at diagnosis (years)
 <20 vs ≥200.1250.6910.1180.651
Sex
 Male vs female0.1120.9160.1100.846
Tumor size (cm)
 <5.0 vs ≥5.00.3120.5680.3100.521
Tumor location
 Femur vs tibia and others0.2000.8990.2130.887
Surgical stage
 IIA vs IIB/III<0.0018.782<0.0018.312
Histological subtype
 Osteoblastic vs others0.1160.9250.1190.921
Recurrence
 No vs yes0.0064.7320.014.098
Metastasis
 No vs yes<0.0018.279<0.0018.132
Response to chemotherapy
 Good vs poor<0.0018.026<0.0017.969
miR-99a expression
 Low vs high<0.0018.822<0.0018.066
mTOR expression
 Low vs high<0.0017.813<0.0017.268
miR-99a/mTOR expression
 miR-99a-low/mTOR-high vs others<0.0018.826<0.0018.292

Abbreviations: miR, microRNA; RR, relative risk.

Furthermore, multivariate analysis as shown in Table 3 showed that the surgical stage (both P=0.001), the status of recurrence (both P=0.022) and metastasis (P=0.009 and P=0.013, respectively), miR-99a expression (both P=0.01), mTOR mRNA expression (both P=0.01), the combined miR-99a/mTOR expression (both P=0.001), and the response to chemotherapy (P=0.011 and P=0.016, respectively) were all independent prognostic factors for overall and disease-free survivals.
Table 3

Multivariate analysis of prognostic parameters in patients with osteosarcomas by Cox regression analysis

Prognostic factorsOverall survival
Disease-free survival
Relative risk(95% confidence interval)P-valueRelative risk(95% confidence interval)P-value
Recurrence2.167 (0.980–4.561)0.0222.020 (0.972–4.416)0.022
Surgical stage6.668 (1.310–14.968)0.0016.392 (1.286–14.129)0.001
Metastasis5.020 (1.051–11.109)0.0095.006 (1.109–11.088)0.013
Response to chemotherapy3.252 (0.932–7.867)0.013.158 (0.973–7.567)0.01
miR-99a expression5.232 (1.022–12.398)0.015.176 (1.003–11.928)0.01
mTOR expression5.312 (1.021–12.299)0.015.229 (1.033–12.018)0.01
miR-99a/mTOR expression6.891 (1.398–15.296)0.0016.693 (1.312–14.895)0.001

Abbreviation: miR, microRNA.

Discussion

Screening novel markers for human osteosarcoma may be essential for the accurate identification of the biological features of tumors, the improvement of targeted therapies, and the prediction of patients’ outcome. Growing evidence shows that the dysregulation of miR–target mRNA axis can contribute to tumorigenesis, tumor progression, and prognosis. In the current study, we demonstrated that miR-99a and its target gene mTOR were, respectively, expressed at low and high levels in clinical osteosarcoma tissues. The downregulation of miR-99a expression and the upregulation of mTOR mRNA, alone or in combination, were all significantly correlated with the recurrence, the metastasis, and the response to chemotherapy of patients with osteosarcoma. Using multivariate Cox regression analysis, the aberrant expression of miR-99a and/or mTOR mRNA was shown to be independent predictors for worse prognosis in patients with osteosarcoma. To the best of our knowledge, this is the first time to determine the expression patterns and clinical significance of miR-99a/mTOR axis in the progression and prognosis of human osteosarcoma. miR-99a has been reported to be frequently lost or expressed at a reduced level and to function as a tumor suppressor in various human cancers. For example, Wu et al17 found that miR-99a inhibited cell proliferation, migration, and invasion in bladder cancer cell lines by directly targeting fibroblast growth factor receptor 3. Yu et al12 reported that miR-99a was downregulated in non-small-cell lung cancer tissues, which was significantly associated with last-stage and tumor metastasis in patients with this malignancy. Further functional experiments also found that the overexpression of miR-99a could inhibit cell proliferation, migration, and invasion of non-small-cell lung cancer cells in vitro and tumor metastasis of non-small-cell lung cancer in vivo. Wang et al36 indicated that the reduced miR-99a expression was highly associated with lymph node metastasis and shorter overall survival of patients with breast cancer. Gain- and loss-of-function studies of this research group revealed that miR-99a efficiently inhibited breast cancer cell proliferation, migration, and invasion. Li et al15 showed that miR-99a expression was correlated with the survival of patients with hepatocellular carcinoma, and the restoration of this miR suppressed the growth of hepatocellular carcinoma cells in vitro and in vivo by targeting insulin-like growth factor 1 receptor and mTOR. Cui et al37 found that miR-99a was remarkably downregulated in renal cell carcinoma and low expression level of miR-99a was correlated with poor survival of patients with renal cell carcinoma. Further functional experiments of these authors validated the inhibitory effects of miR-99a on the growth of cancer cells, clonability, migration, and invasion as well as induced G1-phase cell cycle arrest in vitro, and the tumor growth in murine xenograft models. Jiang et al16 also observed that the overexpression of miR-99a could significantly inhibit epithelial ovarian cancer cell proliferation in vitro by decreasing the expression of FGFR3. Although these previous findings suggest the important roles of miR-99a in the suppression of tumor aggressive progression and malignant phenotypes of multiple cancer types, its definite function of human osteosarcoma has not been described yet. Recent functional analyses have shown the regulatory effect of miR-99a on mTOR and identified mTOR as a direct target of miR-99a.24–26 For example, Gu et al38 found that the transfection of miR-99a mimics could induce the decreased expression of mTOR protein in human lung adenocarcinoma cells, while transfection of miR-99a inhibitor could induce the increased expression of mTOR protein, implying that mTOR was a direct target of miR-99a in lung adenocarcinoma cells. Yang et al24 performed the qRT-PCR, and Western blot assays indicated that the overexpression of miR-99a could suppress the expression of mTOR in breast cancer cells. Huang et al10 also confirmed the regulatory effects of miR-99a on mTOR in human anaplastic thyroid cancer by luciferase assay. Our research group performed the immunohistochemistry and confirmed the overexpression of mTOR protein in osteosarcoma tissues. We also found the significant associations between mTOR overexpression and tumor progression and prognosis in patients with osteosarcoma.23 These previous findings prompted us to investigate the clinical significance of miR-99a/mTOR interaction in this malignancy. Here, our results showed that miR-99a was decreased, while mTOR mRNA was increased in osteosarcoma tissues. We also proved that the relative expression levels of miR-99a and mTOR mRNA, alone or in combination, were also associated with advanced clinicopathological characteristics of patients with osteosarcoma. Moreover, miR-99a low and mTOR mRNA high expressions were both correlated with shorter overall and disease-free survivals and could be independent prognostic factors in patients with osteosarcoma. More interestingly, we also found that the patients with osteosarcoma with miR-99a-high/mTOR-low expression, among four different statuses of miR-99a/mTOR co-expression, had the best outcome, while the miR-99a-low/mTOR-high had the worst. Multivariate analysis revealed that the miR-99a-low/mTOR-high co-expression may be an independent prognostic indicator for osteosarcoma. The advantages of miR-99a/mTOR co-expression to individual miR-99a or mTOR in predicting the outcome of osteosarcoma have been shown in our result.

Conclusion

In conclusion, our data reveal the crucial role of miR-99a/mTOR axis in the malignant progression of human osteosarcoma, implying that conjoined expression of miR-99a and mTOR may offer an attractive novel prognostic marker for this disease.
  38 in total

1.  P53 suppresses cell proliferation, metastasis, and angiogenesis of osteosarcoma through inhibition of the PI3K/AKT/mTOR pathway.

Authors:  Ruipeng Song; Ke Tian; Weidong Wang; Limin Wang
Journal:  Int J Surg       Date:  2015-04-30       Impact factor: 6.071

Review 2.  PI3K/Akt/mTOR signaling pathway in cancer stem cells: from basic research to clinical application.

Authors:  Pu Xia; Xiao-Yan Xu
Journal:  Am J Cancer Res       Date:  2015-04-15       Impact factor: 6.166

3.  Down-regulation of the microRNA-99 family members in head and neck squamous cell carcinoma.

Authors:  Zujian Chen; Yi Jin; Dongsheng Yu; Anxun Wang; Ishrat Mahjabeen; Cheng Wang; Xiqiang Liu; Xiaofeng Zhou
Journal:  Oral Oncol       Date:  2012-03-17       Impact factor: 5.337

4.  miR-99a directly targets the mTOR signalling pathway in breast cancer side population cells.

Authors:  Z Yang; Y Han; K Cheng; G Zhang; X Wang
Journal:  Cell Prolif       Date:  2014-10-27       Impact factor: 6.831

5.  MicroRNA-99a inhibits hepatocellular carcinoma growth and correlates with prognosis of patients with hepatocellular carcinoma.

Authors:  Dong Li; Xingguang Liu; Li Lin; Jin Hou; Nan Li; Chunmei Wang; Pin Wang; Qian Zhang; Peng Zhang; Weiping Zhou; Zhengxin Wang; Guoshan Ding; Shi-Mei Zhuang; Limin Zheng; Wenzhao Tao; Xuetao Cao
Journal:  J Biol Chem       Date:  2011-08-30       Impact factor: 5.157

6.  MiR-99a Inhibits Cell Proliferation and Tumorigenesis through Targeting mTOR in Human Anaplastic Thyroid Cancer.

Authors:  Hou-Gang Huang; Xi Luo; Shuai Wu; Bin Jian
Journal:  Asian Pac J Cancer Prev       Date:  2015

Review 7.  Translational biology of osteosarcoma.

Authors:  Maya Kansara; Michele W Teng; Mark J Smyth; David M Thomas
Journal:  Nat Rev Cancer       Date:  2014-10-16       Impact factor: 60.716

8.  Pro-apoptotic and pro-autophagic effects of the Aurora kinase A inhibitor alisertib (MLN8237) on human osteosarcoma U-2 OS and MG-63 cells through the activation of mitochondria-mediated pathway and inhibition of p38 MAPK/PI3K/Akt/mTOR signaling pathway.

Authors:  Ning-Kui Niu; Zi-Li Wang; Shu-Ting Pan; Hui-Qiang Ding; Giang H T Au; Zhi-Xu He; Zhi-Wei Zhou; Guozhi Xiao; Yin-Xue Yang; Xueji Zhang; Tianxin Yang; Xiao-Wu Chen; Jia-Xuan Qiu; Shu-Feng Zhou
Journal:  Drug Des Devel Ther       Date:  2015-03-12       Impact factor: 4.162

9.  microRNA-99a is downregulated and promotes proliferation, migration and invasion in non-small cell lung cancer A549 and H1299 cells.

Authors:  Changjin Chen; Ziyi Zhao; Yu Liu; Dezhi Mu
Journal:  Oncol Lett       Date:  2015-01-14       Impact factor: 2.967

10.  MicroRNA-99a inhibits tumor aggressive phenotypes through regulating HOXA1 in breast cancer cells.

Authors:  Xiaolong Wang; Yaming Li; Wenwen Qi; Ning Zhang; Mingjuan Sun; Qiang Huo; Chang Cai; Shangge Lv; Qifeng Yang
Journal:  Oncotarget       Date:  2015-10-20
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  13 in total

Review 1.  miRNA signatures in childhood sarcomas and their clinical implications.

Authors:  G M Viera; K B Salomao; G R de Sousa; M Baroni; L E A Delsin; J A Pezuk; M S Brassesco
Journal:  Clin Transl Oncol       Date:  2019-04-04       Impact factor: 3.405

2.  LDHB may be a significant predictor of poor prognosis in osteosarcoma.

Authors:  Chao Li; Yu Chen; Pingping Bai; Jiaqiang Wang; Zhenhui Liu; Tao Wang; Qiqing Cai
Journal:  Am J Transl Res       Date:  2016-11-15       Impact factor: 4.060

Review 3.  Emerging Role of MicroRNAs in mTOR Signaling.

Authors:  Yanjie Zhang; Bo Huang; Hui-Yun Wang; Augustus Chang; X F Steven Zheng
Journal:  Cell Mol Life Sci       Date:  2017-02-25       Impact factor: 9.261

4.  The role of the PTEN/mTOR axis in clinical response of rectal cancer patients.

Authors:  Oya Orun; Sevgi Özden; Olca Kılınç; Pınar Mega Tiber; Pelin Yonar; Zerrin Özgen; Hazan Özyurt
Journal:  Mol Biol Rep       Date:  2022-06-21       Impact factor: 2.742

5.  Down-regulated expression of miR-99a is associated with lymph node metastasis and predicts poor outcome in stage IB cervical squamous cell carcinoma: a case-control study.

Authors:  Gongyi Zhang; Rong Zhang; Ping Bai; Shumin Li; Jing Zuo; Yuanyuan Zhang; Mei Liu; Lingying Wu
Journal:  Ann Transl Med       Date:  2022-06

6.  MicroRNA-505 is downregulated in human osteosarcoma and regulates cell proliferation, migration and invasion.

Authors:  Yu-Jiang Liu; Wei Li; Feng Chang; Jian-Na Liu; Jun-Xin Lin; De-Xi Chen
Journal:  Oncol Rep       Date:  2017-12-11       Impact factor: 3.906

Review 7.  Prognostic value of microRNAs in osteosarcoma: A meta-analysis.

Authors:  Yun Hak Kim; Tae Sik Goh; Chi-Seung Lee; Sae Ock Oh; Jeung Il Kim; Seung Hyeon Jeung; Kyoungjune Pak
Journal:  Oncotarget       Date:  2017-01-31

8.  Correlation between chemotherapy resistance in osteosarcoma patients and PAK5 and Ezrin gene expression.

Authors:  Qian Liu; Bo Xu; Wanshan Zhou
Journal:  Oncol Lett       Date:  2017-11-06       Impact factor: 2.967

9.  Upregulation of ALDH1B1 promotes tumor progression in osteosarcoma.

Authors:  Xin Wang; Yan Yu; Yuting He; Qiqing Cai; Songtao Gao; Weitao Yao; Zhiyong Liu; Zhichao Tian; Qicai Han; Weiwei Wang; Ranran Sun; Yonggang Luo; Chao Li
Journal:  Oncotarget       Date:  2017-12-20

10.  Regulation of NCAPG by miR-99a-3p (passenger strand) inhibits cancer cell aggressiveness and is involved in CRPC.

Authors:  Takayuki Arai; Atsushi Okato; Yasutaka Yamada; Sho Sugawara; Akira Kurozumi; Satoko Kojima; Kazuto Yamazaki; Yukio Naya; Tomohiko Ichikawa; Naohiko Seki
Journal:  Cancer Med       Date:  2018-04-02       Impact factor: 4.452

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