A comprehensive analysis for associations between multiple microRNAs and prognosis of osteosarcoma patients

Possible Role of IL-6R/STAT3/MiRNA-34a Feedback Loop in Osteosarcoma

OBJECTIVE

Osteosarcoma is considered the most common primary malignant tumor that develops from the primary osteoblasts. MiRNAs are small non-coding RNAs that play a key role in tumorigenesis. The aim of this study was to detect the possible relationship between expression levels of miRNA-34a and levels of Signal transducer and activator of transcription 3 (STAT3) and interleukin-6 receptor (IL-6R) in osteosarcoma and the possible role of this relationship in development of metastases in these patients.

METHODS

A total of thirty-six (36) bone samples were included in the study. They were divided into 3 groups: Group (I): Twelve normal bone samples as control group. Group (II): Twelve patients with non-metastatic osteosarcoma. Group (III): Twelve patients with metastatic osteosarcoma. MiRNA-34a expression levels were estimated using qRT-PCR. STAT3 and IL-6R levels were measured by ELISA.

RESULTS

Expression level of miRNA-34a was downregulated in osteosarcoma groups compared to control group. STAT3 and IL-6R levels were upregulated in osteosarcoma groups compared to control group. This difference in expression levels was found to be more significant in the metastatic group than the non-metastatic one (P<0.001 each). There was a significant positive correlation between STAT3 and IL-6R (r=0.868, P<0.001), and a significant inverse correlation between IL6 and miRNA-34a (r=-0.993, P<0.001).

CONCLUSION

miRNA-34a, STAT3 and IL-6R feedback loop could be a potential target for treatment of osteosarcoma and can be used as prognostic indicator for this disease.

MicroRNAs as prognostic biomarkers for survival outcome in osteosarcoma: A meta-analysis

BACKGROUND

Osteosarcoma was considered to be one of the most prevalent malignant bone tumors in adolescents.

AIM

To explore the prognostic significance of microRNA (miRNA) in osteosarcoma.

METHODS

The literature was selected by searching online in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Database until July 1, 2021. The pooled hazard ratio (HR) with corresponding 95% confidence interval (CI) for the outcomes of overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and recurrence-free survival were calculated. Subgroup analyses were carried out to identify potential sources of heterogeneity. Publication bias was assessed by Egger’s bias indicator test.

RESULTS

A total of 60 studies from 54 articles with 5824 osteosarcoma patients were included for this meta-analysis. The pooled HR for OS, DFS, PFS were 2.92 (95%CI: 2.43-3.41, P = 0.000), 3.70 (95%CI: 2.80-4.61, P = 0.000), and 3.57 (95%CI: 1.60-5.54, P = 0.000), respectively. The high miR-21 expression levels were related to poor OS in osteosarcoma (HR = 2.86, 95%CI: 1.20-4.53, P = 0.001). Subgroup analysis demonstrated that a high expression level of miRNA correlated with worse OS (HR: 3.56, 95%CI: 2.59-4.54, P = 0.000). In addition, miRNA from tissue (HR: 3.20, 95%CI: 2.16-4.23, P = 0.000) may be a stronger prognostic biomarker in comparison with that from serum and plasma.

CONCLUSION

miRNA (especially miR-21) could be served as a potential prognostic biomarker for osteosarcoma. A high expression level of miRNA in tumor tissue correlated with worse OS of osteosarcoma.

Focus on Hypoxia-Related Pathways in Pediatric Osteosarcomas and Their Druggability

Osteosarcoma is the most frequent primary bone tumor diagnosed during adolescence and young adulthood. It is associated with the worst outcomes in the case of poor response to chemotherapy and in metastatic disease. While no molecular biomarkers are clearly and currently associated with those worse situations, the study of pathways involved in the high level of tumor necrosis and in the immune/metabolic intra-tumor environment seems to be a way to understand these resistant and progressive osteosarcomas. In this review, we provide an updated overview of the role of hypoxia in osteosarcoma oncogenesis, progression and during treatment. We describe the role of normoxic/hypoxic environment in normal tissues, bones and osteosarcomas to understand their role and to estimate their druggability. We focus particularly on the role of intra-tumor hypoxia in osteosarcoma cell resistance to treatments and its impact in its endogenous immune component. Together, these previously published observations conduct us to present potential perspectives on the use of therapies targeting hypoxia pathways. These therapies could afford new treatment approaches in this bone cancer. Nevertheless, to study the osteosarcoma cell druggability, we now need specific in vitro models closely mimicking the tumor, its intra-tumor hypoxia and the immune microenvironment to more accurately predict treatment efficacy and be complementary to mouse models.