Dear editor
Emerging evidence has shown that aberrant microRNA expression has the potential to be used for predicting survival and treatment response of carcinomas.Citation1–Citation3 Recently, the role of miR-150 was investigated in various types of cancers, but the results were inconsistent and inconclusive.Citation4–Citation7 Therefore, we read with great interest the enlightening work of Wang et alCitation8 published in OncoTargets and Therapy. This study conducted a meta-analysis to evaluate the prognostic significance of miR-150 in various carcinomas by calculating the pooled hazard ratio (HR) of both overall survival (OS) and progression-free survival (PFS) in patients with various types of cancer. The authors concluded that miR-150 expression was not significantly associated with multiple cancers in terms of OS, whereas the high expression of miR-150 was significantly associated with worse progression. It is a very interesting and valuable study. Before accepting their conclusions, we would like to express some concerns in relation to their meta-analysis.
To begin with, only two electronic databases (PubMed and EMBASE databases) were systematically searched by the investigators. The small number of acquired papers would be a significant limitation of the meta-analysis. We recommend more electronic databases, such as OVID, ISI Web of Science database, Cochrane Library, Chinese Wanfang database and China National Knowledge Infrastructure (CNKI). Meanwhile, publication language was limited to English in the meta-analysis. Thus, there might exist a potential language bias in their meta-analysis, and we suggest no language restriction for the included studies to reduce the bias.
Furthermore, some important keywords, including mir-150 and malignancy, were also omitted. We suggest the investigators supplement those words in the search strategy in order to enlarge the coverage of relevant publications. In addition, there was no qualitative assessment with respect to this meta-analysis. To avoid the potential bias in the meta-analysis, the methodological quality of the studies incorporated in this meta-analysis should be investigated using the Newcastle–Ottawa scale as described in a previous meta-analysis.Citation9
In addition, nine studies including 1,999 participants were considered eligible for this meta-analysis. Also, some other important clinical features were omitted. For us to regard this meta-analysis well, we suggest that the investigators should supplement relevant characteristics, such as gender, tumor stage, metastasis and regulation tendency of related microRNAs. Meanwhile, the nomenclature of microRNAs has changed according to the latest guidance from miRBase (Release 21); therefore, the updated, official names including the 3p and 5p nomenclature need to be used throughout the paper.
Eventually, in the meta-analysis of the correlation between OS and miR-150 expression, there was obvious between-study heterogeneity among those nine enrolled studies (I2=80%). The investigators should conduct sensitivity analyses to figure out the reason for the obvious heterogeneity.Citation9,Citation10 Additionally, the investigators concluded that the high expression of miR-150 was significantly associated with worse progression, but they focused only on the effect of miR-150 expression on the OS and PFS. To make this paper better, the effect of miR-150 expression on clinical stage, local relapse and distant metastasis should be supplemented in the results section (Table 2).
In conclusion, we wish to thank the authors for bringing this meta-analysis with respect to miR-150 expression in various types of carcinomas to our attention. Clearly, more well-designed studies with large sample size are needed to further clarify the prognostic role of miR-150 in monitoring the prognosis and progression of various cancers, thus providing a more comprehensive evaluation of relevant biomarkers for future clinical studies.
Disclosure
The authors report no conflicts of interest in this communication.
References
- AcunzoMRomanoGWernickeDMicroRNA and cancer-a brief overviewAdv Biol Regul2015571925294678
- WongNKhwajaSSBakerCMPrognostic microRNA signatures derived from the cancer genome Atlas for head and neck squamous cell carcinomasCancer Med2016571619162827109697
- LuoZFengCHuPSerum microRNA-199a/b-3p as a predictive biomarker for treatment response in patients with hepatocellular carcinoma undergoing trans-arterial chemoembolizationOnco Targets Ther201692667267427226729
- SarlinovaMHalasaMMistunaDmiR-21, miR-221 and miR-150 are deregulated in peripheral blood of patients with colorectal cancerAnticancer Res201636105449545427798914
- SakrMTakinoTSabitHmiR-150-5p and miR-133a suppress glioma cell proliferation and migration through targeting membrane-type-1 matrix metalloproteinaseGene201658715516227154818
- HuangSChenYWuWmiR-150 promotes human breast cancer growth and malignant behavior by targeting the pro-apoptotic purinergic P2×7 receptorPLoS One20138e8070724312495
- WangSYinJLiTUpregulated circulating miR-150 is associated with the risk of intrahepatic cholangiocarcinomaOncol Rep201533281982525482320
- WangWWangXZhangYPrognostic role of microRNA-150 in various carcinomas: a meta-analysisOnco Targets Ther201691371137927042106
- DongYFuCGuanHZhangZZhouTLiBPrognostic significance of miR-126 in various cancers: a meta-analysisOnco Targets Ther201692547255527217773
- DingYMaQLiuFZhaoLWeiWThe potential use of salivary miR-NAs as promising biomarkers for detection of cancer: a meta-analysisPLoS One20161111e016630327832115