MicroRNA-195 as a prognostic factor for cancer survival outcome in China: a meta-analysis

Abstract

Purpose

MicroRNA-195 is dysregulated in different kinds of cancers and plays a pivotal role in tumorigenesis. It may function as a prognostic biomarker for cancers. However, the results from articles were not consistent. This study was designed to validate the prognostic value of microRNA-195 in human tumors.

Methods

We conducted a detailed search on PubMed until December 31, 2018. The quality of these publications was assessed on the basis of a list of key reviews presented by PRISMA statement. The pooled hazard ratios (HR) and pooled odds ratios (OR) of each 95% confidence interval (95% CI) were calculated to assess the effect.

Results

This meta-analysis included 12 studies involving 940 cancer patients to assess the prognostic value of miR-195 in different solid tumors. The results showed that patients with high expression of miR-195 had favorable tumor-node-metastasis (late vs early: pooled OR =0.16, 95% CI: 0.11–0.22, P<0.001), lymph node metastasis (pooled OR =0.25, 95% CI: 0.18–0.35, P<0.001) and distant metastasis (pooled OR =0.26, 95% CI: 0.13–0.52, P<0.001). At the same time, high levels of miR-195 expression were closely correlated with better overall survival (pooled HR =0.46, 95% CI: 0.36–0.58, P<0.001).

Conclusion

Elevated microRNA-195 may serve as a potential biomarker to predict a favorable prognosis for various cancer types in China.

Introduction

According to estimates by the International Agency for Research on Cancer (IARC), with the rapid growth and aging of the global population due to changes in fertility and life expectancy, by 2018, approximately 18.1 million new cancer cases occurred worldwide and 9.6 million patients die of cancer although cancer mortality has declined for several consecutive years.^1,2 If cancer could be diagnosed earlier and appropriate treatment for cancer can be given in time, the patients may have more opportunities for recovery. However, the diagnosis and treatment of cancer is limited. Thus, it is imperative to find a new biomarker to prognosis.

MicroRNA (miRNA), a small non-coding RNA molecule (usually 21–23 nucleotides in length), is an evolutionarily conserved non-coding RNA molecule that passes through the 3ʹ-untranslation (UTR) region of the target messenger RNA (mRNA).³ The complementary sequence of 3ʹ-UTR is involved in post-transcriptional gene regulation. Emerging studies suggest that miRNAs can regulate gene expression after transcription by degrading target mRNA or inhibiting protein translation. Through high-throughput profiling, miRNA dysregulation has been widely observed at different stages of cancer. Up-regulation of specific miRNA leads to inhibition of tumor suppressor gene expression. On the contrary, down-regulation of specific miRNA leads to increased oncogene expression. Both of these conditions have a malignant effect on cell proliferation, differentiation and apoptosis, and contribute to tumor growth and progression.⁴ Therefore, miRNAs are considered to be diagnostic, prognostic and therapeutic biomarkers for almost all cancers.⁵

MicroRNA-195 (miRNA-195 or miR-195, Gene ID: 406971) gene, originating in intron 7, is located on human chromosome 17p13.1, which is a highly conserved miRNA in a variety of diseases such as cancer, heart failure and schizophrenia.^6,7 We used miRBase (http://mirbase.org/) to predict miR-195 stem ring structure, which indicated that miR-195 hairpins produced “lead” miR-195-5p and sister “passenger” miR-195-3p. Interestingly, the predominantly expressed form in recent studies is miR-195-5p.⁸ MiR-195 has been reported to be involved in the progression of cancer by regulating key genes and signaling pathways, thus significantly affecting the carcinogenicity of various cancers,⁹ which includes non-small cell lung cancer,¹⁰ prostate cancer,¹¹ gastric cancer,¹² colorectal cancer,¹³ hepatocellular cancer,¹⁴ esophageal squamous cell carcinoma¹⁵ and cervical cancer.¹⁶ Meanwhile, CDK6, Bcl-2 and WEE1 are target genes of miR-195, which are involved in miR-195-mediated cell cycle and apoptosis effects.^17–19 So far, numerous studies have shown that the clinicopathological features and the overall survival of patients in various cancers are closely related to the dysregulation of miR-195. However, the results in several studies were inconsistent and conflicting. To more accurately assess the relationship between the expression level of miR-195 and the clinical prognosis of cancer patients, we conducted a meta-analysis of published studies.

Methods

Search strategy

Published studies were searched in PubMed, updated before December 31, 2018. We used the following keywords: “tumor” or “tumour” or “cancer” or “carcinoma” or “malignant tumor” or “neoplasm” and “miRNA-195” or “miR-195” or “microRNA-195”. Articles published in full-text in English were required.

Data extraction

In order to ensure the accuracy of data extraction, the two authors (CY and WN) extracted the valuable data that were screened out according to the inclusion criteria and exclusion criteria, respectively. The following information was collected and compiled from the inclusive studies: name of first author; year of publication; country; miR-195 detection method; follow-up time; cut-off value (method of distinguishing high and low expression groups); sample size (overall number of patients); quantity of lymph node metastasis (LNM) or distant metastasis (DM) patients; the total number of patients with different tumor node metastasis (TNM) stage in high and low miR-195 expression level groups. When the author provided univariate and multivariate analysis, we preferred the second method. Any controversial information was settled by discussion among the authors.

Quality assessment

The quality of the relevant studies was evaluated using the Newcastle-Ottawa Scale (NOS).²⁰ The NOS score ranges from 0 to 9. The score is greater than or equal to 6 for high quality.

Criteria of inclusion and exclusion

Criteria conforming to the inclusion are as follows: (1) analysis of the prognostic role of miR-195 in cancer patients; (2) grouping patients according to the high and low expression levels of miR-195; (3) studying the relationship between miR-195 expression and clinicopathological parameters; (4) providing HR for available data access to 95% CI.

Exclusion criteria: (1) reviews, case reports, letters, conference abstracts or studies on animal experiments; (2) data duplication or overlap studies; (3) sample size of study less than 30 items.

Statistical methods

Meta-analysis was carried out conforming to the PRISMA statement and used Stata (version 12.0, Stata Corp, College Station, USA) software.^21,22 The relationship between the expression level of miR-195 and clinical outcomes was assessed by odds ratio (OR), hazard ratio (HR) and each corresponding 95% CI. Cochran’s Q test and Higgins I-squared statistic method were exclusively used for assessing the heterogeneity of the included trials.²² If the Q test does not show significant heterogeneity in qualitative studies, we prefer to use a fixed effect model, ie, I²<50% or P_Q>0.05. However, when I²>50% or P_Q<0.05 is considered to be significant heterogeneity, a random effects model will be performed. Sensitivity analysis was applied to test the origin of heterogeneity and the stability of the results. If the HR with 95% CI of the OS was not directly written in the text, we obtained the HR and 95% CI from Kaplan-Meier curve of the OS by using the Engauge Digitizer 4.1 software and excel of Tierney et al.^23,24 Publication bias was evaluated through funnel plot by Egger’s and Begg’s test and P<0.05 means obvious statistically significance.²⁵

Results

Involved studies’ features

The article retrieval strategy was illustrated in Figure 1. A total of 271 articles were searched and the data were obtained from the PubMed database. Among them, because the data we need are incomplete, we excluded 250 publications. After we reviewed the title and abstract, we selected 21 publications for further full-text screening. From the left 14 publications, one was uncorrected proofed version and one was studied in Pakistan. For the representativeness of the population we included, 12 studies from China with total 940 patients were included to perform meta-analysis. All included literature described the relationship between miR-195 and tumor prognosis. Of them, Chen et al pointed out miR-195-5p was the target molecule while other 12 studies did not specifically analyze the effect of sister chain 5p or 3p on tumor prognosis. The cancer types included renal cell carcinoma,²⁶ esophageal squamous cell carcinoma,¹⁵ colorectal cancer,¹³ clear cell renal cell carcinoma,²⁷ laryngeal squamous cell carcinoma,²⁸ hepatocellular carcinoma,¹⁴ oral squamous cell carcinoma,²⁹ cervical cancer,¹⁶ prostate cancer,¹¹ osteosarcoma,³⁶ non-small cell lung cancer³⁷ and pancreatic cancer.³⁰ All included studies used qRT-PCR to detect the expression level of miR-195. There were two cut-off values to distinguish high and low expression groups (mean level and median value). All characteristics and differences of each study are reflected in Table 1.

Figure 1.

The flow chart of meta-analysis.

Table 1.

Main characteristics of the studies included in the meta-analysis

Study	Year	Country	Cancer type	MicroRNA-195 exprssion								Detection method	HR statistic	HR (95% CI) for OS high/low	Survival analysis	NOS	Cut-off value	Follow-up (months)	Sample size
				High				Low
Total	TNM for advaced stage	LNM	DM	Total	TNM for advaced stage	LNM	DM
Wang et al13	2012	China	CRC	24	3	4	－	61	33	34	－	qRT-PCR	Date in paper	0.41 (0.19–0.89)	Multivariate	8	Median value	60	85
Sun et al15	2014	China	ESCC	46	5	10	－	52	35	30	－	qRT-PCR	Date in paper	0.17 (0.08–0.79)	Multivariate	9	Median value	60	98
Han et al36	2015	China	OS	50	29	－	18	57	46	－	34	qRT-PCR	Survival curve	0.44 (0.24–0.83)	Univariate	9	Mean level	80	107
Su et al37	2016	China	NSCLC	50	10	24	－	50	33	39	－	qRT-PCR	Survival curve	0.51 (0.28–0.93)	Univariate	9	Median value	60	100
Sun et al27	2016	China	ccRCC	13	3	4	－	17	3	12	－	qRT-PCR	－	－	－	6	Mean level	－	30
Zhou et al16	2016	China	CC	25	－	10	－	25	－	19	－	qRT-PCR	－	－	－	6	Mean level	－	50
Chen et al26	2017	China	RCC	33	8	4	－	34	20	14	－	qRT-PCR	Survival curve	0.45 (0.14–1.45)	Univariate	8	Mean level	60	67
Shuang et al28	2017	China	LSCC	61	39	15	－	61	60	26	－	qRT-PCR	Date in paper	0.36 (0.13–0.96)	Multivariate	9	Mean level	120	122
Yu et al14	2017	China	HCC	42	6	－	－	88	45	－	－	qRT-PCR	Survival curve	0.51 (0.31–0.84)	Univariate	9	Mean level	60	130
Wang et al29	2017	China	OSCC	19	1	－	－	21	6	－	－	qRT-PCR	－	－	－	6	Mean level	－	40
Zhou et al30	2017	China	PC	20	5	4	－	22	14	12	－	qRT-PCR	Survival curve	0.56 (0.26–1.21)	Univariate	8	Median value	50	42
Cai et al11	2018	China	PCa	42	－	－	2	27	－	－	11	qRT-PCR	Date in paper	0.51 (0.27–0.95)	Multivariate	6	Mean level	200	69

Notes: The dashes represent no data; TNM for advanced stage: III+IV or III+IV or IIb+III+IV (PC, OS); DM: distant metastasis (OS, PCa).

Abbreviations: TNM, tumor node metastasis; DM, distant metastasis; LNM, lymph node metastasis; NOS, Newcastle-Ottawa Scale; CRC, colorectal cancer; ESCC, esophageal squamous cell carcinoma; OS, osteosarcoma; NSCLC, non-small cell lung cancer; ccRCC, clear cell renal cell carcinoma; CC, cervical cancer; RCC, renal cell cancer; LSCC, laryngeal squamous cell carcinoma; HCC, hepatocellular carcinoma; OSCC, oral squamous cell carcinoma; PC, pancreatic cancer; PCa, prostate cancer.

Study characteristics of association between miR-195 expression and TNM stage (advanced stage vs early stage: III/IV vs I/II or IIb/III/IV vs IIa/I/II)

Ten researches containing 770 patients were enrolled to assess the prognostic value of miR-195 expression in cancer patients (Figure 2A). Because no heterogeneity was found in 10 reports (I²=40.1%, P_Q =0.09), the pooled OR and its 95% CI were analyzed using a fixed effects model. We found that high expression level of miR-195 suggested a good phase of TNM (pooled OR =0.20, 95% CI: 0.11–0.36, P<0.001). Figure 2A shows the results we analyzed in the Stata software. We found that the increased miR-195 expression was related with earlier TNM stage in esophageal squamous cell carcinoma (OR =0.06, 95% CI: 0.02–0.180, P<0.001), non-small cell lung cancer (OR =0.129, 95% CI: 0.05–0.32, P<0.001), renal cell carcinoma (OR =0.22, 95% CI: 0.08–0.64, P<0.001), hepatocellular carcinoma (OR =0.16, 95% CI: 0.06–0.42, P<0.001), pancreatic cancer (OR =0.19, 95% CI: 0.05–0.72, P=0.015), laryngeal squamous cell carcinoma (OR =0.03, 95% CI: 0.004–0.23, P=0.001), colorectal cancer (OR =0.121, 95% CI: 0.03–0.45, P=0.002), osteosarcoma (OR =0.33, 95% CI: 0.0.14–0.75, P=0.012), but not related with clear cell renal cell carcinoma (OR =1.40, 95% CI: 0.23–8.42, P=0.71) and oral squamous cell carcinoma (OR =0.14, 95% CI: 0.02–1.29, P=0.082). In addition, we performed the subgroup analysis for sample size (Figure 2B). The sample size of the enrolled studies was from 30 to 130. The sample size of 100 was selected as the boundary. We found a significant association between the TNM stage and the miR-195 expression level in the subgroup of sample size ≥100 (pooled OR =0.15, 95% CI: 0.09–0.25, P<0.001), with no heterogeneity (I²=47.0%, P_Q=0.129). In the subgroup of sample size <100, the heterogeneity is not obvious (I²=47.0%, P_Q =0.093) and the result is also significant (pooled OR =0.16, 95% CI: 0.10–0.0.27, P<0.001). Therefore, the sample size does not affect the result.

Figure 2.

Forest plots of the subgroup analyses evaluating ORs of miR-195 for TNM by the factors of (A) cancer type; (B) sample size.

Abbreviation: OR, overall survival.

Association between miR-195 expression and lymph node metastasis (LNM)

A total of 594 patients with LNM were enrolled in 8 studies (Figure 3A). We compared the high and low expression of miR-195 by using a fixed effect model (I²=0.0%, P_Q =0.680). The combined result showed that patients with low expression of miR-195 had a tendency to metastasize to lymph nodes (pooled OR =0.25, 95% CI: 0.18–0.35, P<0.001).

Figure 3.

Forest plots evaluating ORs of miR-195 for (A) LNM and (B) DM.

Abbreviations: OR, overall survial; LNM, lymph node metastasis; DM, distant metastasis.

Association between miR-195 expression and distant metastasis (DM)

Two eligible studies with 176 patients were used to detect the relationship between miR-195 expression levels and DM (Figure 3B). The heterogeneity was found in the studies (I²=69.6%, P_Q=0.07), with the pooled OR =0.26 (95% CI: 0.13–0.52, P<0.001 in a random-effect model). Therefore, the results indicated that patients with high levels of miR-195 expression in the tumor have a lower risk of DM. However, more samples were needed to be included to further verify this result.

Association between miR-195 expression and overall survival (OS)

A total of 9 studies of 853 cancer patients were enrolled to detect the correlation between overall survival (OS) and miR-195 in cancers (Figure 4). Since the OS group did not detect heterogeneity (I²=0.0%, P_Q=0.868), this analysis used a fixed model. There is a strong correlation between high expression levels of miR-195 and better OS in cancer patients (pooled HR =0.46, 95% CI: 0.36–0.58, P<0.001) (Figure 4). However, the relationship is not significant in pancreatic cancer (HR =0.560, 95% CI: 0.26–1.21, P=0.139) and renal cell carcinoma (HR =0.450, 95% CI: 0.14–1.45, P=0.181).

Figure 4.

Forest plot of pooled HRs of elevated miR-195 expression for OS.

Abbreviations: HR, hazard ratio; OS, overall survival.

Sensitivity analysis

To assess the stability and reliability of this meta-analysis, we performed sensitivity analyses on the TNM, LNM and OS groups, respectively, and omit each study sequentially. In the TNM group, the results showed that there was no significant impact on individual research which affected the pooled OR (Figure 5A). In addition, sensitivity analysis in LNM (Figure 5B) or OS (Figure 5C) group suggested same results after we excluded each study sequentially.

Figure 5.

Sensitivity analysis. (A) TNM. (B) LNM. (C) OS.

Abbreviations: TNM, tumor-node-metastasis; LNM, lymph node metastasis; OS, overall survival.

Publication bias

Figure 6 shows the funnel plot of the article reported in the current meta-analysis. All studies enrolled in the TNM (Figure 6A), LNM (Figure 6B) and OS (Figure 6C) group with an even distribution around the horizon line showed no obvious publication bias. Egger’s test and Begg’s test were carried out on the publication bias to test the symmetry of the funnel plot. Finally, significance of publication bias in LNM (P=0.008 for Egger’s test, P=0.049 for Begg’s test) and marginal significance of publication bias in OS (P=0.051 for Egger’s test, P=0.076 for Begg’s test) was obtained. There was no significant publication bias in TNM (P=0.451 for Egger’s test, P=0.929 for Begg’s test).

Figure 6.

Funnel plot analysis of potential publication bias (Begg’s test). (A) TNM. (B) LNM. (C) OS.

Abbreviations: TNM, tumor-node-metastasis; LNM, lymph node metastasis; OS, overall survival.

Discussion

Cancer-associated miRNAs act by binding to the 3ʹ-untranslation region (UTR) of specific mRNAs and play a significant and multifaceted role in the development and progression of tumors.³¹ A large number of miRNAs have been found to be associated with clinical features of a variety of cancers. For example, high expression of miR-21 has been confirmed to correlate with worse overall survival significantly in carcinomas of the digestive system.³² Increased expression of miR-31 is reported to be associated with poor overall survival and cancer-specific survival in patients with general cancers, which suggests that miR-31 may be a useful clinical prognostic biomarker.³³ Therefore, it is of great significance to study the expression levels of miRNAs in cancers.

It is reported that miR-195 in the microenvironment plays a significant and versatile role in the occurrence and development of malignant tumors by affecting the survival and proliferation of tumor cells, promoting the spread of tumors and reducing the response to anticancer drugs.⁷ A certain amount of studies have investigated the prognostic value of miR-195 expression level in various cancer types but shows inconsistent results. For instance, Yang et al found that up-regulation of miR-195 can promote hepatoma cell apoptosis and decrease CDK2 expression by upregulating the expression of large tumor suppressor kinase 2 (LATS2) and p53.³⁴ Whereas, Wang et al reported that miR-195 contributes to the promotion of HCC lung metastasis through negative regulation of FGF2 and VEGFA.³⁵ Besides, we validate with data available on the miR-195 expression level and cancer data sets from The Cancer Genome Atlas (TCGA) database by boxplots. Osteosarcoma, cervical cancer, laryngeal squamous cell carcinoma and oral squamous cell carcinoma could not be acquired in the database. We found the expression of miR-195 in cancer tissues was lower than that in adjacent tissues in most of the tumors we included except for colorectal cancer and clear cell renal cell carcinoma. We picked the most representative types of esophageal squamous cell carcinoma and hepatocellular carcinoma in Figure 7A and B and other included tumors were shown in the supplementary materials (Figure S1A–F). The exact mechanism between miR-195 and different kinds of cancer patients remains unclear. Therefore, we conducted the meta-analysis from published studies to obtain a more accurate estimate of the prognostic value of miR-195 in cancer patients.

Figure 7.

Validation with data available on the expression level of miR-195 and cancer data sets from TCGA database. (A) Esophageal squamous cell carcinoma. (B) Hepatocellular carcinoma. **P<0.01; ***P<0.001.

Abbreviation: TCGA, The Cancer Genome Atlas.

In this study, we analyzed the relationship between a specific microRNA and cancer patient based on the results of 940 cancer patients in 12 independent studies. For all we know, this is the first study to perform a comprehensive meta-analysis to detect the effects of the dysregulation of miR-195 and prognosis associated with cancer patients, which indicates that elevated miR-195 significantly predicted longer overall survival time of cancer patients. Detailed analysis found that the higher the expression level of miR-195, the lower the risk of LNM and DM in tumor patients, and the more favorable the TNM stage in cancer patients. Although included studies applied different cut-off values to distinguish the high and low expression of miR-195, it does not affect the consistency of our final results. As for publication bias in OS and LNM group, we considered that the population in our enrolled studies were all Chinese, which may result in marginal significance of publication bias in HR for OS and significance of publication bias in OR for LNM. Besides, the reasons for potential publication bias may be ascribed to publications that tended to show positive results as well as relatively strict inclusion criteria that we made. But these interference factors did not affect the overall conclusion of the study.

Nevertheless, few limits shall be claimed in this analysis. Firstly, our analysis only absorbed 12 studies with a total of 940 patients and the included studies were mainly based on Chinese patients so that we ignored the subgroup analysis according to age, sex, depth of tumor invasion and tumor size, which are factors that cancer progression is associated with. Secondly, the HRs of 4 studies were extracted from survival curves, which were less accurate. Thirdly, the definition of each cut-off value is inconsistent. Therefore, it is imperative to establish a standard, uniform cut-off value. In addition, in order to achieve more meaningful results, a survey involving uniform disconnection is required. Fourthly, since only research of Chen et al²⁶ in the included articles specifically described miR-195-5p while other 11 articles did not specify which sister chain make sense, we can only discuss the overall effect of miR-195. Finally, we only enrolled literature published in English, which limited the population and ethnicity involved.

Conclusion

To conclude, the results indicated that elevated miR-195 may be a good prognostic biomarker for the clinical outcome of human cancer in Chinese. However, the exact functional role of miR-195 remains to be further studied through larger sample studies, which may validate and enhance the prognostic value of miR-195 in future and global cancer patients.

Supplementary material

Figure S1

Validation with data available on the expression level of miR-195 and cancer data sets from TCGA database. (A) Non-small cell lung cancer. (B) Renal cell cancer. (C) Pancreatic cancer. (D) Prostate cancer. (E) Colorectal cancer. (F) Clear cell renal cell carcinoma.

Abbreviation: TCGA, The Cancer Genome Atlas.

Disclosure

The authors reported no conflicts of interest in this work.