Clinicopathological significance and potential drug target of RUNX3 in non-small cell lung cancer: a meta-analysis

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Drug Design, Development and Therapy

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Clinicopathological significance and potential drug

target of rUnX3 in non-small cell lung cancer:

a meta-analysis

lijun Xu1

hongwen lan1

Yushu su1

Jun li1

Jingwen Wan2

1_{Department of cardiothoracic}

surgery, Tongji hospital, Tongji Medical college, huazhong University of science and Technology, Wuhan,

2_{Department of surgery (Operation}

room), Tongji hospital, Tongji Medical college, huazhong University of science and Technology, hubei, People’s republic of china

Background: Emerging evidence indicates that RUNX3 is a candidate tumor suppressor in several types of human tumors, including non-small cell lung cancer (NSCLC). However, the correlation between RUNX3 hypermethylation and clinicopathological characteristics of NSCLC remains unclear. Here, we conducted a systematic review and meta-analysis to quan-titatively evaluate the effects of RUNX3 hypermethylation on the incidence of NSCLC and clinicopathological characteristics.

Methods: A detailed literature search was made using Medline, Embase and Web of Science for related research publications written in English. The methodological quality of the studies was evaluated. The data were extracted and assessed independently by two reviewers. Analysis of pooled data was performed. The odds ratio (OR) and hazard ratio were calculated and summarized.

Results: Final analysis of 911 NSCLC patients from 13 eligible studies was performed. We observed that RUNX3 hypermethylation was significantly higher in NSCLC than in normal lung tissue; the pooled OR from seven studies including 361 NSCLC and 345 normal lung tissue (OR 7.08, confidence interval 4.12–12.17, P,0.00001). RUNX3 hypermethylation may also be associated with pathological types. The pooled OR was obtained from eleven studies including 271 squamous cell carcinoma and 389 adenocarcinoma (OR 0.41, confidence interval 0.19–0.89,

P=0.02), which indicated that RUNX3 hypermethylation is significantly higher in adenocar-cinoma that in squamous cell caradenocar-cinoma. We did not find that RUNX3 hypermethylation was correlated with clinical stage or differentiated status. However, NSCLC patients with RUNX3 hypermethylation had a lower survival rate than those without RUNX3 hypermethylation.

Conclusion: The results of this meta-analysis suggest that RUNX3 hypermethylation is associ-ated with an increased risk and worse survival in NSCLC. RUNX3 hypermethylation, which induces inactivation of the RUNX3 gene, plays an important role in lung carcinogenesis and clinical outcome.

Keywords: RUNX3, methylation, lung cancer, tumor suppressor gene, meta-analysis, odds ratio, hazard ratio

Introduction

Non-small cell lung cancer (NSCLC) includes several histological types, including adenocarcinoma, squamous cell carcinoma, large cell carcinoma, and mixed histologies, and accounts for approximately 85% of all lung cancers, making NSCLC the leading

cause of cancer-related deaths worldwide.1,2_{Despite advances in early detection, radical}

curative surgery, and multimodal therapeutic modalities, about 80% of NSCLC cases are in an advanced stage at diagnosis; systemic chemotherapy remains the standard

care but provides marginal improvement in survival.3_{Therefore, further investigation}

on the mechanism of initiation, progression, and identification of prognostic markers

correspondence: Jingwen Wan Department of surgery (Operation room), Tongji hospital, Tongji Medical college, huazhong University of science and Technology, 1095 Jiefang avenue, hubei 430030, People’s republic of china Tel +86 138 8617 1930

Fax +86 8366 5400 email jingwenwan@yeah.net

Journal name: Drug Design, Development and Therapy Article Designation: Original Research

Year: 2015 Volume: 9

Running head verso: Xu et al

Running head recto: Potential drug target of RUNX3 in NSCLC DOI: http://dx.doi.org/10.2147/DDDT.S76358

Drug Design, Development and Therapy downloaded from https://www.dovepress.com/ by 118.70.13.36 on 22-Aug-2020

For personal use only.

This article was published in the following Dove Press journal: Drug Design, Development and Therapy

3 June 2015

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Xu et al

is still needed and will help to select patients with a higher risk of disease recurrence and provide a better prognosis and individualized treatment.

The runt-domain-related (RUNX) family genes, which comprise RUNX1, RUNX2, and RUNX3, have come to promi-nence recently because of their roles as essential regulators of cell fate in development and their paradoxical effects in cancer, as well as in the regulation of p53-dependent DNA

damage response and/or tumorigenesis.4–6_{The RUNX3 gene is}

one of the most important members of the runt-domain family, and plays a critical role in regulation of cell proliferation and cell death by apoptosis, and in angiogenesis, cell adhesion, and

invasion.7,8_{The RUNX3 gene, localized on chromosome 1p36,}

a region that exhibits frequent loss of heterozygosity events in breast, colon, gastric, and ovarian cancers, is considered to be a tumor suppressor gene involved in the transforming

growth factor-beta signaling pathway.9_{RUNX3 and the}

ubiquitous p53 protein are both principal responders of the p14(ARF)-MDM2 cell surveillance pathway that prevents

pathologic consequences of abnormal oncogene activation.10

Its precise function has been intensively studied in several tumors, and it is associated with upregulation of inducing cell cycle arrest, apoptosis, and downregulation of cyclin

D1 expression.11–15_{Lack of protein expression of RUNX3 by}

promoter methylation (hypermethylation) has been found to play an important role in regulation of lung alveolar dif-ferentiation and epithelial tumorigenesis.16–20_{However, its}

role in NSCLC and its clinical significance have not been thoroughly investigated. In this study, we review and update the published clinical investigations regarding the effect of RUNX3 in patients with NSCLC.

Materials and methods

search strategy and selection criteria

We searched PubMed, Embase, and ISI Web of Knowledge to identify studies from January 1, 2000 to October, 2014 using the following MeSH terms and keywords: “lung” and “cancer or tumor or neoplasm or carcinoma”, “methylation”, and “RUNX3”. We also manually searched the reference lists of the retrieved articles and reviews for additional articles. Although our search did not have language limits initially, we only included studies published in the English language for full-text reading and final evaluation. Conference abstracts were not selected because of insufficient data reported. After exclusion of non-relevant and/or redundant publications from the databases, the remaining papers were evaluated in the full-text version for inclusion and exclusion and for relevant articles in the reference lists. All searched data were retrieved.

Authors’ bibliographies and references of selected studies were also searched for additional relevant studies. The most complete study was chosen to avoid duplication if the same patient population was reported in several publications.

Criteria that an eligible study has to meet were as follows: RUNX3 methylation evaluated in the primary NSCLC tis-sues; researchers revealed the relationship between RUNX3 methylation, NSCLC clinicopathological parameters, and prognosis; RUNX3 methylation examined by polymerase chain reaction; studies that provide a hazard ratio (HR) and 95% confidence interval (CI); and studies that provided suf-ficient information to estimate HR for overall survival and 95% CI. Letters, reviews, case reports, conference abstracts, editorials, expert opinion, and all publications regarding in vitro/ex vivo studies, cell lines, and human xenografts were excluded.

Data extraction and methodological

assessment

Two authors (LX, HL) independently reviewed and extracted the data from eligible studies. Disagreements were resolved by discussion and consensus. Two authors (YS, JL) reviewed all articles that fitted the inclusion and exclusion criteria. The following information was recorded for each study: the first author’s name, year of publication, sample source, number of cases, clinicopathological parameters, cancer TNM (tumor node metastasis) stage, methylation detection method, methylation rate and/or expression, and follow-up. Data for study characteristics and clinical responses were summarized and the data were converted into table format. Heterogeneity of investigation was evaluated to determine whether the data from the various studies could be subjected to meta-analysis.

For the methodological evaluation of the studies, three investigators (LX, HL, XZ) read through each publication independently, and assessed and scored them according to the REMARK (REporting recommendations for tumor MARKer prognostic studies) guidelines and European Lung

Cancer Working Party quality scale.21,22_{The three readers}

provided quality scores and compared them, and then reach a consensus value for each item.

statistical analysis

The statistical analysis was conducted using Stata version 12.0 (Stata Corporation, College Station, TX, USA) and Review Manager 5.2 (Cochrane Collaboration, Oxford, UK). The pooled frequency of RUNX3 hypermethylation and 95% CI were estimated. The frequency of RUNX3 hypermethylation

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was compared against different tumor characteristics. Heterogeneity among the studies was evaluated using the Cochran’s Q test 23_{and the I}2_statistic.24,25_{When heterogeneity}

was not an issue (I2_values_,_{50%), a fixed-effect model was}

used to calculate parameters. If there was substantial

hetero-geneity (I2_values_$_{50%), a random-effects model was used}

to pool data and an attempt was made to identify potential sources of heterogeneity based on subgroup analyses. The pooled odds ratio (OR) was estimated for the association between RUNX3 hypermethylation and clinicopathological features. P-values tailed less than 0.05 were considered to be statistically significant.

Publication bias was assessed using a method reported by Egger et al.26_{We also explored reasons for statistical}

heterogeneity using meta-regression, subgroup analysis, and sensitivity analysis. The analysis of meta-regression and publication bias was performed using Stata version 10.0.

Results

Identification of relevant studies

Forty-seven publications were identified by the search method described above. Thirty-four papers were excluded

for being laboratory studies, non-original articles (reviews), or studies irrelevant to the current analysis. Eventually, 13 studies were included in the final meta-analysis,27–39_{as shown}

in Figure 1. Of the 13 studies, eleven scored eight points, five scored seven points, and one scored six points. Hence, the studies were of relatively high quality (Table 1).

study characteristics

Thirteen studies published from 2003 to 2012 were eligible for meta-analysis. A total of 911 NSCLC patients from the People’s Republic of China, Japan, Singapore, South Korea, Spain, and the USA were enrolled. Their basic characteristics are summarized in Table 2.

correlation of rUnX3 hypermethylation

with clinicopathological features

inactivation of RUNX3 through hypermethylation in nsclc

The loss of RUNX3 mRNA and/or protein expression is strongly correlated with promoter hypermethylation in

several types of cancer, including NSCLC.28,34,40–45_RUNX3

hypermethylation is significantly higher in NSCLC than

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Xu et al

Table 1 Quality assessment of the included studies according to the newcastle–Ottawa scale

Study Selection Comparability Exposure Total score

Yu et al27 ₃ ₂ ₂ ₇

Omar et al28 ₃ ₂ ₃ ₈

Tang et al29 ₃ ₂ ₂ ₇

Yanagawa et al30 ₃ ₂ ₃ ₈

castro et al31 ₂ ₂ ₃ ₇

Yoshino et al32 ₃ ₂ ₃ ₈

sato et al34 ₃ ₂ ₂ ₇

suzuki et al35 ₃ ₂ ₃ ₈

li et al36 ₃ ₂ ₂ ₇

hawes et al38 ₃ ₂ ₃ ₈

Feng et al39 ₃ ₁ ₂ ₆

Table 2 Basic characteristics of the included studies

Study Country Patients

(n)

Methods Primary aim Methylation

site

RUNX3 expression

Yu et al27 _People’s

republic of china

58 MsP Determine methylation status of the RUNX3 gene and correlate results with clinicopathological characteristics

Promoter, cpg

islands

-Omar et al28 _singapore ₉ _MsP _{Determine frequency of}_RUNX3_promoter

hypermethylation

Promoter, cpg islands

+

Tang et al29 _People’s

republic of china

80 MsP Determine methylation status of the RUNX3 gene and correlate results with clinicopathological characteristics

-Yanagawa et al30 _Japan ₆₂ _MsP _{Determine methylation status of ten tumor}

suppressors in nsclc

Promoter, cpg

islands

-castro et al31 _spain ₅₄ _Ms-MlPa _{Determine clinical significance of several tumor}

Promoter, cpg

islands

-Yoshino et al32 _Japan ₄₄ _MsP _{Determine methylation status of 14 tumor}

Promoter, cpg

islands

-Yanagawa et al33 _Japan ₁₀₁ _MsP _{Determine whether methylation status of several}

genes is correlated with clinicopathological features

Promoter, cpg

islands

-sato et al34 _Japan ₁₂₀ _{MsP, rT-Pcr} _{Determine role of}_RUNX3_{in pathogenesis of}

nsclc

+

suzuki et al35 _Japan ₁₁₇ _MsP _{Determine role of TgF-}_β_{-related genes in many}

human malignancies

-li et al36 _{south Korea} ₂₅ _{MsP, rT-Pcr} _{Determine role of}_RUNX3_{in pathogenesis of}

nsclc

Promoter, cpg

islands +

Yanagawa et al37 _Japan ₇₅ _MsP _{Analysis of clinicopathological significance of gene}

promoter methylation in nsclc

Promoter, cpg

islands

-hawes et al38 _Usa ₁₁₇ _Methylight _{Detection of methylation profiles for 27 genes in}

nsclc

Promoter, cpg

islands

-Feng et al39 _Usa ₄₉ _Methylight _{analyze Dna methylation}

status of several genes in nsclc patients

Promoter, cpg

islands

-Abbreviations: NSCLC, non-small cell lung cancer; MS-MLPA, methylation-specific multiplex ligation-dependent probe amplification; MSP, methylation-specific polymerase chain reaction; TgF-β, transforming growth factor-beta; rT-Pcr, reverse transcription polymerase chain reaction; +, positive; -, negative.

in normal lung tissue. The pooled OR from seven studies including 361 NSCLC and 345 normal lung tissue is shown

in Figure 2 (OR 6.17, CI 3.66–10.41, P,0.00001), indicating

that RUNX3 inactivation through hypermethylation plays an important role in the pathogenesis of NSCLC.

relationship between frequency of RUNX3

hypermethylation and smoking status

Sato et al reported that the RUNX3 hypermethylation rate in NSCLC patients without a smoking history was significantly

higher than that in patients with a smoking history.34_The

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pooled OR from eight studies including 455 and 202 NSCLC with or without a smoking history is shown in Figure 3A (OR

0.51, CI 0.24–1.08, P=0.08), which indicates that RUNX3

hypermethylation is not strongly associated with smoking status in NSCLC patients.

relationship between frequency of RUNX3

hypermethylation and pathological types

Previously, Omar et al reported that there was an obvious dif-ference between the activity of RUNX3 in adenocarcinoma and squamous cell carcinoma, indicating that the absence of active RUNX3 in adenocarcinoma and the aberrant downregulation of RUNX3 through hypermethylation may

be associated with the development of these tumors.28_The

pooled OR from eleven studies including 271 squamous cell carcinomas and 389 adenocarcinomas is shown in Figure 3B

(OR 0.41, CI 0.19–0.89, P=0.02), indicating that RUNX3

hypermethylation plays a more important role in the patho-genesis of adenocarcinoma.

role of RUNX3 hypermethylation in progression of nsclc

We analyzed 634 NSCLC patients pooled from eight studies to assess whether or not the aberrant RUNX3 hypermethyla-tion in NSCLC was associated with more advanced stage. As shown in Figure 4A, aberrant RUNX3 hypermethylation is not significantly higher in advanced NSCLC (III and IV) than in

early stage NSCLC (I and II; OR 1.21, CI 0.61–2.42, P=0.59).

In addition, as shown in Figure 4B, aberrant RUNX3 hyperm-ethylation is not significantly higher in poorly differentiated

NSCLC than in moderately and highly differentiated NSCLC

(OR 0.65, CI 0.14–2.99, P=0.58). These results suggest that

epigenetic silencing of RUNX3 gene expression by promoter hypermethylation may not play an important role in the progression and development of NSCLC.

RUNX3 hypermethylation as a prognostic factor

for nsclc

Only three studies evaluated the relationship between RUNX3 hypermethylation and overall survival in NSCLC. The pooled HR for overall survival showed that RUNX3 hypermethylation was associated with worse survival in NSCLC patients, as shown in Figure 4C (HR 3.12, 95% CI

1.47–6.62, P=0.003).

subgroup analysis and meta-regression

For the group in which heterogeneity is strong, we per-formed subgroup analysis and meta-regression to analyze the sources of the heterogeneity. In the case of the frequency of RUNX3 hypermethylation and smoking status, the pooled OR for two studies from the People’s Republic of China for patients with or without a smoking history is shown in Figure 5A (I2=_{47%, OR 0.68, CI 0.30–1.50, P}=_{0.33), indicating}

that heterogeneity was not strong, suggesting that RUNX3 hypermethylation is not strongly associated with smoking status in NSCLC patients. The pooled OR for six studies from Japan for patients with or without smoking history is shown in Figure 5B (I2=_{76%, OR 0.46, CI 0.17–1.22,}

P=0.12), indicating that the heterogeneity is still strong, and that RUNX3 hypermethylation was not significantly

NSCLC Normal lung tissue

Study or subgroup

Events Total Events Total

Feng et al39 ₈ ₄₉ ₀ ₄₉

Li et al36 ₆ ₂₅ ₀ ₂₅

Omar et al28 ₃ ₉ ₃ ₅

Yanagawa et al37 ₂₀ ₇₅ ₃ ₇₅

Yanagawa et al33 ₂₅ ₁₀₁ ₃ ₁₀₁

Yoshino et al32 ₉ ₄₄ ₁ ₃₂

Yu et al27 ₂₆ ₅₈ ₁₀ ₅₈

Total (95% Cl) 361 345

Total events 97 20

Heterogeneity: χ2_{=9.73, df=6 (P}_{=0.14); l}2_=38%

Test for overall effect: Z=6.82 (P<0.00001)

Odds ratio

M–H, fixed, 95% Cl Odds ratioM–H, fixed, 95% Cl

20.28 (1.14, 361.89) 17.00 (0.90, 320.37) 0.33 (0.03, 3.20) 8.73 (2.47, 30.87) 10.75 (3.13, 36.93) 7.97 (0.96, 66.53) 3.90 (1.66, 9.18)

6.17 (3.66, 10.41) Weight

2.9% 2.6% 18.0% 15.4% 15.8% 6.5% 38.7%

100%

0.01

Favors

(experimental) (control)Favors

0.1 1 10 100

Figure 2 Pooled Or from seven studies including 361 nsclc and 345 normal lung tissue (Or 6.17, ci 3.66–10.41, P,0.00001). Abbreviations: CI, confidence interval; OR, odds ratio; M–H, Mantel–Haenszel; NSCLC, non-small cell lung cancer.

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Smoker Never

Study or

subgroup Events Total Events Total

Tang et al29 ₁₅ ₅₈ ₅ ₂₂

Total (95% Cl) 455 202

Total events

116 80

Heterogeneity: τ2_=0.82;_χ2_=23.48,_df_{=7 (}_P_=0.001);_l2_=70%

Test for overall effect: Z=1.76 (P=0.08)

Odds ratio

M–H, random, 95% Cl

1.19 (0.37, 3.77)

0.51 (0.24, 1.08) Weight

Sato et al34 ₁₂ ₇₁ ₁₆ ₄₃ _14.6% _{0.34 (0.14, 0.82)}

Suzuki et al35 ₂₀ ₉₇ ₅ ₂₆ _13.2% _{1.09 (0.37, 3.25)}

12.8%

Yanagawa et al37 ₁₀ ₅₅ ₅ ₂₀ _12.3% _{0.67 (0.20, 2.26)}

Yanagawa et al33 ₂₅ ₇₃ ₂₅ ₂₈ _11.9% _{0.06 (0.02, 0.23)}

Yanagawa et al30 ₁₆ ₃₆ ₇ ₂₆ _13.2% _{2.17 (0.73, 6.44)}

Yoshino et al32 ₂ ₂₃ ₇ ₂₁ _9.4% _{0.19 (0.03, 1.05)}

Yu et al27 ₁₆ ₄₂ ₁₀ ₁₆ _12.6% _{0.37 (0.11, 1.21)}

100%

0.01

Favors

0.1 1 10 100

Squamous cell

carcinoma Adenocarcinoma

Study or subgroup

Events Total Events Total

Total events 52 134

52 134

Test for overall effect: Z=2.27 (P=0.02) Test for subgroup differences: not applicable

Test for overall effect: Z=2.27 (P=0.02)

Odds ratio

M–H, random, 95% Cl Weight

Castro et al31 ₁₃ ₂₁ ₁₀ ₃₂ _11.6% _{3.58 (1.13, 11.35)}

Hawes et al38 ₁ ₃₉ ₁₆ ₅₁ _7.4% _{0.06 (0.01, 0.46)}

Li et al36 ₂ ₁₁ ₃ ₁₁ _7.5% _{0.59 (0.08, 4.50)}

Omar et al28 ₀ ₅ ₃ ₄ _3.8% _{0.04 (0.00, 1.25)}

Sato et al34 ₀ ₃ ₆ ₁₆ _4.4% _{0.23 (0.01, 5.23)}

Suzuki et al35 ₈ ₅₁ ₁₃ ₆₀ _12.6% _{0.67 (0.25, 1.78)}

Tang et al29 ₄ ₃₆ ₁₆ ₄₄ _11.4% _{0.22 (0.07, 0.73)}

Yanagawa et al37 ₂ ₂₉ ₁₂ ₄₇ _9.5% _{0.22 (0.04, 1.05)}

Yanagawa et al33 ₈ ₃₉ ₃₅ ₆₂ _12.8% _{0.20 (0.08, 0.50)}

Yoshino et al32 ₁ ₁₁ ₇ ₃₀ _6.8% _{0.33 (0.04, 3.03)}

Yu et al27 ₁₃ ₂₆ ₁₃ ₃₂ _12.2% _{1.46 (0.51, 4.15)}

Subtotal (95% Cl) 271 389 100% 0.41 (0.19, 0.89)

Total (95% Cl) 271 389 100% 0.41 (0.19, 0.89)

0.01

Favors

0.1 1 10 100

A

B

Odds ratio

RUNX3 with pathological type

Figure 3 relationship between the frequency of rUnX3 hypermethylation and pathological types.

Notes: (A) nsclc patients (n=657) with smoking status pooled from eight studies. aberrant RUNX3 hypermethylation was not strongly associated with smoking status in nsclc patients (Or 0.51, ci 0.24–1.08, P=0.08). (B) The pooled Or from eleven studies including 271 squamous cell carcinoma and 389 adenocarcinoma (Or 0.41, ci 0.19–0.89, P=0.02), indicating that RUNX3 hypermethylation plays a more important role in the pathogenesis of adenocarcinoma.

Abbreviations: CI, confidence interval; OR, odds ratio; M–H, Mantel–Haenszel; NSCLC, non-small cell lung cancer.

associated with smoking status in NSCLC patients. How-ever, the pooled OR for four studies from Japan for patients with or without a smoking history is shown in Figure 5C

(I2=_{50%, OR 0.93, CI 0.52–1.67, P}=_{0.82), indicating that}

the heterogeneity was not strong, and that RUNX3 hyperm-ethylation is not significantly associated with smoking status in NSCLC patients.

sensitivity analyses and publication bias

A sensitivity analysis, in which one study was removed at a time, was conducted to assess the stability of the results. The pooled ORs and HRs were not significantly changed, indicating that our analyses were stable. In the case of a relationship between RUNX3 hypermethylation in NSCLC and in normal lung tissue, the overall OR ranged from 4.48

(95% CI 2.04–9.87) to 6.17 (95% CI 3.66–10.41). The fun-nel plots are largely symmetric (Figure 6), suggesting there was no publication bias in the meta-analysis of RUNX3 methylation/expression and clinicopathological features.

Discussion

RUNX3 belongs to the runt-domain family of transcriptional factors, and its inactivation by promoter hypermethyla-tion plays an important role during normal development and in tumorigenesis in several types of tumors, including NSCLC.11,16–18,46–56_{To date, there have been some studies}

describing the precise expression, prognostic impact, and methylation status of RUNX3 in NSCLC; however, the role of inactivation of RUNX3 in NSCLC and its clinical signifi-cance have not been thoroughly investigated. We conducted

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Poorly differentiated Study or subgroup

Events Total Events Total Weight

Castro et al31 ₁₀ ₂₇ ₂₁ ₂₇ _25.0% _{0.17 (0.05, 0.56)} Sato et al34 ₃ ₂₁ ₂₆ ₉₁ _24.3% _{0.42 (0.11, 1.54)} Tang et al29 ₅ ₃₁ ₁₅ ₄₉ _25.4% _{0.44 (0.14, 1.35)} Yu et al27 ₁₆ ₂₃ ₁₀ ₃₅ _25.3% _{5.71 (1.81, 18.08)}

Total (95% Cl) 102 202 100% 0.65 (0.14, 2.99)

Total events 34 72

Study or subgroup log (hazard ratio) SE Weight Hazard ratio IV, fixed, 95% Cl

Tang et al29 _1.299 _0.578 _44.2% _{3.67 (1.18, 11.38)} Yanagawa et al33 _–0.693 _1.142 _11.3% _{0.50 (0.05, 4.69)} Yoshino et al32 _1.442 _0.576 _44.5% _{4.23 (1.37, 13.08)}

Total (95% Cl) 100% 3.12 (1.47, 6.62)

Moderately and highly

Heterogeneity: τ2_=2.04;_χ2_=19.50,_df_{=3 (}_P_=0.0002);_l2_=85% Test for overall effect: Z=0.55 (P=0.58)

Heterogeneity: χ2_=2.93,_df_{=2 (}_P_=0.23);_l2_=32% Test for overall effect: Z=2.96 (P=0.003)

Odds ratio

M–H, random, 95% Cl Odds ratio M–H, random, 95% Cl Study or subgroup Stage III + IV

Events Total Stage I + Il Events Total Weight

Castro et al31 ₁₀ ₃₂ ₁₃ ₂₂ _13.2% _{0.31 (0.10, 0.98)} Li et al36 ₅ ₁₀ ₁ ₁₅ _6.0% _{14.00 (1.30, 150.89)} Sato et al34 ₅ ₃₂ ₂₅ ₈₆ _13.7% _{0.45 (0.16, 1.31)} Suzuki et al35 ₁₇ ₇₁ ₈ ₅₂ _14.9% _{1.73 (0.68, 4.39)} Tang et al29 ₉ ₃₂ ₁₁ ₄₈ _14.1% _{1.32 (0.47, 3.66)} Yanagawa et al37 ₂ ₁₉ ₁₃ ₅₆ _9.8% _{0.39 (0.08, 1.91)} Yanagawa et al33 ₁₅ ₂₆ ₃₁ ₇₅ _15.1% _{1.94 (0.78, 4.78)} Yu et al27 ₁₉ ₃₃ ₇ ₂₅ _13.3% _{3.49 (1.15, 10.62)}

Total (95% Cl) 255 379 100% 1.21 (0.61, 2.42)

Total events 82 109 Heterogeneity: τ2_=0.62;_χ2_=19.89,_df_{=7 (}_P_=0.006);_l2_=65% Test for overall effect: Z=0.54 (P=0.59)

Odds ratio

M–H, random, 95% Cl Odds ratio M–H, random, 95% Cl

0.01

Favors (experimental) Favors (control)

0.1 1 10 100

0.01

Favors

0.1 1 10 100

0.01

Favors

0.1 1 10 100

Hazard ratio IV, fixed, 95% Cl

A

B

C

Figure 4 nsclc patients (n=634) pooled from eight studies to assess whether or not aberrant RUNX3 hypermethylation in nsclc is associated with a more advanced stage of disease.

Notes: (A) aberrant RUNX3 hypermethylation was not significantly higher in advanced NSCLC (III and IV) than in early stage NSCLC (I and II; OR 1.21, CI 0.61–2.42,

P=0.59). (B) aberrant RUNX3 hypermethylation was also not significantly higher in poorly differentiated NSCLC than that in moderately and highly differentiated NSCLC (Or 0.65, ci 0.14–2.99, P=0.58). (C) Three included studies investigated relationships between overall survival and RUNX3 hypermethylation. The pooled hr for overall survival showed that RUNX3 hypermethylation was associated with worse survival in nsclc (hr 3.12, 95% ci 1.47–6.62, P=0.003).

Abbreviations: CI, confidence interval; HR, hazard ratio; OR, odds ratio; M–H, Mantel–Haenszel; NSCLC, non-small cell lung cancer; SE, standard error.

the present meta-analysis to determine the correlation between RUNX3 hypermethylation and clinicopathologi-cal characteristics in NSCLC. Analysis of the pooled data showed that: NSCLC had higher hypermethylation than normal lung tissue (OR 6.17); RUNX3 hypermethylation was not strongly associated with smoking status in NSCLC patients (OR 0.51); RUNX3 hypermethylation played a more important role in the pathogenesis of adenocarci-noma (OR 0.41); aberrant RUNX3 hypermethylation was not significantly higher in advanced NSCLC (III and IV) than that in early stage NSCLC (I and II; OR 1.21); aberrant RUNX3 hypermethylation was not significantly higher in poorly differentiated NSCLC than in moderately and highly differentiated NSCLC (OR 0.65); and NSCLC patients with RUNX3 hypermethylation had a lower survival rate than those without RUNX3 hypermethylation (HR 3.12).

The results from the current study demonstrate that the hypermethylation rate of the RUNX3 gene promoter in NSCLC was significantly higher than in normal lung tissues (OR 7.08), indicating that hypermethylation of the RUNX3 promoter is common in NSCLC. Since changes in hypermethylation of the RUNX3 promoter are reversible, drug treatment through demethylation may be useful to inhibit carcinogenesis, progression, and improve prognosis. This approach brings new direction and hope for cancer treat ment through gene-targeted therapy. The results of this meta-analysis also suggest that RUNX3 methylation status could be used as a stratified factor for prediction of NSCLC patient survival. Increasing numbers of studies suggest that determination of the DNA methylation status of tumor suppressor genes has the potential to provide additional information over and above existing cancer markers.

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Suzuki et al35 ₂₀ ₉₇ ₅ ₂₆ _26.7% _{1.09 (0.37, 3.25)} 10 55 5 20 25.6% 0.67 (0.20, 2.26) 16 36 7 26 19.3% 2.17 (0.73, 6.44) Yoshino et al32 ₂ ₂₃ ₇ ₂₁ _28.5% _{0.19 (0.03, 1.05)}

Total (95% Cl) 211 93 100% 0.93 (0.52, 1.67)

Total events 48 24 Heterogeneity: χ2_=6.00,_df_{=3 (}_P_=0.11);_l2_=50%

Test for overall effect: Z=0.23 (P=0.82) _0.01

Favors (experimental) Favors (control)

0.1 1 10 100

Suzuki et al35 ₂₀ ₉₇ ₅ ₂₆ _17.5% _{1.09 (0.37, 3.25)} Sato et al34 ₁₂ ₇₁ ₁₆ ₄₃ _18.9% _{0.34 (0.14, 0.82)}

Yanagawa et al37 ₁₀ ₅₅ ₅ ₂₀ _16.6% _{0.67 (0.20, 2.26)} Yanagawa et al33 ₂₅ ₇₃ ₂₅ ₂₈ _16.1% _{0.06 (0.02, 0.23)} Yanagawa et al30

Yanagawa et al37 Yanagawa et al30

16 36 7 26 17.5% 2.17 (0.73, 6.44) Yoshino et al32 ₂ ₂₃ ₇ ₂₁ _13.3% _{0.19 (0.03, 1.05)}

Total (95% Cl) 355 164 100% 0.46 (0.17, 1.22)

Total events 85 65

Test for overall effect: Z=1.56 (P=0.12) 0.01

Favors (experimental) Favors (control)

0.1 1 10 100

Study or subgroup Smoker

Events Total NeverEvents Total Weight

Tang et al29 ₁₅ ₅₈ ₅ ₂₂ _37.5% _{1.19 (0.37, 3.77)} Yu et al27 ₁₆ ₄₂ ₁₀ ₁₆ _62.5% _{0.37 (0.11, 1.21)}

Odds ratio

M–H, fixed, 95% Cl Odds ratio M–H, fixed, 95% Cl

Total (95% Cl) 100 38 100% 0.68 (0.30, 1.50)

Total events 31 15 Heterogeneity: χ2_=1.90,_df_{=1 (}_P_=0.17);_l2_=47%

Test for overall effect: Z=0.96 (P=0.33) 0.01

Favors (experimental)

0.1

Favors (control)

1 10 100

A

Events Total NeverEvents Total Weight Odds ratio M–H, random, 95% Cl Odds ratio M–H, random, 95% Cl

B

Events Total NeverEvents Total Weight Odds ratio M–H, fixed, 95% Cl Odds ratio M–H, fixed, 95% Cl

C

Figure 5 subgroup analysis and meta-regression.

Notes: (A) Pooled Or for two studies from the People’s republic of china for patients with or without a smoking history (I2₌_{47%, Or 0.68, ci 0.30–1.50,}_P₌_0.33).

(B) Pooled Or from six studies from Japan for patients with or without smoking history (I2₌_{76%, Or 0.46, ci 0.17–1.22,}_P₌_{0.12). (}_C_{) Pooled Or from four studies from Japan}

with or without smoking history (I2₌_{50%, Or 0.93, ci 0.52–1.67,}_P₌_0.82).

Abbreviations: CI, confidence interval; OR, odds ratio; M–H, Mantel–Haenszel.

For the group in which the heterogeneity was strong, we performed subgroup analysis and meta-regression to analyze the sources of the heterogeneity. In the case of the relationship between frequency of RUNX3 hypermethyla-tion and smoking status, the heterogeneity was determined in patients from the People’s Republic of China and Japan (Figure 5). The strong heterogeneity appeared to be coming from the studies in Japanese. However, the exact sources of the heterogeneity still need to be determined. Due to the small number of studies and limited information available, we were not able to determine the exact sources of the het-erogeneity from the frequency of RUNX3 hypermethylation, pathological types, and clinical stages.

Epigenetics is the study of heritable and age-related modi-fications of the genome that occur without a change in the primary DNA sequence. Epigenetic alterations, particularly aber rant DNA methylation, one of the best-characterized epigenetic modifications, contribute to tumor initiation and

progression.57,58_{RUNX3 exerts pleiotropic effects during}

tumor suppression, and also inhibits the oncogenic Wnt signaling pathway via formation of a complex with the

TCF4-β-catenin complex and preventing it from binding

to target genes such as c-myc and cyclin D1.46,59_RUNX3

interacts with SMAD3/SMAD4 to activate inhibition of transforming growth factor-beta-dependent proliferation and apoptosis via activation of p21 and Bim. In addition, RUNX3

destabilizes the hypoxia-inducible factor-1 alpha (HIF-1α)

protein by promoting hydroxylation of proline in HIF-1α

through binding to HIF-1α/PHD2; thus, RUNX3 could

be a novel suppressor of HIF-1α and of hypoxia-mediated

angiogenesis.60_{Therefore, RUNX3 can be considered as a}

tumor suppressor, and its inactivation could contribute to tumor progression and a poor prognosis. Although only three studies evaluated the relationship between overall survival and hypermethylation of RUNX3 in NSCLC, they yielded

very similar results.29,32,33_{Based on this meta-analysis, we}

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A

0

SE (log [OR])

OR OR OR OR OR Hazard rati o

SE (log [OR])

SE (log [hazard ratio]

)

SE (log [OR]) 0 0

0 0 0. 2 0. 4 0. 6 0. 8 0 0. 5 0. 5 0. 5 0. 5 1 1 1 1. 5 1. 5 1. 5 1. 5 2 2 2 2 1 0.01 0.01 0.01 0.01 0.01 0.01 0. 10 .1 0. 1 0. 1 0. 1 0. 1 11 1 1 1 1 1 1 0. 8 0. 6 0. 4 0. 2 10 10 10 10 10 10 100 100 100 100 10 0 100

B

C

E

F

D

Figure 6

The funnel plots were largely symmetric, suggesting there was no publication bias in the meta-analysis of

RUNX3

hypermethylation and clinicopathological features.

Notes: ( A ) Funnel plot from seven studies comparing nsclc and normal lung tissue. ( B ) Funnel plot from eight studies determining RUNX3 hypermethylation and smoking status in nsclc patients. ( C ) Funnel plot from eleven studies comparing RUNX3 hypermethylation between squamous cell carcinoma and 389 adenocarcinoma. ( D ) Funnel plot from eight studies determining RUNX3 hypermethylation in early and advanced staged nsclc . ( E ) Funnel plot from four

studies in determining

RUNX3

hypermethylation in moderately and highly differentiated

nsclc

. (

F

) Funnel plot from three studies determining the relationship between

RUNX3

hypermethylation and overall survival in

nsclc

.

Abbreviations:

nsclc

, non-small cell lung cancer; O

r

, odds ratio;

se

, standard error.

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Xu et al

consider that hypermethylation of RUNX3 in NSCLC tends to indicate a poor prognosis.

Consistent results were shown in the sensitivity analyses, and no evidence of publication bias was found. This study has several potential limitations. First, the possibility of informa-tion and selecinforma-tion bias along with unidentified confounders could not be completely excluded because all of the included studies were observational. Second, the searching strategy was restricted to articles published in English. Articles with potentially high-quality data that were published in other languages were not included because of the anticipated dif-ficulties in obtaining accurate medical translations. Hence, caution should be taken when our findings are interpreted among the general populations.

Disclosure

The authors have no financial involvement with any organiza-tion or entity with a financial interest in the subject matter or materials discussed in this paper. The authors have no other conflicts of interest to report in regards to this paper.

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Clinicopathological significance and potential drug target of RUNX3 in non-small cell lung cancer: a&nbsp;meta-analysis

Drug Design, Development and Therapy

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Clinicopathological significance and potential drug

target of rUnX3 in non-small cell lung cancer:

a meta-analysis

Introduction

Materials and methods

search strategy and selection criteria

Data extraction and methodological

assessment

statistical analysis

Results

Identification of relevant studies

study characteristics

correlation of rUnX3 hypermethylation

with clinicopathological features

A

B

Discussion

A

B

C

A

B

C

A

B

C

E

F

D

Disclosure

References

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Clinicopathological significance and potential drug target of RUNX3 in non-small cell lung cancer: a meta-analysis