Literature DB >> 26082616

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.   

Abstract

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 quantitatively 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 adenocarcinoma that in squamous cell carcinoma. 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 associated 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.

Entities:  

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

Mesh:

Substances:

Year:  2015        PMID: 26082616      PMCID: PMC4461130          DOI: 10.2147/DDDT.S76358

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


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 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 prominence 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 differentiation 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 tissues; 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 sufficient 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 was compared against different tumor characteristics. Heterogeneity among the studies was evaluated using the Cochran’s Q test 23 and the I2 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 heterogeneity (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).
Figure 1

Flow chart of study selection.

Table 1

Quality assessment of the included studies according to the Newcastle–Ottawa scale

StudySelectionComparabilityExposureTotal score
Yu et al273227
Omar et al283238
Tang et al293227
Yanagawa et al303238
Castro et al312237
Yoshino et al323238
Yanagawa et al333238
Sato et al343227
Suzuki et al353238
Li et al363227
Yanagawa et al373238
Hawes et al383238
Feng et al393126

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.
Table 2

Basic characteristics of the included studies

StudyCountryPatients (n)MethodsPrimary aimMethylation siteRUNX3expression
Yu et al27People’s Republic of China58MSPDetermine methylation status of the RUNX3 gene and correlate results with clinicopathological characteristicsPromoter, CpG islands
Omar et al28Singapore9MSPDetermine frequency of RUNX3 promoter hypermethylationPromoter, CpG islands+
Tang et al29People’s Republic of China80MSPDetermine methylation status of the RUNX3 gene and correlate results with clinicopathological characteristicsPromoter, CpG islands
Yanagawa et al30Japan62MSPDetermine methylation status of ten tumor suppressors in NSCLCPromoter, CpG islands
Castro et al31Spain54MS-MLPADetermine clinical significance of several tumor suppressors in NSCLCPromoter, CpG islands
Yoshino et al32Japan44MSPDetermine methylation status of 14 tumor suppressors in NSCLCPromoter, CpG islands
Yanagawa et al33Japan101MSPDetermine whether methylation status of several genes is correlated with clinicopathological featuresPromoter, CpG islands
Sato et al34Japan120MSP, RT-PCRDetermine role of RUNX3 in pathogenesis of NSCLCPromoter, CpG islands+
Suzuki et al35Japan117MSPDetermine role of TGF-β-related genes in many human malignanciesPromoter, CpG islands
Li et al36South Korea25MSP, RT-PCRDetermine role of RUNX3 in pathogenesis of NSCLCPromoter, CpG islands+
Yanagawa et al37Japan75MSPAnalysis of clinicopathological significance of gene promoter methylation in NSCLCPromoter, CpG islands
Hawes et al38USA117MethyLightDetection of methylation profiles for 27 genes in NSCLCPromoter, CpG islands
Feng et al39USA49MethyLightAnalyze DNA methylation status of several genes in NSCLC patientsPromoter, 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.

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 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.
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.

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 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.
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.

Relationship between frequency of RUNX3 hypermethylation and pathological types

Previously, Omar et al reported that there was an obvious difference 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 pathogenesis 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 hypermethylation 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 hypermethylation 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.
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.

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 performed 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 associated with smoking status in NSCLC patients. However, 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 hypermethylation is not significantly associated with smoking status in NSCLC patients.
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.

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 funnel plots are largely symmetric (Figure 6), suggesting there was no publication bias in the meta-analysis of RUNX3 methylation/expression and clinicopathological features.
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; OR, odds ratio; SE, standard error.

Discussion

RUNX3 belongs to the runt-domain family of transcriptional factors, and its inactivation by promoter hypermethylation 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 significance have not been thoroughly investigated. We conducted the present meta-analysis to determine the correlation between RUNX3 hypermethylation and clinicopathological 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 adenocarcinoma (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. 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 hypermethylation 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 heterogeneity from the frequency of RUNX3 hypermethylation, pathological types, and clinical stages. Epigenetics is the study of heritable and age-related modifications 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 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 information and selection 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 difficulties in obtaining accurate medical translations. Hence, caution should be taken when our findings are interpreted among the general populations.
  59 in total

1.  Transcriptional silencing of the RUNX3 gene by CpG hypermethylation is associated with lung cancer.

Authors:  Qing-Lin Li; Hye-Ryeon Kim; Wun-Jae Kim; Joong-Kook Choi; Yong Hee Lee; Hwan-Mook Kim; Long Shan Li; Hoguen Kim; Joon Chang; Yoshiaki Ito; Kwang Youl Lee; Suk-Chul Bae
Journal:  Biochem Biophys Res Commun       Date:  2004-01-30       Impact factor: 3.575

2.  RUNX3 downregulation in human lung adenocarcinoma is independent of p53, EGFR or KRAS status.

Authors:  Mohd Feroz Mohd Omar; Kosei Ito; Min En Nga; Ross Soo; Bee Keow Peh; Tuty Muliana Ismail; Bhavin Thakkar; Richie Soong; Yoshiaki Ito; Manuel Salto-Tellez
Journal:  Pathol Oncol Res       Date:  2012-06-24       Impact factor: 3.201

3.  Runx3 protects gastric epithelial cells against epithelial-mesenchymal transition-induced cellular plasticity and tumorigenicity.

Authors:  Dominic Chih-Cheng Voon; Huajing Wang; Jason Kin Wai Koo; Tu Anh Pham Nguyen; Yit Teng Hor; Yeh-Shiu Chu; Kosei Ito; Hiroshi Fukamachi; Shing Leng Chan; Jean Paul Thiery; Yoshiaki Ito
Journal:  Stem Cells       Date:  2012-10       Impact factor: 6.277

4.  RUNX3 copy number predicts the development of UC-associated colorectal cancer.

Authors:  Toshiaki Watanabe; Takashi Kobunai; Hiroki Ikeuchi; Yoko Yamamoto; Keiji Matsuda; Soichiro Ishihara; Keijiro Nozawa; Hisae Iinuma; Takamitsu Kanazawa; Toshiaki Tanaka; Tadashi Yokoyama; Tsuyoshi Konishi; Kiyoshi Eshima; Yoichi Ajioka; Toshifumi Hibi; Mamoru Watanabe; Tetsuichiro Muto; Hirokazu Nagawa
Journal:  Int J Oncol       Date:  2011-01       Impact factor: 5.650

5.  Promoter hypermethylation of tumor suppressor and tumor-related genes in non-small cell lung cancers.

Authors:  Naoki Yanagawa; Gen Tamura; Hiroyuki Oizumi; Nobumasa Takahashi; Yasuhisa Shimazaki; Teiichi Motoyama
Journal:  Cancer Sci       Date:  2003-07       Impact factor: 6.716

6.  DNA methylation in tumor and matched normal tissues from non-small cell lung cancer patients.

Authors:  Qinghua Feng; Stephen E Hawes; Joshua E Stern; Linda Wiens; Hiep Lu; Zhao Ming Dong; C Diana Jordan; Nancy B Kiviat; Hubert Vesselle
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-03       Impact factor: 4.254

Review 7.  Alterations of tumor suppressor and tumor-related genes in the development and progression of gastric cancer.

Authors:  Gen Tamura
Journal:  World J Gastroenterol       Date:  2006-01-14       Impact factor: 5.742

Review 8.  DNA methylation data analysis and its application to cancer research.

Authors:  Xiaotu Ma; Yi-Wei Wang; Michael Q Zhang; Adi F Gazdar
Journal:  Epigenomics       Date:  2013-06       Impact factor: 4.778

9.  Runt-related transcription factor RUNX3 is a target of MDM2-mediated ubiquitination.

Authors:  Xin-Zi Chi; Jiyeon Kim; Yong-Hee Lee; Jung-Won Lee; Kyeong-Sook Lee; Heejun Wee; Wun-Jae Kim; Woo-Yoon Park; Byung-Chul Oh; Gary S Stein; Yoshiaki Ito; Andre J van Wijnen; Suk-Chul Bae
Journal:  Cancer Res       Date:  2009-10-06       Impact factor: 12.701

10.  Runx3 inactivation is a crucial early event in the development of lung adenocarcinoma.

Authors:  You-Soub Lee; Jung-Won Lee; Ju-Won Jang; Xin-Zi Chi; Jang-Hyun Kim; Ying-Hui Li; Min-Kyu Kim; Da-Mi Kim; Byeung-Sub Choi; Eung-Gook Kim; Jin-Haeng Chung; Ok-Jun Lee; You-Mie Lee; Joo-Won Suh; Linda Shyue Huey Chuang; Yoshiaki Ito; Suk-Chul Bae
Journal:  Cancer Cell       Date:  2013-11-11       Impact factor: 31.743

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  4 in total

1.  Gene set enrichment analysis and meta-analysis identified 12 key genes regulating and controlling the prognosis of lung adenocarcinoma.

Authors:  Wenwu He; Liangmin Fu; Qunlun Yan; Qiuxi Zhou; Kun Yuan; Linxin Chen; Yongtao Han
Journal:  Oncol Lett       Date:  2019-04-09       Impact factor: 2.967

2.  DNA Repair Genes ERCC1 and BRCA1 Expression in Non-Small Cell Lung Cancer Chemotherapy Drug Resistance.

Authors:  Shuai Wang; Feng Liu; Jingyan Zhu; Peng Chen; Hongxing Liu; Qi Liu; Junqing Han
Journal:  Med Sci Monit       Date:  2016-06-12

3.  Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data.

Authors:  María Gabriela Valdés; Iván Galván-Femenía; Vicent Ribas Ripoll; Xavier Duran; Jun Yokota; Ricard Gavaldà; Xavier Rafael-Palou; Rafael de Cid
Journal:  BMC Syst Biol       Date:  2018-11-20

Review 4.  Current Landscape of Epigenetics in Lung Cancer: Focus on the Mechanism and Application.

Authors:  Yuan-Xiang Shi; De-Qiao Sheng; Lin Cheng; Xin-Yu Song
Journal:  J Oncol       Date:  2019-12-12       Impact factor: 4.375

  4 in total

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