Literature DB >> 31859449

Over expression of METRN predicts poor clinical prognosis in colorectal cancer.

Xin Xu1, Chihao Zhang1, Yan Xia1, Jiwei Yu1.   

Abstract

BACKGROUND: The role of meteorin (METRN) in colorectal cancer has not been reported previously. We aimed to explore the relationship between METRN and colorectal cancer (CRC) prognosis.
METHODS: Data were retrieved from the Gene Expression Omnibus database. Gene expression values were log2 transformed and normalized by quantile normalization. Missing values were imputed with the R impute package. Differentially expressed genes were analyzed using the R limma package. METRN expression was compared between normal and CRC tissues and among different stages and subtypes of CRC. We assessed the relationship between METRN and KRAS/BRAF mutations in CRC. Five-year overall (OS), disease-free (DFS), and disease-specific survival (DSS) rates were determined by Kaplan-Meier analysis and analyzed by log-rank test.
RESULTS: METRN was expressed at a higher level in CRC (p = .0011) than in normal tissues, especially in advanced stages (p = .0343). METRN expression levels were higher in the MSI (dMMR) subtype (p < .001) and usually with BRAF mutations (p < .0001). METRN overexpression was associated with poor prognosis and low OS (p = .01014), DFS (p = .0146), and DSS (p < .0001) rates.
CONCLUSION: METRN overexpression is a predictive factor for poor prognosis in patients with CRC.
© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  GEO; Meteorin; colorectal cancer; prognosis

Year:  2019        PMID: 31859449      PMCID: PMC7057108          DOI: 10.1002/mgg3.1102

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

Colorectal cancer (CRC) is the third most common malignant tumor globally, and more than 1.3 million people are diagnosed with CRC each year (Allemani et al., 2018). It is well known that uncontrolled replication of medial colorectal epithelial cells is an important risk factor for CRC (Dziki et al., 2015). The symptoms of patients with CRC may vary from abnormal weight reduction to changes in defecation habits, due to the different stage, location, and size of tumors. Despite improvements in the diagnosis and treatment of CRC in recent years, the 5‐year survival rates of patients with CRC remain unsatisfactory. For advanced CRC, 5‐year survival rates have been reported to be less than 50% (Liu et al., 2019; Magaji, Moy, Roslani, & Law, 2017). Although an increasing number of biomarkers have been reported to predict CRC, prognostic indicators for patients with CRC remain limited. Meteorin (METRN, OMIM number: 610,998) is a neurotrophic factor with angiogenic properties. It was first described in 2004 (Nishino et al., 2004). Previous studies have shown that METRN is mainly expressed in the nervous system, where it plays an important protective role (Jorgensen et al., 2009; Lee, Han, Lee, Park, & Kim, 2010; Wang et al., 2012). METRN prevents striatal neurons from becoming excitotoxic, and it reverses motor deficits (Jorgensen et al., 2011). It also plays an antihyperalgesia role in a chronic constriction injury rat model (Xie, Qu, Munro, Petersen, & Porreca, 2019). In some studies, however, METRN has been shown to be associated with adverse effects in humans. For example, the serum METRN levels are significantly upregulated in pregnant women and can help predict pre‐eclampsia (Garces et al., 2015). In addition, METRN has been reported to exert a regulatory function on the progression of various diseases. In recent years, METRN and the meteorin‐like (METRNL) protein, which is homologous to METRN, have been implicated as biomarkers of hematological and endocrine diseases. Nevertheless, there are few studies on the role of METRN in CRC, and the relationship between METRN expression and CRC patients’ prognosis remains unclear. Therefore, to explore the role of METRN in CRC, we performed a retrospective analysis using data from the Gene Expression Omnibus (GEO) database. We found that METRN expression was upregulated in CRC and the overexpression of METRN was associated with poor prognosis of patients with CRC. Based on these results, we suggest that METRN may be used as a biomarker for the prognosis of CRC.

MATERIALS AND METHODS

Editorial policies and ethical considerations

This study was approved by the Institutional Ethical Review Board of Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University.

Data acquisition and collection

CRC patient data and RNA‐seq expression data were downloaded from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/). The following search strategy was used: (metrn OR meteorin) AND (colorectal OR cancer OR tumor OR tumour OR carcinoma). We downloaded the original data from the GEO database datasets, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE23878, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE33113, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13067, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13294, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582, and http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37892. The GenBank reference sequence of METRN is Chromosome 16—NC_000016.10, and the version number is 109.20190905.

Statistical analysis

R software was used for data analysis. We used the affy package (R language) to read and process these data. Data were log2 transformed, and the missing values were filled in with the impute package. Differentially expressed genes were filtered out using the limma package. Probes were matched to their corresponding genes using annotation files. We compared the expression levels of METRN between CRC tissues and normal tissues in the http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE23878 dataset. METRN expression was evaluated in different Dukes’ stages in the http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14333 and http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536 datasets. METRN expression levels were also determined in the microsatellite instability (MSI) and microsatellite stability (MSS) subtypes in the http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13067 and http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13294 datasets, respectively. The association of METRN expression level with the histopathological grading of tumors was also analyzed in the http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536 dataset. Moreover, the relationship between METRN expression level and BRAF and KRAS mutations was analyzed in the http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582 dataset. In addition, overall survival (OS), disease‐free survival (DFS), and disease‐specific survival (DSS) curves were generated using the Kaplan–Meier method, and these data were analyzed for statistical significance using a log‐rank test in the http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17536 and http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37892 datasets. In the above analyses, p‐values less than 0.05 indicated statistical significance.

RESULTS

METRN was expressed at a high level in CRC tissues

We compared the expression of METRN between CRC tissues and normal tissues and found that METRN was expressed at significantly higher levels in CRC tissues (Figure 1a, b).
Figure 1

METRN expression in normal tissues and colorectal cancer tissues (a‐b). METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

METRN expression in normal tissues and colorectal cancer tissues (a‐b). METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

METRN expression was higher in advanced colorectal cancer

We compared the expression of METRN in different stages of CRC. We found that METRN expression levels were higher in Dukes’ stage C and D tumors, compared with Dukes’ stage A and B tumors (Figure 2a). METRN expression levels were not significantly different between CRC stages A and B or between stages C and D. Therefore, we further divided the data into two groups and compared the differences between stage A/B and stage C/D. We found a significant increase in METRN expression in the latter group compared with the former group (Figure 2b).
Figure 2

Comparison of METRN expression according to Dukes’ stage (a) and early and advanced colorectal cancer (b). NS, not significant. METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

Comparison of METRN expression according to Dukes’ stage (a) and early and advanced colorectal cancer (b). NS, not significant. METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

METRN was upregulated in the MSI subtype group

We compared the expression level of METRN in MSI and MSS CRC subtypes. We found that METRN expression was higher in the MSI subtype than the MSS subtype (Figure 3a, b). METRN expression was upregulated to a greater extent in deficient mismatch repair (dMMR) CRC than in proficient mismatch repair (pMMR) CRC (Figure 3c). Moreover, METRN expression levels were higher in grade III CRC than in grade I or grade II CRC (Figure 3d).
Figure 3

Comparison of METRN expression between microsatellite instability and microsatellite stability subtypes (a‐c) and different colorectal cancer grades (d). METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

Comparison of METRN expression between microsatellite instability and microsatellite stability subtypes (a‐c) and different colorectal cancer grades (d). METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

METRN overexpression was associated with BRAF mutations

The BRAF mutation rate was significantly higher in the group with high METRN expression levels than in the group with low METRN expression levels (Figure 4a), while the mutation rate of KRAS was not significantly correlated with METRN expression level (Figure 4b). METRN was expressed at a high level in CRC with BRAF mutations (Figure 4c), but not in CRC with KRAS mutations (Figure 4d).
Figure 4

The relationship between METRN expression and BRAF/KRAS mutations (a and b), the expression of METRN in the BRAF and KRAS mutation‐containing CRC groups (c and d). NS, not significant. WT, wild‐type. MUT, mutation. ND, not determined. METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

The relationship between METRN expression and BRAF/KRAS mutations (a and b), the expression of METRN in the BRAF and KRAS mutation‐containing CRC groups (c and d). NS, not significant. WT, wild‐type. MUT, mutation. ND, not determined. METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

METRN was associated with poor prognosis in patients with CRC

A Kaplan–Meier curve was plotted to visualize the 5‐year OS, DFS, and DSS rates of patients with CRC. High levels of METRN expression were associated with worse 5‐year OS, DFS, and DSS rates in patients with CRC (Figure 5a‐d).
Figure 5

METRN expression was associated with overall, disease‐free, and disease‐specific survival (a‐d). METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

METRN expression was associated with overall, disease‐free, and disease‐specific survival (a‐d). METRN GenBank reference sequence: Chromosome 16—NC_000016.10, version number: 109.20190905

DISCUSSION

In this study, we found that METRN played a critical role in CRC and can be used as a prognostic indicator in patients with CRC. We found that METRN was expressed at a high level in CRC tissues compared with normal colorectal tissues. Park et al. previously showed that METRN is involved in the regulation of cerebral angiogenesis (Park et al., 2008). Angiogenesis is important for the growth of tumor cells. Advanced tumors often have a rich vascular base. Blocking angiogenesis pathways has been shown to be an effective strategy to improve prognosis in several types of cancer patients (Chan, 2016). METRN may be able to block the angiogenic activity of microvascular endothelial cells by inducing the expression of thrombin‐sensitive protein‐1/‐2 in astrocytes (Park et al., 2008). In addition, we found that METRN was mainly expressed in Dukes’ stages C and D, which are stages that are usually associated with poor prognosis and low survival rates. To the best of our knowledge, most previous studies on METRN have focused on its effects on the central nervous system (Jorgensen et al., 2009; Kim et al., 2014; Wang et al., 2012), and it has rarely been studied in CRC. This is the first study showing the significance of METRN in human CRC, indicating that METRN may perform a critical role in the prognosis of patients with CRC. CRC can be classified into the MSI and MSS subtypes, according to the microsatellite stability. The extent of mismatch repair (MMR) can be used as the basis of risk stratification. There is ample evidence that patients with dMMR have a lower risk of recurrence and longer survival time than those with pMMR (Sargent et al., 2010). MSI is the molecular marker for dMMR, and it is often associated with improved overall survival rates in early‐stage CRC. High‐level MSI (MSI‐high) occurs in approximately 15% of patients with CRC and is associated with improved survival rates (Popat, Hubner, & Houlston, 2005; Roth et al., 2012; Vilar & Tabernero, 2013). MSI CRC is more prone to somatic mutations than the MSS or pMMR subtypes of CRC (Chong et al., 2019). In this study, we found that METRN expression was upregulated in the MSI CRC group. This result may indicate that a higher incidence of somatic mutations occurs in CRC with high METRN expression. It is interesting to note that METRN was expressed at a higher level in the CRC group with BRAF mutations than in the group with KRAS mutations. KRAS and BRAF are common sites of somatic mutations in many types of human cancers, especially CRC (Yuen et al., 2002). Mutations in both these genes can increase mortality in CRC patients with both MSS‐ and MSI‐type tumors (Lochhead et al., 2013; Phipps et al., 2015). Recent studies have shown that MSI‐type colorectal tumors exhibit a relatively low frequency of BRAF and KARS mutations (Febbo et al., 2011; Funkhouser et al., 2012; Ogino, Kawasaki, Kirkner, Loda, & Fuchs, 2006). Yuen et al. showed that BRAF mutations are associated with early Dukes’ tumor stages in CRC (Yuen et al., 2002). However, Garcia et al. reported that BRAF mutations are associated with poorer differentiation, mucinous histology, MSI, and larger primary tumors (Sanz‐Garcia, Argiles, Elez, & Tabernero, 2017). Yaeger et al. found that metastatic CRCs with BRAF mutations were prone to progress from stage III disease, and T4 disease was more common in patients with stage III disease (Yaeger et al., 2014). Consequently, we are more inclined to conclude that BRAF mutations indicate poor prognosis. Further histopathological analysis of METRN expression in CRC confirmed our conclusion. In survival analysis, METRN was found to be a significant predictor of OS, DSS, and DFS, with rates of survival being negatively correlated with METRN expression. This suggested that METRN expression is a significant risk factor in patients with CRC. A previous study reported that METRNL could alleviate lipid‐induced inflammation and insulin resistance via AMPK or PPARδ‐dependent pathways (Jung et al., 2018). Some studies have shown that the AMPK and PPARδ signaling pathways play important roles in CRC. AMPK has an important autophagy‐inducing effect during the treatment of tumors, including CRC tumors, and this can be regulated by redox modification under oxidative stress (Kim, Kundu, Viollet, & Guan, 2011; Yan et al., 2019). Furthermore, it has been reported that PPARδ induces CRC metastasis and increases the activity of CRC cells through various pathways (Wang, Fu, Wei, Xiong, & DuBois, 2019; Zhou, Jin, Liu, Shi, & Hou, 2019). Therefore, we propose that METRN may be involved in regulating CRC prognosis through the above mechanisms. In addition, it has been reported that low serum METRNL levels may be associated with endothelial dysfunction (El‐Ashmawy, Selim, Hosny, & Almassry, 2019). Therefore, we propose that METRN expression may be involved in regulating the function of colorectal endothelial cells. Another study found that METRN is highly expressed in early embryos during gastrulation and is crucial for mesoendoderm development (Kim et al., 2014). This further increases the evidence that METRN regulates the function of colorectal endothelial cells. Although our study revealed that METRN might be a prognostic indicator in patients with CRC, we did not explore the possible mechanism of METRN’s involvement in CRC regulation. Therefore, we cannot completely confirm the specific role of METRN in CRC. Additional studies are recommended to explore the role of METRN in CRC. Since there are no previous reports on the relationship between METRN and CRC, our results will play a guiding role for future studies. In conclusion, overexpression of METRN was closely associated with advanced CRC stage and predicted poor clinical outcomes. Therefore, our results may have a more detailed reference value for the prognosis of patients with CRC in the future clinical practice.

CONFLICT OF INTEREST

The authors have no conflict of interest to declare.
  33 in total

1.  PPARδ agonist enhances colitis-associated colorectal cancer.

Authors:  Danya Zhou; Jianhua Jin; Qian Liu; Juanjuan Shi; Yongzhong Hou
Journal:  Eur J Pharmacol       Date:  2018-11-02       Impact factor: 4.432

2.  CpG island methylator phenotype-low (CIMP-low) in colorectal cancer: possible associations with male sex and KRAS mutations.

Authors:  Shuji Ogino; Takako Kawasaki; Gregory J Kirkner; Massimo Loda; Charles S Fuchs
Journal:  J Mol Diagn       Date:  2006-11       Impact factor: 5.568

3.  NCCN Task Force report: Evaluating the clinical utility of tumor markers in oncology.

Authors:  Phillip G Febbo; Marc Ladanyi; Kenneth D Aldape; Angelo M De Marzo; M Elizabeth Hammond; Daniel F Hayes; A John Iafrate; R Kate Kelley; Guido Marcucci; Shuji Ogino; William Pao; Dennis C Sgroi; Marian L Birkeland
Journal:  J Natl Compr Canc Netw       Date:  2011-11       Impact factor: 11.908

4.  Similarity of the phenotypic patterns associated with BRAF and KRAS mutations in colorectal neoplasia.

Authors:  Siu T Yuen; Helen Davies; Tsun L Chan; Judy W Ho; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Wendy W Tsui; Annie S Chan; P Andrew Futreal; Michael R Stratton; Richard Wooster; Suet Y Leung
Journal:  Cancer Res       Date:  2002-11-15       Impact factor: 12.701

5.  Meteorin promotes the formation of GFAP-positive glia via activation of the Jak-STAT3 pathway.

Authors:  Hye Shin Lee; Jiyeon Han; Soon-Hee Lee; Jeong Ae Park; Kyu-Won Kim
Journal:  J Cell Sci       Date:  2010-05-11       Impact factor: 5.285

Review 6.  Molecular dissection of microsatellite instable colorectal cancer.

Authors:  Eduardo Vilar; Josep Tabernero
Journal:  Cancer Discov       Date:  2013-03-01       Impact factor: 39.397

7.  Association between molecular subtypes of colorectal cancer and patient survival.

Authors:  Amanda I Phipps; Paul J Limburg; John A Baron; Andrea N Burnett-Hartman; Daniel J Weisenberger; Peter W Laird; Frank A Sinicrope; Christophe Rosty; Daniel D Buchanan; John D Potter; Polly A Newcomb
Journal:  Gastroenterology       Date:  2014-09-30       Impact factor: 22.682

8.  Characterization of Meteorin--an evolutionary conserved neurotrophic factor.

Authors:  Jesper Roland Jørgensen; Lachlan Thompson; Lone Fjord-Larsen; Christina Krabbe; Malene Torp; Nisse Kalkkinen; Claus Hansen; Lars Wahlberg
Journal:  J Mol Neurosci       Date:  2009-03-04       Impact factor: 3.444

9.  Survival rates and predictors of survival among colorectal cancer patients in a Malaysian tertiary hospital.

Authors:  Bello Arkilla Magaji; Foong Ming Moy; April Camilla Roslani; Chee Wei Law
Journal:  BMC Cancer       Date:  2017-05-18       Impact factor: 4.430

10.  Antihyperalgesic effects of Meteorin in the rat chronic constriction injury model: a replication study.

Authors:  Jennifer Y Xie; Chaoling Qu; Gordon Munro; Kenneth A Petersen; Frank Porreca
Journal:  Pain       Date:  2019-08       Impact factor: 7.926

View more
  4 in total

1.  The Prognostic Value and Immune Landscapes of a m6A/m5C/m1A-Related LncRNAs Signature in Head and Neck Squamous Cell Carcinoma.

Authors:  Enhao Wang; Yang Li; Ruijie Ming; Jiahui Wei; Peiyu Du; Peng Zhou; Shimin Zong; Hongjun Xiao
Journal:  Front Cell Dev Biol       Date:  2021-11-30

2.  Identification of Melanoma Subsets Based on DNA Methylation Sites and Construction of a Prognosis Evaluation Model.

Authors:  Li Tengda; Qian Cheng; Sun Yi
Journal:  J Oncol       Date:  2022-10-11       Impact factor: 4.501

3.  Neurensin-2 promotes proliferation, invasion and migration of colorectal cancer cells via interaction with SOX12.

Authors:  Gang Wang; Kai Yang
Journal:  Oncol Lett       Date:  2020-10-29       Impact factor: 2.967

4.  Identification of the subtypes of gastric cancer based on DNA methylation and the prediction of prognosis.

Authors:  Tengda Li; Xin Chen; Mingli Gu; Anmei Deng; Cheng Qian
Journal:  Clin Epigenetics       Date:  2020-10-28       Impact factor: 6.551

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.