Literature DB >> 23775303

An essential microRNA maturing microprocessor complex component DGCR8 is up-regulated in colorectal carcinomas.

Bora Kim1, Jae-Ho Lee, Jong Wook Park, Taeg Kyu Kwon, Seong Kyu Baek, Ilseon Hwang, Shin Kim.   

Abstract

MicroRNAs (miRNAs) regulate gene expression through degradation and/or translational repression of target mRNAs. Dysregulations in the miRNA machinery may be involved in carcinogenesis of colorectal cancer (CRC). The purpose of the current study was to evaluate the DiGeorge syndrome critical region gene 8 (DGCR8) and argonaute 2 (AGO2) mRNA expression in CRC and to evaluate the value of clinical parameters on their expression. We investigated the mRNA expressions of DGCR8 and AGO2 in 60 CRC tissues and adjacent histologically non-neoplastic tissues by using quantitative real-time PCR. Our study revealed that the mRNA expression level of DGCR8 is up-regulated in CRC. However, AGO2 mRNA expression was not significantly altered in CRC tissues. Neither DGCR8 nor AGO2 mRNA expression level was not associated with any clinical parameters, including age, tumor stage, CEA titer, and BMI in CRC cases. However, the mRNA expression levels of DGCR8 and AGO2 were positively correlated to each other. This study demonstrated for the first time that the DGCR8 mRNA expression level was up-regulated in CRC, suggesting its important role in pathobiology of colorectal carcinogenesis.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23775303      PMCID: PMC4113675          DOI: 10.1007/s10238-013-0243-8

Source DB:  PubMed          Journal:  Clin Exp Med        ISSN: 1591-8890            Impact factor:   3.984


Introduction

Colorectal cancer (CRC) is a malignant tumor that originates from the epithelium of colon and rectum and the third most common incident cancer among men worldwide [1]. It has been reported that the five leading primary cancer sites were the stomach, colon and rectum, lung, liver, and prostate in male during 2009 in Korea [2]. In Korea, annual percentage changes of CRC incidence in age-standardized incidence rates were 6.8 % in men between 1999 and 2009 using the world standard population as a standard population [2]. The pathogenesis of CRC is intricate and tightly regulated mechanisms, which involve the accumulation of both genetic and epigenetic alterations in the proliferating cells [3]. In recent years, gradually accumulating evidences have demonstrated that a wide range of biological processes such as cellular development, differentiation, proliferation, cell death, metabolism, and carcinogenesis are associated with a group of endogenous, small (approximately 17 nucleotides), and noncoding RNAs called microRNAs (miRNAs) [4-6]. The biogenesis of miRNA occurs in a well-organized process, referred to as the “miRNA machinery” [7]. The microprocessor complex mediates intranuclear biogenesis of precursor miRNAs from the primary miRNA transcript. Extranuclear, mature miRNAs are incorporated into the RNA-induced silencing complex (RISC) before interaction with complementary target mRNA that leads to protein translational repression or mRNA destabilization [8, 9]. The DiGeorge syndrome critical region gene 8 (DGCR8) is a part of microprocessor complex and has been shown to be essential for miRNA maturing [10]. The argonaute 2 (AGO2) protein is a constituent of a complex protein designated as RISC [11]. Previous study has demonstrated that DGCR8 mRNA expression level is down-regulated in prostate cancer [12]. Up-regulated mRNA expression level of DGCR8 has been revealed in epithelial skin cancer [8] and pleomorphic adenomas of the salivary gland [13]. It has been reported that the AGO2 mRNA expression level is up-regulated in epithelial skin cancer [8]. Though Papachristou et al. [7] studied the mRNA expression levels of Dicer, Drosha, and AGO2 in CRCs, there are little literatures about the mRNA expression level of DGCR8 and clinicopathologic association in the cancers. In the present study, we aimed to investigate the mRNA expression levels of DGCR8 and AGO2 in human CRC tissues and corresponding adjacent non-neoplastic tissues from male patients with same cancer, and examined the correlation of the mRNA levels of these miRNA machinery components with various clinicopathologic parameters, including age, tumor stage, BMI, and CEA titer.

Materials and methods

Patients and tissues

Altogether, sixty male patients diagnosed with CRC were included in the study. Colorectal adenocarcinomas and adjacent non-neoplastic tissues were obtained from the patients undergoing surgery in Dongsan Medical Center (Daegu, Korea) between April 2008 and January 2010. Tissue samples were immediately frozen in liquid nitrogen and stored at −80 °C until RNA isolation. Tissue samples were provided from Keimyung Human Bio-resource Bank, Korea. All patients were explained the study purpose, and informed consent was obtained from each study participant. The protocols were approved by the Institutional Review Board of Keimyung University Dongsan Medical Center (approval #12–41).

RNA and quantitative real-time PCR

Total cellular RNA was extracted from tissues using the TRIzol reagent (Molecular Research Center Inc., Cincinnati, OH, USA). RNA was quantified using Nanodrop 1000 (Thermo Scientific, Wilmington, Denmark). Each cDNA was synthesized form 2 μg of total RNA using M-MLV reverse transcriptase (Promega, Madison, WI, USA) according to the manufacturer’s protocol. By using the specific primer pairs described in Table 1 and SYBR GREEN Premix (Toyobo, Japan), quantitative real-time PCR (qPCR) was performed on the LightCycler® 480 real-time PCR system (Roche Diagnostics, Mannheim, Germany). β-Actin was used as a housekeeping gene for normalization, and a no template sample was used as a negative control.
Table 1

Primer sequences of miRNA machinery components used in quantitative PCR

ComponentsPositionSequence
AGO2Forward5′-TCATGGTCAAAGATGAGATGACAGA-3′
Reverse5′-TTTATTCCTGCCCCCGTAGA-3′
DGCR8Forward5′-CAAGCAGGAGACATCGGACAAG-3′
Reverse5′-CACAATGGACATCTTGGGCTTC-3′
β-ActinForward5′-CAGCCATGTACGTTGCTATCCAGG-3′
Reverse5′-AGGTCCAGACGCAGGATGGCATG-3′
Primer sequences of miRNA machinery components used in quantitative PCR

Statistical analysis

Statistical analysis was performed with SPSS 18.0 (SPSS Inc., Chicago, IL, USA). Statistical comparisons for significance were made with Wilcoxon signed-rank test for paired samples. Differences between the groups were analyzed statistically by using Student’s t test. The correlations between DGCR8 and AGO2 expressions and clinicopathologic parameters were assessed with the Pearson’s correlation coefficient analysis. Generally, P value of <0.05 was established to denote significance in all statistical analyses performed in the study.

Results

Expression levels of DGCR8 and AGO2 mRNA in colorectal cancer tissues and adjacent non-neoplastic colorectal tissues of CRC patients

The mRNA expression levels of DGCR8 and AGO2 were quantified by qPCR in paired specimens of human cancerous colorectal tissues and their respective non-neoplastic colorectal tissues from 60 patients with CRC. The DGCR8 and AGO2 mRNA levels were normalized to the level of β-actin mRNA. Then, the qPCR data were analyzed by using ΔCT values [14]. Our study revealed that DGCR8 mRNA expression was significantly higher in carcinomatous tissues than in the corresponding non-neoplastic tissues in 44 of the 60 patients with CRC (P < 0.001; Fig. 1). However, AGO2 mRNA expression was not significantly altered (P = 0.259, Fig. 2). The mean value of DGCR8 mRNA expression level in cancerous tissues was significantly higher than in non-neoplastic colorectal tissues (P < 0.001); however, the mean value of AGO2 mRNA expression level was not different between cancerous and non-neoplastic tissues (Fig. 3).
Fig. 1

The relative DGCR8 mRNA level (normalized to the corresponding β-actin mRNAs) in tumor tissues compared to adjacent non-cancerous colorectal tissues. Asterisk indicates Wilcoxon signed-rank test

Fig. 2

The relative AGO2 mRNA level (normalized to the corresponding β-actin mRNAs) in tumor tissues compared to adjacent non-cancerous colorectal tissues. Asterisk indicates Wilcoxon signed-rank Test

Fig. 3

Relative DGCR8 and AGO2 mRNA expression in CRC group and in the control group; *P < 0.001; **P = 0.26

The relative DGCR8 mRNA level (normalized to the corresponding β-actin mRNAs) in tumor tissues compared to adjacent non-cancerous colorectal tissues. Asterisk indicates Wilcoxon signed-rank test The relative AGO2 mRNA level (normalized to the corresponding β-actin mRNAs) in tumor tissues compared to adjacent non-cancerous colorectal tissues. Asterisk indicates Wilcoxon signed-rank Test Relative DGCR8 and AGO2 mRNA expression in CRC group and in the control group; *P < 0.001; **P = 0.26

Relationship between DGCR8 and AGO2 mRNA expression levels and the clinical parameters in patients with CRC

The recent study demonstrated that AGO2 is not associated with clinicopathological features, including patient age, gender, and overall survival or tumor location, grade, stage, and size, in CRC [7]. Therefore, we investigated whether the mRNA expression levels of DGCR8 and AGO2 are associated with any clinicopathologic parameters of CRC. Prior to statistical analysis, raw qPCR data of DGCR8 and AGO2 mRNA expression levels were normalized to reference gene, β-actin. Then, the qPCR data were analyzed by the 2−ΔΔCT method [14]. To evaluate the influence of the clinical parameters on mRNA expression of DGCR8 and AGO2, patients were classified according to each clinical characteristic. The clinicopathologic parameters in 60 patients (mean age: 63.6 ± 10.4 years) with CRC according to DGCR8 and AGO2 mRNA expression levels were presented in Table 2. Unfortunately, DGCR8 and AGO2 mRNA expression levels were not statistically associated with age, tumor stage (TNM), CEA titer, and BMI clinical parameters in our CRC specimens. However, higher mRNA expression level of DGCR8 was found in higher group of AGO2 mRNA expression level, and vise versa. Therefore, the mRNA expression levels of DGCR8 and AGO2 were positively correlated to each other.
Table 2

Correlation of the clinicopathologic parameters with DGCR8 and AGO2 mRNA expression levels in CRCs

VariablesTotalAGO2 P DGCR8 P
Total60 (100)29 (48.3)39 (65.0)
Age0.6310.337
 ≤5025 (41.7)13 (52.0)18 (72.0)
 >5035 (58.3)16 (45.7)21 (60.0)
BMI0.9010.976
 ≤2543 (71.7).21 (48.8)28 (65.1)
 >2517 (28.3)8 (47.1)11 (64.7)
T stage0.9700.713
 T14 (6.7)2 (50.0)3 (75.0)
 T29 (15.0)4 (44.4)5 (55.6)
 T336 (60.0)17 (47.2)25 (69.4)
 T411 (18.3)6 (65.5)6 (54.5)
N stage0.5040.405
 N033 (55.0)14 (42.4)21 (63.6)
 N116 (26.7)9 (56.3)10 (62.5)
 N210 (16.7)6 (60.0)8 (80.0)
 N31 (1.7)0 (0)0 (0)
M stage0.2690.664
 Negative56 (93.3)26 (46.4)36 (64.3)
 Positive4 (6.7)3 (75.0)3 (75.0)
CEA (ng/ml)0.2820.309
 ≤547 (78.3)21 (44.7)29 (61.7)
 >513 (21.7)8 (61.5)10 (76.9)
AGO2 <0.001
 High29 (48.3)27 (93.1)
 Low31 (51.7)12 (38.7)
DGCR8 <0.001
 High39 (65.0)27 (69.2)
 Low21 (35.0)2 (9.5)

Significant bold values indicate statistical analysis

DGCR8 DiGeorge syndrome critical region gene 8, AGO2 argonaute 2

Correlation of the clinicopathologic parameters with DGCR8 and AGO2 mRNA expression levels in CRCs Significant bold values indicate statistical analysis DGCR8 DiGeorge syndrome critical region gene 8, AGO2 argonaute 2

Discussion

MicroRNA pathway is involved in the regulation of various cellular processes, including cellular development, differentiation, proliferation, cell death, metabolism, and carcinogenesis [4-6]. Deregulation of miRNAs in various cancers may be related with altered expression and function of the genes involved in the miRNA machinery components, including DGCR8 [13] and AGO2 [15]. The objectives of this study were to investigate the mRNA expression levels of DGCR8 and AGO2 by RT-qPCR method in pair-matched colorectal specimens and analyze their correlation with different clinical characteristics. We therefore identified the mRNA expression levels of DGCR8 and AGO2 in CRC tissue compared with adjacent non-neoplastic colorectal tissue in 60 patients with CRC. We determined that DGCR8 mRNA expression level was up-regulated in CRC. Just like the results of our experiment, Sand et al. [8] demonstrated that DGCR8 mRNA expression level was up-regulated in epithelial skin cancers. However, Shaikhibrahim et al. [12] showed also its down-regulation in prostate cancer. DGCR8 is a cofactor for Drosha, an RNAse III endonuclease, and also a part of the microprocessor complex and has been found to be essential for miRNAs maturation [10]. Drosha and DGCR8 have evolved to regulate each other via a complicated double-negative feedback circuit in which DGCR8 stabilizes Drosha through a direct interaction [16]. It thus would be needed to assess the correlation between DGCR8 and Drosha mRNA expression levels in CRC cases. Interestingly, we found the significant association between DGCR8 and AGO2 mRNA expression levels in CRC. This result suggested that DGCR8 and AGO2 may be associated with colorectal carcinogenesis together. Recently, rapidly accumulating evidence has been shown that perturbation in miRNA biogenesis is closely associated with development and progression of a variety of cancers, including CRC [7, 17, 18]. As one of key enzymes in the miRNA generating process, DICER and DROSHA have been frequently studied [19-25]; however, there was a little study about DGCR8 and AGO2 [8, 26]. Additionally, DGCR8 and AGO2 mRNA expression levels analysis did not even show any significant differences between malignant melanomas (primary cutaneous malignant melanoma and cutaneous malignant melanoma metastases) and benign melanocytic nevi [26]. Nevertheless, because DGCR8 and AGO2 are two important components in miRNA maturation, we investigated whether the altered mRNA expression levels of DGCR8 and AGO2 are associated with the carcinogenesis of CRC. As shown in Table 2, no association between altered expressions of the two miRNA machinery components and clinical parameters, including age, tumor stage, CEA titer, and BMI, was revealed. Our result, in agreement with recent study [7], showed no association between DICER, DROSHA, and AGO2 and clinicopathological characteristics. Due to a short follow-up period, we could not assess the prognostic value of each miRNA machinery component in our study group. Therefore, further investigation with longer follow-up period will resume, and prognostic impact of the components will be analyzed as soon as possible. In this study, we investigated the mRNA expression levels of two selected miRNA machinery components, DGCR8 and AGO2, and their clinical association in CRCs for the first time. Our data demonstrated that DGCR8 is significantly up-regulated in CRC, suggesting that reduced expression of DGCR8 may play an important role during the process of colorectal carcinogenesis. Considering deep correlation between DGCR8 and AGO2 in CRCs, further study of these miRNA components should be needed in various colorectal neoplastic regions.
  26 in total

Review 1.  Illuminating the silence: understanding the structure and function of small RNAs.

Authors:  Tariq M Rana
Journal:  Nat Rev Mol Cell Biol       Date:  2007-01       Impact factor: 94.444

2.  Analyzing real-time PCR data by the comparative C(T) method.

Authors:  Thomas D Schmittgen; Kenneth J Livak
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

3.  Dicer 1, ribonuclease type III modulates a reprogramming effect in colorectal cancer cells.

Authors:  Dyah Laksmi Dewi; Hideshi Ishii; Naotsugu Haraguchi; Shimpei Nishikawa; Yoshihiro Kano; Takahito Fukusumi; Miyuki Ozaki; Toshiyuki Saito; Daisuke Sakai; Taroh Satoh; Yuichiro Doki; Masaki Mori
Journal:  Int J Mol Med       Date:  2012-03-19       Impact factor: 4.101

4.  Expression of the ribonucleases Drosha, Dicer, and Ago2 in colorectal carcinomas.

Authors:  Dionysios J Papachristou; Angeliki Korpetinou; Efstathia Giannopoulou; Anna G Antonacopoulou; Helen Papadaki; Petros Grivas; Chrisoula D Scopa; Haralabos P Kalofonos
Journal:  Virchows Arch       Date:  2011-07-18       Impact factor: 4.064

5.  Dicer, Drosha, and outcomes in patients with ovarian cancer.

Authors:  William M Merritt; Yvonne G Lin; Liz Y Han; Aparna A Kamat; Whitney A Spannuth; Rosemarie Schmandt; Diana Urbauer; Len A Pennacchio; Jan-Fang Cheng; Alpa M Nick; Michael T Deavers; Alexandra Mourad-Zeidan; Hua Wang; Peter Mueller; Marc E Lenburg; Joe W Gray; Samuel Mok; Michael J Birrer; Gabriel Lopez-Berestein; Robert L Coleman; Menashe Bar-Eli; Anil K Sood
Journal:  N Engl J Med       Date:  2008-12-18       Impact factor: 91.245

6.  DICER1, DROSHA and miRNAs in patients with non-small cell lung cancer: implications for outcomes and histologic classification.

Authors:  C Vanesa Díaz-García; Alba Agudo-López; Carlos Pérez; José A López-Martín; J Luis Rodríguez-Peralto; Javier de Castro; Ana Cortijo; Miriam Martínez-Villanueva; Lara Iglesias; Rocío García-Carbonero; Juan A Fresno Vara; Angelo Gámez-Pozo; José Palacios; Hernán Cortés-Funes; Luis Paz-Ares; M Teresa Agulló-Ortuño
Journal:  Carcinogenesis       Date:  2013-01-24       Impact factor: 4.944

7.  Alterations in miRNA processing and expression in pleomorphic adenomas of the salivary gland.

Authors:  Xiaoying Zhang; Murray Cairns; Barbara Rose; Christopher O'Brien; Kerwin Shannon; Jonathan Clark; Jennifer Gamble; Nham Tran
Journal:  Int J Cancer       Date:  2009-06-15       Impact factor: 7.396

8.  Dicer and Drosha expression and response to Bevacizumab-based therapy in advanced colorectal cancer patients.

Authors:  Bruno Vincenzi; Alice Zoccoli; Gaia Schiavon; Michele Iuliani; Francesco Pantano; Emanuela Dell'aquila; Raffaele Ratta; Andrea Onetti Muda; Giuseppe Perrone; Chiara Brunelli; Pierpaolo Correale; Elisabetta Riva; Antonio Russo; Fotios Loupakis; Alfredo Falcone; Daniele Santini; Giuseppe Tonini
Journal:  Eur J Cancer       Date:  2012-12-22       Impact factor: 9.162

9.  Altered expression of the miRNA processing endoribonuclease Dicer has prognostic significance in human cancers.

Authors:  Loredana Pellegrino; Jimmy Jacob; Laura Roca-Alonso; Jonathan Krell; Leandro Castellano; Adam E Frampton
Journal:  Expert Rev Anticancer Ther       Date:  2013-01       Impact factor: 4.512

10.  Epigenetics-related genes in prostate cancer: expression profile in prostate cancer tissues, androgen-sensitive and -insensitive cell lines.

Authors:  David Adler; Andreas Lindstrot; Jacqueline Ochsenfahrt; Kerstin Fuchs; Nicolas Wernert
Journal:  Int J Mol Med       Date:  2012-11-06       Impact factor: 4.101

View more
  20 in total

Review 1.  Dysregulation of microRNA biogenesis machinery in cancer.

Authors:  Akiko Hata; Risa Kashima
Journal:  Crit Rev Biochem Mol Biol       Date:  2015-12-01       Impact factor: 8.250

Review 2.  MicroRNAs in colorectal cancer as markers and targets: Recent advances.

Authors:  Jing-Jia Ye; Jiang Cao
Journal:  World J Gastroenterol       Date:  2014-04-21       Impact factor: 5.742

Review 3.  MicroRNA biogenesis pathways in cancer.

Authors:  Shuibin Lin; Richard I Gregory
Journal:  Nat Rev Cancer       Date:  2015-06       Impact factor: 60.716

4.  miRNA biogenesis-associated RNase III nucleases Drosha and Dicer are upregulated in colorectal adenocarcinoma.

Authors:  Shin Kim; Mei Ling Song; Hyeonji Min; Ilseon Hwang; Seong Kyu Baek; Taeg Kyu Kwon; Jong-Wook Park
Journal:  Oncol Lett       Date:  2017-07-26       Impact factor: 2.967

5.  DGCR8/ZFAT-AS1 Promotes CDX2 Transcription in a PRC2 Complex-Dependent Manner to Facilitate the Malignant Biological Behavior of Glioma Cells.

Authors:  Fangfang Zhang; Xuelei Ruan; Jun Ma; Xiaobai Liu; Jian Zheng; Yunhui Liu; Libo Liu; Shuyuan Shen; Lianqi Shao; Di Wang; Chunqing Yang; Heng Cai; Zhen Li; Ziyi Feng; Yixue Xue
Journal:  Mol Ther       Date:  2019-11-20       Impact factor: 11.454

Review 6.  Colorectal Cancer: From the Genetic Model to Posttranscriptional Regulation by Noncoding RNAs.

Authors:  María Antonia Lizarbe; Jorge Calle-Espinosa; Eva Fernández-Lizarbe; Sara Fernández-Lizarbe; Miguel Ángel Robles; Nieves Olmo; Javier Turnay
Journal:  Biomed Res Int       Date:  2017-05-10       Impact factor: 3.411

7.  Complexity in regulation of microRNA machinery components in invasive breast carcinoma.

Authors:  Sun Young Kwon; Jae-ho Lee; Bora Kim; Jong-Wook Park; Taeg Kyu Kwon; Sun Hee Kang; Shin Kim
Journal:  Pathol Oncol Res       Date:  2014-02-27       Impact factor: 3.201

8.  DCLK1, a promising colorectal cancer stem cell marker, regulates tumor progression and invasion through miR-137 and miR-15a dependent manner.

Authors:  Sepideh Razi; Asieh Sadeghi; Zeynab Asadi-Lari; Kevin J Tam; Elham Kalantari; Zahra Madjd
Journal:  Clin Exp Med       Date:  2020-09-23       Impact factor: 3.984

Review 9.  MicroRNA Machinery Genes as Novel Biomarkers for Cancer.

Authors:  Jing-Tao Huang; Jin Wang; Vibhuti Srivastava; Subrata Sen; Song-Mei Liu
Journal:  Front Oncol       Date:  2014-05-19       Impact factor: 6.244

Review 10.  MicroRNA Processing and Human Cancer.

Authors:  Masahisa Ohtsuka; Hui Ling; Yuichiro Doki; Masaki Mori; George Adrian Calin
Journal:  J Clin Med       Date:  2015-08-21       Impact factor: 4.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.