Journal of Cancer Prevention 2017; 22(1): 33-39
Published online March 30, 2017
https://doi.org/10.15430/JCP.2017.22.1.33
© Korean Society of Cancer Prevention
Jung Won Lee1,2, Nayoung Kim1,3, Ji Hyun Park3, Hee Jin Kim1,4, Hyun Chang1, Jung Min Kim5, Jin-Wook Kim1,3, and Dong Ho Lee1,3
1Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea, 2Department of Internal Medicine, Samsung Changwon Hospital, Changwon, Korea, 3Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea, 4Department of Internal Medicine, Myongji Hospital, Goyang, Korea, 5NAR Center, Inc., Daejeon Oriental Hospital of Daejeon University, Daejeon, Korea
Correspondence to :
Nayoung Kim, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam 13620, Korea, Tel: +82-31-787-7008, Fax: +82-31-787-4051, E-mail: nayoungkim49@empas.com, ORCID: Nayoung Kim, http://orcid.org/0000-0002-9397-0406
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
MicroRNAs (miRNAs) are key post-translational mechanisms which can regulate gene expression in gastric carcinogenesis. To identify miRNAs responsible for gastric carcinogenesis, we compared expression levels of miRNAs between gastric cancer tissue and non-cancerous gastric mucosa according to Total RNA was extracted from the cancerous regions of formalin-fixed, paraffin-embedded tissues of A total of 156 miRNAs in the aberrant miRNA profiles across the miRNA microarray showed differential expression (at least a 2-fold change, miRNA expression of the gastric cancer implies that different but partially common gastric cancer carcinogenic mechanisms might exist according to Background
Methods
Results
Conclusions
Keywords: Gastric cancer, microRNAs,
Gastric cancer is one of the most common cancers and the first leading cause of cancer death in eastern Asian countries.1 Although numerous efforts were undertaken to reduce the development and progression to cancer death. The rate of gastric cancer death is still high. Many studies have focused on gastric cancer pathogenesis to overcome this poor situation. However, molecular pathogenesis of the gastric cancer remains insufficient. Meanwhile,
MicroRNAs (miRNAs) are about 20 length nucleotides of non-coding RNA. miRNA can regulate gene expression by hybridizing to the 3′-untranslated region of specific messenger RNA targets. miRNA is one of the most important mechanism functioning as a post-transcriptional regulator, such as DNA methylation or acetylation. miRNA can regulate many biological processes, including development of chronic inflammatory diseases or various neoplastic diseases. Moreover, even single miRNA can downregulate or upregulate multiple targets which related to same metabolic and signaling pathway.7 More than 1,000 miRNAs have been founded in humans. Recent studies regarding miRNA profiling indicated that many miRNAs were significantly dysregulated in gastric cancer mucosa.8 Additionally, another researcher suggested that
Recently, the present investigators reported dysregulated miRNA status at both
Thirty-two gastric cancer patients matched for age, sex, and
Three types of
After manual dissection under microscopic guidance avoiding the contamination of inflammatory cells and stromal cells, Hematoxylin & eosin-stained sections, 50 mm in thickness from cancerous and noncancerous regions of intestinal type of gastric cancer formalin-fixed paraffin-embedded (FFPE) samples, were reviewed by one pathologist. Each section was incubated in xylene and total RNA was extracted using a RecoverAll™ Total Nucleic Acid Isolation Kit (Life Technologies, Carlsbad, CA, USA). Each 400 ng RNA was dephosphorylated with 15 units of calf intestine alkaline phosphatase, followed by RNA denaturation with 40% dimethylsulfoxide. Dephosphorylated RNA was ligated with pCp-Cy3 mononucleotide and resuspended in Gene Expression Blocking Reagent and Hi-RPM Hybridization buffer. The denatured and labeled samples were pipetted onto assembled Agilent Human miRNA microarray Release 16.0 platform and hybridized at 55°C for 20 hours at 20 rpm. The hybridization images were analyzed using a DNA microarray scanner (Agilent Technologies, Palo Alto, CA, USA). The average fluorescence intensity for each spot was calculated and local background was subtracted. Data visualization and analysis were performed with GeneSpring GX 7.3 software (Agilent Technologies). Signal cutoff measurements were
The microarray showed several miRNAs which were at least 2-fold change with statistical significance (
No interarray normalization was applied on the array, because the similarity between matched normal and cancer sample arrays was unknown. To identify distinct miRNAs hybridization signals, one-way analysis of variance (ANOVA) (
Schematic flow of the study is demonstrated in Figure 1. Microarray result shows that 156 miRNAs were up- or down-regulated by at least a 2-fold change with statistical significance (
Selected 10 miRNA candidates were tested for validation assay. At Taqman RT-PCR result, hsa-miR-135b-5p (
Recent many studies have founded that epigenetic factors could intervene additional aspects of the gene–environment interaction in the development of cancer.12 There have been many studies which have concluded that miRNAs are involved in the pathogenesis of cancer. Especially for gastric cancer, many favorable outcomes have been published.13 Meanwhile,
Up to recently, the presumptive roles of miRNAs have been studied in gastric cancer. miRNAs in gastric cancer patients is usually dysregulated.7 Some kind of down-regulated miRNA was regarded to have tumor suppressive activity. And another kind of up-regulated miRNA was regarded to have carcinogenic property. miRNA was also founded in patient’s serum. Some researchers proposed that some kind of miRNA could be used as tumor marker to improve the diagnostic certainty and evaluation of prognosis. However, such results have been usually derived from the comparisons between gastric cancer versus non-cancer mucosal tissue without clear discrimination of
In the present study, we identified that 4 miRNAs (hsa-miR-145-5p, hsa-miR-135b-5p, hsa-miR-18a-5p, and hsa-miR- 196a-5p) were significantly changed. hsa-miR-145-5p was down-regulated in
Interestingly, hsa-miR-145-5p was decreased significantly in
There are many concerns about our FFPE samples used in present study. At result of microarray test, above one hundred miRNAs have statistical significance,10 which indicates the usefulness of FFPE sample for screening miRNA enough.21 We selected final 10 candidates for Taqman RT-PCR by the signal intensity and difference between cancer versus non-cancer. Compared with previous study, systematic approach using miRNA database was not performed at the present study. So, we could not get enough statistically meaningful miRNA result. Moreover, mean age of the patients in
In conclusion, 4 miRNAs (hsa-miR-145-5p, hsa-miR-135b-5p, hsa-miR-18a-5p, and hsa-miR-196a-5p) were significantly changed. miRNA expression of the gastric cancer in the present study implied that different but partially common gastric carcinogenic mechanisms according to
This work was supported by the Global Core Research Center (GCRC) grant (2011-0030001) from the National Research Foundation (NRF), Ministry of Education, Science and Technology (MEST), Republic of Korea.
Characteristics of the subjects used in the analyses.
Characteristic | miRNA microarray | TaqMan miRNA RT-PCR | ||||
---|---|---|---|---|---|---|
Hp− GC (n = 8) | Hp+ GC (n = 8) | Hp− cont (n = 27) | Hp+ cont (n = 26) | Hp− cancer (n = 27) | Hp+ cancer (n = 27) | |
Age (yr) | 69.3 ± 1.7 | 67.8 ± 3.4 | 54.2 ± 12.4 | 61.1 ± 8.0 | 64.7 ± 9.6 | 66.2 ± 8.5 |
Sex (male/female) | 6/2 | 5/3 | 16/11 | 15/11 | 21/6 | 17/10 |
Intestinal type histology | 8 | 8 | 27 | 27 |
Values are presented as mean ± SD or number only. miRNA, microRNA; Hp+,
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