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Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
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Jue Lie Kim1 , Sang Gyun Kim2 , Enerelt Natsagdorj2 , Hyunsoo Chung2 , Soo-Jeong Cho2
Correspondence to: Sang Gyun Kim
ORCID https://orcid.org/0000-0003-1799-9028
E-mail harley1333@hanmail.net
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.
Gut Liver 2023;17(5):741-752. https://doi.org/10.5009/gnl220301
Published online January 31, 2023, Published date September 15, 2023
Copyright © Gut and Liver.
Background/Aims: Altered DNA methylation is a key mechanism of epigenetic modification in gastric cancer (GC). This study aimed to evaluate the changes in epigenetic and genetic expression of multiple Rho GTPases in Helicobacter pylori-related gastric carcinogenesis by comparing H. pylori-positive GCs and negative controls.
Methods: The messenger RNA expression and methylation of Rho GTPases (RhoA, Rac1, DOCK180, ELMO1, and CDC42) were evaluated in H. pylori-negative (control) human gastric tissues and H. pylori-positive GCs by using real-time reverse transcription-polymerase chain reaction and the quantitative MethyLight assay, respectively. Changes in expression and methylation levels of the genes were also compared between H. pylori-eradicated and -persistent GCs at 1-year follow-up.
Results: In GCs, the methylation and expression levels of DOCK180 and ELMO1 were higher than in controls, while RhoA and Rac1 had lower levels than controls. CDC42 had the same expression pattern as DOCK180 and ELMO1 without DNA methylation. Although methylation levels of DOCK180 and ELMO1 had no difference between H. pylori-eradicated and -persistent GCs at the index endoscopic resection, those of H. pylori-persistent GCs increased and H. pylori-eradicated GCs decreased for 1 year. The expression levels of DOCK180, ELMO1, and CDC42 in H. pylori-persistent GCs were higher than those in H. pylori-eradicated GCs over 1 year, unlike those of RhoA and Rac1. The methylation levels at index and the degrees of change over time of RhoA and Rac1 had no difference between H. pylori-persistent and -eradicated GCs.
Conclusions: Epigenetic alterations of DOCK180 and ELMO1 are involved in H. pylori-related gastric carcinogenesis. This epigenetic field could be improved by H. pylori eradication.
Keywords: Helicobacter pylori, Rho GTPase, DNA methylation, Epigenetics, Stomach neoplasms
Though the incidence of gastric cancer (GC) is decreasing, GC still remains ranked the fifth for incidence of malignancy and the fourth leading cause of cancer death globally.1 East Asia has the highest incidence rate of GC.1 As GC has been detected early by nationwide cancer screening program especially in Korea2 and Japan,3 endoscopic resection (ER) of indicated early GC (EGC) has set an alternative method to surgery for preserving stomach function. However, ER of EGC has a relative high risk of occurrence of metachronous GC (MGC) in remnant stomach.4
Aberrant DNA methylation in cancer is divided into two categories: global DNA hypomethylation and regional hypermethylation.12 Global hypomethylation occurs at CpG repetitive sequences throughout genome in normal tissue which induces carcinogenesis by relating to genomic instability and abnormal chromosomal structures. Regional hypermethylation is found in promotor CpG islands in
Cancer cells develop during losing intercellular contact and progressing to invasion. In this regard, Rho GTPases regulate the microtubule cytoskeleton, leading to crucial roles in cell cycle, polarity, migration to affect initiation and progression of cancer.13-15 Most of the information offered about the function of Rho proteins and their regulators comes from the studies on the best-characterized members CDC42, Rac1, RhoA, ELMO1, and DOCK180.14,16 Especially, disturbance of Rho GTPases signaling in cancer was caused by alteration of their regulators.13 A recent study presented seven novel epigenetic markers including ELMO1 as one of the regulator. Its methylation level was associated with GC risk.12,17 A study about glioma reported that co-overexpression of ELMO1 and DOCK180 was related to Rac1 promoting cell migration and invasion.18
Meanwhile,
In this study, we investigated whether epigenetic fields related to Rho GTPases (CDC42, Rac1, and RhoA) and its regulators (ELMO1 and DOCK180) altered throughout
This study included 63 patients with
mRNAs were derived from gastric tissues using homogenizer and TRIzol Reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. Complementary DNA was synthesized from reverse transcription of 2 μg total RNAs and 1 μL of resulting complementary DNA was amplified in 20 μL 2x AMPIGENE qPCR Green Mix Hi-ROX (Enzo Life Sciences, Farmingdale, NY, USA) using StepOnePlusTM Real-Time PCR system (Thermo Fisher Scientific, Waltham, MA, USA). The human β-actin gene was used as an endogenous control and the relative expression levels of mRNAs were calculated by the comparative 2-ΔΔCt method as described previously.24-26 All samples were tested in duplicate.
DNA was taken from gastric mucosa using the QIAamp DNA Mini Kit (Dawin Biotech, Seoul, Korea) by the manufacturer’s instructions. Unmethylated cytosine of 200 ng of extracted DNA switched to uracil as performing bisulfite modification using the EZ DNA Methylation Kit (Zymo Research, Orange, CA, USA).
The methylation status of the bisulfite-modified DNA was quantified by real-time polymerase chain reaction-based MethyLight assay as previously described.27,28 MethyLight includes methylation-specific primers combined with methylation-specific fluorescent probes followed by highly sensitive detection and quantification of methylation.28 Pairs of primers and probes (Table 1) were designed by using the software, Beacon Designer (PREMIER Biosoft International, Palo Alto, CA, USA). The level of DNA methylation was assessed by a percentage of methylated reference (PMR), which is calculated as PMR=100×[(methylated reaction/Alu)sample/(methylated reaction/Alu)CpG methyltransferase]. Each MethyLight for all samples was conducted in triplicate.
Table 1 The Individual Primers/Probes for the MethyLight Assay and Corresponding Primers for RT-PCR Assay
Gene | Primer/probe | Sequence (5’→23’) | Product length, bp |
---|---|---|---|
Individual primers/probes for MethyLight assay | |||
Forward primer | TTTCGAATTTACGAGTTGCGTCG | 92 | |
Reverse primer | AAAACTAAAACGAATCAAAACGATACCT | ||
Probe | 6FAM-TACCCTAACTCCGCCCGCCTATCGC-BHQ1 | ||
Forward primer | TACGGCGTGAGCGTTAGTTTC | 106 | |
Reverse primer | TCCCCTTCCTCTATCCCAATACG | ||
Probe | 6FAM-CGCTCCGCACCCGAACACCCC-BHQ1 | ||
Forward primer | CGACGACGTAAATAACTCTACCTCT | 110 | |
Reverse primer | TAGTCGGCGGTGTAGTAGTCG | ||
Probe | 6FAM-ATACCCATCCTCGCCCGCTCCCG-BHQ1 | ||
Forward primer | GGATGATAGACGTGAGTTATTGCG | 134 | |
Reverse primer | AAACGATAATTTCAATAAACCCAAATAACG | ||
Probe | 6FAM-ACTCCAACCTAAAATCAAAACGAAACCCCG-BHQ1 | ||
Forward primer | TAGTAGTAGTAGTTTGAAGAGGGTTACG | 140 | |
Reverse primer | AACCAATCATAACGAAATCCTAATCTAAAC | ||
Probe | 6FAM-AACTCTACCGACCACGATACTAAACGCGC-BHQ1 | ||
Corresponding primers for quantitative RT-PCR assay | |||
Forward primer | GATGGTGCTGTTGGTAAA | 195 | |
Reverse primer | TAACTCAGCGGTCGTAAT | ||
Forward primer | TCAGACCATGAAGTTCAACC | 223 | |
Reverse primer | ATTCACCCAATTAAAACCAG | ||
Forward primer | CCGGATTGTGCTTGAGAACA | 121 | |
Reverse primer | CTCACTAGGCAACTCGCCCA | ||
Forward primer | TTGCCAAAATACCTTCTGAACT | 155 | |
Reverse primer | TGCTTTACGCATCTGAGAACTA | ||
Forward primer | CATCCGGAAGAAACTGGT | 168 | |
Reverse primer | TCCCACAAAGCCAACTC | ||
Forward primer | TTCGAGCAAGAGATGGCCAC | 203 | |
Reverse primer | CGGATGTCCACGTCACACTT |
RT-PCR, real-time reverse transcription-polymerase chain reaction; bp, base pair.
The annealing melting temperature of each reaction was 59℃.
The t-test was used for the overall comparison of continuous variables of the three groups (
The patients with
Table 2 Baseline Clinicopathological Characteristics of Subjects
Characteristic | Hp-positive GCs (n=63) | Hp-negative controls (n=15) | p-value† | Hp-persistent GCs (n=34) | Hp-eradicated GCs (n=29) | p-value† |
---|---|---|---|---|---|---|
Age, yr | 60.5 (54.5–67.5) | 53.6 (45.0–61.0) | 0.006 | 60.5 (54.5–66.5) | 60.6 (54.0–70.0) | >0.05 |
Male sex | 50 (79.4) | 6 (40.0) | 0.002 | 24 (70.6) | 26 (89.7) | 0.062 |
Mucosal atrophy* | 0.003 | >0.05 | ||||
Absent to mild | 29 (46.0) | 14 (93.3) | 17 (50.0) | 12 (41.4) | ||
Moderate to severe | 23 (36.5) | 0 | 11 (32.4) | 12 (41.4) | ||
Intestinal metaplasia | <0.001 | >0.05 | ||||
Absent to mild | 23 (36.5) | 15 (100) | 10 (29.4) | 13 (44.8) | ||
Moderate to severe | 40 (63.5) | 0 | 24 (70.6) | 16 (55.2) | ||
Neutrophil | <0.001 | >0.05 | ||||
Absent to mild | 7 (11.1) | 15 (100) | 5 (14.7) | 2 (6.9) | ||
Moderate to severe | 56 (88.9) | 0 | 29 (85.3) | 27 (93.1) | ||
Monocyte | <0.001 | >0.05 | ||||
Absent to mild | 4 (6.3) | 14 (93.3) | 3 (8.8) | 1 (3.4) | ||
Moderate to severe | 59 (93.7) | 1 (6.7) | 31 (91.2) | 28 (96.6) |
Data are presented as median (interquartile range) or number (%).
Hp,
*Exception where pathologic evaluation is inapplicable or medical record is absent; †t-test for continuous variable, Pearson chi-square test or Fisher exact test for the categorical variables.
In 63 patients with
Table 3 Clinicopathological Difference Over Time between Hp-Eradicated and -Persistent Groups
Variable | Baseline | 1-yr follow-up | p-value† | |||
---|---|---|---|---|---|---|
Hp-eradicated GCs (n=29) | Hp-persistent GCs (n=34) | Hp-eradicated GCs (n=29) | Hp-persistent GCs (n=34) | |||
Age, yr | 60.6 (54.0–70.0) | 60.5 (54.5–66.5) | ||||
Sex | ||||||
Male | 26 (89.7) | 24 (70.6) | ||||
Female | 3 (10.3) | 10 (29.4) | ||||
Mucosal atrophy* | 0.546 | |||||
Absent to mild | 12 (41.4) | 17 (50.0) | 12 (41.4) | 14 (41.2) | ||
Moderate to severe | 12 (41.4) | 11 (32.4) | 9 (31.0) | 13 (38.2) | ||
Intestinal metaplasia* | 0.082 | |||||
Absent to mild | 13 (44.8) | 10 (29.4) | 12 (41.4) | 9 (26.5) | ||
Moderate to severe | 16 (55.2) | 24 (70.6) | 16 (55.2) | 25 (73.5) | ||
Neutrophil* | <0.001† | |||||
Absent to mild | 2 (6.9) | 5 (14.7) | 28 (96.6) | 5 (14.7) | ||
Moderate to severe | 27 (93.1) | 29 (85.3) | 0 | 29 (85.3) | ||
Monocyte* | <0.001† | |||||
Absent to mild | 1 (3.4) | 3 (8.8) | 19 (65.5) | 1 (2.9) | ||
Moderate to severe | 28 (96.6) | 31 (91.2) | 9 (31.0) | 33 (97.1) |
Data are presented as median (interquartile range) or number (%).
Hp,
*Exception where pathologic evaluation is inapplicable or medical record is absent; †Generalized estimating equation.
We measured the levels of methylation in Rho GTPases and its regulators in normal or surrounding gastric tissue at index ESD. CDC42 as one of Rho proteins had no DNA methylation. Each DNA methylation level of two Rho proteins (RhoA and Rac1) in
Similar to their methylation pattern, quantitative real-time reverse transcription-polymerase chain reaction of RhoA and Rac1 revealed that the expression level of
Ranked analysis of covariance model was used to examine the differences in the level of methylation and mRNA expression after correcting baseline imbalances of sex and age. It showed that the differences of methylation and expression levels between both GCs and
Table 4 Differences in the DNA Methylation and Expression Levels of mRNAs between Groups after Adjustment of Covariates
Groups after adjustment of covariates | DNA methylation | mRNA expression | |||||
---|---|---|---|---|---|---|---|
df | F | p-value | df | F | p | ||
RhoA | |||||||
Age | 1 | 0.013 | 0.908 | 1 | 0.049 | 0.826 | |
Sex | 1 | 1.850 | 0.178 | 1 | 1.726 | 0.193 | |
Group | 1 | 1.360 | 0.247 | 1 | 3,423.5 | <0.001* | |
Rac1 | |||||||
Age | 1 | 0.033 | 0.856 | 1 | 0.007 | 0.932 | |
Sex | 1 | 0.781 | 0.380 | 1 | 3.732 | 0.057 | |
Group | 1 | 8.050 | 0.006* | 1 | 0.355 | 0.553 | |
DOCK180 | |||||||
Age | 1 | 0.015 | 0.902 | 1 | 0.692 | 0.408 | |
Sex | 1 | 0.232 | 0.631 | 1 | 1.026 | 0.314 | |
Group | 1 | 4.345 | 0.041* | 1 | 11.082 | 0.001* | |
ELMO1 | |||||||
Age | 1 | 1.852 | 0.178 | 1 | 0.014 | 0.907 | |
Sex | 1 | 1.521 | 0.221 | 1 | 0.804 | 0.373 | |
Group | 1 | 4.857 | 0.031* | 1 | 57.282 | <0.001* | |
CDC42 | |||||||
Age | 1 | 0.030 | 0.863 | ||||
Sex | 1 | 0.852 | 0.359 | ||||
Group | 1 | 117.151 | <0.001* |
mRNA, messenger RNA; df, degree of freedom.
*p<0.05 using analysis of covariance.
DNA methylation and expression levels in noncancerous gastric mucosa of
Conversely, DOCK180 and ELMO1 as regulators had other patterns with two Rho proteins. Though methylation levels at index ESD had no difference between
Whether the degree of change over time by linear mixed model was statistically significant or not (p=0.034, p>0.05, respectively) (Fig. 2C and D), the level of expression in
The subgroup analysis was performed to confirm whether the decrease in methylation level of two regulators after
CDC42 had a pattern similar to that of two regulators in mRNA expression. The level of its expression in
We performed the subgroup analysis for the difference of methylation level according to the degree of atrophic gastritis or intestinal metaplasia in
This study showed that the degree of inflammatory cells decreased significantly after 1 year of
There were few studies on the epigenetic field of noncancerous gastric mucosa of GC patients compared with normal gastric mucosa of controls. This study could suggest the risk of MGC occurrence after ER of index cancer and the meaning of gastric atrophy or intestinal metaplasia as a precancerous lesion. Predicting epigenetic-field-defect as a risk developing GC in residual stomach has an important meaning in that ER is one standard treatment for EGC. Although precancerous lesions like atrophic gastritis and intestinal metaplasia had no change in severity after
In present study, DNA methylation level of two Rho proteins (RhoA and Rac1) in surrounding mucosa in
When
When Rho GTPases regulate several biological processes relevant to cancer including cell cycle control, epithelial cell polarity, cell migration, cell survival and angiogenesis, the activation state of Rho, Rac1, and CDC42 depends on balance with their regulators.34 Besides, ELMO1 and DOCK180 have a synergistic role of carcinogenesis with interacting each other.18 For instance, ELMO1 interacts with DOCK180 by inhibiting ubiquitylation of DOCK180.35 It could be noted that regulators played an important role in a diverse Rho GTPase-related mechanism.15 The present results had the important meaning in that the methylation and expression pattern of these regulators could be explained by the concept of epigenetic-field-defect. Epigenetic field cancerization of DOCK180 and ELMO1 could be used for methylation markers in risk stratification of GC.36
The present study has several merits. First, this is the first study to evaluate DNA methylation and corresponding expression of Rho GTPases and its regulators in nonneoplastic gastric mucosa of
This study has several limitations. First, the number of subjects included in the analysis was small. However, this number was enough to get statistical significance. Second, as we could not include GC tissue, we did not analyze the difference between neoplastic and nonneoplastic gastric tissue. Third, there was a lack of long-term follow-up data. It could be possible to analyze more detailed effects about atrophic gastritis and intestinal metaplasia and MGC occurrence in
In conclusion, we demonstrated that aberrant DNA methylation of DOCK180 and ELMO1 was associated with
This work was supported by grant number (03-2019-0060) from the SNUH Research Fund and a grant from the Liver Research Institute, Seoul National University College of Medicine.
Data was partly supported by D&P Biotechnology in Kyungpook National University Chilgok Hospital (Daegu, Republic of Korea) and Seoul National University Cancer Research Institute (Seoul, Republic of Korea).
No potential conflict of interest relevant to this article was reported.
Study concept and design: all authors. Data acquisition: J.L.K., E.N., S.G.K. Data analysis and interpretation: J.L.K. Drafting of the manuscript: J.L.K. Critical revision of the manuscript for important intellectual content: all authors. Statistical analysis: J.L.K. Obtained funding: S.G.K. Administrative, technical, or material support; study supervision: S.G.K. Approval of final manuscript: all authors.
Gut and Liver 2023; 17(5): 741-752
Published online September 15, 2023 https://doi.org/10.5009/gnl220301
Copyright © Gut and Liver.
Jue Lie Kim1 , Sang Gyun Kim2 , Enerelt Natsagdorj2 , Hyunsoo Chung2 , Soo-Jeong Cho2
1Department of Internal Medicine, Health Promotion Center, Seoul National University Hospital, and 2Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
Correspondence to:Sang Gyun Kim
ORCID https://orcid.org/0000-0003-1799-9028
E-mail harley1333@hanmail.net
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.
Background/Aims: Altered DNA methylation is a key mechanism of epigenetic modification in gastric cancer (GC). This study aimed to evaluate the changes in epigenetic and genetic expression of multiple Rho GTPases in Helicobacter pylori-related gastric carcinogenesis by comparing H. pylori-positive GCs and negative controls.
Methods: The messenger RNA expression and methylation of Rho GTPases (RhoA, Rac1, DOCK180, ELMO1, and CDC42) were evaluated in H. pylori-negative (control) human gastric tissues and H. pylori-positive GCs by using real-time reverse transcription-polymerase chain reaction and the quantitative MethyLight assay, respectively. Changes in expression and methylation levels of the genes were also compared between H. pylori-eradicated and -persistent GCs at 1-year follow-up.
Results: In GCs, the methylation and expression levels of DOCK180 and ELMO1 were higher than in controls, while RhoA and Rac1 had lower levels than controls. CDC42 had the same expression pattern as DOCK180 and ELMO1 without DNA methylation. Although methylation levels of DOCK180 and ELMO1 had no difference between H. pylori-eradicated and -persistent GCs at the index endoscopic resection, those of H. pylori-persistent GCs increased and H. pylori-eradicated GCs decreased for 1 year. The expression levels of DOCK180, ELMO1, and CDC42 in H. pylori-persistent GCs were higher than those in H. pylori-eradicated GCs over 1 year, unlike those of RhoA and Rac1. The methylation levels at index and the degrees of change over time of RhoA and Rac1 had no difference between H. pylori-persistent and -eradicated GCs.
Conclusions: Epigenetic alterations of DOCK180 and ELMO1 are involved in H. pylori-related gastric carcinogenesis. This epigenetic field could be improved by H. pylori eradication.
Keywords: Helicobacter pylori, Rho GTPase, DNA methylation, Epigenetics, Stomach neoplasms
Though the incidence of gastric cancer (GC) is decreasing, GC still remains ranked the fifth for incidence of malignancy and the fourth leading cause of cancer death globally.1 East Asia has the highest incidence rate of GC.1 As GC has been detected early by nationwide cancer screening program especially in Korea2 and Japan,3 endoscopic resection (ER) of indicated early GC (EGC) has set an alternative method to surgery for preserving stomach function. However, ER of EGC has a relative high risk of occurrence of metachronous GC (MGC) in remnant stomach.4
Aberrant DNA methylation in cancer is divided into two categories: global DNA hypomethylation and regional hypermethylation.12 Global hypomethylation occurs at CpG repetitive sequences throughout genome in normal tissue which induces carcinogenesis by relating to genomic instability and abnormal chromosomal structures. Regional hypermethylation is found in promotor CpG islands in
Cancer cells develop during losing intercellular contact and progressing to invasion. In this regard, Rho GTPases regulate the microtubule cytoskeleton, leading to crucial roles in cell cycle, polarity, migration to affect initiation and progression of cancer.13-15 Most of the information offered about the function of Rho proteins and their regulators comes from the studies on the best-characterized members CDC42, Rac1, RhoA, ELMO1, and DOCK180.14,16 Especially, disturbance of Rho GTPases signaling in cancer was caused by alteration of their regulators.13 A recent study presented seven novel epigenetic markers including ELMO1 as one of the regulator. Its methylation level was associated with GC risk.12,17 A study about glioma reported that co-overexpression of ELMO1 and DOCK180 was related to Rac1 promoting cell migration and invasion.18
Meanwhile,
In this study, we investigated whether epigenetic fields related to Rho GTPases (CDC42, Rac1, and RhoA) and its regulators (ELMO1 and DOCK180) altered throughout
This study included 63 patients with
mRNAs were derived from gastric tissues using homogenizer and TRIzol Reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. Complementary DNA was synthesized from reverse transcription of 2 μg total RNAs and 1 μL of resulting complementary DNA was amplified in 20 μL 2x AMPIGENE qPCR Green Mix Hi-ROX (Enzo Life Sciences, Farmingdale, NY, USA) using StepOnePlusTM Real-Time PCR system (Thermo Fisher Scientific, Waltham, MA, USA). The human β-actin gene was used as an endogenous control and the relative expression levels of mRNAs were calculated by the comparative 2-ΔΔCt method as described previously.24-26 All samples were tested in duplicate.
DNA was taken from gastric mucosa using the QIAamp DNA Mini Kit (Dawin Biotech, Seoul, Korea) by the manufacturer’s instructions. Unmethylated cytosine of 200 ng of extracted DNA switched to uracil as performing bisulfite modification using the EZ DNA Methylation Kit (Zymo Research, Orange, CA, USA).
The methylation status of the bisulfite-modified DNA was quantified by real-time polymerase chain reaction-based MethyLight assay as previously described.27,28 MethyLight includes methylation-specific primers combined with methylation-specific fluorescent probes followed by highly sensitive detection and quantification of methylation.28 Pairs of primers and probes (Table 1) were designed by using the software, Beacon Designer (PREMIER Biosoft International, Palo Alto, CA, USA). The level of DNA methylation was assessed by a percentage of methylated reference (PMR), which is calculated as PMR=100×[(methylated reaction/Alu)sample/(methylated reaction/Alu)CpG methyltransferase]. Each MethyLight for all samples was conducted in triplicate.
Table 1 . The Individual Primers/Probes for the MethyLight Assay and Corresponding Primers for RT-PCR Assay.
Gene | Primer/probe | Sequence (5’→23’) | Product length, bp |
---|---|---|---|
Individual primers/probes for MethyLight assay | |||
Forward primer | TTTCGAATTTACGAGTTGCGTCG | 92 | |
Reverse primer | AAAACTAAAACGAATCAAAACGATACCT | ||
Probe | 6FAM-TACCCTAACTCCGCCCGCCTATCGC-BHQ1 | ||
Forward primer | TACGGCGTGAGCGTTAGTTTC | 106 | |
Reverse primer | TCCCCTTCCTCTATCCCAATACG | ||
Probe | 6FAM-CGCTCCGCACCCGAACACCCC-BHQ1 | ||
Forward primer | CGACGACGTAAATAACTCTACCTCT | 110 | |
Reverse primer | TAGTCGGCGGTGTAGTAGTCG | ||
Probe | 6FAM-ATACCCATCCTCGCCCGCTCCCG-BHQ1 | ||
Forward primer | GGATGATAGACGTGAGTTATTGCG | 134 | |
Reverse primer | AAACGATAATTTCAATAAACCCAAATAACG | ||
Probe | 6FAM-ACTCCAACCTAAAATCAAAACGAAACCCCG-BHQ1 | ||
Forward primer | TAGTAGTAGTAGTTTGAAGAGGGTTACG | 140 | |
Reverse primer | AACCAATCATAACGAAATCCTAATCTAAAC | ||
Probe | 6FAM-AACTCTACCGACCACGATACTAAACGCGC-BHQ1 | ||
Corresponding primers for quantitative RT-PCR assay | |||
Forward primer | GATGGTGCTGTTGGTAAA | 195 | |
Reverse primer | TAACTCAGCGGTCGTAAT | ||
Forward primer | TCAGACCATGAAGTTCAACC | 223 | |
Reverse primer | ATTCACCCAATTAAAACCAG | ||
Forward primer | CCGGATTGTGCTTGAGAACA | 121 | |
Reverse primer | CTCACTAGGCAACTCGCCCA | ||
Forward primer | TTGCCAAAATACCTTCTGAACT | 155 | |
Reverse primer | TGCTTTACGCATCTGAGAACTA | ||
Forward primer | CATCCGGAAGAAACTGGT | 168 | |
Reverse primer | TCCCACAAAGCCAACTC | ||
Forward primer | TTCGAGCAAGAGATGGCCAC | 203 | |
Reverse primer | CGGATGTCCACGTCACACTT |
RT-PCR, real-time reverse transcription-polymerase chain reaction; bp, base pair..
The annealing melting temperature of each reaction was 59℃..
The t-test was used for the overall comparison of continuous variables of the three groups (
The patients with
Table 2 . Baseline Clinicopathological Characteristics of Subjects.
Characteristic | Hp-positive GCs (n=63) | Hp-negative controls (n=15) | p-value† | Hp-persistent GCs (n=34) | Hp-eradicated GCs (n=29) | p-value† |
---|---|---|---|---|---|---|
Age, yr | 60.5 (54.5–67.5) | 53.6 (45.0–61.0) | 0.006 | 60.5 (54.5–66.5) | 60.6 (54.0–70.0) | >0.05 |
Male sex | 50 (79.4) | 6 (40.0) | 0.002 | 24 (70.6) | 26 (89.7) | 0.062 |
Mucosal atrophy* | 0.003 | >0.05 | ||||
Absent to mild | 29 (46.0) | 14 (93.3) | 17 (50.0) | 12 (41.4) | ||
Moderate to severe | 23 (36.5) | 0 | 11 (32.4) | 12 (41.4) | ||
Intestinal metaplasia | <0.001 | >0.05 | ||||
Absent to mild | 23 (36.5) | 15 (100) | 10 (29.4) | 13 (44.8) | ||
Moderate to severe | 40 (63.5) | 0 | 24 (70.6) | 16 (55.2) | ||
Neutrophil | <0.001 | >0.05 | ||||
Absent to mild | 7 (11.1) | 15 (100) | 5 (14.7) | 2 (6.9) | ||
Moderate to severe | 56 (88.9) | 0 | 29 (85.3) | 27 (93.1) | ||
Monocyte | <0.001 | >0.05 | ||||
Absent to mild | 4 (6.3) | 14 (93.3) | 3 (8.8) | 1 (3.4) | ||
Moderate to severe | 59 (93.7) | 1 (6.7) | 31 (91.2) | 28 (96.6) |
Data are presented as median (interquartile range) or number (%)..
Hp,
*Exception where pathologic evaluation is inapplicable or medical record is absent; †t-test for continuous variable, Pearson chi-square test or Fisher exact test for the categorical variables..
In 63 patients with
Table 3 . Clinicopathological Difference Over Time between Hp-Eradicated and -Persistent Groups.
Variable | Baseline | 1-yr follow-up | p-value† | |||
---|---|---|---|---|---|---|
Hp-eradicated GCs (n=29) | Hp-persistent GCs (n=34) | Hp-eradicated GCs (n=29) | Hp-persistent GCs (n=34) | |||
Age, yr | 60.6 (54.0–70.0) | 60.5 (54.5–66.5) | ||||
Sex | ||||||
Male | 26 (89.7) | 24 (70.6) | ||||
Female | 3 (10.3) | 10 (29.4) | ||||
Mucosal atrophy* | 0.546 | |||||
Absent to mild | 12 (41.4) | 17 (50.0) | 12 (41.4) | 14 (41.2) | ||
Moderate to severe | 12 (41.4) | 11 (32.4) | 9 (31.0) | 13 (38.2) | ||
Intestinal metaplasia* | 0.082 | |||||
Absent to mild | 13 (44.8) | 10 (29.4) | 12 (41.4) | 9 (26.5) | ||
Moderate to severe | 16 (55.2) | 24 (70.6) | 16 (55.2) | 25 (73.5) | ||
Neutrophil* | <0.001† | |||||
Absent to mild | 2 (6.9) | 5 (14.7) | 28 (96.6) | 5 (14.7) | ||
Moderate to severe | 27 (93.1) | 29 (85.3) | 0 | 29 (85.3) | ||
Monocyte* | <0.001† | |||||
Absent to mild | 1 (3.4) | 3 (8.8) | 19 (65.5) | 1 (2.9) | ||
Moderate to severe | 28 (96.6) | 31 (91.2) | 9 (31.0) | 33 (97.1) |
Data are presented as median (interquartile range) or number (%)..
Hp,
*Exception where pathologic evaluation is inapplicable or medical record is absent; †Generalized estimating equation..
We measured the levels of methylation in Rho GTPases and its regulators in normal or surrounding gastric tissue at index ESD. CDC42 as one of Rho proteins had no DNA methylation. Each DNA methylation level of two Rho proteins (RhoA and Rac1) in
Similar to their methylation pattern, quantitative real-time reverse transcription-polymerase chain reaction of RhoA and Rac1 revealed that the expression level of
Ranked analysis of covariance model was used to examine the differences in the level of methylation and mRNA expression after correcting baseline imbalances of sex and age. It showed that the differences of methylation and expression levels between both GCs and
Table 4 . Differences in the DNA Methylation and Expression Levels of mRNAs between Groups after Adjustment of Covariates.
Groups after adjustment of covariates | DNA methylation | mRNA expression | |||||
---|---|---|---|---|---|---|---|
df | F | p-value | df | F | p | ||
RhoA | |||||||
Age | 1 | 0.013 | 0.908 | 1 | 0.049 | 0.826 | |
Sex | 1 | 1.850 | 0.178 | 1 | 1.726 | 0.193 | |
Group | 1 | 1.360 | 0.247 | 1 | 3,423.5 | <0.001* | |
Rac1 | |||||||
Age | 1 | 0.033 | 0.856 | 1 | 0.007 | 0.932 | |
Sex | 1 | 0.781 | 0.380 | 1 | 3.732 | 0.057 | |
Group | 1 | 8.050 | 0.006* | 1 | 0.355 | 0.553 | |
DOCK180 | |||||||
Age | 1 | 0.015 | 0.902 | 1 | 0.692 | 0.408 | |
Sex | 1 | 0.232 | 0.631 | 1 | 1.026 | 0.314 | |
Group | 1 | 4.345 | 0.041* | 1 | 11.082 | 0.001* | |
ELMO1 | |||||||
Age | 1 | 1.852 | 0.178 | 1 | 0.014 | 0.907 | |
Sex | 1 | 1.521 | 0.221 | 1 | 0.804 | 0.373 | |
Group | 1 | 4.857 | 0.031* | 1 | 57.282 | <0.001* | |
CDC42 | |||||||
Age | 1 | 0.030 | 0.863 | ||||
Sex | 1 | 0.852 | 0.359 | ||||
Group | 1 | 117.151 | <0.001* |
mRNA, messenger RNA; df, degree of freedom..
*p<0.05 using analysis of covariance..
DNA methylation and expression levels in noncancerous gastric mucosa of
Conversely, DOCK180 and ELMO1 as regulators had other patterns with two Rho proteins. Though methylation levels at index ESD had no difference between
Whether the degree of change over time by linear mixed model was statistically significant or not (p=0.034, p>0.05, respectively) (Fig. 2C and D), the level of expression in
The subgroup analysis was performed to confirm whether the decrease in methylation level of two regulators after
CDC42 had a pattern similar to that of two regulators in mRNA expression. The level of its expression in
We performed the subgroup analysis for the difference of methylation level according to the degree of atrophic gastritis or intestinal metaplasia in
This study showed that the degree of inflammatory cells decreased significantly after 1 year of
There were few studies on the epigenetic field of noncancerous gastric mucosa of GC patients compared with normal gastric mucosa of controls. This study could suggest the risk of MGC occurrence after ER of index cancer and the meaning of gastric atrophy or intestinal metaplasia as a precancerous lesion. Predicting epigenetic-field-defect as a risk developing GC in residual stomach has an important meaning in that ER is one standard treatment for EGC. Although precancerous lesions like atrophic gastritis and intestinal metaplasia had no change in severity after
In present study, DNA methylation level of two Rho proteins (RhoA and Rac1) in surrounding mucosa in
When
When Rho GTPases regulate several biological processes relevant to cancer including cell cycle control, epithelial cell polarity, cell migration, cell survival and angiogenesis, the activation state of Rho, Rac1, and CDC42 depends on balance with their regulators.34 Besides, ELMO1 and DOCK180 have a synergistic role of carcinogenesis with interacting each other.18 For instance, ELMO1 interacts with DOCK180 by inhibiting ubiquitylation of DOCK180.35 It could be noted that regulators played an important role in a diverse Rho GTPase-related mechanism.15 The present results had the important meaning in that the methylation and expression pattern of these regulators could be explained by the concept of epigenetic-field-defect. Epigenetic field cancerization of DOCK180 and ELMO1 could be used for methylation markers in risk stratification of GC.36
The present study has several merits. First, this is the first study to evaluate DNA methylation and corresponding expression of Rho GTPases and its regulators in nonneoplastic gastric mucosa of
This study has several limitations. First, the number of subjects included in the analysis was small. However, this number was enough to get statistical significance. Second, as we could not include GC tissue, we did not analyze the difference between neoplastic and nonneoplastic gastric tissue. Third, there was a lack of long-term follow-up data. It could be possible to analyze more detailed effects about atrophic gastritis and intestinal metaplasia and MGC occurrence in
In conclusion, we demonstrated that aberrant DNA methylation of DOCK180 and ELMO1 was associated with
This work was supported by grant number (03-2019-0060) from the SNUH Research Fund and a grant from the Liver Research Institute, Seoul National University College of Medicine.
Data was partly supported by D&P Biotechnology in Kyungpook National University Chilgok Hospital (Daegu, Republic of Korea) and Seoul National University Cancer Research Institute (Seoul, Republic of Korea).
No potential conflict of interest relevant to this article was reported.
Study concept and design: all authors. Data acquisition: J.L.K., E.N., S.G.K. Data analysis and interpretation: J.L.K. Drafting of the manuscript: J.L.K. Critical revision of the manuscript for important intellectual content: all authors. Statistical analysis: J.L.K. Obtained funding: S.G.K. Administrative, technical, or material support; study supervision: S.G.K. Approval of final manuscript: all authors.
Table 1 The Individual Primers/Probes for the MethyLight Assay and Corresponding Primers for RT-PCR Assay
Gene | Primer/probe | Sequence (5’→23’) | Product length, bp |
---|---|---|---|
Individual primers/probes for MethyLight assay | |||
Forward primer | TTTCGAATTTACGAGTTGCGTCG | 92 | |
Reverse primer | AAAACTAAAACGAATCAAAACGATACCT | ||
Probe | 6FAM-TACCCTAACTCCGCCCGCCTATCGC-BHQ1 | ||
Forward primer | TACGGCGTGAGCGTTAGTTTC | 106 | |
Reverse primer | TCCCCTTCCTCTATCCCAATACG | ||
Probe | 6FAM-CGCTCCGCACCCGAACACCCC-BHQ1 | ||
Forward primer | CGACGACGTAAATAACTCTACCTCT | 110 | |
Reverse primer | TAGTCGGCGGTGTAGTAGTCG | ||
Probe | 6FAM-ATACCCATCCTCGCCCGCTCCCG-BHQ1 | ||
Forward primer | GGATGATAGACGTGAGTTATTGCG | 134 | |
Reverse primer | AAACGATAATTTCAATAAACCCAAATAACG | ||
Probe | 6FAM-ACTCCAACCTAAAATCAAAACGAAACCCCG-BHQ1 | ||
Forward primer | TAGTAGTAGTAGTTTGAAGAGGGTTACG | 140 | |
Reverse primer | AACCAATCATAACGAAATCCTAATCTAAAC | ||
Probe | 6FAM-AACTCTACCGACCACGATACTAAACGCGC-BHQ1 | ||
Corresponding primers for quantitative RT-PCR assay | |||
Forward primer | GATGGTGCTGTTGGTAAA | 195 | |
Reverse primer | TAACTCAGCGGTCGTAAT | ||
Forward primer | TCAGACCATGAAGTTCAACC | 223 | |
Reverse primer | ATTCACCCAATTAAAACCAG | ||
Forward primer | CCGGATTGTGCTTGAGAACA | 121 | |
Reverse primer | CTCACTAGGCAACTCGCCCA | ||
Forward primer | TTGCCAAAATACCTTCTGAACT | 155 | |
Reverse primer | TGCTTTACGCATCTGAGAACTA | ||
Forward primer | CATCCGGAAGAAACTGGT | 168 | |
Reverse primer | TCCCACAAAGCCAACTC | ||
Forward primer | TTCGAGCAAGAGATGGCCAC | 203 | |
Reverse primer | CGGATGTCCACGTCACACTT |
RT-PCR, real-time reverse transcription-polymerase chain reaction; bp, base pair.
The annealing melting temperature of each reaction was 59℃.
Table 2 Baseline Clinicopathological Characteristics of Subjects
Characteristic | Hp-positive GCs (n=63) | Hp-negative controls (n=15) | p-value† | Hp-persistent GCs (n=34) | Hp-eradicated GCs (n=29) | p-value† |
---|---|---|---|---|---|---|
Age, yr | 60.5 (54.5–67.5) | 53.6 (45.0–61.0) | 0.006 | 60.5 (54.5–66.5) | 60.6 (54.0–70.0) | >0.05 |
Male sex | 50 (79.4) | 6 (40.0) | 0.002 | 24 (70.6) | 26 (89.7) | 0.062 |
Mucosal atrophy* | 0.003 | >0.05 | ||||
Absent to mild | 29 (46.0) | 14 (93.3) | 17 (50.0) | 12 (41.4) | ||
Moderate to severe | 23 (36.5) | 0 | 11 (32.4) | 12 (41.4) | ||
Intestinal metaplasia | <0.001 | >0.05 | ||||
Absent to mild | 23 (36.5) | 15 (100) | 10 (29.4) | 13 (44.8) | ||
Moderate to severe | 40 (63.5) | 0 | 24 (70.6) | 16 (55.2) | ||
Neutrophil | <0.001 | >0.05 | ||||
Absent to mild | 7 (11.1) | 15 (100) | 5 (14.7) | 2 (6.9) | ||
Moderate to severe | 56 (88.9) | 0 | 29 (85.3) | 27 (93.1) | ||
Monocyte | <0.001 | >0.05 | ||||
Absent to mild | 4 (6.3) | 14 (93.3) | 3 (8.8) | 1 (3.4) | ||
Moderate to severe | 59 (93.7) | 1 (6.7) | 31 (91.2) | 28 (96.6) |
Data are presented as median (interquartile range) or number (%).
Hp,
*Exception where pathologic evaluation is inapplicable or medical record is absent; †t-test for continuous variable, Pearson chi-square test or Fisher exact test for the categorical variables.
Table 3 Clinicopathological Difference Over Time between Hp-Eradicated and -Persistent Groups
Variable | Baseline | 1-yr follow-up | p-value† | |||
---|---|---|---|---|---|---|
Hp-eradicated GCs (n=29) | Hp-persistent GCs (n=34) | Hp-eradicated GCs (n=29) | Hp-persistent GCs (n=34) | |||
Age, yr | 60.6 (54.0–70.0) | 60.5 (54.5–66.5) | ||||
Sex | ||||||
Male | 26 (89.7) | 24 (70.6) | ||||
Female | 3 (10.3) | 10 (29.4) | ||||
Mucosal atrophy* | 0.546 | |||||
Absent to mild | 12 (41.4) | 17 (50.0) | 12 (41.4) | 14 (41.2) | ||
Moderate to severe | 12 (41.4) | 11 (32.4) | 9 (31.0) | 13 (38.2) | ||
Intestinal metaplasia* | 0.082 | |||||
Absent to mild | 13 (44.8) | 10 (29.4) | 12 (41.4) | 9 (26.5) | ||
Moderate to severe | 16 (55.2) | 24 (70.6) | 16 (55.2) | 25 (73.5) | ||
Neutrophil* | <0.001† | |||||
Absent to mild | 2 (6.9) | 5 (14.7) | 28 (96.6) | 5 (14.7) | ||
Moderate to severe | 27 (93.1) | 29 (85.3) | 0 | 29 (85.3) | ||
Monocyte* | <0.001† | |||||
Absent to mild | 1 (3.4) | 3 (8.8) | 19 (65.5) | 1 (2.9) | ||
Moderate to severe | 28 (96.6) | 31 (91.2) | 9 (31.0) | 33 (97.1) |
Data are presented as median (interquartile range) or number (%).
Hp,
*Exception where pathologic evaluation is inapplicable or medical record is absent; †Generalized estimating equation.
Table 4 Differences in the DNA Methylation and Expression Levels of mRNAs between Groups after Adjustment of Covariates
Groups after adjustment of covariates | DNA methylation | mRNA expression | |||||
---|---|---|---|---|---|---|---|
df | F | p-value | df | F | p | ||
RhoA | |||||||
Age | 1 | 0.013 | 0.908 | 1 | 0.049 | 0.826 | |
Sex | 1 | 1.850 | 0.178 | 1 | 1.726 | 0.193 | |
Group | 1 | 1.360 | 0.247 | 1 | 3,423.5 | <0.001* | |
Rac1 | |||||||
Age | 1 | 0.033 | 0.856 | 1 | 0.007 | 0.932 | |
Sex | 1 | 0.781 | 0.380 | 1 | 3.732 | 0.057 | |
Group | 1 | 8.050 | 0.006* | 1 | 0.355 | 0.553 | |
DOCK180 | |||||||
Age | 1 | 0.015 | 0.902 | 1 | 0.692 | 0.408 | |
Sex | 1 | 0.232 | 0.631 | 1 | 1.026 | 0.314 | |
Group | 1 | 4.345 | 0.041* | 1 | 11.082 | 0.001* | |
ELMO1 | |||||||
Age | 1 | 1.852 | 0.178 | 1 | 0.014 | 0.907 | |
Sex | 1 | 1.521 | 0.221 | 1 | 0.804 | 0.373 | |
Group | 1 | 4.857 | 0.031* | 1 | 57.282 | <0.001* | |
CDC42 | |||||||
Age | 1 | 0.030 | 0.863 | ||||
Sex | 1 | 0.852 | 0.359 | ||||
Group | 1 | 117.151 | <0.001* |
mRNA, messenger RNA; df, degree of freedom.
*p<0.05 using analysis of covariance.