Literature DB >> 35079440

Predictive Significance of Promoter DNA Methylation of Cysteine Dioxygenase Type 1 (CDO1) in Metachronous Gastric Cancer.

Yo Kubota1, Satoshi Tanabe2, Mizutomo Azuma1, Kazue Horio1, Yoshiki Fujiyama3, Takafumi Soeno3, Yasuaki Furue1, Takuya Wada1, Akinori Watanabe1, Kenji Ishido1, Chikatoshi Katada1, Keishi Yamashita3, Wasaburo Koizumi1, Chika Kusano1.   

Abstract

PURPOSE: Promoter DNA methylation of various genes has been associated with metachronous gastric cancer (MGC). The cancer-specific methylation gene, cysteine dioxygenase type 1 (CDO1), has been implicated in the occurrence of residual gastric cancer. We evaluated whether DNA methylation of CDO1 could be a predictive biomarker of MGC using specimens of MGC developing on scars after endoscopic submucosal dissection (ESD).
MATERIALS AND METHODS: CDO1 methylation values (TaqMeth values) were compared between 33 patients with early gastric cancer (EGC) with no confirmed metachronous lesions at >3 years after ESD (non-MGC: nMGC group) and 11 patients with MGC developing on scars after ESD (MGCSE groups: EGC at the first ESD [MGCSE-1 group], EGC at the second ESD for treating MGC developing on scars after ESD [MGCSE-2 group]). Each EGC specimen was measured at five locations (at tumor [T] and the 4-point tumor-adjacent noncancerous mucosa [TAM]).
RESULTS: In the nMGC group, the TaqMeth values for T were significantly higher than that for TAM (P=0.0006). In the MGCSE groups, TAM (MGCSE-1) exhibited significantly higher TaqMeth values than TAM (nMGC) (P<0.0001) and TAM (MGCSE-2) (P=0.0041), suggesting that TAM (MGCSE-1) exhibited CDO1 hypermethylation similar to T (P=0.3638). The area under the curve for discriminating the highest TaqMeth value of TAM (MGCSE-1) from that of TAM (nMGC) was 0.81, and using the cut-off value of 43.4, CDO1 hypermethylation effectively enriched the MGCSE groups (P<0.0001).
CONCLUSIONS: CDO1 hypermethylation has been implicated in the occurrence of MGC, suggesting its potential as a promising MGC predictor.
Copyright © 2021. Korean Gastric Cancer Association.

Entities:  

Keywords:  Cysteine dioxygenase; Early gastric cancer; Endoscopic submucosal dissection; Methylation

Year:  2021        PMID: 35079440      PMCID: PMC8753284          DOI: 10.5230/jgc.2021.21.e35

Source DB:  PubMed          Journal:  J Gastric Cancer        ISSN: 1598-1320            Impact factor:   3.720


INTRODUCTION

Presently, gastric cancer ranks as the sixth most common type of malignant tumor and is the third leading cause of mortality in men worldwide [1]. Due to the eradication efforts for Helicobacter pylori, the incidence of gastric cancer has decreased in recent years in Japan; however, it remains the third leading cause of mortality among malignant tumors [2]. With the development and increasingly common use of endoscopic submucosal dissection (ESD), ESD has become the established standard treatment for early gastric cancer (EGC) [3]. With the widespread treatment of EGC by ESD, it has become well known that metachronous gastric cancer (MGC) can develop after ESD, and surveillance endoscopy for MGC is recommended after ESD in these patients [4]. There are certain cases in which MGC develops on scars after curative ESD. The incidence of MGC after ESD has been reported to range from 4.0% to 13.0% [567]. Various genetic abnormalities such as genomic gain, genomic loss, and genomic mutations are involved in gastric cancer development [8]. Furthermore, epigenetic abnormalities, including DNA methylation, are more dominant during gastric carcinogenesis [9] and are affected by epigenetic field cancerization in the tumor-adjacent noncancerous mucosa (TAM), where DNA methylation abnormalities in various genes increase because of chronic inflammation due to H. pylori infection in the gastric mucosa [101112]. Promoter DNA methylation, which is associated with gastric carcinogenesis, has recently attracted attention as a cancer-specific biomarker [13]. Among them, cysteine dioxygenase type 1 (CDO1) has been recognized as a novel tumor suppressor gene candidate in human cancers [1415]. Previous reports have described the excellent diagnostic performance and prognostic relevance of CDO1 promoter hypermethylation in various gastrointestinal cancers, including gastric cancer [16-21]. However, there have been no reports on CDO1 promoter hypermethylation as a predictor of MGC after ESD. Therefore, we investigated the association between the subsequent development of MGC after ESD and epigenetic abnormalities using specimens of MGC developing on scars after curative ESD.

MATERIALS AND METHODS

Patients and materials

A total of 2,055 patients underwent ESD for EGC at Kitasato University Hospital and Kitasato University East Hospital between September 2002 and December 2016 (Fig. 1). A total of 33 patients with the latest consecutive EGC with no confirmed evidence of metachronous lesions at >3 years after curative ESD were selected as controls from 1,896 patients with no metachronous lesions (non-MGC: nMGC group). All 33 patients tested positive for H. pylori infection (current infection or after eradication). Among the 2,055 patients, 11 (0.5%) exhibited the development of MGC on scars after curative ESD (MGCSE groups) (Fig. 2), all 11 tested positive for H. pylori (current infection or after eradication). All patients were investigated for H. pylori status at the time of the initial medical examination. Among the MGCSE groups, we also examined patients who underwent the first ESD for EGC (MGCSE-1 group) and those who underwent a second ESD to treat MGC developing on scars after curative ESD (MGCSE-2 group). Both groups (MGCSE-1 and MGCSE-2) were investigated in the same patients. Furthermore, in the MGCSE-2 group, no cases of new MGCSE occurred during the observation period after the second ESD.
Fig. 1

Flowchart of study participants treated for early gastric cancer by endoscopic submucosal dissection.

EGC = early gastric cancer; ESD = endoscopic submucosal dissection; MGC = metachronous gastric cancer.

Fig. 2

Representative cases in the MGCSE groups. Representative case from MGCSE group. Three years after the first ESD (the upper left panel shows the lesion (yellow arrowhead) before ESD (MGCSE-1) and the upper right panel shows after ESD), we diagnosed a new lesion (lower left panel) categorized as MGCSE-2 (yellow arrowhead). The lower-right panel shows the lesion after the second ESD. While performing the first ESD, we could recognize the submucosal layer with a blue area (indigo carmine) (upper middle panel). On the second ESD, it was difficult to recognize the border between the submucosal and muscular layers due to fibrosis (white area), and it was difficult to treat (lower middle panel).

MGCSE = metachronous gastric cancer developing on scars after curative ESD; ESD = endoscopic submucosal dissection; MGCSE-1 = early gastric cancer at the first ESD; MGCSE-2 = EGC at the second ESD performed for treating MGC developing on scars after curative ESD.

Flowchart of study participants treated for early gastric cancer by endoscopic submucosal dissection.

EGC = early gastric cancer; ESD = endoscopic submucosal dissection; MGC = metachronous gastric cancer.

Representative cases in the MGCSE groups. Representative case from MGCSE group. Three years after the first ESD (the upper left panel shows the lesion (yellow arrowhead) before ESD (MGCSE-1) and the upper right panel shows after ESD), we diagnosed a new lesion (lower left panel) categorized as MGCSE-2 (yellow arrowhead). The lower-right panel shows the lesion after the second ESD. While performing the first ESD, we could recognize the submucosal layer with a blue area (indigo carmine) (upper middle panel). On the second ESD, it was difficult to recognize the border between the submucosal and muscular layers due to fibrosis (white area), and it was difficult to treat (lower middle panel).

MGCSE = metachronous gastric cancer developing on scars after curative ESD; ESD = endoscopic submucosal dissection; MGCSE-1 = early gastric cancer at the first ESD; MGCSE-2 = EGC at the second ESD performed for treating MGC developing on scars after curative ESD. This study was conducted in accordance with the ethical guidelines outlined in the Declaration of Helsinki and was approved by the Kitasato University Hospital Ethics Committee (no. B18-036). All patients provided informed consent prior to enrollment.

Cell lines

The hepatocellular carcinoma cell line HepG2 and colorectal cancer cell line DLD1 were used as positive and negative controls for CDO1 methylation, respectively, as previously described [22]. The DLD1 cells were provided by the Cell Resource Center for Biomedical Research, Institute of Development, Aging and Cancer, Tohoku University (Sendai, Japan), whereas HepG2 cells were purchased from the RIKEN BioResource Research Center (Ibaraki, Japan). DLD1 cells were maintained in Roswell Park Memorial Institute-1640 medium (GIBCO, Carlsbad, CA, USA). HepG2 cells were maintained in Dulbecco’s modified Eagle’s medium (GIBCO) containing 10% fetal bovine serum and penicillin-streptomycin (GIBCO).

Genomic DNA extraction and bisulfite treatment

The locations of the tumor (T) and TAM were identified in EGC specimens pathologically diagnosed using hematoxylin-eosin staining after ESD. Formalin-fixed paraffin-embedded tissues of excised specimens of the T and TAM were cut into 20 10-μm-thick slices. After deparaffinization, genomic DNA was extracted from the T and the separated TAMs (four points: oral TAM, anal TAM, right TAM, and left TAM) tissues using a QIAamp® DNA Mini Kit (Qiagen, Hilden, Germany) (Fig. 3). TAMs were extracted from noncancerous mucosa at a distance of more than 2 mm from the T site to prevent contamination of the tumor components. The extracted genomic DNA (2 μg) was chemically converted by bisulfite treatment using the EZ DNA Methylation-Gold™ Kit (Zymo Research, Irvine, CA, USA). The bisulfite-treated DNA was subsequently amplified as a template via quantitative methylation-specific polymerase chain reaction (Q-MSP).
Fig. 3

Definition of sample locations for DNA extraction. Sample locations for DNA (left panel) and genomic DNA extraction from the T and separate TAMs (four points: oral TAM, anal TAM, right TAM, and left TAM) tissues. Corresponding pathological findings are shown in the right panels (hematoxylin and eosin staining, ×20, ×40). TAMs were extracted from noncancerous mucosa at a distance of more than 2 mm from the T site to prevent contamination of the tumor components.

T = tumor; TAM = tumor-adjacent noncancerous mucosa.

Definition of sample locations for DNA extraction. Sample locations for DNA (left panel) and genomic DNA extraction from the T and separate TAMs (four points: oral TAM, anal TAM, right TAM, and left TAM) tissues. Corresponding pathological findings are shown in the right panels (hematoxylin and eosin staining, ×20, ×40). TAMs were extracted from noncancerous mucosa at a distance of more than 2 mm from the T site to prevent contamination of the tumor components.

T = tumor; TAM = tumor-adjacent noncancerous mucosa.

Q-MSP

Q-MSP for CDO1 was performed using a C1000 Touch™ thermal cycler with a CFX96 Real-Time System (Bio-Rad, Hercules, CA, USA). Q-MSP was conducted at 95°C for 3 minutes, followed by 40 cycles at 95°C for 20 s, annealing temperature for 30 seconds, and 72°C for 30 seconds, in a 25-μL reaction volume containing 1 μL of bisulfite-treated genomic DNA, 300 nmol/L of each primer, 200 nmol/L of a fluorescent probe, and 12.5 μL of iQ Supermix (Bio-Rad). PCR conditions and primer and probe sequences were designed as previously described [22]. All reactions were performed in triplicate. The CDO1 methylation value was defined as the ratio of the amplified signal value of methylated CDO1 to the value of β-actin, which was subsequently multiplied by 100. The CDO1 methylation value was designated as the TaqMeth value throughout the text.

Statistical analysis

Continuous and categorical variables were analyzed using the Student’s t-test and χ2 test, respectively. Univariate analyses of factors for the clinicopathological characteristics of EGC were performed using the log-rank method. The observation period was defined as the time from the first ESD to the day of the final upper gastrointestinal endoscopy (median, 59 months; range, 37–179 months). The median observation period was 59 months (37–66 months) in the nMGC group and 70 months (44–179 months) in the MGCSE group. The occurrence period for MGC was defined as the time from the day of the first ESD to the day of the second ESD (median, 22 months; range, 14–49 months). Statistical analyses were performed using the JMP 11 software (SAS Institute Inc., Cary, NC, USA). Statistical significance was set at P<0.05.

RESULTS

Clinicopathological characteristics

Table 1 summarizes the clinicopathological characteristics of the 44 patients with EGC (nMGC group, n=33; MGCSE-1 group, n=11). With respect to H. pylori status at the time of ESD treatment, all 44 patients had been infected (current infection, n=16; after eradication, n=28; P=1.0000). Atrophic gastric mucosa was defined according to the Kimura-Takemoto classification [232425]; all 44 patients (nMGC and MGCSE-1 group) had atrophic gastric mucosa (closed type: n=4, open type: n=40) (P=1.0000). With regard to histological type, 39 lesions were well-differentiated adenocarcinomas, whereas five lesions were moderately differentiated adenocarcinomas; however, the histological types were not significantly different among all patients (P=1.0000). Furthermore, among the MGCSE groups, the histological type of the lesion in the MGCSE-1 and MGCSE-2 groups was the same in 9 of 11 patients (Supplementary Table 1).
Table 1

Clinicopathological characteristics of the 44 patients with early gastric cancer

VariablesEGC (n=44)nMGC group (n=33)MGCSE-1 group (n=11)P-value
AgeMedian (range)73 (58–85)73 (58–85)74 (65–84)0.4319
Sex Male32 (72.7%)25 (75.8%)7 (63.6%)0.4569
Female12 (27.3%)8 (24.2%)4 (36.4%)
H. pylori status (during ESD)Current infection16 (36.4%)12 (36.4%)4 (36.4%)1.0000
After eradication28 (63.6%)21 (63.6%)7 (63.6%)
AtrophyClosed type4 (9.1%)3 (9.1%)1 (9.1%)1.0000
Open type40 (90.9%)30 (90.9%)10 (90.9%)
LocationMiddle26 (59.1%)19 (57.6%)7 (63.6%)1.0000
Low18 (40.9%)14 (42.4%)4 (36.4%)
Macroscopic typeFlat and elevated16 (36.4%)10 (30.3%)6 (54.4%)0.1694
Flat and depressed28 (63.6%)23 (69.7%)5 (45.6%)
Histological typeWell-differentiated39 (88.6%)29 (87.9%)10 (90.9%)1.0000
Moderately differentiated5 (11.4%)4 (12.1%)1 (9.1%)

EGC = early gastric cancer; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; MGC = metachronous gastric cancer; MGCSE = MGC developing on scars after curative ESD; MGCSE-1 = the EGC at the first ESD; ESD = endoscopic submucosal dissection.

EGC = early gastric cancer; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; MGC = metachronous gastric cancer; MGCSE = MGC developing on scars after curative ESD; MGCSE-1 = the EGC at the first ESD; ESD = endoscopic submucosal dissection.

Quantification of CDO1 promoter DNA methylation in the nMGC group

In the nMGC group, the CDO1 TaqMeth values significantly differed between the T (n=33; median, 26.0; range, 3.1–81.2) and the TAM (n=33×4=132; median, 18.3; range, 0.0–65.8) tissues (P=0.0006; Fig. 4A). The CDO1 TaqMeth values for TAM were significantly lower than those for T. In addition, our recent study on CDO1 methylation status demonstrated that the methylation value was nearly zero (median, 0; range, 0.0–3.4) in 160 samples of the corresponding non-cancerous pancreas (non-CP) among patients with pancreatic ductal adenocarcinoma (PDAC) [26]. Therefore, considering the results of PDAC, the TaqMeth values for TAM in this study were surprisingly higher than expected. Thereafter, we quantified values in each of the TAMs separately (four points: oral TAM, anal TAM, right TAM, and left TAM) compared to the corresponding T value and found significant differences (P=0.0111, P=0.0451, P=0.0201, and P=0.0220, respectively; Fig. 4B).
Fig. 4

Quantitative methylation-specific polymerase chain reaction for cysteine dioxygenase type 1 in the T and the TAM in EGC. (A) In the nMGC group, there was a highly significant difference in the TaqMeth values of CDO1 between the T and TAM tissues (P=0.0006). (B) TaqMeth values of CDO1 for the T and the separate TAMs (four points: oral TAM, anal TAM, right TAM, and left TAM) in the nMGC group. Each comparison is significantly different (P=0.0111, P=0.0451, P=0.0201, and P=0.0220, respectively). (C) In the MGCSE-1 group, there was no significant difference in the TaqMeth values of CDO1 between the T and TAM tissues (P=0.3914). (D) TaqMeth values of CDO1 for the T and the separate TAMs (oral TAM, anal TAM, right TAM, and left TAM) in the MGCSE-1 group. None of the comparisons were significantly different (P=0.3606, P=0.9999, P=0.2535, and P=0.5242, respectively). (E) In the MGCSE-2 group, there was no significant difference in the TaqMeth values of CDO1 between the T and TAM tissues (P=0.5677). (F) TaqMeth values of CDO1 for T and the separate TAMs (oral TAM, anal TAM, right TAM, and left TAM) in the MGCSE-2 group. None of the comparisons were significantly different (P=0.8779, P=0.3751, P=0.1948, and P=0.8386, respectively).

TaqMeth values = methylation values; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; EGC = early gastric cancer; ESD = endoscopic submucosal dissection; TAM = tumor-adjacent noncancerous mucosa; T = tumor; MGCSE = metachronous gastric cancer developing on scars after curative ESD; MGCSE-1 = EGC at the first ESD; MGCSE-2 = EGC at the second ESD performed for treating MGC developing on scars after curative ESD.

Quantitative methylation-specific polymerase chain reaction for cysteine dioxygenase type 1 in the T and the TAM in EGC. (A) In the nMGC group, there was a highly significant difference in the TaqMeth values of CDO1 between the T and TAM tissues (P=0.0006). (B) TaqMeth values of CDO1 for the T and the separate TAMs (four points: oral TAM, anal TAM, right TAM, and left TAM) in the nMGC group. Each comparison is significantly different (P=0.0111, P=0.0451, P=0.0201, and P=0.0220, respectively). (C) In the MGCSE-1 group, there was no significant difference in the TaqMeth values of CDO1 between the T and TAM tissues (P=0.3914). (D) TaqMeth values of CDO1 for the T and the separate TAMs (oral TAM, anal TAM, right TAM, and left TAM) in the MGCSE-1 group. None of the comparisons were significantly different (P=0.3606, P=0.9999, P=0.2535, and P=0.5242, respectively). (E) In the MGCSE-2 group, there was no significant difference in the TaqMeth values of CDO1 between the T and TAM tissues (P=0.5677). (F) TaqMeth values of CDO1 for T and the separate TAMs (oral TAM, anal TAM, right TAM, and left TAM) in the MGCSE-2 group. None of the comparisons were significantly different (P=0.8779, P=0.3751, P=0.1948, and P=0.8386, respectively).

TaqMeth values = methylation values; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; EGC = early gastric cancer; ESD = endoscopic submucosal dissection; TAM = tumor-adjacent noncancerous mucosa; T = tumor; MGCSE = metachronous gastric cancer developing on scars after curative ESD; MGCSE-1 = EGC at the first ESD; MGCSE-2 = EGC at the second ESD performed for treating MGC developing on scars after curative ESD.

Quantification of CDO1 promoter DNA methylation in the MGCSE-1 group

In the MGCSE-1 group, no significant difference in CDO1 TaqMeth values was identified between the tissue from the T (n=11; median, 40.1; range, 16.2–85.3) and TAM (n=11×4=44; median, 33.2; range, 7.1–100.6) (P=0.3914; Fig. 4C). Thereafter, we quantified the TAM values separately (four points: oral TAM, anal TAM, right TAM, and left TAM) in comparison with the corresponding T value, and found no significant differences (P=0.3606, P=0.9999, P=0.2535, and P=0.5242, respectively; Fig. 4D).

Quantification of CDO1 promoter DNA methylation in the MGCSE-2 group

In the MGCSE-2 group, no significant difference in CDO1 TaqMeth values was identified between the tissue from the T (n=11; median, 24.0; range, 8.6–47.2) and TAM (n=11×4=44; median, 24.1; range, 0.0–56.2) (P=0.5677; Fig. 4E). We subsequently quantified the TAM values separately (four points: oral TAM, anal TAM, right TAM, and left TAM) in comparison with the corresponding T value and found no significant differences (P=0.8779, P=0.3751, P=0.1948, and P=0.8386, respectively; Fig. 4F).

Unique characteristics of the TAM in the MGCSE-1 group

In all the groups (nMGC, MGCSE-1, and MGCSE-2 groups), we separately analyzed the values of T (Fig. 5A) and TAM samples (Fig. 5B). The median CDO1 TaqMeth value for the T was 26.0 (range, 3.1–81.2) in the nMGC group (n=33), 40.1 (range, 16.2–85.3) in the MGCSE-1 group (n=11), and 24.0 (range, 8.6–47.2) in the MGCSE-2 group (n=11), albeit without significant differences (P=0.1096, P=0.6180, P=0.6314, respectively; Fig. 5A). The median CDO1 TaqMeth value for the TAM was 18.3 (range, 0.0–65.8) in the nMGC group (n=132), 33.2 (range, 7.1–100.6) in the MGCSE-1 group (n=44), and 24.1 (range, 0.0–56.2) in the MGCSE-2 group (n=44), with significant differences between the MGCSE-1 group and the nMGC and MGCSE-2 groups (P<0.0001 and P=0.0041, respectively; Fig. 5B), and there was no significant difference between the nMGC and MGCSE-2 groups (P=0.0560). Intriguingly, no significant difference was detected between the TAM values in the MGCSE-1 group and the T value for the 55 cases pooled from all groups (P=0.3638; Fig. 5C).
Fig. 5

Quantitative methylation-specific polymerase chain reaction for CDO1 among the nMGC, MGCSE-1, and MGCSE-2 groups. (A) In the T tissue, there was no significant difference in the TaqMeth value of CDO1 among the nMGC, MGCSE-1, and MGCSE-2 groups (P=0.1096, P=0.6180, P=0.6314, respectively). (B) In the TAM tissue, the TaqMeth value of CDO1 in the MGCSE-1 group was significantly higher than that in the nMGC and MGCSE-2 groups (P<0.0001 and P=0.0041, respectively), although there was no significant difference between the nMGC and MGCSE-2 groups (P=0.0560). (C) In the T and TAM tissues, there was no significant difference in the TaqMeth values of CDO1 between the pooled T tissue from all groups and the TAM in the MGCSE-1 group (P=0.3638).

T = tumor; TAM = tumor-adjacent noncancerous mucosa; TaqMeth values = methylation values; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; EGC = early gastric cancer; ESD = endoscopic submucosal dissection; MGCSE = MGC developing on scars after curative ESD; MGCSE-1 = EGC at the first ESD; MGCSE-2 = EGC at the second ESD for treating MGC developing on scars after curative ESD; MGC = metachronous gastric cancer; CDO1 = cysteine dioxygenase type 1.

Quantitative methylation-specific polymerase chain reaction for CDO1 among the nMGC, MGCSE-1, and MGCSE-2 groups. (A) In the T tissue, there was no significant difference in the TaqMeth value of CDO1 among the nMGC, MGCSE-1, and MGCSE-2 groups (P=0.1096, P=0.6180, P=0.6314, respectively). (B) In the TAM tissue, the TaqMeth value of CDO1 in the MGCSE-1 group was significantly higher than that in the nMGC and MGCSE-2 groups (P<0.0001 and P=0.0041, respectively), although there was no significant difference between the nMGC and MGCSE-2 groups (P=0.0560). (C) In the T and TAM tissues, there was no significant difference in the TaqMeth values of CDO1 between the pooled T tissue from all groups and the TAM in the MGCSE-1 group (P=0.3638).

T = tumor; TAM = tumor-adjacent noncancerous mucosa; TaqMeth values = methylation values; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; EGC = early gastric cancer; ESD = endoscopic submucosal dissection; MGCSE = MGC developing on scars after curative ESD; MGCSE-1 = EGC at the first ESD; MGCSE-2 = EGC at the second ESD for treating MGC developing on scars after curative ESD; MGC = metachronous gastric cancer; CDO1 = cysteine dioxygenase type 1.

Prediction according to the CDO1 TaqMeth values in MGC

The optimal cut-off value for the prediction of MGC was analyzed from the TAM data in the nMGC and MGCSE-1 groups using receiver operating characteristic curves. The optimal TaqMeth value for all TAMs (n=176) in both groups was 29.1 (area under the curve [AUC], 0.74; P<0.0001; sensitivity, 56.8%; specificity, 79.6%; Fig. 6A). Furthermore, when the highest value for the separate four-point TAMs in both groups was extracted, the optimal TaqMeth value was 43.4 (AUC, 0.81; P<0.0001; sensitivity, 81.8%; specificity, 78.8%; Fig. 6B).
Fig. 6

Quantitative methylation-specific polymerase chain reaction for cysteine dioxygenase type 1 at all points and the optimal cut-off value for MGC occurrence. (A) ROC curve for all TAMs (nMGC and MGCSE-1 groups). The AUC was 0.74, and there was a significant difference (P<0.0001). (B) ROC curve with the highest value for the separate four-point TAMs (nMGC and MGCSE-1 groups). The AUC was 0.81, and there was a significant difference (P<0.0001).

AUC = area under the curve; MGC = metachronous gastric cancer; ROC = receiver operating characteristic; TAM = tumor-adjacent noncancerous mucosa; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; MGCSE = MGC developing on scars after curative ESD; MGCSE-1 = EGC at the first ESD; EGC = early gastric cancer; ESD = endoscopic submucosal dissection.

Quantitative methylation-specific polymerase chain reaction for cysteine dioxygenase type 1 at all points and the optimal cut-off value for MGC occurrence. (A) ROC curve for all TAMs (nMGC and MGCSE-1 groups). The AUC was 0.74, and there was a significant difference (P<0.0001). (B) ROC curve with the highest value for the separate four-point TAMs (nMGC and MGCSE-1 groups). The AUC was 0.81, and there was a significant difference (P<0.0001).

AUC = area under the curve; MGC = metachronous gastric cancer; ROC = receiver operating characteristic; TAM = tumor-adjacent noncancerous mucosa; nMGC = EGC with no confirmed evidence of metachronous lesions >3 years after curative ESD; MGCSE = MGC developing on scars after curative ESD; MGCSE-1 = EGC at the first ESD; EGC = early gastric cancer; ESD = endoscopic submucosal dissection. The CDO1 TaqMeth values for all cases are presented in Supplementary Tables 2, 3, 4. In seven cases (21.2%), the highest value for the TAM was equal to or greater than the cut-off value (43.4) among the 33 patients in the nMGC group. In contrast, in nine cases (81.8%), the highest value for the TAM was equal to or greater than the cut-off value (43.4) among the 11 patients in the MGCSE-1 group. The values significantly differed between the MGCSE-1 and nMGC groups (P<0.0001) (Supplementary Table 5). In three cases (27.2%), the highest value for the TAM was equal to or greater than the cut-off value (43.4) among the 11 patients in the MGCSE-2 group.

DISCUSSION

This is the first study to report on the molecular alterations associated with MGC using specimens of MGC developing on scars after curative resection by ESD. MGCSE was detected in only 0.5% of all ESD cases. The median duration for the development of new atypical EGC on scars after ESD was 22 months (range, 14–49 months). The MGCSE-1 group was compared to the nMGC group, and no clear clinicopathological differences were identified them (Table 1). This result suggests that MGCSE might have formed because of molecular changes in the background atrophic mucosa. These changes may play a critical role in carcinogenesis among epigenetic factors. This is also the first report of the clinicopathological features of MGCSE. The carcinogenic process in the gastric mucosa with atrophy is mainly attributable to epigenetic field abnormalities [10]. Atrophy related to old age and H. pylori infection is caused by irritation due to chronic inflammation [1027]. Chronic inflammation leads to DNA and epigenetic abnormalities in the gastric mucosa [1128]. Particularly, epigenetic alterations involved in gastric carcinogenesis are considered to contribute to a two-fold higher risk than that associated with esophageal squamous cell carcinoma [9], which may be due to so-called “field cancerization,” in which epigenetic changes responsible for altering gene expression have already occurred in the background gastric mucosa [12]. Although the histological types of the MGCSE-1 and MGCSE-2 groups were almost equivalent in our study, the ESD results of all MGCSE groups showed that the lateral and horizontal margins were negative, and all cases achieved curative resection (R0 resection). Therefore, we suggest that MGCSE-1 was pathologically confirmed after curative resection by the first ESD and that MGCSE-2 was not caused by residual cancer. However, considering the presence of newly developed cancers in the same area, it is strongly suggested that the TAM in the MGCSE-1 group already harbored cancer-like changes. Furthermore, by measuring TAMs at four points rather than one, it is possible to confirm whether epigenetic changes have occurred in the entire TAM. We focused on CDO1, a hypermethylated gene with particularly high specificity in human cancers because CDO1 is the most promising candidate gene for evaluating cancer-specific epigenetic changes. CDO1 is an enzyme that converts cysteine to cysteine sulfinic acid in cells, leading to an increase in SO3 2- mediated by aspartate aminotransferase (GOT1) and replenishing cystine (CYS2) in the extracellular compartment [29]. xCT mediates the transport of cystine from the extracellular space to intracellular compartments, facilitating cancer stemness [29]. Its overexpression is accompanied by the production of nuclear factor erythroid 2-related factor 2 (NRF2), a central redox sensor, and results in the generation of reactive oxygen species, thereby promoting apoptosis [30]. Among the cancer-specific methylation genes in gastric cancer, CDO1 has the highest AUC (0.95) for distinguishing cancerous from noncancerous tissues [14]. This finding suggests that CDO1 methylation in cancer cells may be strongly associated with carcinogenesis. This study revealed that the TAM tissues in the nMGC group were hypermethylated, although not as much as the T tissue (Fig. 4A). Our previous study on CDO1 methylation in PDAC showed that 90% of cancerous tissues were methylated, whereas non-CP tissues exhibited no methylation [26]. In addition, in remnant gastric cancer, CDO1 was shown to be more highly methylated in cancerous tissue than in the noncancerous mucosa far from the tumor; however, its methylation level was detectable in the noncancerous mucosa [31]. Furthermore, CDO1 methylation has been reported to be significantly higher in precancerous lesions of other cancers, such as small bowel cancer, colorectal cancer, and intraductal papillary mucinous neoplasm, than in noncancerous tissues [202132]. This study demonstrated for the first time that CDO1 hypermethylation in the TAM was more frequently detected in the MGCSE-1 group than in the nMGC group. In addition, the CDO1 methylation values for the TAM in the MGCSE-1 group were significantly higher than that in the MGCSE-2 group (Fig. 5B). Moreover, there was no significant difference in the CDO1 methylation values for the TAM between the MGCSE-2 and nMGC groups (Fig. 5B). Since there were no confirmed cases of a new MGCSE after the second ESD in the MGCSE-2 group, we propose that CDO1 hypermethylation is involved in carcinogenesis. Moreover, using the optimal CDO1 methylation value (43.4), we identified 9 out of 11 cases in the MGCSE-1 group. Maeda et al. reported an association between the development of MGC and hypermethylation of three genes (miR-124a-3, EMX1, and NKX6-1) in the gastric mucosa [33]. In this study, although the target genes were different, the TAM of the MGCSE group exhibited CDO1 hypermethylation, indicating a high risk of carcinogenesis even after curative ESD. Furthermore, MGCSE groups are considered useful as models for investigating the carcinogenesis of gastric cancer. The results of this study are essential, as the results in the MGCSE groups reflect epigenetic abnormalities that had already occurred. In predicting MGC, Asada et al. [34] examined gene methylation at a fixed point in the antrum (the lesser curvature, 2 cm from the pyloric ring) and reported a 2.3-fold increased risk of MGC. However, identifying the site of development of gastric cancer is difficult and cannot be accurately determined by prior biopsy. In contrast, in the MGCSE groups, MGC developed in the same location (MGCSE-2) as that of the first ESD, and the resection was curative (MGCSE-1). Furthermore, in the MGCSE-2 group, there was no development of MGCSE after the second ESD. Therefore, measuring CDO1 methylation of the T and TAM in nMGC, MGCSE-1, and MGCSE-2 specimens may predict the occurrence of new cancers in the same location in which the first ESD was performed for EGC. Therefore, MGCSE may be an important model for predicting the development of EGC. Our study has several important limitations. First, DNA methylation does not reflect a change that occurs in only a single gene; there is a strong association between methylated genes [35]. We have recently reported that when combined with HOPX/Reprimo/CDH1, CDO1 methylation can predict future occurrences of remnant gastric cancer [31]. It has been shown that the analysis of methylation of only a single gene, CDO1, may predict MGC; however, other methylated genes should be considered in combination with CDO1 for the prediction of MGC and in clinical applications. Second, we did not examine the case of MGC that did not develop scars after ESD in this study. We suggest that CDO1 hypermethylation may be useful in predicting MGC compared to nMGC and MGCSE groups. However, since MGCSE is relatively rare, a comparison with MGC not developing on scars after ESD should be performed in the future to improve the accuracy of predicting MGC in CDO1 hypermethylation. Furthermore, in this study, using the nMGC group as a control, the optimal methylation value of CDO1 (43.4) was used to identify nine of the 11 cases in the MGCSE-1 group. However, among the nMGC group, we found seven cases in which the highest value for the TAM exceeded the cut-off value (43.4). These cases need to be closely monitored because of the possibility of developing metachronous lesions. In conclusion, MGCSE specimens can be used to evaluate CDO1 DNA methylation. The results showed that CDO1 hypermethylation of the TAM in the MGCSE-1 group was comparable to that of T. Thus, CDO1 promoter DNA methylation was implicated in the occurrence of MGC and may be an important biomarker for predicting MGC.
  34 in total

1.  The clinical significance of cysteine dioxygenase type 1 methylation in Barrett esophagus adenocarcinoma.

Authors:  K Kojima; K Yamashita; H Ushiku; H Katoh; S Ishii; T Tanaka; K Yokoi; M Suzuki; Y Ooizumi; K Igarashi; K Hosoda; H Moriya; H Mieno; N Katada; S Tanabe; M Watanabe
Journal:  Dis Esophagus       Date:  2017-03-01       Impact factor: 3.429

2.  Aberrant methylation in gastric cancer associated with the CpG island methylator phenotype.

Authors:  M Toyota; N Ahuja; H Suzuki; F Itoh; M Ohe-Toyota; K Imai; S B Baylin; J P Issa
Journal:  Cancer Res       Date:  1999-11-01       Impact factor: 12.701

3.  Genetic and epigenetic alterations in normal tissues have differential impacts on cancer risk among tissues.

Authors:  Satoshi Yamashita; Takayoshi Kishino; Takamasa Takahashi; Taichi Shimazu; Hadrien Charvat; Yasuo Kakugawa; Takeshi Nakajima; Yi-Chia Lee; Naoko Iida; Masahiro Maeda; Naoko Hattori; Hideyuki Takeshima; Reiko Nagano; Ichiro Oda; Shoichiro Tsugane; Ming-Shiang Wu; Toshikazu Ushijima
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-22       Impact factor: 11.205

4.  Metachronous gastric cancers after endoscopic resection: how effective is annual endoscopic surveillance?

Authors:  Takeshi Nakajima; Ichiro Oda; Takuji Gotoda; Hisanao Hamanaka; Takako Eguchi; Chizu Yokoi; Daizo Saito
Journal:  Gastric Cancer       Date:  2006       Impact factor: 7.370

5.  Clinical features of gastric cancer discovered after successful eradication of Helicobacter pylori: results from a 9-year prospective follow-up study in Japan.

Authors:  T Kamada; J Hata; K Sugiu; H Kusunoki; M Ito; S Tanaka; K Inoue; Y Kawamura; K Chayama; K Haruma
Journal:  Aliment Pharmacol Ther       Date:  2005-05-01       Impact factor: 8.171

6.  CD44 variant regulates redox status in cancer cells by stabilizing the xCT subunit of system xc(-) and thereby promotes tumor growth.

Authors:  Takatsugu Ishimoto; Osamu Nagano; Toshifumi Yae; Mayumi Tamada; Takeshi Motohara; Hiroko Oshima; Masanobu Oshima; Tatsuya Ikeda; Rika Asaba; Hideki Yagi; Takashi Masuko; Takatsune Shimizu; Tomoki Ishikawa; Kazuharu Kai; Eri Takahashi; Yu Imamura; Yoshifumi Baba; Mitsuyo Ohmura; Makoto Suematsu; Hideo Baba; Hideyuki Saya
Journal:  Cancer Cell       Date:  2011-03-08       Impact factor: 31.743

Review 7.  Assessment of Endoscopic Gastric Atrophy according to the Kimura-Takemoto Classification and Its Potential Application in Daily Practice.

Authors:  Duc Trong Quach; Toru Hiyama
Journal:  Clin Endosc       Date:  2019-07-22

8.  Promoter DNA Hypermethylation of the Cysteine Dioxygenase 1 (CDO1) Gene in Intraductal Papillary Mucinous Neoplasm (IPMN).

Authors:  Yoshiki Fujiyama; Yusuke Kumamoto; Nobuyuki Nishizawa; Shuji Nakamoto; Hiroki Harada; Kazuko Yokota; Yoko Tanaka; Kazuharu Igarashi; Hironobu Oiki; Kosuke Okuwaki; Tomohisa Iwai; Sabine Kajita; Hiroyuki Takahashi; Hiroshi Tajima; Takashi Kaizu; Jiichiro Sasaki; Masahiko Watanabe; Keishi Yamashita
Journal:  Ann Surg Oncol       Date:  2020-03-06       Impact factor: 5.344

9.  Comprehensive molecular characterization of gastric adenocarcinoma.

Authors: 
Journal:  Nature       Date:  2014-07-23       Impact factor: 49.962

10.  Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study.

Authors:  Christina Fitzmaurice; Degu Abate; Naghmeh Abbasi; Hedayat Abbastabar; Foad Abd-Allah; Omar Abdel-Rahman; Ahmed Abdelalim; Amir Abdoli; Ibrahim Abdollahpour; Abdishakur S M Abdulle; Nebiyu Dereje Abebe; Haftom Niguse Abraha; Laith Jamal Abu-Raddad; Ahmed Abualhasan; Isaac Akinkunmi Adedeji; Shailesh M Advani; Mohsen Afarideh; Mahdi Afshari; Mohammad Aghaali; Dominic Agius; Sutapa Agrawal; Ayat Ahmadi; Elham Ahmadian; Ehsan Ahmadpour; Muktar Beshir Ahmed; Mohammad Esmaeil Akbari; Tomi Akinyemiju; Ziyad Al-Aly; Assim M AlAbdulKader; Fares Alahdab; Tahiya Alam; Genet Melak Alamene; Birhan Tamene T Alemnew; Kefyalew Addis Alene; Cyrus Alinia; Vahid Alipour; Syed Mohamed Aljunid; Fatemeh Allah Bakeshei; Majid Abdulrahman Hamad Almadi; Amir Almasi-Hashiani; Ubai Alsharif; Shirina Alsowaidi; Nelson Alvis-Guzman; Erfan Amini; Saeed Amini; Yaw Ampem Amoako; Zohreh Anbari; Nahla Hamed Anber; Catalina Liliana Andrei; Mina Anjomshoa; Fereshteh Ansari; Ansariadi Ansariadi; Seth Christopher Yaw Appiah; Morteza Arab-Zozani; Jalal Arabloo; Zohreh Arefi; Olatunde Aremu; Habtamu Abera Areri; Al Artaman; Hamid Asayesh; Ephrem Tsegay Asfaw; Alebachew Fasil Ashagre; Reza Assadi; Bahar Ataeinia; Hagos Tasew Atalay; Zerihun Ataro; Suleman Atique; Marcel Ausloos; Leticia Avila-Burgos; Euripide F G A Avokpaho; Ashish Awasthi; Nefsu Awoke; Beatriz Paulina Ayala Quintanilla; Martin Amogre Ayanore; Henok Tadesse Ayele; Ebrahim Babaee; Umar Bacha; Alaa Badawi; Mojtaba Bagherzadeh; Eleni Bagli; Senthilkumar Balakrishnan; Abbas Balouchi; Till Winfried Bärnighausen; Robert J Battista; Masoud Behzadifar; Meysam Behzadifar; Bayu Begashaw Bekele; Yared Belete Belay; Yaschilal Muche Belayneh; Kathleen Kim Sachiko Berfield; Adugnaw Berhane; Eduardo Bernabe; Mircea Beuran; Nickhill Bhakta; Krittika Bhattacharyya; Belete Biadgo; Ali Bijani; Muhammad Shahdaat Bin Sayeed; Charles Birungi; Catherine Bisignano; Helen Bitew; Tone Bjørge; Archie Bleyer; Kassawmar Angaw Bogale; Hunduma Amensisa Bojia; Antonio M Borzì; Cristina Bosetti; Ibrahim R Bou-Orm; Hermann Brenner; Jerry D Brewer; Andrey Nikolaevich Briko; Nikolay Ivanovich Briko; Maria Teresa Bustamante-Teixeira; Zahid A Butt; Giulia Carreras; Juan J Carrero; Félix Carvalho; Clara Castro; Franz Castro; Ferrán Catalá-López; Ester Cerin; Yazan Chaiah; Wagaye Fentahun Chanie; Vijay Kumar Chattu; Pankaj Chaturvedi; Neelima Singh Chauhan; Mohammad Chehrazi; Peggy Pei-Chia Chiang; Tesfaye Yitna Chichiabellu; Onyema Greg Chido-Amajuoyi; Odgerel Chimed-Ochir; Jee-Young J Choi; Devasahayam J Christopher; Dinh-Toi Chu; Maria-Magdalena Constantin; Vera M Costa; Emanuele Crocetti; Christopher Stephen Crowe; Maria Paula Curado; Saad M A Dahlawi; Giovanni Damiani; Amira Hamed Darwish; Ahmad Daryani; José das Neves; Feleke Mekonnen Demeke; Asmamaw Bizuneh Demis; Birhanu Wondimeneh Demissie; Gebre Teklemariam Demoz; Edgar Denova-Gutiérrez; Afshin Derakhshani; Kalkidan Solomon Deribe; Rupak Desai; Beruk Berhanu Desalegn; Melaku Desta; Subhojit Dey; Samath Dhamminda Dharmaratne; Meghnath Dhimal; Daniel Diaz; Mesfin Tadese Tadese Dinberu; Shirin Djalalinia; David Teye Doku; Thomas M Drake; Manisha Dubey; Eleonora Dubljanin; Eyasu Ejeta Duken; Hedyeh Ebrahimi; Andem Effiong; Aziz Eftekhari; Iman El Sayed; Maysaa El Sayed Zaki; Shaimaa I El-Jaafary; Ziad El-Khatib; Demelash Abewa Elemineh; Hajer Elkout; Richard G Ellenbogen; Aisha Elsharkawy; Mohammad Hassan Emamian; Daniel Adane Endalew; Aman Yesuf Endries; Babak Eshrati; Ibtihal Fadhil; Vahid Fallah Omrani; Mahbobeh Faramarzi; Mahdieh Abbasalizad Farhangi; Andrea Farioli; Farshad Farzadfar; Netsanet Fentahun; Eduarda Fernandes; Garumma Tolu Feyissa; Irina Filip; Florian Fischer; James L Fisher; Lisa M Force; Masoud Foroutan; Marisa Freitas; Takeshi Fukumoto; Neal D Futran; Silvano Gallus; Fortune Gbetoho Gankpe; Reta Tsegaye Gayesa; Tsegaye Tewelde Gebrehiwot; Gebreamlak Gebremedhn Gebremeskel; Getnet Azeze Gedefaw; Belayneh K Gelaw; Birhanu Geta; Sefonias Getachew; Kebede Embaye Gezae; Mansour Ghafourifard; Alireza Ghajar; Ahmad Ghashghaee; Asadollah Gholamian; Paramjit Singh Gill; Themba T G Ginindza; Alem Girmay; Muluken Gizaw; Ricardo Santiago Gomez; Sameer Vali Gopalani; Giuseppe Gorini; Bárbara Niegia Garcia Goulart; Ayman Grada; Maximiliano Ribeiro Guerra; Andre Luiz Sena Guimaraes; Prakash C Gupta; Rahul Gupta; Kishor Hadkhale; Arvin Haj-Mirzaian; Arya Haj-Mirzaian; Randah R Hamadeh; Samer Hamidi; Lolemo Kelbiso Hanfore; Josep Maria Haro; Milad Hasankhani; Amir Hasanzadeh; Hamid Yimam Hassen; Roderick J Hay; Simon I Hay; Andualem Henok; Nathaniel J Henry; Claudiu Herteliu; Hagos D Hidru; Chi Linh Hoang; Michael K Hole; Praveen Hoogar; Nobuyuki Horita; H Dean Hosgood; Mostafa Hosseini; Mehdi Hosseinzadeh; Mihaela Hostiuc; Sorin Hostiuc; Mowafa Househ; Mohammedaman Mama Hussen; Bogdan Ileanu; Milena D Ilic; Kaire Innos; Seyed Sina Naghibi Irvani; Kufre Robert Iseh; Sheikh Mohammed Shariful Islam; Farhad Islami; Nader Jafari Balalami; Morteza Jafarinia; Leila Jahangiry; Mohammad Ali Jahani; Nader Jahanmehr; Mihajlo Jakovljevic; Spencer L James; Mehdi Javanbakht; Sudha Jayaraman; Sun Ha Jee; Ensiyeh Jenabi; Ravi Prakash Jha; Jost B Jonas; Jitendra Jonnagaddala; Tamas Joo; Suresh Banayya Jungari; Mikk Jürisson; Ali Kabir; Farin Kamangar; André Karch; Narges Karimi; Ansar Karimian; Amir Kasaeian; Gebremicheal Gebreslassie Kasahun; Belete Kassa; Tesfaye Dessale Kassa; Mesfin Wudu Kassaw; Anil Kaul; Peter Njenga Keiyoro; Abraham Getachew Kelbore; Amene Abebe Kerbo; Yousef Saleh Khader; Maryam Khalilarjmandi; Ejaz Ahmad Khan; Gulfaraz Khan; Young-Ho Khang; Khaled Khatab; Amir Khater; Maryam Khayamzadeh; Maryam Khazaee-Pool; Salman Khazaei; Abdullah T Khoja; Mohammad Hossein Khosravi; Jagdish Khubchandani; Neda Kianipour; Daniel Kim; Yun Jin Kim; Adnan Kisa; Sezer Kisa; Katarzyna Kissimova-Skarbek; Hamidreza Komaki; Ai Koyanagi; Kristopher J Krohn; Burcu Kucuk Bicer; Nuworza Kugbey; Vivek Kumar; Desmond Kuupiel; Carlo La Vecchia; Deepesh P Lad; Eyasu Alem Lake; Ayenew Molla Lakew; Dharmesh Kumar Lal; Faris Hasan Lami; Qing Lan; Savita Lasrado; Paolo Lauriola; Jeffrey V Lazarus; James Leigh; Cheru Tesema Leshargie; Yu Liao; Miteku Andualem Limenih; Stefan Listl; Alan D Lopez; Platon D Lopukhov; Raimundas Lunevicius; Mohammed Madadin; Sameh Magdeldin; Hassan Magdy Abd El Razek; Azeem Majeed; Afshin Maleki; Reza Malekzadeh; Ali Manafi; Navid Manafi; Wondimu Ayele Manamo; Morteza Mansourian; Mohammad Ali Mansournia; Lorenzo Giovanni Mantovani; Saman Maroufizadeh; Santi Martini S Martini; Tivani Phosa Mashamba-Thompson; Benjamin Ballard Massenburg; Motswadi Titus Maswabi; Manu Raj Mathur; Colm McAlinden; Martin McKee; Hailemariam Abiy Alemu Meheretu; Ravi Mehrotra; Varshil Mehta; Toni Meier; Yohannes A Melaku; Gebrekiros Gebremichael Meles; Hagazi Gebre Meles; Addisu Melese; Mulugeta Melku; Peter T N Memiah; Walter Mendoza; Ritesh G Menezes; Shahin Merat; Tuomo J Meretoja; Tomislav Mestrovic; Bartosz Miazgowski; Tomasz Miazgowski; Kebadnew Mulatu M Mihretie; Ted R Miller; Edward J Mills; Seyed Mostafa Mir; Hamed Mirzaei; Hamid Reza Mirzaei; Rashmi Mishra; Babak Moazen; Dara K Mohammad; Karzan Abdulmuhsin Mohammad; Yousef Mohammad; Aso Mohammad Darwesh; Abolfazl Mohammadbeigi; Hiwa Mohammadi; Moslem Mohammadi; Mahdi Mohammadian; Abdollah Mohammadian-Hafshejani; Milad Mohammadoo-Khorasani; Reza Mohammadpourhodki; Ammas Siraj Mohammed; Jemal Abdu Mohammed; Shafiu Mohammed; Farnam Mohebi; Ali H Mokdad; Lorenzo Monasta; Yoshan Moodley; Mahmood Moosazadeh; Maryam Moossavi; Ghobad Moradi; Mohammad Moradi-Joo; Maziar Moradi-Lakeh; Farhad Moradpour; Lidia Morawska; Joana Morgado-da-Costa; Naho Morisaki; Shane Douglas Morrison; Abbas Mosapour; Seyyed Meysam Mousavi; Achenef Asmamaw Muche; Oumer Sada S Muhammed; Jonah Musa; Ashraf F Nabhan; Mehdi Naderi; Ahamarshan Jayaraman Nagarajan; Gabriele Nagel; Azin Nahvijou; Gurudatta Naik; Farid Najafi; Luigi Naldi; Hae Sung Nam; Naser Nasiri; Javad Nazari; Ionut Negoi; Subas Neupane; Polly A Newcomb; Haruna Asura Nggada; Josephine W Ngunjiri; Cuong Tat Nguyen; Leila Nikniaz; Dina Nur Anggraini Ningrum; Yirga Legesse Nirayo; Molly R Nixon; Chukwudi A Nnaji; Marzieh Nojomi; Shirin Nosratnejad; Malihe Nourollahpour Shiadeh; Mohammed Suleiman Obsa; Richard Ofori-Asenso; Felix Akpojene Ogbo; In-Hwan Oh; Andrew T Olagunju; Tinuke O Olagunju; Mojisola Morenike Oluwasanu; Abidemi E Omonisi; Obinna E Onwujekwe; Anu Mary Oommen; Eyal Oren; Doris D V Ortega-Altamirano; Erika Ota; Stanislav S Otstavnov; Mayowa Ojo Owolabi; Mahesh P A; Jagadish Rao Padubidri; Smita Pakhale; Amir H Pakpour; Adrian Pana; Eun-Kee Park; Hadi Parsian; Tahereh Pashaei; Shanti Patel; Snehal T Patil; Alyssa Pennini; David M Pereira; Cristiano Piccinelli; Julian David Pillay; Majid Pirestani; Farhad Pishgar; Maarten J Postma; Hadi Pourjafar; Farshad Pourmalek; Akram Pourshams; Swayam Prakash; Narayan Prasad; Mostafa Qorbani; Mohammad Rabiee; Navid Rabiee; Amir Radfar; Alireza Rafiei; Fakher Rahim; Mahdi Rahimi; Muhammad Aziz Rahman; Fatemeh Rajati; Saleem M Rana; Samira Raoofi; Goura Kishor Rath; David Laith Rawaf; Salman Rawaf; Robert C Reiner; Andre M N Renzaho; Nima Rezaei; Aziz Rezapour; Ana Isabel Ribeiro; Daniela Ribeiro; Luca Ronfani; Elias Merdassa Roro; Gholamreza Roshandel; Ali Rostami; Ragy Safwat Saad; Parisa Sabbagh; Siamak Sabour; Basema Saddik; Saeid Safiri; Amirhossein Sahebkar; Mohammad Reza Salahshoor; Farkhonde Salehi; Hosni Salem; Marwa Rashad Salem; Hamideh Salimzadeh; Joshua A Salomon; Abdallah M Samy; Juan Sanabria; Milena M Santric Milicevic; Benn Sartorius; Arash Sarveazad; Brijesh Sathian; Maheswar Satpathy; Miloje Savic; Monika Sawhney; Mehdi Sayyah; Ione J C Schneider; Ben Schöttker; Mario Sekerija; Sadaf G Sepanlou; Masood Sepehrimanesh; Seyedmojtaba Seyedmousavi; Faramarz Shaahmadi; Hosein Shabaninejad; Mohammad Shahbaz; Masood Ali Shaikh; Amir Shamshirian; Morteza Shamsizadeh; Heidar Sharafi; Zeinab Sharafi; Mehdi Sharif; Ali Sharifi; Hamid Sharifi; Rajesh Sharma; Aziz Sheikh; Reza Shirkoohi; Sharvari Rahul Shukla; Si Si; Soraya Siabani; Diego Augusto Santos Silva; Dayane Gabriele Alves Silveira; Ambrish Singh; Jasvinder A Singh; Solomon Sisay; Freddy Sitas; Eugène Sobngwi; Moslem Soofi; Joan B Soriano; Vasiliki Stathopoulou; Mu'awiyyah Babale Sufiyan; Rafael Tabarés-Seisdedos; Takahiro Tabuchi; Ken Takahashi; Omid Reza Tamtaji; Mohammed Rasoul Tarawneh; Segen Gebremeskel Tassew; Parvaneh Taymoori; Arash Tehrani-Banihashemi; Mohamad-Hani Temsah; Omar Temsah; Berhe Etsay Tesfay; Fisaha Haile Tesfay; Manaye Yihune Teshale; Gizachew Assefa Tessema; Subash Thapa; Kenean Getaneh Tlaye; Roman Topor-Madry; Marcos Roberto Tovani-Palone; Eugenio Traini; Bach Xuan Tran; Khanh Bao Tran; Afewerki Gebremeskel Tsadik; Irfan Ullah; Olalekan A Uthman; Marco Vacante; Maryam Vaezi; Patricia Varona Pérez; Yousef Veisani; Simone Vidale; Francesco S Violante; Vasily Vlassov; Stein Emil Vollset; Theo Vos; Kia Vosoughi; Giang Thu Vu; Isidora S Vujcic; Henry Wabinga; Tesfahun Mulatu Wachamo; Fasil Shiferaw Wagnew; Yasir Waheed; Fitsum Weldegebreal; Girmay Teklay Weldesamuel; Tissa Wijeratne; Dawit Zewdu Wondafrash; Tewodros Eshete Wonde; Adam Belay Wondmieneh; Hailemariam Mekonnen Workie; Rajaram Yadav; Abbas Yadegar; Ali Yadollahpour; Mehdi Yaseri; Vahid Yazdi-Feyzabadi; Alex Yeshaneh; Mohammed Ahmed Yimam; Ebrahim M Yimer; Engida Yisma; Naohiro Yonemoto; Mustafa Z Younis; Bahman Yousefi; Mahmoud Yousefifard; Chuanhua Yu; Erfan Zabeh; Vesna Zadnik; Telma Zahirian Moghadam; Zoubida Zaidi; Mohammad Zamani; Hamed Zandian; Alireza Zangeneh; Leila Zaki; Kazem Zendehdel; Zerihun Menlkalew Zenebe; Taye Abuhay Zewale; Arash Ziapour; Sanjay Zodpey; Christopher J L Murray
Journal:  JAMA Oncol       Date:  2019-12-01       Impact factor: 31.777

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