Abstract
We evaluated the metabolic effects of gastrectomies and endoscopic submucosal dissections (ESDs) in early gastric cancer (EGC) patients with type 2 diabetes mellitus (T2DM). Forty-one EGC patients with T2DM undergoing gastrectomy or ESD were prospectively evaluated. Metabolic parameters in the patients who underwent gastrectomy with and without a duodenal bypass (groups 1 and 2, n = 24 and n = 5, respectively) were compared with those in patients who underwent ESD (control, n = 12). After 1 year, the proportions of improved/equivocal/worsened glycemic control were 62.5%/29.2%/8.3% in group 1, 40.0%/60.0%/0.0% in group 2, and 16.7%/50.0%/33.3% in the controls, respectively (p = 0.046). The multivariable ordered logistic regression analysis results showed that both groups had better 1-year glycemic control. Groups 1 and 2 showed a significant reduction in postprandial glucose (−97.9 and −67.8 mg/dL), body mass index (−2.1 and −2.3 kg/m2), and glycosylated hemoglobin (group 1 only, −0.5% point) (all p < 0.05). Furthermore, improvements in group 1 were more prominent when preoperative leptin levels were high (p for interaction < 0.05). Metabolic improvements in both groups were also observed for insulin resistance, leptin, plasminogen activator inhibitor-1, and resistin. Gastrectomy improved glycemic control and various metabolic parameters in EGC patients with T2DM. Patients with high leptin levels may experience greater metabolic benefits from gastrectomy with duodenal bypass.
1. Introduction
Gastric cancer is the most frequently diagnosed cancer in Korea and has the fifth-highest incidence among newly diagnosed cancer cases worldwide [1,2]. While the incidence of gastric cancer has steadily decreased, the number of gastric cancer survivors has increased due to early diagnosis and improved treatment techniques [1,2,3]. In Korea, the 5-year survival rate of gastric cancer has dramatically improved from 43.9% in 1993–1995 to 76.5% in 2013–2017, and the number of gastric cancer survivors reached about 300,000 in 2017 [1].
Type 2 diabetes mellitus (T2DM) is one of the most common comorbidities that determine overall mortality, non-cancer mortality, and quality of life in cancer survivors [4,5,6]. The prevalence of T2DM has been increasing worldwide, and it reached 13.8% in 2018 in Korea [7,8]. Patients with T2DM are at a higher risk for gastric cancer development, and the incidence of T2DM increases after gastric cancer development [9,10]. Therefore, proper management of T2DM is an important issue in many gastric cancer patients.
Gastrectomy and endoscopic submucosal dissection (ESD) are two curative treatment modalities for early gastric cancer (EGC) that show comparable overall and disease-specific survival [11]. Interestingly, gastrectomy performed as bariatric surgery improves glycemic control in morbidly obese patients with T2DM [12,13,14]. Moreover, studies have reported improvement in T2DM in gastric cancer patients after gastrectomy [15,16,17,18]. This evidence suggests that gastrectomy may have additional benefits over ESD in improving glycemic control in EGC patients with T2DM. However, to date, no study has compared the effects of gastrectomy with those of ESD on glycemic control in gastric cancer patients with T2DM using laboratory results.
This study aimed to prospectively examine the metabolic effects of gastrectomy with or without the duodenal bypass and compare the findings with those for ESD in EGC patients with T2DM. We also aimed to explore preoperative conditions in which the metabolic advantage of gastrectomy over ESD increases to identify patients who would benefit the most from gastrectomy.
2. Materials and Methods
2.1. Study Subjects and Protocols
This nonrandomized, controlled, prospective cohort study initially recruited 62 eligible EGC patients with T2DM who were scheduled to undergo ESD or gastrectomy between April 2012 and December 2014 at the National Cancer Center in Korea (clinicaltrials.gov accesed on 14 July 2014, identifier: NCT01643811). The enrollment criteria were as follows: (1) histologically proven primary gastric adenocarcinoma; (2) in clinical stage Ia or Ib examined with endoscopy, endoscopic ultrasound, and computed tomography; (3) aged 20–80 years; (4) performance status of 0 or 1 on the Eastern Cooperative Oncology Group scale; (5) diagnosis of T2DM; (6) plan to undergo gastrectomy or ESD; and (7) provision of written informed consent. The exclusion criteria were as follows: (1) having a high risk regarding the operation, such as severe heart disease or respiratory disease; (2) being pregnant or planning for pregnancy; (3) having experienced previous abdominal surgery or radiation therapy; or (4) having a proven more advanced disease than pathological stage II requiring adjuvant chemotherapy.
All treatment options were chosen at the discretion of each surgeon. We categorized all patients into three groups according to the intervention: (1) gastrectomy with duodenal bypass group (total and subtotal gastrectomy with Roux-en-Y gastrojejunostomy, and subtotal gastrectomy with loop gastrojejunostomy), (2) gastrectomy without bypass group (subtotal gastrectomy with gastroduodenostomy), and (3) ESD group (the control). Each preoperative and follow-up (3 and 12 months after treatment) examination included measurements of the patient’s height and body weight, along with blood tests (glycosylated hemoglobin (HbA1c), fasting blood glucose (FBG), 2-hour postprandial glucose (PP2), metabolic hormones, and adipokines). After the follow-up examination at 12 months, the patients were followed up regularly in a routine care setting. The protocol and data were approved by the institutional review board of the National Cancer Center (IRB No. NCCNCS-12-563) and all patients provided written informed consent.
2.2. Identification and Management Protocols for T2DM
Patients who had previously received antidiabetic drugs were classified as having diabetes. Among patients with no previous history of diabetes, DM was defined based on the result of preoperative evaluation according to the American Diabetes Association criteria: FBG ≥ 126 mg/dL, random glucose ≥ 200 mg/dL, or HbA1c ≥ 6.5% [19]. During a follow-up after 1 year, the diabetes medications were titrated by endocrinologists to achieve HbA1c < 7.0%.
2.3. Metabolic Hormones and Adipokines Measurement
Patient blood samples (fasting and postprandial) were stored in a −70 °C deep freezer and used for the measurement of metabolic hormones and adipokines using Bio-Plex Pro™ Diabetes Assay Panels (Luminex, Austin, TX, USA). Insulin, glucagon, ghrelin, gastric inhibitory polypeptide (GIP), glucagon-like peptide-1 (GLP-1), leptin, plasminogen activator inhibitor-1 (PAI-1), resistin, and visfatin levels were assessed. The homeostasis model of insulin resistance (HOMA-IR) was calculated using the following formula: fasting insulin (IU/mL) × FBG (mg/dL)/405.
2.4. Glycemic Control Status Assessment
Glycemic control status was assessed at the 1-year visit. Glycemic control status was considered to be “improved” if patients had lower HbA1c with medication with a dose equal to or lower than the baseline and “worsened” if patients had higher HbA1c with medication with a dose equal to or higher than the baseline. Other cases excluded from the “improved” and “worsened” categories were defined as “equivocal”.
2.5. Long-Term Outcomes
The composite event was recorded until 3 February 2021, and it included the recurrence of gastric cancer, myocardial infarction, stroke, coronary revascularization, and all-cause death.
2.6. Statistical Analysis
Continuous values were presented as means with standard deviations or medians with interquartile ranges. Categorical values were presented as frequencies and percentages. Baseline characteristics, according to intervention groups, were compared via an analysis of variance followed by a Bonferroni post hoc test, a Kruskal–Wallis test followed by Dunn’s post hoc test, or Fisher’s exact test, according to the variable type.
The association between the types of the intervention and glycemic control status (the order of “improved”, “equivocal”, and “worsened”) at the 1-year visit was assessed using the ordered logistic regression analysis. Demographic characteristics and baseline metabolic parameters were considered as potential confounders, and the final multivariable model was adjusted for statistically significant potential confounders through a stepwise selection method. The associations are presented as odds ratios (ORs) with 95% confidence intervals (CIs).
Each metabolic parameter (HbA1c, FBG, PP2, BMI, and HOMA-IR) and levels of metabolic hormones and adipokines during the 1-year follow-up period were compared between the groups of gastrectomy with duodenal bypass patients, gastrectomy without duodenal bypass patients, and ESD patients using the linear mixed model. HOMA-IR, metabolic hormones, and adipokines levels were log-transformed to improve the normality. The differences between groups were adjusted for age, sex, time from the baseline, and the baseline measurements of each assessed variable. The difference between the groups in log-transformed levels of metabolic hormones and adipokines was exponentially transformed and interpreted as a ratio of hormone levels between the groups on the basis of the following equation:
difference between groups in log(measurements) = log(measurements in the gastrectomy group) − log(measurements in the ESD group) = log(measurements in the gastrectomy group/measurements in the ESD group) = log(a ratio of measurements between groups).
Additionally, the changes in each measurement at the 3-month and 1-year visits, relative to the baseline levels, were assessed using a paired t-test, and p-values were adjusted using Dunnett’s method for multiple comparisons between two visit points and the baseline.
For long-term outcomes, the Kaplan–Meier method was used to generate survival curves, while the log-rank test was performed to evaluate differences in composite event-free survival according to the types of the interventions.
2.7. Assessment of Effect Modification
Whether the effects of gastrectomy on the 1-year glycemic control status (with ESD as the control) were altered by the baseline metabolic characteristics was explored using the interaction terms, which were defined as the product of the type of interventions and the levels of each parameter. The significance of the effect modification was tested by entering each interaction term into the multivariable ordered logistic regression model for the 1-year glycemic control status.
Patient subgroups were classified based on the median values of the significant effect modifiers detected in the preceding test. Stratified analyses for changes in metabolic parameters were performed according to the subgroups using the linear mixed models. The significance of the heterogeneity according to the subgroups was tested by entering the product of the type of interventions and subgroups into the linear mixed models.
All statistical analyses were performed using SAS 9.4 (SAS Institute Inc., Cary, NC, USA). Analysis items with p < 0.05 were considered to be statistically significant.
3. Results
3.1. Patient Baseline Characteristics
A total of 62 EGC patients with T2DM were initially enrolled and underwent either gastrectomy or ESD (Figure 1). Among them, 21 patients were excluded due to withdrawal of agreement (n = 18), failure to follow-up (n = 2), and advancement of the disease beyond pathological stage II (n = 1). Finally, a total of 41 patients were included in the 1-year outcome analysis. The number of patients was 24, 5, and 12 in the gastrectomy with duodenal bypass, gastrectomy without duodenal bypass, and ESD groups, respectively. The gastrectomy with duodenal bypass group consisted of patients who underwent a total (n = 5) and subtotal (n = 9) gastrectomy with Roux-en-Y gastrojejunostomy and patients who underwent subtotal gastrectomy with loop gastrojejunostomy (n = 10).
Figure 1.
Flow chart of the study.
The patient baseline characteristics are presented in Table 1. There were no significant differences in age, sex, duration of diabetes, HbA1c, FBG, PP2, and HOMA-IR between the groups. The mean BMI values were different between the groups (24.1, 21.9, and 26.1 kg/m2 in gastrectomy with duodenal bypass, without bypass, and ESD groups, respectively, p = 0.022), and the gastrectomy without duodenal bypass group had a lower BMI than did the ESD group (adjusted p = 0.024). The levels of metabolic hormones and adipokines were similar between the groups, except for fasting and postprandial PAI-1 levels; the postprandial PAI-1 levels were lower in the gastrectomy without duodenal bypass group than in the ESD group (adjusted p = 0.015). Most patients (40 of 41) did not use insulin; the gastrectomy with duodenal bypass group included one patient who took insulin.
Table 1.
Baseline characteristics of patients included in the analysis.
3.2. Glycemic Control Status at the 1-Year Visit
After 1 year of follow-up, the glycemic control status was different according to the type of intervention (Supplementary Figure S1 online); the proportions of improved/equivocal/worsened glycemic control were 62.5%/29.2%/8.3% in the gastrectomy with duodenal bypass group, 40.0%/60.0%/0.0% in the gastrectomy without duodenal bypass group, and 16.7%/50.0%/33.3% in the ESD group, respectively (p = 0.046).
The independent effect of each type of surgery on the 1-year glycemic control status was assessed using ordered logistic regression analysis (Table 2). In the univariable analysis, gastrectomy with duodenal bypass was associated with a better glycemic control status than was an ESD (OR = 7.93, 95% CI = 1.81–34.70). In the final multivariable model, the effects of gastrectomy were adjusted for the baseline HOMA-IR, which was the only significant variable among potential confounders, including age, sex, DM duration, BMI, and HbA1c. In this final model, both gastrectomy with duodenal bypass (OR = 8.68, 95% CI = 1.81–41.63) and gastrectomy without duodenal bypass (OR = 10.60, 95% CI = 1.10–102.35) were associated with a better glycemic control status than was ESD. These estimates for ORs were similar in the full multivariable model that included all potential confounding variables.
Table 2.
The effects of gastrectomy with or without duodenal bypass on the probability of better glycemic control at the 1-year visit.
3.3. Changes in Metabolic Parameters after Gastrectomy
To investigate the effect of surgery on the metabolic parameters (HbA1c, FBG, PP2, BMI, and HOMA-IR), we compared each measurement during the follow-up period between the groups (Table 3). Compared with the ESD group, the gastrectomy with duodenal bypass group showed significantly lower HbA1c (−0.5% point), PP2 (−97.9 mg/dL), BMI (−2.1 kg/m2), and log10-transformed HOMA-IR (−0.21) (all p < 0.05). The gastrectomy without duodenal bypass group showed similar patterns of metabolic improvements in PP2 (−67.8 mg/dL), BMI (−2.3 kg/m2), and log10-transformed HOMA-IR (−0.31) (all p < 0.05), but the improvement in HbA1c was not significant (−0.5% point, p = 0.184). The improvement in FBG was not significant in either of the gastrectomy groups, with or without duodenal bypass.
Table 3.
Metabolic parameters during the 1-year follow-up period.
Metabolic parameters at the 3-month and 1-year visits were also compared with the baseline levels (Table 3 and Supplementary Figure S2 online). Compared with the preoperative levels, HbA1c, PP2, and BMI showed significant improvements in the gastrectomy with duodenal bypass group, while only BMI showed a significant improvement in the gastrectomy without duodenal bypass group. In contrast, the ESD group showed significant worsening in the FBG levels (+23.8 mg/dL at the 1-year visit, p = 0.024).
3.4. Changes in Metabolic Hormones and Adipokines after Gastrectomy
Metabolic hormone and adipokine levels in the gastrectomy groups during the follow-up period were compared with those in the ESD group (Figure 2 and Supplementary Table S1 online). The gastrectomy with duodenal bypass group showed a significant reduction in fasting leptin, postprandial leptin, and fasting PAI-1 levels (reduced to 61.1%, 67.5%, and 60.1% of those in the ESD group, respectively, all p < 0.05). The gastrectomy without duodenal bypass group showed a similar magnitude of reduction in fasting leptin, postprandial leptin, and fasting PAI-1 levels (reduced to 60.5%, 54.4%, and 53.3% of those in the ESD group, respectively), but the reduction in leptin levels was not statistically significant. Fasting resistin levels were reduced only in the gastrectomy without duodenal bypass group (reduced to 63.8% of those in the ESD group, p = 0.040). Ghrelin, GIP, GLP-1, glucagon, visfatin, postprandial PAI-1, and postprandial resistin levels after gastrectomy were not different from those in the ESD groups.
Figure 2.
The ratios of metabolic hormone and adipokine levels after gastrectomy and after ESD (the reference). (a) Fasting leptin, (b) postprandial leptin, (c) fasting PAI-1, and (d) fasting resistin. The ratios and 95% confidence intervals were estimated using linear mixed models for log-transformed hormone levels, with adjustments for age, sex, time from the baseline, and the baseline measurements of each assessed variable. ESD, endoscopic submucosal dissection; PAI-1, plasminogen activator inhibitor-1.
3.5. Factors Influencing the Metabolic Effects of Gastrectomy with Duodenal Bypass
We explored the influence of preoperative metabolic characteristics on the improvement of the 1-year glycemic control status in patients treated using gastrectomy with duodenal bypass (Supplementary Table S2 online). Due to a small number of cases, potential effect modifiers for gastrectomy without duodenal bypass were not explored. In this exploratory analysis, the beneficial effect of gastrectomy with duodenal bypass was more prominent in patients with higher preoperative fasting or postprandial leptin levels (p for interaction = 0.011 and 0.009, respectively) but was attenuated in those with higher preoperative fasting PAI-1 levels (p for interaction = 0.013). The effect of gastrectomy with duodenal bypass on the 1-year glycemic control status was not changed by the preoperative BMI, HbA1c, FBG, PP2, HOMA-IR, other metabolic hormones, or adipokines levels.
Next, patient subgroups were classified according to the median values of the preoperative fasting leptin (2.1 ng/mL), postprandial leptin (1.8 ng/mL), and fasting PAI-1 (47.6 ng/mL) levels (Table 4). In the stratified analyses, those with high fasting leptin levels showed a greater decrease in PP2 (−127.1 vs. −72.3 mg/dL, p for interaction = 0.017) and BMI (−3.1 vs. −1.2 kg/m2, p for interaction = 0.018) than did those with lower fasting leptin levels, after gastrectomy with duodenal bypass. Similarly, patients with high postprandial leptin levels showed a greater decrease in PP2 (−133.5 vs. −72.4 mg/dL, p for interaction = 0.017) and BMI (−3.0 vs. −1.2 kg/m2, p for interaction = 0.010) than did those with lower postprandial leptin levels. However, the metabolic improvement after gastrectomy with duodenal bypass was not different, according to fasting PAI-1 levels.
Table 4.
Changes in the metabolic parameters after gastrectomy with duodenal bypass compared with ESD as a reference in the subgroups classified by preoperative fasting leptin, postprandial leptin, and fasting PAI-1 levels.
3.6. Long-Term Outcomes
During the postoperative follow-up period (median, 5.7 years; interquartile range, 4.9–6.9), one case each of recurrence (ESD group), stroke (gastrectomy without duodenal bypass group), and coronary revascularization (ESD group), and three cases of death from other malignancies (gastrectomy with duodenal bypass group; one biliary cancer and two hematologic malignancies) were recorded (Supplementary Figure S3 online). There was no difference in the composite event-free survival rate between groups (p = 0.647).
4. Discussion
This single-center prospective controlled cohort study compared standard curative treatment modalities for EGC in patients with T2DM in terms of metabolic effects. EGC patients with T2DM who underwent gastrectomy, with or without duodenal bypass, showed improvement in glycemic control status more frequently than did those who underwent ESD at 1 year postoperatively. The metabolic improvement by gastrectomy was significant in terms of the PP2, HbA1c, and BMI, as well as some metabolic hormones and adipokines, such as leptin and PAI-1. In particular, the patients with higher preoperative leptin levels experienced a greater metabolic benefit from gastrectomy with duodenal bypass versus ESD than did those with lower leptin levels; in this subgroup, the probability for better 1-year glycemic control status was much higher and the degree of improvement in PP2 and BMI was more pronounced.
It is well established in meta-analyses of randomized controlled trials (RCTs) that gastrectomy, performed as bariatric surgery, is excellent at improving or alleviating serum glucose in obese T2DM patients compared to medical therapy [20,21]. In the meta-analysis by Pack et al., both Roux-en-Y gastric bypass and sleeve gastrectomy showed higher remission rates than did standard medical therapy at 1 to 2 years post operation (risk ratios for remission = 9.13 and 11.15, respectively), and this superiority was maintained until 5 years post operation [21]. Bariatric surgery reduced the microvascular and macrovascular diabetic complications and improved the related mortality [22,23,24]. Although most studies included patients with BMI > 35 kg/m2, meta-analyses of selected RCTs and non-randomized studies showed that bariatric surgery was similarly effective in T2DM patients with BMI < 30~35 kg/m2 [25,26,27].
Gastrectomy to treat gastric cancer is technically similar to bariatric surgery; therefore, it was expected to have metabolic benefits in gastric cancer patients with T2DM. Several studies have discussed improvement in glycemic control and weight reduction after gastrectomy in gastric cancer patients [15,16,17,18,28,29]. However, no studies have compared gastrectomy to non-surgical treatment in gastric cancer patients, except for our previous epidemiological study [18]. This absence of an appropriate control group is an important limitation that can distort the estimate of the effect of gastrectomy in existing observational studies. Previously, we analyzed the Korean National Health Insurance System claims database and showed that, compared with endoscopic resection, total gastrectomy decreased the requirement for antidiabetic medications in gastric cancer patients [18]. However, due to the lack of biochemical data, the improvement of disease control could only be assessed with drug discontinuation [18]. In the current study, we regularly evaluated antidiabetic medications; biochemical data, including serum glucose and HbA1c levels; and anthropometric parameters. Consequently, we showed that the glycemic control status and BMI in EGC patients with T2DM who underwent gastrectomy were significantly improved relative to those in patients who underwent ESD.
In this study, patients who underwent gastrectomy with duodenal bypass had lower leptin and PAI-1 levels than did those who underwent ESD. The improvement in metabolic hormones and adipokines levels after gastrectomy has been demonstrated in studies on bariatric surgery, and Askarpour et al. reported in their recent meta-analysis that bariatric surgery reduced serum leptin, PAI-1, and chemerin levels [30]. A decrease in leptin levels after gastrectomy was also reported in gastric cancer patients, although the control group with non-surgical treatment was limited [15]. Leptin is a satiety hormone that is secreted mainly by the adipocytes [31]. It decreases body weight by suppressing appetite and promoting energy expenditure in physiologic conditions, but hyperleptinemia is observed in patients with obesity and T2DM due to leptin resistance [31,32]. Hyperleptinemia is associated with insulin resistance and micro- and macrovascular diabetic complications, and leptin-mediated hypertension was suggested as one of the mechanisms of developing cardiovascular diseases [32,33,34]. PAI-1 is an inflammatory adipokine that is associated with T2DM, diabetic nephropathy, and cardiovascular diseases [35,36]. Thus, reductions in leptin and PAI-1 levels after gastrectomy in ECG patients with T2DM might predict or mediate a reduction in risk for diabetic complications.
Another notable finding in this study was that higher preoperative leptin levels played a predictive role for a greater metabolic benefit from gastrectomy with duodenal bypass versus ESD. Such a predictive role has not been widely investigated, but there are a few recent studies on this topic [15,37]. In an RCT that included 40 patients that compared the glycemic control effects of gastric cancer surgery according to surgery type, patients who experienced improvement or remission of diabetes at 12 months after surgery had higher preoperative leptin levels than those who did not [15]. In contrast, in a cohort study on 38 obese patients (mean BMI = 47.3 kg/m2) with diabetes who underwent bariatric surgery, those with higher than mean preoperative leptin levels (27.3 ng/mL) had higher glucose levels at 3 months post operation [37]. However, this leptin level was approximately 13 times higher than that measured in our study (2.1 ng/mL) due to differences in study populations (obesity vs. EGC) [37]. Since an improvement in hyperleptinemia is one of the remarkable effects of gastrectomy [30], the metabolic benefit from gastrectomy might be less prominent in those without hyperleptinemia. Our results suggest that choosing gastrectomy with duodenal bypass over ESD might be particularly advantageous in EGC patients with T2DM with high leptin levels.
This study had some limitations. The small sample size of this study led to underpowered results, and results on gastrectomy without duodenal bypass may not be reliable due to the small number of patients included. In addition, given the exploratory nature of the study, statistical adjustment for multiplicity was not conducted for multiple outcomes. Therefore, the possibility cannot be excluded that some of the statistically significant results in this study appeared by chance and, thus, they should be interpreted with caution based on the existing scientific knowledge. Because this was a nonrandomized observational study, the results may have been influenced by unmeasured confounders, although most of the measured potential confounders did not differ significantly between groups and were additionally controlled in multivariable analyses. The high dropout rate (33.9%) might serve as a source of bias via differential dropout, although the dropout rates were similar between groups, and the most common reason for dropout was the withdrawal of consent rather than medical problems or failure to follow-up. Furthermore, we could not confirm the difference in the long-term cardiovascular outcome, which could be dependent on diabetes control, due to the small number of events. Studies with a larger sample size are warranted to overcome these limitations and to validate our results.
In summary, our study suggests that gastrectomy has an advantage over ESD in terms of better diabetes management and weight reduction in EGC patients with T2DM and that this advantage can be more prominent in those with higher leptin levels. Metabolic benefits from gastrectomy should be considered in treatment decisions in these patients.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/jcm10174008/s1: Supplementary Table S1. Changes in the metabolic hormone levels (log10-transformed); Supplementary Table S2. Changes in the effects of gastrectomy with duodenal bypass according to the candidate effect modifiers on the probability of better 1-year glycemic control at the 1-year visit; Supplementary Figure S1. Glycemic control status at the 1-year visit according to the type of intervention. ESD, endoscopic submucosal dissection; Supplementary Figure S2. Changes in the metabolic parameters from the baseline values; Supplementary Figure S3. Kaplan–Meier curves for composite events (recurrence of gastric cancer, myocardial infarction, stroke, coronary revascularization, and all-cause death) according to the type of intervention.
Author Contributions
Writing—original draft, formal analysis, Y.K.L.; conceptualization, methodology, formal analysis, E.K.L. and Y.J.L.; data curation, writing—review and editing, B.W.E., H.M.Y., Y.-I.K., S.J.C., J.Y.L., C.G.K., M.K.Y., Y.-W.K. and I.J.C.; writing—review and editing, S.-Y.K., Y.H., H.J.K. and M.H.K.; conceptualization, methodology, data curation, supervision, K.W.R. All authors read and agreed to the published version of the manuscript.
Funding
This work was supported by research grants NCC1210552-3 (PI: Keun Won Ryu), NCC1510740-1 (PI: Mi Hyang Kwak), and NCC1410650-1 (PI: Eun Kyung Lee) from the National Cancer Center, Republic of Korea.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and the protocol and data were approved by the institutional review board of the National Cancer Center (IRB No. NCCNCS-12-563).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The datasets generated for this study are available on reasonable request to the corresponding author. The data are not publicly available due to privacy reasons.
Conflicts of Interest
The authors declare that there are no conflict of interest. The funding sources were not involved in study design, data collection, analysis, interpretation of data, or the decision to submit the paper for publication.
References
- Hong, S.; Won, Y.J.; Park, Y.R.; Jung, K.W.; Kong, H.J.; Lee, E.S. Cancer statistics in korea: Incidence, mortality, survival, and prevalence in 2017. Cancer Res. Treat. 2020, 52, 335–350. [Google Scholar] [CrossRef]
- Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jun, J.K.; Choi, K.S.; Lee, H.Y.; Suh, M.; Park, B.; Song, S.H.; Jung, K.W.; Lee, C.W.; Choi, I.J.; Park, E.C.; et al. Effectiveness of the korean national cancer screening program in reducing gastric cancer mortality. Gastroenterology 2017, 152, 1319–1328.e7. [Google Scholar] [CrossRef] [PubMed]
- Edwards, B.K.; Noone, A.M.; Mariotto, A.B.; Simard, E.P.; Boscoe, F.P.; Henley, S.J.; Jemal, A.; Cho, H.; Anderson, R.N.; Kohler, B.A.; et al. Annual report to the nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer 2014, 120, 1290–1314. [Google Scholar] [CrossRef] [PubMed]
- Van Gelder, T.; Mulhern, B.; Schoormans, D.; Husson, O.; Lourenço, R.D.A. Assessing health-related quality of life in cancer survivors: Factors impacting on eortc qlu-c10d-derived utility values. Qual. Life Res. 2020, 29, 1483–1494. [Google Scholar] [CrossRef]
- Sarfati, D.; Gurney, J.; Lim, B.T.; Bagheri, N.; Simpson, A.; Koea, J.; Dennett, E. Identifying important comorbidity among cancer populations using administrative data: Prevalence and impact on survival. Asia Pac. J. Clin. Oncol. 2016, 12, e47–e56. [Google Scholar] [CrossRef]
- Cho, N.H.; Shaw, J.E.; Karuranga, S.; Huang, Y.; Fernandes, J.D.d.R.; Ohlrogge, A.W.; Malanda, B. Idf diabetes atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res. Clin. Pract. 2018, 138, 271–281. [Google Scholar] [CrossRef]
- Jung, C.H.; Son, J.W.; Kang, S.; Kim, W.J.; Kim, H.S.; Kim, H.S.; Seo, M.; Shin, H.J.; Lee, S.S.; Jeong, S.J.; et al. Diabetes fact sheets in korea, 2020: An appraisal of current status. Diabetes Metab. J. 2021, 45, 1–10. [Google Scholar] [CrossRef]
- Hwangbo, Y.; Kang, D.; Kang, M.; Kim, S.; Lee, E.K.; Kim, Y.A.; Chang, Y.J.; Choi, K.S.; Jung, S.Y.; Woo, S.M.; et al. Incidence of diabetes after cancer development: A korean national cohort study. JAMA Oncol. 2018, 4, 1099–1105. [Google Scholar] [CrossRef]
- Yoon, J.M.; Son, K.Y.; Eom, C.S.; Durrance, D.; Park, S.M. Pre-existing diabetes mellitus increases the risk of gastric cancer: A meta-analysis. World J. Gastroenterol. 2013, 19, 936–945. [Google Scholar] [CrossRef]
- Guideline Committee of the Korean Gastric Cancer Association (KGCA); Development Working Group and Review Panel. Korean practice guideline for gastric cancer 2018: An evidence-based, multi-disciplinary approach. J. Gastric Cancer 2019, 19, 1–48. [Google Scholar] [CrossRef] [PubMed]
- Ikramuddin, S.; Korner, J.; Lee, W.J.; Connett, J.E.; Inabnet, W.B.; Billington, C.J.; Thomas, A.J.; Leslie, D.B.; Chong, K.; Jeffery, R.W.; et al. Roux-en-y gastric bypass vs. intensive medical management for the control of type 2 diabetes, hypertension, and hyperlipidemia: The diabetes surgery study randomized clinical trial. JAMA 2013, 309, 2240–2249. [Google Scholar] [CrossRef]
- Schauer, P.R.; Kashyap, S.R.; Wolski, K.; Brethauer, S.A.; Kirwan, J.P.; Pothier, C.E.; Thomas, S.; Abood, B.; Nissen, S.E.; Bhatt, D.L. Bariatric surgery versus intensive medical therapy in obese patients with diabetes. N. Engl. J. Med. 2012, 366, 1567–1576. [Google Scholar] [CrossRef] [PubMed]
- Schauer, P.R.; Bhatt, D.L.; Kirwan, J.P.; Wolski, K.; Brethauer, S.A.; Navaneethan, S.D.; Aminian, A.; Pothier, C.E.; Kim, E.S.; Nissen, S.E.; et al. Bariatric surgery versus intensive medical therapy for diabetes-3-year outcomes. N. Engl. J. Med. 2014, 370, 2002–2013. [Google Scholar] [CrossRef] [Green Version]
- Choi, Y.Y.; Noh, S.H.; An, J.Y. A randomized controlled trial of roux-en-y gastrojejunostomy vs. Gastroduodenostomy with respect to the improvement of type 2 diabetes mellitus after distal gastrectomy in gastric cancer patients. PLoS ONE 2017, 12, e0188904. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kim, J.H.; Huh, Y.J.; Park, S.; Park, Y.S.; Park, D.J.; Kwon, J.W.; Lee, J.H.; Heo, Y.S.; Choi, S.H. Multicenter results of long-limb bypass reconstruction after gastrectomy in patients with gastric cancer and type ii diabetes. Asian J. Surg. 2020, 43, 297–303. [Google Scholar] [CrossRef]
- Kim, J.W.; Cheong, J.H.; Hyung, W.J.; Choi, S.H.; Noh, S.H. Outcome after gastrectomy in gastric cancer patients with type 2 diabetes. World J. Gastroenterol. 2012, 18, 49–54. [Google Scholar] [CrossRef] [PubMed]
- Lee, E.K.; Kim, S.Y.; Lee, Y.J.; Kwak, M.H.; Kim, H.J.; Choi, I.J.; Cho, S.J.; Kim, Y.W.; Lee, J.Y.; Kim, C.G.; et al. Improvement of diabetes and hypertension after gastrectomy: A nationwide cohort study. World J. Gastroenterol. 2015, 21, 1173–1181. [Google Scholar] [CrossRef]
- American Diabetes Association. Standards of medical care in diabetes—2011. Diabetes Care 2011, 34 (Suppl. 1), S11–S61. [Google Scholar]
- Khorgami, Z.; Shoar, S.; Saber, A.A.; Howard, C.A.; Danaei, G.; Sclabas, G.M. Outcomes of bariatric surgery versus medical management for type 2 diabetes mellitus: A meta-analysis of randomized controlled trials. Obes. Surg. 2019, 29, 964–974. [Google Scholar] [CrossRef]
- Park, C.H.; Nam, S.J.; Choi, H.S.; Kim, K.O.; Kim, D.H.; Kim, J.W.; Sohn, W.; Yoon, J.H.; Jung, S.H.; Hyun, Y.S.; et al. Comparative efficacy of bariatric surgery in the treatment of morbid obesity and diabetes mellitus: A systematic review and network meta-analysis. Obes. Surg. 2019, 29, 2180–2190. [Google Scholar] [CrossRef]
- Sheng, B.; Truong, K.; Spitler, H.; Zhang, L.; Tong, X.; Chen, L. The long-term effects of bariatric surgery on type 2 diabetes remission, microvascular and macrovascular complications, and mortality: A systematic review and meta-analysis. Obes. Surg. 2017, 27, 2724–2732. [Google Scholar] [CrossRef]
- Yan, G.; Wang, J.; Zhang, J.; Gao, K.; Zhao, Q.; Xu, X. Long-term outcomes of macrovascular diseases and metabolic indicators of bariatric surgery for severe obesity type 2 diabetes patients with a meta-analysis. PLoS ONE 2019, 14, e0224828. [Google Scholar] [CrossRef] [PubMed]
- Billeter, A.T.; Scheurlen, K.M.; Probst, P.; Eichel, S.; Nickel, F.; Kopf, S.; Fischer, L.; Diener, M.K.; Nawroth, P.P.; Müller-Stich, B.P. Meta-analysis of metabolic surgery versus medical treatment for microvascular complications in patients with type 2 diabetes mellitus. Br. J. Surg. 2018, 105, 168–181. [Google Scholar] [CrossRef] [PubMed]
- Cummings, D.E.; Cohen, R.V. Bariatric/metabolic surgery to treat type 2 diabetes in patients with a bmi < 35 kg/m2. Diabetes Care 2016, 39, 924–933. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rubio-Almanza, M.; Hervás-Marín, D.; Cámara-Gómez, R.; Caudet-Esteban, J.; Merino-Torres, J.F. Does metabolic surgery lead to diabetes remission in patients with bmi < 30 kg/m2?: A meta-analysis. Obes. Surg. 2019, 29, 1105–1116. [Google Scholar] [CrossRef]
- Ji, G.; Li, P.; Li, W.; Sun, X.; Yu, Z.; Li, R.; Zhu, L.; Zhu, S. The effect of bariatric surgery on asian patients with type 2 diabetes mellitus and body mass index < 30 kg/m2: A systematic review and meta-analysis. Obes. Surg. 2019, 29, 2492–2502. [Google Scholar] [CrossRef]
- Xiong, S.W.; Zhang, D.Y.; Liu, X.M.; Liu, Z.; Zhang, F.T. Comparison of different gastric bypass procedures in gastric carcinoma patients with type 2 diabetes mellitus. World J. Gastroenterol. 2014, 20, 18427–18431. [Google Scholar] [CrossRef]
- Hayashi, S.Y.; Faintuch, J.; Yagi, O.K.; Yamaguchi, C.M.; Faintuch, J.J.; Cecconello, I. Does roux-en-y gastrectomy for gastric cancer influence glucose homeostasis in lean patients? Surg. Endosc. 2013, 27, 2829–2835. [Google Scholar] [CrossRef]
- Askarpour, M.; Alizadeh, S.; Hadi, A.; Symonds, M.E.; Miraghajani, M.; Sheikhi, A.; Ghaedi, E. Effect of bariatric surgery on the circulating level of adiponectin, chemerin, plasminogen activator inhibitor-1, leptin, resistin, and visfatin: A systematic review and meta-analysis. Horm. Metab. Res. 2020, 52, 207–215. [Google Scholar] [CrossRef]
- Kelesidis, T.; Kelesidis, I.; Chou, S.; Mantzoros, C.S. Narrative review: The role of leptin in human physiology: Emerging clinical applications. Ann. Intern. Med. 2010, 152, 93–100. [Google Scholar] [CrossRef]
- Katsiki, N.; Mikhailidis, D.P.; Banach, M. Leptin, cardiovascular diseases and type 2 diabetes mellitus. Acta Pharmacol. Sin. 2018, 39, 1176–1188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Simonds, S.E.; Pryor, J.T.; Ravussin, E.; Greenway, F.L.; Dileone, R.; Allen, A.M.; Bassi, J.; Elmquist, J.K.; Keogh, J.M.; Henning, E.; et al. Leptin mediates the increase in blood pressure associated with obesity. Cell 2014, 159, 1404–1416. [Google Scholar] [CrossRef] [Green Version]
- Boutari, C.; Perakakis, N.; Mantzoros, C.S. Association of adipokines with development and progression of nonalcoholic fatty liver disease. Endocrinol. Metab. 2018, 33, 33–43. [Google Scholar] [CrossRef] [PubMed]
- Goldberg, R.B. Cytokine and cytokine-like inflammation markers, endothelial dysfunction, and imbalanced coagulation in development of diabetes and its complications. J. Clin. Endocrinol. Metab. 2009, 94, 3171–3182. [Google Scholar] [CrossRef] [Green Version]
- Jung, R.G.; Motazedian, P.; Ramirez, F.D.; Simard, T.; Di Santo, P.; Visintini, S.; Faraz, M.A.; Labinaz, A.; Jung, Y.; Hibbert, B. Association between plasminogen activator inhibitor-1 and cardiovascular events: A systematic review and meta-analysis. Thromb. J. 2018, 16, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cabrera, L.O.; Trindade, E.N.; Leite, C.; Abegg, E.H.; Trindade, M.R.M. Preoperative level of leptin can be a predictor of glycemic control for patients with diabetes undergoing bariatric surgery. Obes. Surg. 2020, 30, 4829–4833. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).