Serum tumor markers expression (CA199, CA242, and CEA) and its clinical implications in type 2 diabetes mellitus

Abstract

BACKGROUND

Glucose and lipid metabolic disorder in patients with type 2 diabetes mellitus (T2DM) is associated with the levels of serum tumor markers of the digestive tract, such as cancer antigen (CA)199. Therefore, tumor markers in T2DM are important.

AIM

To evaluate the expression of serum tumor markers [CA199, CA242, and car-cinoembryonic antigen (CEA)] and the clinical implications of the expression in T2DM.

METHODS

For this observational study conducted at Hefei BOE Hospital, China, we enrolled 82 patients with first-onset T2DM and 51 controls between April 2019 and December 2020. Levels of fasting blood glucose (FBG), tumor markers (CA199, CEA, and CA242), glycosylated hemoglobin (HbA1c), etc. were measured and group index levels were compared. Moreover, FBG and HbA1c levels were correlated with tumor marker levels. Tumor markers were tested for diagnostic accuracy in patients with > 9% HbA1c using the receiver operating curve (ROC) curve.

RESULTS

The T2DM group had high serum FBG, HbA1c, CA199, and CEA levels (P < 0.05). A comparative analysis of the two groups based on HbA1c levels (Group A: HbA1c ≤ 9%; Group B: HbA1c > 9%) revealed significant differences in CEA and CA199 levels (P < 0.05). The areas under the ROC curve for CEA and CA199 were 0.853 and 0.809, respectively. CA199, CEA, and CA242 levels positively correlated with HbA1c (r = 0.308, 0.426, and 0.551, respectively) and FBG levels (r = 0.236, 0.231, and 0.298, respectively).

CONCLUSION

As compared to controls, serum CEA and CA199 levels were higher in patients with T2DM. HbA1c and FBG levels correlated with CA199, CEA, and CA242 levels. Patients with poorly controlled blood sugar must be screened for tumor markers.

Key Words: Type 2 diabetes mellitus, Carcinoembryonic antigen, Cancer antigen 199, Cancer antigen 242, Glycosylated hemoglobin

Core Tip: Levels of serum cancer antigen (CA)199, carcinoembryonic antigen (CEA), and CA242 demonstrated close association with glycosylated hemoglobin (HbA1c) and fasting blood glucose levels in patients with type 2 diabetes mellitus. Furthermore, CA199 and CEA levels had good predictive power for HbA1c levels. These findings suggest the need for monitoring tumor marker changes in those with poorly controlled blood sugar levels.

INTRODUCTION

In China, an aging population and lifestyle changes have transformed diabetes from a rare disease to an epidemic over the past four decades. The global number of individuals aged ≥ 18 years affected by diabetes is projected to increase from 425 million in 2017 to 629 million in 2045, with type 2 diabetes mellitus (T2DM) accounting for > 90% of the diabetic population[1]. Long-term hyperglycemia in patients with T2DM can cause oxidative stress-, inflammation-, and vascular endothelial function-related damage. Recent studies have highlighted the association between diabetes and cancer, demonstrating that patients with T2DM are significantly more likely to develop malignant tumors than the general population[2]. Patients with tumors may experience significant changes in the blood sugar levels during therapy. Moreover, diabetes can cause levels of specific serum tumor markers to spike. Although carcinoembryonic antigen (CEA), cancer antigen (CA)199, and CA242 are used to diagnose tumors[3], the correlation between their expression levels and blood glucose levels in patients with T2DM remains unknown.

Considering these findings, the precise relationship between the levels of tumor markers (CEA, CA199, and CA242) and T2DM needs a thorough investigation. This study aimed to address the overarching question: “What is the relationship between the expression levels and clinical significance of serum tumor markers (CEA, CA199, and CA242) in patients with T2DM?” Addressing this question is crucial for enhancing early tumor screening and improving prognostic evaluation, potentially contributing to improved clinical outcomes and management strategies for patients with T2DM and comorbid cancer conditions.

MATERIALS AND METHODS

Sample size calculation

The sample size calculation for this study was based on the anticipated difference in tumor marker levels (CA199, CA242, and CEA) between patients with T2DM and the control group. Assuming a medium effect size (d = 0.5), a significance level (α) of 0.05, and a desired power of 80%, the sample size was estimated using the G*Power software. Based on these parameters, ≥ 46 participants were needed in each group. Assuming a 10% loss of data or exclusion, a minimum of 51 participants in each group was deemed necessary. Finally, 82 patients with T2DM and 51 controls were enrolled in this study.

The inclusion criteria set for this study were as follows: (1) Age ≥ 18 years; (2) patients who met the T2DM diagnostic criteria established by the guidelines for the prevention and treatment of type 2 diabetes in China (2020 Edition) formulated by the diabetes branch of the Chinese Medical Association; these included newly diagnosed patients and previously diagnosed patients with poor blood glucose control; and (3) those who or whose families provided informed consent. The exclusion criteria were as follows: (1) Patients with heart, liver, kidney and lung dysfunction, acute diabetic complications, infectious diseases, autoimmune diseases, acute and chronic inflammatory reactions, and malignant tumors; (2) patients on long-term glucocorticoid therapy, given the effect of these medications on blood sugar and lipid levels; (3) pregnant or lactating women; (4) patients with acute and chronic pancreatitis, liver cirrhosis, hepatitis, colitis, gallstones, and obstructive jaundice, given that these conditions can cause benign elevation of serum CA199 or CEA levels; and (5) patients with incomplete clinical information or inaccurate data.

General information

We recruited 82 patients (47 men) with T2DM from BOE Technology Hospital in Hefei between April 2019 and December 2020. All patients were diagnosed with diabetes according to the 1999 World Health Organization diagnostic criteria. During the same period, 51 individuals (27 men) who underwent health examinations at our hospital's health examination center were selected as the control group. The median age was 59.5 (26–81) years in the T2DM group and 46 (27–68) years in the control group. Table 1, summarizing the general characteristics of the two groups indicates no significant inter-group differences. The exclusion criteria for the control group were as follows: (1) Individuals with type 1 diabetes, acute metabolic disorders associated with diabetes (such as ketoacidosis and hyperosmolar state), acute stroke, acute and chronic infections, thyroid disease, and cardiac insufficiency; (2) those with severe liver and kidney dysfunction; (3) those with acute and chronic hepatitis, alcoholic liver disease, cirrhosis, gallstone, pancreatitis, chole-cystitis, and other digestive system diseases; (4) those with tumors; and (5) pregnant women. The study protocol was approved by the Medical Ethics Committee and participants provided written informed consent.

Table 1 General characteristics was compared between two groups.

Variables	Control group (n = 51)	T2DM group (n = 82)	χ2/Z/t value	P value
Gender (male/female)	27/24	47/35	0.244	0.621
Age (yr)	57.98 ± 11.72	59.02 ± 11.58	0.503	0.616
ALT (U/L)	18.40 (13.20, 28.30)	18.75 (13.48, 30.93)	0.558	0.577
AST (U/L)	18.80 (11.80, 30.10)	16.25 (12.48, 24.80)	0.694	0.488
SUA (mmol/L)	312.51 ± 119.36	306.20 ± 102.97	0.323	0.747
Cre (mmol/L)	68.36 ± 27.54	70.16 ± 28.67	0.357	0.721
HbA1c (%)	5.30 (4.30, 6.60)	9.30 (8.18, 11.13)	9.013	0
FBG (mmol/L)	4.46 ± 0.89	10.08 ± 4.30	9.199	0
BMI (kg/m2)	25.15 ± 4.28BMI	25.55 ± 3.40	0.602	0.548
LDL-C (mmol/L)	2.30 (1.90, 3.30)	2.34 (1.94, 3.23)	0.201	0.84
TG (mmol/L)	1.40 (1.10, 2.30)	1.81 (1.09, 2.68)	1.581	0.144
TC (mmol/L)	4.45 ± 1.39	4.46 ± 1.29	0.049	0.961

T2DM: Type 2 diabetes mellitus; ALT: Alanine transaminase; AST: Aspartate transaminase; SUA: Serum uric acid; Cre: Creatinine; HbA1c: Glycosylated hemoglobin; FBG: Fasting blood sugar; BMI: Body mass index; LDL-C: Low-density lipoprotein cholesterol; TG: Triglycerides; TC: Total cholesterol.

Methods

Upon admission, the body mass index (BMI) was calculated by measuring the patient height and weight and collecting venous blood after an overnight fast. The levels of alanine transaminase (ALT), aspartate transaminase (AST), creatinine, serum uric acid, fasting blood glucose (FBG), triglycerides, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and serum tumor markers CEA, CA199, and CA242 were determined using the Roche Cobas8000 biochemical immune assembly line and the corresponding test kits. The methods for measuring the parameters were as follows: FBG, hexokinase; ALT, IFCC; AST, colorimetric; serum uric acid, colorimetric; creatinine-enzyme; triglycerides, colorimetric; TC, enzyme colorimetric; LDL-C, selective clearance; CEA (normal value < 6.5 ng/mL) and CA199 (normal value < 35 U/mL), electrochemical luminescence; and CA242 (normal value < 20 U/mL), chemiluminescence immunoassay. Glycosylated hemoglobin (HbA1c) levels were measured using a Dongcao G8 glycated hemoglobin instrument and the corresponding detection kit. All patients underwent routine abdominal ultrasonography and chest imaging [radiograph/computed tomography (CT)]. Further examinations were performed for patients with suspected tumors including CT, magnetic resonance imaging, and gastroscopy.

Statistical analysis

Statistical analyses were performed using SPSS 19.0 software. For normally distributed quantitative data, t-tests were used for comparisons, and the data are presented as mean ± SD. The Mann–Whitney rank-sum test and Spearman correlation analysis were used for skewed distribution data. A binary logistic regression analysis was conducted using FBG, HbA1c, CEA, CA199, and CA242 as independent variables to assess their predictive value for the occurrence of T2DM. The receiver operating curve (ROC) analysis was performed for variables with significant differences. Statistical significance was set at P < 0.05.

RESULTS

Inter-group comparison of general characteristics

The results revealed no significant differences in the levels of liver and kidney function indicators, lipid metabolism-related indicators (AST, ALT, uric acid, creatinine, BMI, LDL-C, and TC), age, and sex distribution (P > 0.05). However, HbA1c and FBG levels were higher in the T2DM group compared to the control group (P < 0.05; Table 1).

Inter-group comparison of CEA, CA199, and CA242 levels

CEA and CA199 levels were significantly higher in the T2DM group than in the control group (P < 0.001). Although CA242 levels were also elevated in the T2DM group, the difference was statistically insignificant (P = 0.068; Table 2).

Table 2 Comparison of carcinoembryonic antigen, cancer antigen 199, cancer antigen 242 between two groups.

Variables	Control group (n = 51)	T2DM group (n = 82)	Z value	P value
CEA	2.10 (1.40, 2.70)	2.70 (1.90, 3.65)	3.279	0.000
CA199	7.60 (4.40, 10.10)	11.30 (5.57, 22.13)	3.976	0.000
CA242	6.10 (3.10, 6.90)	6.25 (4.13, 9.20)	0.891	0.373

CA: Cancer antigen; CEA: Carcinoembryonic antigen.

Logistic regression to analyze risk factors for T2DM

We investigated the association between T2DM incidence as the dependent variable and the following independent variables: FBG, HbA1C, CEA, CA199, and CA242 using a binary logistic regression analysis. T2DM occurrence was categorized as 0 (did not occur) and 1 (occurred). The results were optimized using a stepwise backward elimination method. Our findings indicated FBG [odds ratio (OR) = 43.173, 95% confidence interval (95%CI): 1.513–6.658], HbA1C (OR = 4.560, 95%CI: 1.914–10.863), CEA (OR = 1.366, 95%CI: 1.024–1.822), and CA199 (OR = 1.035, 95%CI: 1.013–1.057) as independent risk factors for the onset of T2DM, all with P values < 0.05 (Table 3).

Table 3 Multivariate logistic regression analysis of factors associated with the onset of type 2 diabetes mellitus.

Factors	β value	SE	Wald	P value	OR	95%CI
FBG	1.155	0.378	9.330	0.002	3.173	1.513-6.658
HBA1C	1.517	0.443	11.739	0.001	4.560	1.914-10.863
CEA	0.312	0.147	4.505	0.034	1.366	1.024-1.822
CA199	0.034	0.011	9.554	0.002	1.035	1.013-1.057
CA242	0.145	0.115	1.585	0.208	1.156	0.923-1.448

FBG: Fasting blood sugar; HbA1c: Glycosylated hemoglobin; CA: Cancer antigen; CEA: Carcinoembryonic antigen; OR: Odds ratio; 95%CI: 95% confidence interval.

Comparison of general clinical characteristics and tumor markers among patients with diabetes with varying HbA1c percentages

Based on an HbA1c threshold value of 9%, patients with diabetes were divided into two groups: Groups A (HbA1c ≤ 9%) and B (HbA1c > 9%). Age, liver and kidney function, and lipid metabolism were compared between the two groups. The results indicated no statistical differences in age, sex, disease course, liver and kidney function, or lipid metabolism-related indicators between the two groups (P > 0.05). However, group B had higher serum uric acid, FBG, CEA, and CA199 levels than group A (P < 0.05; Table 4).

Table 4 Comparison of general clinical characteristics and tumor marks of different glycosylated hemoglobin % diabetes patients.

Variables	Group A (HbA1c ≤ 9%) (n = 37)	Group B (HbA1c > 9%) (n = 45)	t/Z value	P value
Age (yr)	60.08 ± 9.58	58.16 ± 13.05	0.747	0.457
Gender (male/female)	21/16	26/19	0.009	0.926
Course of disease (yr)	6 (3.00, 10.50)	9 (4, 15.00)	1.627	0.104
BMI (kg/m2)	26.09 ± 2.66	25.11 ± 3.88	1.349	0.181
FBG (mmol/L)	8.41 ± 2.79	11.46 ± 4.84	3.386	0.001
LDL-C (mmol/L)	2.33 (1.93, 3.02)	2.38 (1.94, 3.32)	0.680	0.496
TG (mmol/L)	2.00 (1.23, 3.01)	1.57 (0.96, 2.61)	1.142	0.254
TC (mmol/L)	4.54 ± 1.02	4.40 ± 1.48	0.494	0.623
Cre (umol/L)	71.07 ± 19.33	69.40 ± 34.72	0.261	0.795
SUA (umol/L)	333.64 ± 99.56	283.64 ± 101.27	2.242	0.028
ALT (U/L)	17.30 (12.65, 28.75)	19.90 (14.05, 31.45)	0.778	0.437
CEA (ng/mL)	1.90 (1.20, 2.60)	3.40 (2.60, 5.25)	5.488	0.000
CA199 (U/mL)	7.60 (4.15, 10.60)	21.00 (11.85, 26.85)	4.795	0.000
CA242 (U/mL)	5.90 (3.85, 7.15)	6.50 (4.80, 9.30)	1.622	0.105

HbA1c: Glycosylated hemoglobin; BMI: Body mass index; FBG: Fasting blood sugar; LDL-C: Low-density lipoprotein cholesterol; TG: Triglycerides; TC: Total cholesterol; Cre: Creatinine; SUA: Serum uric acid; ALT: Alanine transaminase; CA: Cancer antigen; CEA: Carcinoembryonic antigen.

ROCs of CEA and CA199

The area under the ROC curve (AUC) was calculated for both CEA and CA199 markers. For CEA, the AUC (95%CI) was identified to be 0.853 (0.774–0.933, P < 0.001; Figure 1). For CA199, the AUC (95%CI) was identified to be 0.809 (0.709–0.909, P < 0.001; Figure 1).

Figure 1 The receiver operating curve for carcinoembryonic antigen and cancer antigen 199. CA: Cancer antigen; CEA: Carcinoembryonic antigen.

Correlation analysis of CEA, CA199, and CA242 levels with HbA1c, FBG, and lipid metabolism in patients with diabetes

The results demonstrated a positive correlation between serum CA199, CEA, and CA242 levels and HbA1c levels with correlation coefficients of 0.308, 0.426, and 0.551, respectively (P < 0.001; Table 5) and FBG with correlation coefficients of 0.236, 0.231, and 0.298, respectively (P < 0.05; Table 5).

Table 5 Correlation analysis of carcinoembryonic antigen, cancer antigen 199, cancer antigen 242 levels with glycosylated hemoglobin, fasting blood sugar and lipid metabolism in diabetes patients.

Variables	CEA		CA199		CA242
	r value	P value	r value	P value	r value	P value
HbA1c	0.308	0.000	0.426	0.000	0.551	0.000
FBG	0.236	0.033	0.231	0.037	0.298	0.006
LDL-C	0.138	0.216	0.238	0.032	0.240	0.030
TG	0.136	0. 222	0.105	0.346	0.051	0.649
TC	0.077	0.494	0.171	0.125	0.149	0.183

HbA1c: Glycosylated hemoglobin; FBG: Fasting blood sugar; LDL-C: Low-density lipoprotein cholesterol; TG: Triglycerides; TC: Total cholesterol.

DISCUSSION

Epidemiological studies have demonstrated that the risk of certain malignancies, including hepatoma, hepatocellular carcinoma, colorectal cancer, and bladder cancer, is high in patients with T2DM[4,5]. This relationship may be attributed to long-term elevated blood glucose levels, insulin resistance, or changes in insulin-like growth factors, although the specific mechanisms remain unclear. Tumor markers, including CEA, CA199, and CA242, are mostly used for laboratory diagnosis of tumors. In patients with T2DM, chronic inflammatory lesions of beta cells in the pancreatic islets and long-term glucotoxicity and lipotoxicity can exacerbate chronic inflammation or hyperplasia of the pancreas. This process destroys normal pancreatic tissue, with subsequent replacement by adipocytes and fibrous connective tissue. Additionally the aforementioned process results in a significant release of CA199 into the bloodstream[6]. Furthermore, high blood sugar levels can affect free radical generation, increasing oxidative stress. Severe oxidative stress and high blood sugar levels may contribute to increased CEA expression[7]. Additionally, the replacement of normal pancreatic tissue by fat cells or fibrous connective tissue leads to the deposition of amyloid substances in pancreatic islet cells, followed by tissue destruction, cell degeneration, and necrosis. Hyperglycemia further exacerbates these pathological changes, releasing glycoprotein components, including CA242, into the bloodstream[8].

This study comprehensively examined tumor markers in patients with T2DM and healthy control groups. The levels of CEA and CA199 were higher in patients with T2DM than in healthy controls, indicating that blood glucose levels may be involved in the increase of serum CEA and CA199 levels, which is consistent with the findings of Lipinski et al[9]. Pancreatic tissue is affected by diabetes, which is considered an important factor that leads to a false increase in serum CA199 levels. Although the CA242 levels did not significantly differ between the two groups in this study, caution is advised when drawing conclusions owing to the limited sample size. In patients with T2DM and poorly controlled blood glucose levels, a benign increase in the concentration of CA199 and CEA can occur, which does not necessarily indicate the presence of malignant tumors. The benign increase in tumor marker CA199 and CEA levels in patients with poor blood glucose control can be attributed to “glucotoxicity” damage. However, whether this increase leads to malignant tumor development cannot be determined. Therefore, patients must actively control their blood glucose levels to avoid further increases in CA199 and CEA levels[10], thereby reducing the risk of developing malignant tumors. Similarly, the slight increase in serum CA199 and CEA levels may be due to glucose metabolism disorders in patients with diabetes. Hence, increasing the cutoff value for the “normal” levels of CA199 and CEA may be necessary, for distinguishing benign digestive tract diseases from malignant digestive tract tumors in patients with diabetes.

HbA1c has a marked effect in promoting CA199 and CEA elevation, providing insight into blood sugar control during the previous 3 months in patients[11,12]. In this study, patients with diabetes were divided into two subgroups based on their HbA1c levels. CEA and CA199 levels in Group B (HbA1c > 9%) patients were significantly different from those in Group A (HbA1c ≤ 9%) patients, with positive correlations observed between serum CA199, CEA, CA242, and HbA1c levels. Notably, the positive correlation between serum CA199 and HbA1c levels in T2DM has been demonstrated previously[13]. Furthermore, we observed that LDL-C levels positively correlated with CA199 levels. Increased HbA1c levels can lead to tissue hypoxia, elevated plasma low-density lipoprotein levels, tissue collagen glycosylation, increased blood viscosity, blood stasis, abnormal anticoagulation mechanisms, and enhanced production of free radicals. Moreover, these factors can collectively cause pancreatic tissue damage, leading to elevated CA199 levels[14]. The significant relationship between increased serum CA199 and CEA and HbA1c levels in patients with T2DM underscores the diagnostic value of CA199 and CEA levels for HbA1c percentage. Hence, when clinically using CA199 and CEA to identify malignant tumors in patients with T2DM, hypoglycemic treatment should be prioritized to stabilize blood sugar levels before tumor marker detection and observation[15].

This study also observed an outstanding dependence between CEA and CA199 levels and hyperglycemia, indicating that CEA and CA199 may be related to poor blood sugar and lipid control. Previous studies have displayed that elevated CEA levels are associated with oxidative stress, which can be induced by high blood sugar levels[16]. However, increased FBG levels in patients with T2DM may contribute to upregulated CEA and CA199 expression, which could be significantly associated with a high incidence of pancreatic cancer in these patients[17]. Repetitive injury to pancreatic tissue caused by chronic glucose toxicity may be a major factor contributing to the occurrence and progression of pancreatic cancer. Active blood sugar control and early screening for pancreatic cancer could potentially reduce the risk of malignant tumors in such patients[18]. Additionally, CA199 and CEA have high diagnostic values for digestive system tumors and also demonstrate certain diagnostic values for T2DM.

Although our study highlights the association between elevated CEA, CA199, and CA242 levels and T2DM, the broad clinical implications are paramount. In a real-world setting, these tumor markers could be early indicators for potential complications in patients with T2DM. Regular monitoring of these markers could provide clinicians with actionable insights, aiding in therapeutic decisions and possibly leading to timely interventions. The correlation of these markers with metabolic indicators, such as HbA1c and FBG, further positions them as potential prognostic tools in T2DM management. As our understanding of T2DM deepens, these markers may emerge as vital tools in refining clinical strategies and bridging the gap between epidemiological data and hands-on patient care.

Some limitations of this study should be considered. A limited extrapolation of results could occur owing to all the study samples being from the same center. Furthermore, considering the relatively small sample size, a cautious interpretation of results is warranted.

CONCLUSION

Our study detected elevated serum CEA and CA199 levels in patients with T2DM. Additionally, CA199, CEA, and CA242 levels showcased significant correlations with HbA1c and FBG levels. These findings transcend mere epidemiological associations. In the clinical context, the elevated levels of the aforementioned tumor markers in patients with T2DM could indicate potential underlying pathologies or complications. Incorporating routine CA199, CEA, and CA242 assessments in patients with T2DM care might provide clinicians with valuable insights, aiding in therapeutic decisions, especially for those struggling with blood sugar management. Such proactive monitoring could lead to timely interventions, potentially mitigating complications and improving patient outcomes. As our understanding of these markers in the T2DM landscape improves, they might emerge as pivotal tools in refining patient management strategies and improving overall care.

ARTICLE HIGHLIGHTS

Research background

Glucose and lipid metabolic disorder in patients with type 2 diabetes mellitus (T2DM) is closely related to the level of serum tumor markers [such as cancer antigen (CA)199] in the digestive tract. Therefore, tumor markers of T2DM are important.

Research motivation

To assess the expression and clinical significance of serum tumor markers [CA199, CA242, and carcinoembryonic antigen (CEA)] in T2DM.

Research objectives

To study the expression of serum tumor markers (CA199, CA242, and CEA) and its clinical implications in T2DM.

Research methods

We conducted an observational study at Hefei BOE Hospital, Anhui, China, between April 2019 and December 2020 and enrolled 82 patients with first-onset T2DM and 51 controls. Levels of fasting blood glucose (FBG), tumor markers (CA199, CEA, and CA242), glycosylated hemoglobin (HbA1c), and other metabolic indicators were measured and group index levels were compared. FBG and HbA1c levels were correlated with tumor marker levels. Tumor markers were tested for diagnostic accuracy in patients with high HbA1c (> 9%) using the receiver operating curve (ROC) curve.

Research results

Compared to the control group, the T2DM group had higher serum FBG, HbA1c, CA199, and CEA levels (P < 0.05). A comparative analysis of the two groups based on HbA1c levels (Group A: HbA1c ≤ 9%; Group B: HbA1c > 9%) revealed significant differences in CEA and CA199 levels (P < 0.05). The areas under the ROC curve for CEA and CA199 were 0.853 and 0.809, respectively. Moreover, CA199, CEA, and CA242 levels were positively correlated with HbA1c (r = 0.308, 0.426, and 0.551, respectively) and FBG (r = 0.236, 0.231, and 0.298, respectively) levels.

Research conclusions

Serum CEA and CA199 levels were high in patients with T2DM. HbA1c and FBG levels correlated with CA199, CEA, and CA242 levels. Patients with poorly controlled blood sugar levels require tumor marker screening.

Research perspectives

Serum CEA and CA199 levels were higher in patients with T2DM than in controls. HbA1c and FBG levels correlated with CA199, CEA, and CA242 levels.