Serum carcinoembryonic antigen as a tumour marker in patients with endometrial cancer

Integration of pretreatment tumor markers in a nomogram model for prognostic prediction of FIGO stage I endometrial cancer: A multi-institutional cohort study

OBJECTIVE

Traditionally, the prognosis of patients with FIGO stage I endometrial cancer is determined by clinicopathological risk factors. In this study, we assessed the potential contribution of pretreatment carcinoembryonic antigen (CEA) and carbohydrate antigen-125 (CA-125) levels to estimating the prognosis of these patients and aimed to develop and validate a prognostic nomogram.

METHODS

This retrospective study included patients with FIGO stage I endometrial cancer who underwent treatment between January 2009 and December 2021 in the four institutes of Chang Gung Memorial Hospital. To identify optimal cutoff values of CEA and CA-125 for predicting survival, receiver operating characteristic (ROC) curves were generated, the Kaplan-Meier method was used to estimate survival, and a Cox regression model was used to analyze the independent prognostic factors. Finally, a nomogram and calibration curve were constructed to predict patient survival probability.

RESULTS

Of the 1559 patients evaluated, the optimal cutoff values of CEA and CA-125 were 1.44 ng/mL (area under the ROC curve [AUC] 0.601) and 39.77 U/mL (AUC 0.503), respectively. Multivariate Cox regression analysis showed that pretreatment CEA (hazard ratio [HR] 2.11, 95% confidence interval [95% CI] 1.35-3.28), CA-125 (HR 2.07, 95% CI 1.31-3.27), age >70 years (HR 12.54, 95% CI 5.05-31.11), myometrial invasion >50% (HR 1.69, 95% CI 1.03-2.73), non-endometrioid histology (HR 1.83, 95% CI 1.14-2.95), high-grade tumor (HR 2.41, 95% CI 1.46-3.97), and lymphovascular space invasion (HR 2.32, 95% CI 1.26-4.25) were significant variables associated with overall survival. These factors were used to construct the nomogram model, which showed good concordance and accuracy.

CONCLUSIONS

Integration of pretreatment CEA and CA-125 in a prognostic nomogram is feasible. Our prediction model has the potential to assist clinicians in guiding appropriate clinical practice.

Use of clinical variables for preoperative prediction of lymph node metastasis in endometrial cancer

OBJECTIVE

Endometrial cancer is the most common gynaecological cancer, and most patients are identified during early disease stages. Noninvasive evaluation of lymph node metastasis likely will improve the quality of clinical treatment, for example, by omitting unnecessary lymphadenectomy.

METHODS

The study population comprised 611 patients with endometrial cancer who underwent lymphadenectomy at four types of institutions, comprising seven hospitals in total. We systematically assessed the association of 18 preoperative clinical variables with postoperative lymph node metastasis. We then constructed statistical models for preoperative lymph node metastasis prediction and assessed their performance with a previously proposed system, in which the score was determined by counting the number of high-risk variables among the four predefined ones.

RESULTS

Of the preoperative 18 variables evaluated, 10 were significantly associated with postoperative lymph node metastasis. A logistic regression model achieved an area under the curve of 0.85 in predicting lymph node metastasis; this value is significantly higher than that from the previous system (area under the curve, 0.74). When we set the false-negative rate to ~1%, the new predictive model increased the rate of true negatives to 21%, compared with 6.8% from the previous one. We also provide a spreadsheet-based tool for further evaluation of its ability to predict lymph node metastasis in endometrial cancer.

CONCLUSIONS

Our new lymph node metastasis prediction method, which was based solely on preoperative clinical variables, performed significantly better than the previous method. Although additional evaluation is necessary for its clinical use, our noninvasive system may help improve the clinical treatment of endometrial cancer, complementing minimally invasive sentinel lymph node biopsy.

Preoperative serum tissue factor pathway inhibitor‑2 level as a prognostic marker for endometrial cancer

Advanced endometrial cancer (EC) often recurs and has a poor prognosis. Various serum markers have been used for EC but their usefulness as biomarkers is still unclear; therefore, identifying new biomarkers is important. The present study aimed to investigate whether the tissue factor pathway inhibitor-2 (TFPI2) level was elevated in the preoperative serum of patients with EC and if it may be a prognostic factor. The present retrospective study included 207 patients who had a confirmed pathological diagnosis of EC and received surgical therapy as the initial treatment between January 2011 and December 2017. Survival analysis was performed using Kaplan-Meier analysis and the Cox proportional hazards regression model. The 5-year disease-free survival and overall survival (OS) rates were 73.3 and 83.7%, respectively. The cut-off value for predicting OS for TFPI2 level was 177 pg/ml as determined from the receiver operating characteristic curve. A TFPI2 value ≥177 pg/ml was significantly associated with age ≥65 years (P<0.001), diabetes (P=0.035), stage (P<0.001), myometrial invasion (P<0.001), lymphovascular invasion (P=0.004), lymph node metastasis (P=0.010), distant metastasis (P<0.001), cancer antigen (CA) 125 ≥36 U/ml (P<0.001) and CA 19-9 ≥38 U/ml (P<0.001). In multivariate analysis, high-grade carcinoma [hazard ratio (HR), 2.439; P=0.041], lymph node metastasis (HR, 2.116; P=0.038), distant metastasis (HR, 3.604; P=0.009) and TFPI2 level ≥177 pg/ml (HR, 2.42; P=0.043) were significant prognostic factors affecting OS in patients with EC. These results suggest that the preoperative serum TFPI2 level, along with its histological type, lymph node metastasis and distant metastasis, was a prognostic factor for OS in patients with endometrial cancer.

Pretreatment carcinoembryonic antigen combined with cancer antigen-125 for predicting lymph node metastasis in endometrial carcinoma: a retrospective cohort study

PURPOSE

To investigate whether the cost-effective, pretreatment tumor markers carcinoembryonic antigen (CEA) and carbohydrate antigen-125 (CA-125) can be used to predict lymph node metastasis (LNM) in endometrioid-type endometrial cancer (EC) and to develop a predictive model.

METHODS

This was a single-center retrospective study of patients with endometrioid-type EC who underwent complete staging surgery between January 2015 and June 2022. We identified the optimal cut-off values of CEA and CA-125 for predicting LNM using receiver operating characteristic (ROC) curves. Stepwise multivariate logistic regression analysis was used to identify independent predictors. A nomogram for predicting LNM was constructed and validated by bootstrap resampling.

RESULTS

The optimal cut-off values of CEA and CA-125 were 1.4 ng/mL (area under the ROC curve (AUC) 0.62) and 40 U/mL (AUC 0.75), respectively. Multivariate analysis showed that CEA (odds ratio (OR) 1.94; 95% confidence interval (CI) 1.01-3.74) and CA-125 (OR 8.75; 95% CI 4.42-17.31) were independent predictors of LNM. Our nomogram showed adequate discrimination with a concordance index of 0.78. Calibration curves for the probability of LNM showed optimal agreement between the predicted and actual probabilities. The risk of LNM for markers below the cut-offs was 3.6%. The negative predictive value and negative likelihood ratio were 96.6% and 0.26, respectively, with moderate ability to rule out the possibility of LNM.

CONCLUSION

We report a cost-effective method of using pretreatment CEA and CA-125 levels to identify patients with endometrioid-type EC who are at a low risk for LNM, which may guide decision-making regarding aborting lymphadenectomy.

Utility of atherosclerosis-associated serum antibodies against colony-stimulating factor 2 in predicting the onset of acute ischemic stroke and prognosis of colorectal cancer

Introduction

Autoantibodies against inflammatory cytokines may be used for the prevention of atherosclerosis. Preclinical studies consider colony-stimulating factor 2 (CSF2) as an essential cytokine with a causal relationship to atherosclerosis and cancer. We examined the serum anti-CSF2 antibody levels in patients with atherosclerosis or solid cancer.

Methods

We measured the serum anti-CSF2 antibody levels via amplified luminescent proximity homogeneous assay-linked immunosorbent assay based on the recognition of recombinant glutathione S-transferase-fused CSF2 protein or a CSF2-derived peptide as the antigen.

Results

The serum anti-CSF2 antibody (s-CSF2-Ab) levels were significantly higher in patients with acute ischemic stroke (AIS), acute myocardial infarction (AMI), diabetes mellitus (DM), and chronic kidney disease (CKD) compared with healthy donors (HDs). In addition, the s-CSF2-Ab levels were associated with intima-media thickness and hypertension. The analyzes of samples obtained from a Japan Public Health Center-based prospective study suggested the utility of s-CSF2-Ab as a risk factor for AIS. Furthermore, the s-CSF2-Ab levels were higher in patients with esophageal, colorectal, gastric, and lung cancer than in HDs but not in those with mammary cancer. In addition, the s-CSF2-Ab levels were associated with unfavorable postoperative prognosis in colorectal cancer (CRC). In CRC, the s-CSF2-Ab levels were more closely associated with poor prognosis in patients with p53-Ab-negative CRC despite the lack of significant association of the anti-p53 antibody (p53-Ab) levels with the overall survival.

Conclusion

S-CSF2-Ab was useful for the diagnosis of atherosclerosis-related AIS, AMI, DM, and CKD and could discriminate poor prognosis, especially in p53-Ab-negative CRC.

Application of CuS/Au Heterostructure with peroxidase-like activity in immunosensors

Early detection of tumour markers is essential for the timely treatment of cancer to realise the sensitive detection of Carcinoembryonic antigen (CEA). We chose electrochemical immunosensor as a simple analytical...

The effect of canceroembryonic antigen on cytokine production by immunocompetent blood cells in patients with breast cancer

Aim. Investigation of the influence of canceroembryonic antigen (CEA) on the immune cells in patients with breast tumors.

Materials and methods. Peripheral blood of 67 patients with invasive ductal carcinoma (n = 44), fibroadenoma (n = 12) and breast pre-cancer (n = 11). In the supernatants of the blood cells cytokine production induced by CEA was determined by ELISA.

Results.It was found that CEA stimulated production of IL-6, IL-8, IL-10, IL-1β, IL-1Ra, TNFα, G-CSF, GM-CSF and the protein MCP-1 by blood immune cells in patients with fibroadenoma compared with groups of patients with invasive ductal carcinoma and precancerous lesions. Stimulation index of CEA on cytokine production by immunocompetent cells in patients in these groups was lower than in groups of patients with fibroadenoma due to initially high levels of spontaneous cytokine production.

Results.  In  patients  with  fibroadenoma  CEA  was  found  to  stimulate  the  production  of  IL-6,  IL-8,  IL-10,  IL-1β,  IL-1Ra,  TNFa,  G-CSF,  GM-CSF  and  MCP-1  compared  with  groups  of  patients  with  invasive ductal carcinoma and precancerous conditions. Indexes of the influence of CEA on cytokine production by immunocompetent cells in these groups was lower than in the fibroadenoma due to initially high spontaneous production of cytokines.

Conclusion.  Evident  spontaneous  cytokine-producing  function  of  immunocompetent  blood  cells  was revealed in patients with invasive ductal carcinoma and precancerous conditions compared to patients with fibroadenoma.  The  differences  between  the  indices  of  CEA  influence  on  cytokine  production  in  patients with malignant, benign and precancerous conditions can serve as a basis for the development of methods of differential diagnosis of breast tumors.

Single- and two-photon imaging of human micrometastases and disseminated tumour cells with conjugates of nanobodies and quantum dots

Early detection of malignant tumours and, especially, micrometastases and disseminated tumour cells is still a challenge. In order to implement highly sensitive diagnostic tools we demonstrate the use of nanoprobes engineered from nanobodies (single-domain antibodies, sdAbs) and fluorescent quantum dots (QDs) for single- and two-photon detection and imaging of human micrometastases and disseminated tumour cells in ex vivo biological samples of breast and pancreatic metastatic tumour mouse models expressing human epidermal growth factor receptor 2 (HER2) or carcinoembryonic antigen (CEA). By staining thin (5–10 µm) paraffin and thick (50 µm) agarose tissue sections, we detected HER2- and CEA-positive human tumour cells infiltrating the surrounding tissues or metastasizing to different organs, including the brain, testis, lung, liver, and lymph nodes. Compared to conventional fluorescently labelled antibodies the sdAb-HER2-QD and sdAb-CEA-QD nanoprobes are superior in detecting micrometastases in tissue sections by lower photobleaching and higher brightness of fluorescence signals ensuring much better discrimination of positive signals versus background. Very high two-photon absorption cross-sections of QDs and small size of the nanoprobes ensure efficient imaging of thick tissue sections unattainable with conventional fluorescent probes. The nanobody–QD probes will help to improve early cancer diagnosis and prognosis of progression by assessing metastasis.

HbA1c is Positively Associated with Serum Carcinoembryonic Antigen (CEA) in Patients with Diabetes: A Cross-Sectional Study

INTRODUCTION

To explore the influence of glycemic levels on the serum carcinoembryonic antigen (CEA) levels in patients with diabetes.

METHODS

This is a cross-sectional study. Patients with diabetes aged 18-75 years old were recruited. Those patients with carcinoma, abnormal renal function (serum creatinine ≥ 115 μmol/l), and abnormal hepatic function (serum alanine aminotransferase ≥ 97.5 U/l) were excluded in this study. Blood samples were obtained from every patient after an overnight fasting, and CEA was determined using a chemiluminescent particle immunoassay.

RESULTS

A total of 324 patients with type 1 diabetes and 3019 patients with type 2 diabetes were included in this study. Patients with type 1 diabetes had higher levels of HbA1c (9.5% vs. 8.7%) and CEA (2.79 vs. 2.34 ng/ml), but lower fasting C peptide (0.72 vs. 1.71 ng/ml) than those with type 2 diabetes (all P < 0.001). Data indicated that CEA was higher in patients with smoking, drinking, older age, higher levels of HbA1c, and lower level of fasting C peptide (all P < 0.05). Multiple linear regression analysis indicated that CEA was independently associated with smoking, age, BMI, and HbA1c (all P < 0.05).

CONCLUSION

HbA1c was positively associated with the levels of CEA in patients with diabetes. More studies are warranted to investigate whether elevated CEA is associated with increased carcinoma risk in patients with diabetes.

Pre-operative to post-operative serum carcinoembryonic antigen ratio is a prognostic indicator in colorectal cancer

We explored the prognostic significance of the pre-operative-to-post-operative serum carcinoembryonic antigen (pre-post-CEA) ratio in colorectal cancer (CRC). We detected pre- and post-operative CEA levels in 2035 CRC patients surgically treated at First Affiliated Hospital of Zhengzhou University between June 2001 and June 2011. Univariate analysis revealed the pre-post-CEA ratio is associated with distant metastasis and degree of tumor differentiation (both P < 0.05). Multivariate analysis showed that the pre-post-CEA ratio is associated with lymphatic and distant metastasis, tumor-node-metastasis (TNM) stage and degree of tumor differentiation (all P < 0.01). The pre-CEA levels, pre-post-CEA ratios, distant metastasis, TNM stage and degree of tumor differentiation were all associated with 5-yr overall survival (all P < 0.05) based on multivariate analysis. Consequently, pre-CEA levels, pre-post-CEA ratios, distant metastasis and TNM stage are independent risk factors for CRC. We have thus demonstrated that the pre-post-CEA ratio is a prognostic indicator for CRC patients.