Literature DB >> 34326667

Risk Factors and Their Diagnostic Values for Ocular Metastases in Gastric Adenocarcinoma.

Yue Chen1, Yan-Chang Yang2, Li-Ying Tang3, Qian-Min Ge4, Wen-Qing Shi1,4, Ting Su3,5, Hui-Ye Shu1,4, Yi-Cong Pan1,4, Rong-Bin Liang4, Qiu-Yu Li4, Yi Shao4.   

Abstract

OBJECTIVE: Gastric adenocarcinoma originates from the glands in the superficial layer or mucosa of the stomach. It is prone to metastases, of which ocular metastasis (OM) is rare, but once it occurs the disease is considered more serious. The aim of this study was to investigate the risk factors for OM in gastric adenocarcinoma.
METHODS: Patients with gastric adenocarcinoma were recruited to this study between June 2003 and July 2019. Demographic data and serological indicators (SI) were compared between patients with and without OM, and binary logistic regression was used to explore whether the relevant SI may be risk factors for OM of gastric adenocarcinoma. Receiver operating characteristic (ROC) curves were used to analyze different SIs for OM in gastric cancer patients.
RESULTS: Chi-square tests showed significant between-groups difference in gender composition (P < 0.05), but not in age or histological grade (P > 0.05). t-test results showed that low-density lipoprotein (LDL) and carbohydrate antigen-724 (CA724) were significantly higher in patients with than without OM (P < 0.05). Binary logistic regression analysis showed that LDL was an independent risk factor for OM (P < 0.001). ROC curve analysis showed that the areas under the curves (AUC) for LDL and CA724 were 0.903 and 0.913 respectively, with higher AUC for combined LDL and CA724 (0.934; P < 0.001).
CONCLUSION: LDL and CA724 have value as predictors for OM in patients with gastric adenocarcinoma, with higher predictive value when these factors are combined.
© 2021 Chen et al.

Entities:  

Keywords:  ROC curve; gastric adenocarcinoma; ocular metastases; risk factors; serological indicators

Year:  2021        PMID: 34326667      PMCID: PMC8315769          DOI: 10.2147/CMAR.S311474

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Gastric cancer (GC) is a common gastrointestinal cancer1 with varied incidence globally. In recent years, the incidence rates of gastric cancer in the United States, Canada and Britain have been decreasing, but it remains the seventh highest cause of death in the United States. In Japan, although the incidence rate has declined, GC is still the most common malignant tumor.2 About 95% of GC is gastric adenocarcinoma, originating from the most superficial or mucosal gland of the stomach.3 In addition, mucosa associated lymphoid tissue (MALT) lymphoma originates from gastric lymphoid tissue and leiomyosarcoma originates from muscles around the mucosa.4 This paper mainly focuses on gastric adenocarcinoma. The immutable risk factors of gastric adenocarcinoma include gender, age, family history and race. Modifiable factors include smoking, radiation, Helicobacter pylori infection, high salt intake and low intake of fruits and vegetables.1 Due to improvements in public health, nutrition, hygiene level and health awareness, as well as the optimization and adjustment of diet structure, the incidence of gastric adenocarcinoma related to geographical area and diet has decreased significantly. However, it is worth noting that the infection rate of Helicobacter pylori has increased significantly, causing an estimated 65% to 80% of gastric adenocarcinoma cases and has become one of the main factors contributing to the incidence of gastric adenocarcinoma.5 The mechanism of this effect remains unknown, but may be related to the indirect effect of inflammation caused by Helicobacter pylori on gastric epithelial cells and the direct effect of bacteria on epithelial cells. Alternatively, Helicobacter pylori may directly regulate the function of epithelial cells through bacterial factors (such as CagA), and both of these mechanisms are thought to interact in the development of GC.6 In the early stage, most patients with gastric adenocarcinoma have no clear clinical manifestations, but do report abdominal discomfort, pantothenic nausea, belching, and loss of appetite. In the late stage, the symptoms may include fever, significant weight loss, chest tightness, dysphagia, and even hemoptysis.7 Since early symptoms are not specific, patients with recurrent upper abdominal discomfort or high-risk factors should be examined thoroughly to ensure early diagnosis, timely treatment and better survival rate. In recent years, due to the continuous progress of medical technology, the pathogenesis of gastric cancer has become clearer, and the prevention and treatment strategies are constantly improving. At present, treatment methods for gastric adenocarcinoma include surgery, radiotherapy, chemotherapy and immunotherapy.8 Due to the high proportion of lymph node metastasis in early gastric cancer, early measures are of great significance to patients’ prognosis.9 However, radiotherapy and chemotherapy can reduce mortality in patients with advanced gastric cancer who cannot tolerate surgery or for whom surgery is unlikely to be beneficial. Gastric cancer is prone to metastasis.10 Research shows that following gastrectomy in GC patients, about 2.43% of cases have liver metastasis.11 The lung, bone and brain metastasis rates of GC patients are 0.96%,12 6.7%13 and 2.33%,14 respectively. Relatively few patients with GC have ocular metastasis (OM), and their main ocular manifestations are eyelid swelling, eye pain and even blindness.15 Despite successful ocular treatment, life prognosis is poor.16 In order to alleviate the patients’ eye symptoms and pain, the early detection and diagnosis of OM is of great significance for early intervention and better prognosis. Studies have shown that INcRNA MEG 3 can inhibit the proliferation and metastasis of GC through the p53 signaling pathway,17 and that downregulation of ARK5 gene expression can inhibit the invasion and metastasis of GC.18 In addition, the transfection of miRNA-21 inhibitor can downregulate the expression of miRNA-21, resulting in the downregulation of epithelial-to-mesenchymal transition and the inhibition of GC cell invasion and migration.19 However, the above methods are difficult to implement, so they are rarely used in clinical practice. Serological markers exist in tumor cells and have unique advantages in the diagnosis of GC metastasis due to their easy access. They can be used as clinical routine detection indicators to assist in the diagnosis of tumor metastasis. Tumor markers refer to the substances that can be detected in blood, body fluid and tissue, which are produced abnormally by tumor cells or induced by the host’s stimulation response to tumor. The immunological characteristics of these substances make it possible to detect tumor and gauge its development, prognosis and effectiveness of therapy.20 In the present study we investigated whether serological and tumor markers can be used to differentiate OM in patients with gastric adenocarcinoma. We also analyzed the correlations between OM and the risk factors for gastric adenocarcinoma, to find accurate indicators for OM in patients with gastric adenocarcinoma. The overarching aims of the study were to facilitate early diagnosis and intervention for metastases to provide a basis for estimates of prognosis, and to improve the quality of life and remission rate of patients with gastric adenocarcinoma.

Patients and Methods

Study Design

This study included patients diagnosed with gastric adenocarcinoma between June 6, 2003 to July 8, 2019, and excluded other types of gastric cancer. The diagnosis was confirmed by pathological examination. Patients who developed eye metastases of gastric adenocarcinoma, diagnosed by imaging and histology, were categorized as ocular metastasis (OM) patients. All others were categorized as non-ocular metastasis (NOM). All the subjects received information about the purpose and methods of the study before agreeing to participate in the trial and signing a declaration of informed consent.

Data Collection

Data were collected from patients’ records, including demographic data (gender, age and histological grading) and the following serological test results at the time of diagnosis: hemoglobin (HB), calcium, alkaline phosphatase (ALP), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), alpha fetoprotein (AFP), carbohydrate antigen-724 (CA724), carcinoembryonic antigen (CEA), CA125, CA153, CA199, cytokeratin-19 fragment (CYFRA21-1), lipoprotein(a) (Lp(a)).

Statistical Analyses

Gender and histological grade were compared between the two groups using a chi square test, and serological indices were compared using an independent samples t-test. A binary logistic regression model was used to analyze the significance of serum markers in OM of patients with gastric adenocarcinoma. Finally, ROC curves were used to analyze the significance of relevant indicators in the identification of OM. SPSS 24.0 software and excel 2017 software were used in this data analysis. P values of <0.05 were considered significant.

Results

Demographics and Clinical Characteristics of Participants

In total, 3056 patients with gastric adenocarcinoma were included, with 22 patients in the OM group (19 males and 3 females) and 3034 patients in the NOM group (2009 males and 1025 females). A significant difference in gender composition was found between the two groups (P < 0.05). Mean age was statistically similar in the OM (61.55 ± 9.96 years), and NOM group (56.20 ± 13.04 years; P > 0.05). No significant difference in histological grade was found between the two groups (P > 0.05). See Table 1 and Figure 1Figure 2Figure –3 for specific clinical information and relevant fundus examination results.
Table 1

The Clinical Characteristics in OM Group and NOM Group

Patient CharacteristicsOM Groupa (n=22) (0.7%)NOM Group (n=3034) (99.3%)P valued
Genderb
 Male1920090.046
 Female31025
Agec
 Mean61.55±9.9656.20±13.040.055
Histological gradingb
 Poorly differentiated adenocarcinoma2217690.001
 Moderately differentiated adenocarcinoma01062
 Well-differentiated adenocarcinoma072
 Others0131
Transfer positionb
 Hepatic metastases113640.001
 Bone metastases1954
 Pulmonary metastases238
 Splenic metastases11
 Brain metastases42
 Lymph node metastases3204
 Peritoneal Metastases0270
 Others0253
Treatmentb
 Palliative surgery21260.475
 Radical gastrectomy for gastric cancer202386
 Chemotherapy212171
 Supportive treatment0179

Notes: Data showed as mean ± standard deviation or n. P<0.05 indicates statistical significance. aOM, including intraocular metastasis and eyelid metastasis. bChi-squared test. cStudent’ s t-test. dComparison between the OM and NOM groups.

Figure 1

Clinical characteristics of gastric adenocarcinoma OM patients and NOM patients.

Figure 2

The HE staining and IHC images from gastric adenocarcinoma OM patients.

Figure 3

Imaging and pathological data of OM in gastric adenocarcinoma patients.

The Clinical Characteristics in OM Group and NOM Group Notes: Data showed as mean ± standard deviation or n. P<0.05 indicates statistical significance. aOM, including intraocular metastasis and eyelid metastasis. bChi-squared test. cStudent’ s t-test. dComparison between the OM and NOM groups. Clinical characteristics of gastric adenocarcinoma OM patients and NOM patients. The HE staining and IHC images from gastric adenocarcinoma OM patients. Imaging and pathological data of OM in gastric adenocarcinoma patients.

Correlation Analysis of Serological Indices Between the Two Groups

Levels of LDL and CA724 were significantly higher in the OM than NOM group (P < 0.05). However, Hb, calcium, ALP, TC, TG, HDL, ApoA1, ApoB, AFP, CA199, CA125, CA153, CYFRA21-1 and Lp(a) were similar in the two groups (P > 0.05). In addition, binary logistic regression analysis showed that LDL was an independent risk factor for OM. See Tables 2 and 3 for details.
Table 2

Differences in the Concentration of Various Tumor Biomarkers Between OM and NOM

Tumor BiomarkersOM GroupNOM Groupt-testP-value
HB (g/L)119.09±16.98114.55±21.840.9730.331
Calcium (mmol/L)2.24±0.252.23±0.260.2610.794
ALP (U/L)103.82±86.28115.00±118.82−0.4410.660
TC (mmol/l)7.86±16.154.68±1.570.9250.366
TG (mmol/L)1.26±0.621.65±1.33−1.3460.178
HDL (mmol/L)1.53±0.721.66±1.23−0.4830.629
LDL (mmol/L)5.19±1.202.92±1.427.4920.000
ApoA1 (g/L)1.45±0.321.67±1.02−0.9820.326
ApoB (g/L)1.37±1.191.16±0.791.2270.220
AFP (ng/mL)3.65±1.955.05±35.88−0.1820.855
CEA (ng/mL)16.82±9.6113.34±93.330.1750.861
CA724 (U/mL)16.61±2.898.31±17.222.2600.024
CA125 (U/mL)68.75±117.4353.80±133.280.5250.600
CA153 (U/mL)14.11±12.6516.49±21.68−0.5150.607
CA199 (U/mL)28.20±46.7872.04±341.94−0.6010.548
CYFRA21-1 (ng/mL)3.20±1.535.73±11.34−1.0460.295
Lp (A)(mg/L)224.03±145.32212.96±169.160.3060.760

Notes: Independent sample t-test. P<0.05 denoted statistical significance. Data showed as mean ± standard deviation.

Abbreviations: OM, ocular metastasis; NOM, non-ocular metastasis.

Table 3

Risk Factors of OM in Patients with Gastric Adenocarcinoma

Tumor MarkerBExp(B)OR (95% CI)P value
LDL−0.4390.6450.562–0.7390.000
CA724−0.0080.9920.984–1.0000.053

Notes: Binary logistic regression analysis. P<0.05 denoted statistical significance.

Abbreviations: B, coefficient of regression; OR, odds ratio; CI, confidence interval; OM, ocular metastasis; LDL, low-density lipoprotein; CA724, carbohydrate antigen-724.

Differences in the Concentration of Various Tumor Biomarkers Between OM and NOM Notes: Independent sample t-test. P<0.05 denoted statistical significance. Data showed as mean ± standard deviation. Abbreviations: OM, ocular metastasis; NOM, non-ocular metastasis. Risk Factors of OM in Patients with Gastric Adenocarcinoma Notes: Binary logistic regression analysis. P<0.05 denoted statistical significance. Abbreviations: B, coefficient of regression; OR, odds ratio; CI, confidence interval; OM, ocular metastasis; LDL, low-density lipoprotein; CA724, carbohydrate antigen-724.

ROC Analysis of LDL and CA724 as Factors in the Diagnosis of OM

Critical values of LDL and CA724 were 3.67 mmol/L and 13.02 U/mL, respectively. In other words, when the LDL levels are higher than 3.67 mmol/L or the CA724 levels are higher than 13.02 U/mL, patients with gastric adenocarcinoma are more likely to have OM. The AUC of LDL was 0.903 (95% CI: 0.562–0.739) and the sensitivity and specificity were 91% and 82%, respectively (p < 0.001). The AUC of CA724 was 0.913 (95% CI: 0.984–1.000) and the sensitivity and specificity were 100% and 86%, respectively (p < 0.001). The AUC of CA724 was higher than that of LDL, indicating that CA724 has higher diagnostic accuracy. The ROC curve of OM risk factors in patients with gastric adenocarcinoma is shown in Figure 4A. The AUC for LDL/CA724 ratio and the combined indicators of LDL + CA724 were calculated as potential risk factors for OM. The AUC value of LDL + CA724 was as high as 0.934 (see Figure 4B for details) (p < 0.001). The sensitivity of CA724, LDL/CA724 and LDL + CA724 was 1.00 in each case, and the specificity of LDL + CA724 was 0.87. See Table 4 for specific data.
Figure 4

The receiver operating characteristic (ROC) curves of risk factors for detecting OM in gastric adenocarcinoma patients.

Table 4

The Cut-off Value, Sensitivity, Specificity, and AUC of Risk Factors for the Prediction of OM in Patients

FactorCut-Off ValueSensitivity (%)Specificity (%)AUCP value
LDL (mmol/L)3.670.910.820.903<0.001
CA724 (U/mL)13.021.000.860.913<0.001
LDL/CA7240.171.000.130.325<0.005
LDL+CA7241.000.870.934<0.001

Notes: Sensitivity and specificity were acquired at the cut-off value. P < 0.05 denoted statistical significance.

Abbreviations: AUC, area under the curve; OM, ocular metastasis; LDL, low-density lipoprotein; CA724, carbohydrate antigen-724.

The Cut-off Value, Sensitivity, Specificity, and AUC of Risk Factors for the Prediction of OM in Patients Notes: Sensitivity and specificity were acquired at the cut-off value. P < 0.05 denoted statistical significance. Abbreviations: AUC, area under the curve; OM, ocular metastasis; LDL, low-density lipoprotein; CA724, carbohydrate antigen-724. The receiver operating characteristic (ROC) curves of risk factors for detecting OM in gastric adenocarcinoma patients.

Discussion

We analyzed 3056 patients with gastric adenocarcinoma and studied their serological indices and risk factors for OM in detail. The incidence rate of gastric cancer is closely related to age and is particularly high in patients 80 years of age or over.21 In this study, the male to female ratio of gastric adenocarcinoma was 1.97:1, with a higher proportion of male than female patients. Studies have shown that the high pressure of life and work continuously stimulates the cerebral cortex, and lesions caused by the continuous excitation of sympathetic nerves may be high risk factors for men.22 At present, the main causes of gastric adenocarcinoma are Helicobacter pylori infection, poor dietary habits and genetic factors. Among the patients involved in this study, 93.4% had poorly or moderately differentiated adenocarcinoma. Poor differentiation occurred with a high degree of malignancy and poorer prognosis. Most patients with early gastric adenocarcinoma have no distinct symptoms or signs, so may not be concerned at this stage. At an advanced stage, patients are admitted to hospital for fever, severe pain, significant weight loss, hematemesis, or metastasis symptoms. At present, gastric adenocarcinoma is the most common type of gastric cancer. Advanced gastric cancer is prone to metastasis, and its prognosis is often poor. Therefore, many studies have looked for predictors of metastasis by studying risk factors. Several such studies have been conducted in recent years, and the details of these are shown in Table 5.21–28
Table 5

The Risk Factors of Metastases of Gastric Cancer

AuthorYearMetastatic SitesRisk Factor
Liu et al212015Lymphoid nodeClaudin-4
Asaka et al222017Lymphoid nodeCA199
Marques-Lespier et al232017Peritoneal metastasisCA125, CA724
Chen et al242019NSTHBS4
Ji et al252019NSLINC00086, miR-214
Kong et al262019Lymphoid nodeMiR-25
Miwa et al272019Hepatic and peritonealHOXC10
Jing et al282020Lymphoid nodeCEA, CA199

Abbreviations: NS, not specific; THBS4, thrombospondin 4; CEA, carcinoembryonic antigen; CA125, carbohydrate antigen-125; CA724, carbohydrate antigen-724; CA199, carbohydrate antigen-199; HOXC10, homeobox C10.

The Risk Factors of Metastases of Gastric Cancer Abbreviations: NS, not specific; THBS4, thrombospondin 4; CEA, carcinoembryonic antigen; CA125, carbohydrate antigen-125; CA724, carbohydrate antigen-724; CA199, carbohydrate antigen-199; HOXC10, homeobox C10. Ocular metastases of gastric cancer manifest as eyelid swelling, eye pain and even blindness15 and have poor prognosis with high mortality.16 Ocular metastases are fortunately very rare in gastric cancer, occurring more commonly in breast and lung cancer.29 A Japanese study shows that, when ocular metastases do occur in gastric cancer, the average time from the definitive primary diagnosis to the occurrence of eye symptoms is 25.4 months, and the average time from the occurrence of those symptoms to death is only 3.3 months.30 Therefore, early detection and diagnosis of OM is of great significance for early intervention and better prognosis. Since some eye metastases are relatively hidden and may be misdiagnosed as other diseases, it is important to improve detection by fully combining the patient’s history and relevant examination results. Unfortunately, early identification of gastric cancer metastasis remains challenging in practice. The clinical use of computed tomography and magnetic resonance imaging methods is not extensive due to high cost and limited sensitivity and specificity. Therefore, low price and convenient serum tumor markers have been widely used in clinical practice. In the present study, LDL and CA724 were significantly lower in patients with than without ocular metastases. Analysis showed that LDL concentration may be used as an independent risk factor for the differential diagnosis of OM. Further analysis showed that LDL and CA724 may be important risk factors for OM in patients with gastric adenocarcinoma and identified threshold concentrations at which gastric adenocarcinoma patients are at risk of OM. A combination of these risk factors can further improve the differential diagnosis of OM, thus enabling earlier treatment and improved prognosis. Low density lipoprotein (LDL) is a form of lipoprotein particle. Antibodies against oxidized LDL can be found in atherosclerotic lesions. When LDL and oxidized LDL exist, cellular biochemistry and signaling pathways can produce pro atherosclerotic changes, and antioxidants in vitro can reduce or reverse the development of atherosclerosis.31 Studies have shown that LDL receptor associated protein can promote the invasion of human breast cancer cells in vitro.32 LDL can also be used as a prognostic indicator for patients with small cell lung cancer.33 In addition, the analysis of serum markers showed that preoperative LDL was an independent risk factor for recurrence of prostate cancer,34 and an independent prognostic factor for colorectal cancer.35 Unhealthy diet, obesity, mental stress and genetic factors can lead to high levels of LDL.36 In our study, LDL content was significantly increased in patients with gastric adenocarcinoma, and it can be used as an independent risk factor for the differential diagnosis of OM. It seems feasible that LDL may promote gastrointestinal inflammation through activating reactive oxygen species and mitogen-activated protein kinase signaling pathways37 and may thus increase the risk of cancer. CA724 is a molecular glycoprotein, mainly distributed in the stomach, breast, pancreas and ovary. It is a tumor marker mainly used to detect gastric cancer and various digestive tract cancers. A 2012 study showed that CA724 is the most relevant serum tumor marker in Chinese patients with gastric cancer.38 CA725 concentration was positively correlated with tumor stage, recurrence, distant metastasis and death risk, and correlation analysis showed that CA725 concentration level was a significant predictor for sensitivity to chemotherapy.39 These findings together with those of the present study suggest that the prognosis in OM is poor, the condition may readily relapse, and most cancer cells may have metastasized, so the survival rate in OM is low. We found that when LDL + CA724 were analyzed together, the AUC of ROC curve was higher than when these factors were considered alone, indicating high sensitivity and specificity. These findings suggest that this combination of factors may be of value in predicting OM in gastric adenocarcinoma. In addition, it is also conducive to our early eye intervention and treatment to prevent the further deterioration of the disease and reduce the suffering of patients, so as to improve the quality of life of patients. It is worth noting that this study has some limitations. First, the data may have been affected by recall bias. In addition, due to the low incidence of eye metastases in gastric adenocarcinoma, even though we included 3056 patients with gastric adenocarcinoma, only 22 patients were included in the OM group. A larger sample of patients in this category would increase statistical power and confidence in the results. In addition, all the patients were from the same hospital, so the analysis may not represent the whole population of patients with OM in gastric adenocarcinoma.

Conclusions

The results of this study indicate that LDL and CA724 are risk factors for OM in gastric adenocarcinoma. Importantly, the combination of LDL and CA724 has value in more accurately predicting the occurrence of eye metastases in patients with gastric adenocarcinoma. These indicators may allow timely diagnosis of OM in patients with gastric adenocarcinoma, allow early intervention, and improve the prognosis of patients with this condition.
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Journal:  J Gastroenterol Hepatol       Date:  2008-06-10       Impact factor: 4.029

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Authors:  Yu Jung Kim; Se Hyun Kim; Jin Won Kim; Jeong-Ok Lee; Jee Hyun Kim; Soo-Mee Bang; Jong Seok Lee; Keun-Wook Lee
Journal:  Eur J Cancer       Date:  2014-09-04       Impact factor: 9.162

8.  Prognostic and clinical significance of claudin-4 in gastric cancer: a meta-analysis.

Authors:  Jin-Xin Liu; Zhao-Yi Wei; Jian-She Chen; Hai-Chao Lu; Liang Hao; Wen-Jing Li
Journal:  World J Surg Oncol       Date:  2015-06-25       Impact factor: 2.754

9.  Iris metastasis of gastric adenocarcinoma.

Authors:  Ali Riza Cenk Celebi; Ayse Ebru Kilavuzoglu; U Emrah Altiparmak; C Banu Cosar; Abdullah Ozkiris
Journal:  World J Surg Oncol       Date:  2016-03-08       Impact factor: 2.754

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