scholarly journals Diagnostic value of macrophage inhibitory cytokine 1 as a novel prognostic biomarkers for early gastric cancer screening

2020 ◽  
Author(s):  
Xin Ge ◽  
Xiaolei Zhang ◽  
Yanling Ma ◽  
Shaohua Chen ◽  
Zhaowu Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Cancer Diagnosis ◽  
Early Stage ◽  
Precancerous Lesions ◽  
Diagnostic Value ◽  
Low Grade ◽  
Serum Samples ◽  
Early Screening ◽  
Roc Curve Analysis

Abstract BACKGROUND Early diagnosis is very important to improve the survival rate of patients with gastric cancer, especially in asymptomatic participants. However, low sensitivity of common biomarkers has caused difficulties in early screening of gastric cancer. In this study, we explored whether MIC-1 can improve the detection rate of early gastric cancer.METHODS We screened 8,257 participants based on risk factors such as age, gender, and family history for physical examination including gastroscopy. Participant blood samples were taken for measure MIC-1, CA-199, CA72-4 and PG1/PG2 levels. The diagnostic performance of MIC-1 was assessed and compared with CA-199, CA72-4 and PG1/PG2, and its role in early gastric cancer diagnosis and the assessment of the risk of precancerous lesions have also been studied.RESULTS Based on endoscopic and histopathological findings, 55 participants had gastric cancer, 566 participants had low-grade neoplasia, 2605 participants had chronic gastritis. MIC-1 levels were significantly elevated in gastric cancer serum samples as compared to controls (p<0.001). The sensitivity of serum MIC-1 for gastric cancer diagnosis was much higher than that of CA-199 (49.1% vs. 20.0%) with similar specificities. Moreover, receiver operating characteristic (ROC) curve analysis also showed that serum MIC-1 had a better performance compared with CA-199, CA72-4 and PG1/PG2 in distinguishing early-stage gastric cancer (AUC: 72.9% vs. 69.5%, 67.5%, 44.0% respectively).CONCLUSIONS Serum MIC-1 is significantly elevated in most patients with early gastric cancer. MIC-1 can serve as a novel diagnostic marker of early gastric cancer and value the risk of gastric cancer.

scholarly journals HypermethylatedFAM5CandMYLKin Serum as Diagnosis and Pre-Warning Markers for Gastric Cancer

2012 ◽  
Vol 32 (3) ◽  
pp. 195-202 ◽  
Author(s):  
Lu Chen ◽  
Liping Su ◽  
Jianfang Li ◽  
Yanan Zheng ◽  
Beiqin Yu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Candidate Genes ◽  
Early Stage ◽  
Precancerous Lesions ◽  
Single Gene ◽  
High Specificity ◽  
Serum Samples ◽  
Promoter Regions ◽  
Gastric Cancer Cell Lines ◽  
Combined Detection

Most cases of gastric cancer (GC) are not diagnosed at early stage which can be curable, so it is necessary to identify effective biomarkers for its diagnosis and pre-warning. We have used methylated DNA immunoprecipitation (MeDIP) to identify genes that are frequently methylated in gastric cancer cell lines. Promoter regions hypermethylation of candidate genes were tested by methylation-specific polymerase chain reaction (MSP) in serum samples, including GC (n= 58), gastric precancerous lesions (GPL,n= 46), and normal controls (NC,n= 30). Eighty two hypermethylated genes were acquired by array analysis and 5 genes (BCAS4, CHRM2, FAM5C, PRACandMYLK) were selected as the candidate genes. Three genes (CHRM2, FAM5CandMYLK) were further confirmed to show methylation rates increased with progression from NC to GPL, then to GC. There was obvious decrease in detection ofFAM5CandMYLKhypermethylation, but notCHRM2, from preoperative to postoperative evaluation (P< 0.001). Combined detection of FAM5C and MYLK hypermethylation had a higher sensitivity in GC diagnosis (77.6%,45/58) and pre-warning (30.4%,14/46) than one single gene detection and also had a high specificity of 90%. The combined hypermethylated status ofFAM5CandMYLKcorrelated with tumor size (P< 0.001), tumor invasion depth (P= 0.001) and tumor-node-metastasis (TNM) stage (P= 0.003). HypermethylatedFAM5CandMYLKcan be used as potential biomarkers for diagnosis and pre-warning of GC.

scholarly journals Expression of Oncostatin M in Early Gastric Cancer and Precancerous Lesions

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Jihua Shi ◽  
Xue Xu ◽  
Jun Du ◽  
Haimeng Cui ◽  
Qingfeng Luo
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Chronic Gastritis ◽  
Precancerous Lesions ◽  
Intraepithelial Neoplasia ◽  
Oncostatin M ◽  
Low Grade ◽  
Mucosal Epithelium ◽  
Expression Levels ◽  
Significant Difference

Objective. To detect the expression of the Oncostatin M (OSM) gene and encoded protein in the mucosal epithelium of chronic gastritis, intestinal metaplasia (IM), low-grade intraepithelial neoplasia (LGIN), high-grade intraepithelial neoplasia (HGIN), early gastric cancer (EGC), and advanced gastric cancer (AGC) samples and to explore the correlation and clinicopathological significance of OSM expression in the process of gastric carcinogenesis. Methods. The expression levels of OSM in chronic gastritis, IM, LGIN, HGIN, EGC, and AGC samples were detected by gene chip, real-time quantitative PCR, and immunohistochemical methods. The expression levels of OSM in the gastric mucosa were analyzed, and its correlation with clinical pathology was studied. Results. The expression level of OSM in gastric HGIN and EGC tissues was significantly higher than that in LGIN tissues based on expression profiling (P<0.001). The expression of the OSM gene in EGC was higher than that in HGIN (unpaired t test, P<0.05) and LGIN (unpaired t test, P<0.01) by qPCR. The expression of OSM in LGIN was significantly lower than that in HGIN (P=0.008) and EGC (P=0.044) by immunohistochemical staining. The expression of OSM in HGIN tissues was significantly higher than that in AGC (P=0.007). Conclusion. Alterations in the expression of the OSM gene may be involved in the malignant transformation of the gastric mucosal epithelium. Because of the significant difference in the cancerization rate and clinical management between LGIN and HGIN, the difference in the staining intensity of OSM between LGIN and HGIN may be one of the early markers of gastric intraepithelial neoplasia.

scholarly journals Mir-421 in plasma as a potential diagnostic biomarker for precancerous gastric lesions and early gastric cancer

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7002 ◽  
Author(s):  
Jianlin Chen ◽  
Lihua Wu ◽  
Yifan Sun ◽  
Qi Yin ◽  
Xianhua Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Tumor Markers ◽  
Cancer Progression ◽  
Early Stage ◽  
Precancerous Lesions ◽  
Youden Index ◽  
Gastric Lesions ◽  
Precancerous Gastric Lesions ◽  
Potential Biomarker

Objective MicroRNA (miR)-421 plays a key role in cancer progression. It has been reported that circulating miR-421may be a potential tumor marker for the diagnosis of several cancers. However, the role of miR-421 in plasma as a potential biomarker in the diagnosis of precancerous gastric lesions (Pre) and early-stage gastric cancer (GC) remains poorly understood. In this study, we investigated miR-421 in plasma as a novel potential biomarker for the detection of precancerous gastric lesions and early-stage (GC). Materials & Methods The miRNA content was determined by quantitative real-time polymerase chain reaction (qRT-PCR). MiR-421 content in all subjects was normalized by endogenous miRNA (miR-16). The diagnostic value of miR-421 for Pre and GC was assessed by comparing receiver operating characteristic (ROC) analysis with traditional tumor markers, including CEA, CA125, CA153, CA211 and CA50. The correlation between the expression of miR-421 and the pathological characteristics of Pre and GC was analyzed. Results Elevated expression of miR-421 in plasma can robustly distinguish the normal population from Pre and GC cases, especially in the early stages of gastric cancer cases (all p < 0.05). The ROC analyses showed that the area under the ROC curve (AUC), sensitivity, accuracy and Youden index of miR-421 were superior to traditional tumor markers (CEA, CA125, CA153, CA211, and CA50) in GC diagnosis, while its specificity was higher than CEA, CA153 and CA50 (all p < 0.05). MiR-421 in plasma had higher AUC value than AFP, CA153, CA211 and CA50 in the diagnosis of Pre (all p < 0.05), while specificity, accuracy and Youden index of miR-421 was only lower than CA211. The efficiency of miR-421 in the diagnosis of GC was significantly higher than that of CA211 and CA50, and it was significantly higher than CA153, CA211 and CA50 in the diagnosis of Pre (all p < 0.05). In addition, up-regulation of miR-421 occurred initially in precancerous gastric lesions as well as in the early stage of GC. Conclusions Overexpression of plasma miR-421 is a novel biomarker for the detection of precancerous lesions and early gastric cancer.

UPDATE ON THE DIAGNOSIS AND MANAGEMENT OF EARLY GASTRIC CANCER

2015 ◽  
pp. 5-14
Author(s):  
Van Huy Tran ◽  
Quang Trung Tran
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Early Diagnosis ◽  
Cancer Diagnosis ◽  
Good Prognosis ◽  
Accurate Diagnosis ◽  
White Light Endoscopy ◽  
Key Factor ◽  
Magnified Endoscopy ◽  
Endoscopic Characteristics

The prognosis of gastric cancer depends principally upon an early diagnosis. An early and accurate diagnosis of gastric cancer needs some basic knowledges about the endoscopic characteristics of white light endoscopy, chromoendoscopy, magnified endoscopy, FICE and NBI…A strategy of screening is also a key factor for early diagnosis. The treatment of early gastric cancer by endoscopy techniques have showed more and more advantages. Beside of EMR, the technique of ESD is now applied more widely and lead to a very good prognosis and nearly a curative treatment for the patients with early gastric cancer. Key words: gastric cancer, early gastric cancer, diagnosis, endoscopy

scholarly journals Clinical application of the 2011 IFCPC colposcope terminology

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bei Zhang ◽  
Shuhui Hong ◽  
Guihui Zhang ◽  
Fengnian Rong
Keyword(s):  
Diagnostic Accuracy ◽  
Precancerous Lesions ◽  
High Specificity ◽  
Diagnostic Value ◽  
Low Grade ◽  
Squamous Intraepithelial Lesion ◽  
Diagnostic Significance ◽  
Cervical Precancerous Lesions ◽  
Intraepithelial Lesion ◽  
Common Sign

Abstract Background Colposcopy offers an accurate way to the diagnose of cervical precancerous lesions. However, the diagnostic accuracy of colposcopy is unsatisfied. This study was to evaluate colposcopic accuracy according to the 2011 International Federation of Cervical Pathology and Colposcopy (IFCPC) terminology. Methods A retrospective cohort study was performed in 1,838 patients who underwent colposcopy in Shandong Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University from October 2013 to April 2018. Using conization or cervical biopsy pathology as the gold standard, the agreement between colposcopic diagnosis and pathologic diagnosis was calculated, and correlations between variables were analyzed. Results As an authoritative and widely used terminology for colposcopy diagnosis, the 2011 IFCPC terminology has certain clinical practicality and diagnostic accuracy. However, some signs such as mosaic, punctation, sharp border, inner border sign and ridge sign had high specificity but unsatisfactory sensitivity, which limited the diagnostic value. Therefore, we discussed the Lugol’s staining, a very common sign in colposcopy, and analyzed the diagnostic significance of bright yellow staining in low-grade squamous intraepithelial lesion (LSIL) and mustard yellow staining in high-grade squamous intraepithelial lesion (HSIL). The results showed that mustard yellow may be a valuable indicator in the diagnosis of HSIL. Conclusion The 2011 IFCPC colposcope terminology has standardized interpretations of the colposcopic findings and improved the accuracy of colposcopy diagnosis. The aceto-white epithelium still has important diagnostic value; however, the value of a few signs is needed to be discussed and new signs are expected to be discovered. Although the significance of Lugol’s staining was diminishing, mustard yellow might be a valuable indicator for the diagnosis of HSIL.

scholarly journals A novel combination of serum microRNAs for the detection of early gastric cancer

2021 ◽  
Author(s):  
Seiichiro Abe ◽  
Juntaro Matsuzaki ◽  
Kazuki Sudo ◽  
Ichiro Oda ◽  
Hitoshi Katai ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Expression Profiles ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Cancer Center ◽  
Serum Samples ◽  
Retrospective Case ◽  
Serum Mirnas ◽  
Validation Set

Abstract Background The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort. Methods This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospital in Tokyo between 2008 and 2012) and 1417 age- and gender-matched non-cancer controls. The samples were randomly assigned to discovery and validation sets and the miRNA expression profiles of whole serum samples were comprehensively evaluated using a highly sensitive DNA chip (3D-Gene®) designed to detect 2565 miRNA sequences. Diagnostic models were constructed using the levels of several miRNAs in the discovery set, and the diagnostic performance of the model was evaluated in the validation set. Results The discovery set consisted of 708 samples from EGC patients and 709 samples from non-cancer controls, and the validation set consisted of 709 samples from EGC patients and 708 samples from non-cancer controls. The diagnostic EGC index was constructed using four miRNAs (miR-4257, miR-6785-5p, miR-187-5p, and miR-5739). In the discovery set, a receiver operating characteristic curve analysis of the EGC index revealed that the area under the curve (AUC) was 0.996 with a sensitivity of 0.983 and a specificity of 0.977. In the validation set, the AUC for the EGC index was 0.998 with a sensitivity of 0.996 and a specificity of 0.953. Conclusions A novel combination of four serum miRNAs could be a useful non-invasive diagnostic biomarker to detect EGC with high accuracy. A multicenter prospective study is ongoing to confirm the present observations.

scholarly journals Identification of differentially methylated genes as diagnostic and prognostic biomarkers of breast cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiao-hong Mao ◽  
Qiang Ye ◽  
Guo-bing Zhang ◽  
Jin-ying Jiang ◽  
Hong-ying Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
High Sensitivity ◽  
Breast Cancer Diagnosis ◽  
Diagnostic Value ◽  
Methylation Pattern ◽  
Clinical Value ◽  
Roc Curve Analysis ◽  
Differentially Methylated Genes ◽  
Sensitivity Specificity

Abstract Background Aberrant DNA methylation is significantly associated with breast cancer. Methods In this study, we aimed to determine novel methylation biomarkers using a bioinformatics analysis approach that could have clinical value for breast cancer diagnosis and prognosis. Firstly, differentially methylated DNA patterns were detected in breast cancer samples by comparing publicly available datasets (GSE72245 and GSE88883). Methylation levels in 7 selected methylation biomarkers were also estimated using the online tool UALCAN. Next, we evaluated the diagnostic value of these selected biomarkers in two independent cohorts, as well as in two mixed cohorts, through ROC curve analysis. Finally, prognostic value of the selected methylation biomarkers was evaluated breast cancer by the Kaplan-Meier plot analysis. Results In this study, a total of 23 significant differentially methylated sites, corresponding to 9 different genes, were identified in breast cancer datasets. Among the 9 identified genes, ADCY4, CPXM1, DNM3, GNG4, MAST1, mir129-2, PRDM14, and ZNF177 were hypermethylated. Importantly, individual value of each selected methylation gene was greater than 0.9, whereas predictive value for all genes combined was 0.9998. We also found the AUC for the combined signature of 7 genes (ADCY4, CPXM1, DNM3, GNG4, MAST1, PRDM14, ZNF177) was 0.9998 [95% CI 0.9994–1], and the AUC for the combined signature of 3 genes (MAST1, PRDM14, and ZNF177) was 0.9991 [95% CI 0.9976–1]. Results from additional validation analyses showed that MAST1, PRDM14, and ZNF177 had high sensitivity, specificity, and accuracy for breast cancer diagnosis. Lastly, patient survival analysis revealed that high expression of ADCY4, CPXM1, DNM3, PRDM14, PRKCB, and ZNF177 were significantly associated with better overall survival. Conclusions Methylation pattern of MAST1, PRDM14, and ZNF177 may represent new diagnostic biomarkers for breast cancer, while methylation of ADCY4, CPXM1, DNM3, PRDM14, PRKCB, and ZNF177 may hold prognostic potential for breast cancer.

scholarly journals Factors Affecting the Accuracy of Endoscopic Ultrasonography in the Diagnosis of Early Gastric Cancer Invasion Depth: A Meta-analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Ding Shi ◽  
Xiao-xia Xi
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Likelihood Ratio ◽  
Endoscopic Ultrasonography ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Value ◽  
Depth Of Invasion ◽  
Invasion Depth ◽  
Sensitivity Specificity

Background. Endoscopic ultrasonography (EUS) is the first imaging modality for investigating the depth of invasion in early gastric cancer (EGC). However, there is presently no consensus on the accuracy of EUS in diagnosing the invasion depth of EGC. Aim. This study is aimed at systematically evaluating the accuracy of EUS in diagnosing the invasion depth of EGC and its affecting factors. Methods. The literatures were identified by searching PubMed, SpringerLink, Cochrane Library, Web of Science, Nature, and Karger knowledge databases. Two researchers extracted the data from the literature and reconstructed these in 2×2 tables. The Meta-DiSc software was used to evaluate the overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic advantage ratio, and 95% confidence interval (CI). The SROC was drawn, and the area under the curve (AUC) was calculated to evaluate the diagnostic value. Results. A total of 17 articles were selected, which included 4525 cases of lesions. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic dominance ratio, and 95% CI of EUS for diagnosing EGC was 0.87 (95% CI: 0.86-0.88), 0.67 (95% CI: 0.65-0.70), 2.90 (95% CI: 2.25-3.75), 0.17 (95% CI: 0.13-0.23), and 18.25 (95% CI: 12.61-26.39), respectively. The overall overstaging rate of mucosa/submucosa 1 (M/SM1) and SM by EUS was 13.31% and 32.8%, respectively, while the overall understaging rate of SM was 29.7%. The total misdiagnosis rates for EUS were as follows: 30.4% for lesions≥2 cm and 20.9% for lesions<2 cm, 27.7% for ulcerative lesions and 21.4% for nonulcerative lesions, and 22% for differentiated lesions and 26.9% for undifferentiated lesions. Conclusion. EUS has a moderate diagnostic value for the depth of invasion of EGC. The shape, size, and differentiation of lesions might be the main factors that affect the accuracy of EUS in diagnosing EGC.

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