scholarly journals Diagnostic value of MRI-DWI signal intensity value combined with serum PGI, PGII and CA199 in early gastric cancer

2021 ◽  
Vol 67 (2) ◽  
pp. 95-100
Author(s):  
Minhong Li ◽  
GuangHui Zheng ◽  
Lin Yu ◽  
Li-lian Tan ◽  
Xi Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Signal Intensity ◽  
Statistical Significance ◽  
Gastric Wall ◽  
Diagnostic Value ◽  
Wall Thickening ◽  
Healthy Group ◽  
Cancer Group ◽  
Gastric Cancer Group

To explore the diagnostic value of MRI-DWI signal intensity value combined with serum PGI. PGII and CA199 in early gastric cancer. Sixty cases of gastric cancer patients admitted to our hospital from December 2019 to December 2020 were selected as the gastric cancer group and 80 cases of healthy volunteers who underwent physical examination in our hospital during the same period were selected as the healthy group. All the 60 patients underwent MRI-DWI examination, and the pathological diagnosis results were regarded as the gold standard. MRI-DWI images, MRI-DWI signal intensity values of patients with different degrees of gastric cancer differentiation. Serum PGI, PGII and CA199 levels of subjects in the two groups were compared. AUC was used to evaluate the diagnostic value of MRI-DWI signal intensity value combined with serum PGI, PG II and CA199 for early gastric cancer. In the healthy group, T1W1 showed relatively uniform low signal intensity. While T2WI showed no significant increase in signal intensity. In the gastric cancer group. There was diffuse gastric wall thickening, local thickening or mass formation; T1WI and WATS showed slightly lower signal intensity in the lesion area. T2WI, FLAIR and B-TFE showed slightly uneven or moderately increased signal intensity. DWI showed limited diffusion, and the signal intensity increased uniformly or more uniformly, and the range of increase was clear. The signal intensity of MRI-DWI was 89.12 ± 8.14 in patients with low differentiation, 82.17 ± 6.35 in patients with moderate differentiation, and 74.52 ± 4.53 in patients with high differentiation. There were significant differences in the signal intensity of MRI-DWI among the three groups, and the difference was statistically significant (F=12.214, P <0.05). Serum PGI levels of subjects in the gastric cancer group were significantly lower than those in the healthy group, and the levels of PGII and CA199 were significantly higher than that in the healthy group, with statistical significance (P <0.05). The AUC, sensitivity and specificity of MRI-DWI signal intensity value and serum PGI, PGII and CA199 combined indexes in the diagnosis of gastric cancer were significantly higher than those of the independent indexes, with statistical significance (P <0.05). Conclusion: MRI-DWI signal strength value, serum PGI, PGII and CA199 levels are closely related to the occurrence and development of early gastric cancer. The combined detection and diagnosis efficiency is higher, which is helpful to improve the detection rate of early gastric cancer and is worthy of extensive clinical application.

scholarly journals Discovering Biomarkers in Gastric Cancer by Urine Metabolomics

2021 ◽  
Author(s):  
Yuan Kong ◽  
Hongya Zhang ◽  
Shuang Li ◽  
Jian Suo ◽  
Shaopeng Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cluster Analysis ◽  
Early Gastric Cancer ◽  
Partial Least Square ◽  
Least Square ◽  
Urine Samples ◽  
Diagnostic Ability ◽  
Healthy Group ◽  
Cancer Group ◽  
Gastric Cancer Group

Abstract IntroductionGastric cancer is one of the most common gastrointestinal tumors, ranking forth in incidence and second in mortality worldwide. Discovering molecular biomarkers for early gastric cancer diagnosis is of great importance. MethodsUrine and related clinical data of 40 patients with gastric cancer (20 in advanced stage and 20 in early stage) and 20 healthy volunteers from Jilin University First Hospital were collected. Liquid chromatography-mass spectrometry (LC-MS) was used to detect urine samples and the metabolic differences between the three groups of urine samples were analyzed. The principal component analysis was performed after data processing, and different metabolites were found using analysis of variance. Partial least square discriminant analysis was performed to further narrow the range of different metabolites. The precise mass to charge ratios of different metabolites were imported into the Human Metabolomics Database (HMDB). Finally, the identified different metabolites were further screened by cluster analysis and ROC curve. ResultsUrine samples of the healthy group (NOR), the early gastric cancer group (EGC), and the advanced gastric cancer group (AGC) were different metabolites. 324 statistically significant metabolites are screened out. The cluster analysis showed 7-Methylguanine, vinylacetylglycine, butyric acid, 4-Vinylphenol sulf,
5`-biotinyl-AMP, and 3-Amino-2-piperido in EGC, AGC and NGO were similar. 7-Methylguanine, vinylacetylglycine and 4-Vinylphenolsulfate had good diagnostic ability in EGC and NOR (p<0.05), and gastric cancer and NOR (p<0.05). ConclusionDifferences in the metabolites in urine between the early gastric cancer group and the healthy group were found. 7-Methylguanine, Vinylacetylglycine, and 4-Vinylphenolsulfate have good diagnostic ability and may be potential biomarkers of early gastric cancer.

Expression and Clinical Significance of Serum Exosomal miR-375 in Patients with Gastric Cancer

2021 ◽  
Vol 7 (5) ◽  
pp. 3896-3904
Author(s):  
Daoting Deng ◽  
Hong Zhang ◽  
Junxi Liu ◽  
Lina Ma ◽  
Xinrui Lei ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Cox Regression Analysis ◽  
Healthy Group ◽  
Cancer Group ◽  
Kaplan Meier ◽  
Gastric Cancer Patients ◽  
Gastric Cancer Group

To explore exosomal miR-375 expression in gastric cancer patients and its relationship with patient prognosis. A total of 53 patients diagnosed with gastric cancer in our hospital from May 2014 to May 2016 were included as the gastric cancer group, and 46 healthy women who came to our hospital for physical examination during the same period were enrolled as the healthy group. Exosomal miR-375 expression level was detected using qRT-PCR, and the diagnostic performance and prognostic significance of exosomal miR-375 in gastric cancer were explored. The gastric cancer group showed increased exosomal miR-375 expression than the healthy group (P< 0.05); Kaplan-Meier survival analysis exhibited that serum exosomal miR-375 has an AUC of 0.778, sensitivity of 69.57%, and specificity of 75.47%, whereas Cox regression analysis showed that the miR-375 expression in exosomes was an independent risk factor affecting the prognosis of gastric cancer patients (P< 0.05). Patient with gastric cancer showed upregulated miR-375 expression in serum exosomes. Serum exosomal miR-375 was found to has positive sensitivity and specificity in the diagnosis of gastric cancer, which may be associated with poor prognosis of gastric cancer patients.

Study on the Value of miR6503-5p Combined with PGR in the Diagnosis of Early Gastric Cancer

2021 ◽  
Vol 7 (5) ◽  
pp. 1516-1521
Author(s):  
Xuli Guo ◽  
Lezhong Yuan ◽  
Xia Yuan ◽  
Xiaohong Guo ◽  
Jun Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Roc Curve ◽  
Serum Levels ◽  
Stage I ◽  
Stage Ii ◽  
Control Group ◽  
Cancer Group ◽  
Significant Difference ◽  
Gastric Cancer Group

Objective To investigate the value of serum miRNA 6503-5p (miR6503-5p) combined with pepsinogen ratio (PGR) in the diagnosis of early gastric cancer. Methods: 94 patients (gastric cancer group) with gastric cancer confirmed by pathological examination and 90 patients with chronic atrophic gastritis collected by Department of Pathology in our hospital were selected as the control group, the serum levels of pepsinogen (PG I, PG II) and miR6503-5p were measured in the two groups, and the value of the two indexes in the diagnosis of gastric cancer was analyzed by ROC. Results: The serum levels of miR6503-5p in gastric cancer group were significantly higher than those in control group (P<0.05), the serum levels of PG I and PGR in gastric cancer group were significantly lower than those in control group (P<0.05), the serum levels of miR6503-5p in stage II gastric cancer group were significantly higher than those in stage I patients with statistically significant difference (P<0.05), and the serum levels of PG I and PGR in stage II gastric cancer group were significantly lower than those in stage I patients with statistically significant difference (P<0.05). The serum levels of PG I, PG II and PGR in the patients with highly and moderately differentiated gastric cancer were not significantly different from those in the patients with poorly and undifferentiated gastric cancer, with no statistically significant different (P>0.05); the serum levels of miR6503-5p in the patients with highly and moderately differentiated gastric cancer were significantly lower than those in the patients with poorly and undifferentiated gastric cancer, with statistically significant difference (P<0.05); the sensitivity of miR6503-5p in diagnosing gastric cancer was 81.33%, the specificity was 71.09%, the area under the ROC curve was 0.767; the sensitivity of PGR in diagnosing gastric cancer was 85.81%, the specificity was 78.40%, and the area under the ROC curve was 0.827. The sensitivity of serum miR6503-5p combined with PGR was 96.40%, the specificity was 85.44%, and the area under the ROC curve was 0.920. Conclusion The miR 6503-5p combined with PGR has high sensitivity and specificity in the diagnosis of gastric cancer and is worthy of clinical application in the screenof patient with early gastric cancer.

scholarly journals Study on the Characteristics of Intestinal Flora Composition in Gastric Cancer Patients and Healthy People in the Qinghai-Tibet Plateau

2021 ◽  
Author(s):  
Zilong Zhang ◽  
Linghong Zhu ◽  
Yanqing Ma ◽  
Bo Wang ◽  
Caihong Ci ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Intestinal Flora ◽  
Healthy People ◽  
Tibet Plateau ◽  
Healthy Group ◽  
Cancer Group ◽  
Gastric Cancer Patients ◽  
Qinghai Tibet Plateau ◽  
Gastric Cancer Group

AbstractThe aim of this study is to compare and analyze the structure and diversity of intestinal flora between gastric cancer patients and healthy people in the Qinghai-Tibet Plateau and to explore the characteristics of the intestinal flora composition in gastric cancer patients in the plateau area, and to determine the possible correlation between the intestinal flora and gastric cancer. Fresh feces from 22 cases of gastric cancer patients diagnosed in a tertiary hospital in Qinghai Province and 30 cases of healthy people during the same period were collected. The 52 subjects were undergone for 16S rDNA gene sequencing of intestinal bacteria to analyze and compare the diversity and compositional characteristics of intestinal flora. Analysis of the diversity of intestinal flora between the gastric cancer group and the healthy group was based on the Chao1 index of species richness, Shannon diversity index, and Simpson index. It showed that the gastric cancer group had no statistically difference from the healthy group (P > 0.05). In the Venn diagram, the number of OTU units shared by the gastric cancer group and the healthy group is 6997, and the number of unique OTU units in the healthy group is 2282, while the number of OTU units in the gastric cancer group is 896 and the difference is statistically significant (χ2 = 495.829), P < 0.000). Analysis of the composition and abundance distribution of intestinal flora showed that at the phylum level, there is no significant deference in abundance between the healthy group of Bacteroides and Firmicutes compared with the gastric cancer group (P > 0.05). However, there is a statistically significant difference in abundance between the healthy groups of Proteobacteria compared with the gastric cancer group (P < 0.05). At the genus level, the gastric cancer group of Prevotella_9 is significantly different from the healthy group (P < 0.05). Meanwhile, the gastric cancer group of Streptococcus and Lactobacillus are significantly different from the healthy group (P < 0.001). There are differences in the composition and abundance of intestinal flora between patients with gastric cancer and healthy people in plateau areas, suggesting that Proteobacteria, Prevotella_9, Streptococcus, and Lactobacillus have increased in the Qinghai-Tibet Plateau and becoming one of the factors related to the incidence of gastric cancer in the region.

scholarly journals Study on Blood Metabolomics of Early Gastric Cancer Based on Liquid Chromatography-Mass Spectrometry Technology

2021 ◽  
Author(s):  
Shanshan Qin ◽  
Qiong Wu ◽  
Rui Su ◽  
Wei Li ◽  
Yang Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Diagnostic Ability ◽  
Blood Samples ◽  
Cancer Group ◽  
Heparin Sulfate ◽  
Group A ◽  
Group B ◽  
Gastric Cancer Group

Abstract Background: Metabolomics is widely used to accurately find the basic characteristics and material basis of life activities. The purpose of this study is to use metabolomics to discover biomarkers for the diagnosis of early gastric cancer.Methods: We collected the blood samples and clinical data of 63 patients with gastric cancer from the First Hospital of Jilin University, including 26 patients with advanced gastric cancer (group A), 37 patients with early gastric cancer (group B), and 18 healthy volunteers (group C). Chromatography-mass spectrometry (LC-MS) is used for detect metabolites and obtain metabolic profile. Support vector machine (SVM) is used to screen the differential metabolites with a weight of 100% from the blood sample. Total ion current diagram, principal component analysis and analysis of variance (ANOVA) are used to identify differential metabolites. PCA and the quadratic discriminant analysis were used to evaluate the similarity between samples. The receiver characteristic curve (ROC) is used to evaluate the diagnostic ability of metabolites. After the nuclear ratio of the selected metabolites is imported into the Human Metabolome Database (HMDB), the structure is identified to determine the corresponding substances, and then the verification group is used to test the accuracy of the metabolites.Results: Through LC-MS, TIC, ANOVA and PCA, differential metabolites were found in different blood samples. Cluster analysis showed similar metabolites in the three groups A, B, and C. ROC curve represented the diagnostic ability of metabolites. The different metabolites between group A and C were spermine, enterostatin, heparin sulfate, and triacylglycerol. The difference metabolites between group A, group B and group C were same as those between group A and C. The cluster analysis and ROC also showed that all four metabolites had high specificity and sensitivity in the verification group. And the results of verification group were consistent with the experimental group.Conclusion: Spermine, enterostatin, heparin sulfate, and triacylglycerol may be potential biomarkers for the diagnosis of early gastric cancer.

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.

LncRNA CASC2 Plays an Indicative Role in Diagnosing Bladder Cancer

2020 ◽  
Author(s):  
Hao Zi ◽  
Wen-Lin Tao ◽  
Lei Gao ◽  
Zhao-Hua Yu ◽  
Xiao-Dong Bai ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Histological Grade ◽  
Diagnostic Value ◽  
Expression Level ◽  
Chi Square ◽  
Healthy Group ◽  
Cancer Group ◽  
Incidence And Mortality

Abstract Background: Bladder cancer is a common cancer of urinary system, with high incidence and mortality. LncRNA CASC2 as a tumor suppressor has been reported to be involved in many human tumors. In this study, we aimed to explore the diagnostic value of CASC2 for bladder cancer patients.Methods: qRT-PCR was used to detect the expression level of CASC2 in 140 bladder cancer patients and 90 healthy volunteers. The differences of CASC2 expression between the cancer group and healthy group were analyzed using student’s t test. The correlation of CASC2 expression with clinical characteristics of the bladder cancer patients was estimated with Chi-square test. In addition, ROC curve was plotted to evaluate the diagnostic value of CASC2 for bladder cancer patients.Results: Serum CASC2 level was lower in bladder cancer patients than that in healthy group (P<0.05). The expression level of CASC2 was significantly associated with histological grade (P=0.000), TNM stage (P=0.000), and lymph node metastasis (P=0.001). The area under the ROC curve (AUC) was 0.864 and the optimal cutoff value was 0.955, suggesting the diagnostic value of CASC2 for bladder cancer. The diagnostic sensitivity was 77.8% and specificity was 85.7%.Conclusion: CASC2 may be a novel biomarker for early diagnosis of bladder 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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