scholarly journals The diagnostic value of serum gastrokine 1 (GKN1) protein in gastric cancer

2019 ◽  
Vol 8 (12) ◽  
pp. 5507-5514 ◽  
Author(s):  
Jung Hwan Yoon ◽  
Yong Gyu Park ◽  
Suk Woo Nam ◽  
Won Sang Park
2013 ◽  
Vol 04 (06) ◽  
pp. 253-259
Author(s):  
J. Jeong ◽  
E. Kong ◽  
K. Chun ◽  
B. Jang ◽  
T. Kim ◽  
...  

Summary Aim: With the recent advances in multidetector-row CT, a fusion of functional PET with three dimensional (3D) CT gastrography may provide enhanced diagnostic capability and help surgeons during preoperative planning. The diagnostic value of hybrid PET/CT gastrography was compared with that of conventional PET/CT alone in gastric cancer staging. Patients, methods: Patients with gastric cancer (n = 101) confirmed by endoscopic biopsy specimens underwent conventional PET/CT and regional PET with contrast enhanced CT, followed by gastrectomy with lymphadenectomy at our institution from November 2007 to November 2008. These images were fused into a hybrid PET/CT gastrography using the cardiac IQ fusion software. Conventional PET/CT and hybrid PET/ CT gastrography were evaluated for staging of gastric cancer. After gastrectomy, these were compared with pathologic reports respectively. Results: Gastric cancer was diagnosed as 50 early gastric cancer (EGC) and 51 advanced gastric cancer (AGC) on pathologic examination. In EGC, hybrid PET/CT gastrography and PET/CT identified 36 (72%) and 7 (14%) tumours, respectively. Hybrid PET/CT gastrography correctly delineated the subtype of 25 EGC. In AGC, all 51 (100%) tumours were identified on the hybrid PET/CT gastrography compared to 39 (76.5%) tumours on PET/CT. Hybrid PET/CT gastrography correctly classified the morphology of 42 AGC using the Bormann classification. Additionally, depth of invasion was correctly presented in 38 of 51 AGC. Hybrid PET/CT gastrography for regional lymph node (LN) metastasis in the EGC and AGC showed the sensitivity of 75% and 83.9%, and specificity 90.5% and 55%, respectively. Conclusion: Hybrid PET/CT gastrography is the more intuitive and comprehensive method for the preoperative evaluation of gastric cancer than conventional PET/CT.


2016 ◽  
Vol 40 (1-2) ◽  
pp. 391-399 ◽  
Author(s):  
Bo Wang ◽  
Huan Yang ◽  
Liqin Shen ◽  
Ji Wang ◽  
Wangyang Pu ◽  
...  

Background/Aims: Interferon regulatory factor 1 (IRF-1) has been shown to function as a transcriptional activator or repressor of a variety of target genes. However, its upstream, non-coding RNA-related regulatory capacity remains unknown. In this study, we focus on the miRNA-associated single nucleotide polymorphisms (SNPs) in the 3′untranslated region (UTR) of IRF-1 to further investigate the functional relationship and potential diagnostic value of the SNPs and miRNAs among Chinese gastric cancer (GC) patients. Methods: We performed a case-control study with 819 GC patients and 756 cancer-free controls. Genotyping by realtime PCR assay, cell transfection, and the dual luciferase reporter assay were used in our study, and the 5-year overall survival rate and relapse-free survival rate in different groups were investigated. Results: We found that patients suffering from Helicobacter pylori (Hp) infection were the susceptible population compared to controls. SNP rs56288038 (C/G) in IRF-1 3′UTR was involved in the occurrence of GC by acting as a tumor promoter factor. SNP rs56288038 (C/G) could be up-regulated by miR-502-5p, which caused a down-regulation of IRF-1 in cell lines and decreased apoptosis induced by IFN-γ. Carrying the G genotype was related to significantly low expression of IRF-1 and Hp infection, poor differentiation, big tumor size, invasion depth, as well as the high probability of metastasis, and moreover, the C/G SNP was associated with shorter survival of GC patients with five years of follow-up study. Conclusions: our findings have shown that the SNP rs56288038 (C/G) in IRF-1 3′UTR acted as a promotion factor in GC development through enhancing the regulatory role of miR-502-5p in IRF-1 expression.


2015 ◽  
Vol 211 (8) ◽  
pp. 577-583 ◽  
Author(s):  
Emilia Rippa ◽  
Filomena Altieri ◽  
Chiara Stella Di Stadio ◽  
Giuseppina Miselli ◽  
Annalisa Lamberti ◽  
...  

2020 ◽  
Author(s):  
Xin Ge ◽  
Xiaolei Zhang ◽  
Yanling Ma ◽  
Shaohua Chen ◽  
Zhaowu Chen ◽  
...  

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.


2013 ◽  
Vol 52 (03) ◽  
pp. 107-112 ◽  
Author(s):  
I. Cho ◽  
E. Kong ◽  
K. Chun ◽  
B. Jang ◽  
T. Kim ◽  
...  

Summary Aim: With the recent advances in multidetector-row CT, a fusion of functional PET with three dimensional (3D) CT gastrography may provide enhanced diagnostic capability and help surgeons during preoperative planning. The diagnostic value of hybrid PET/CT gastrography was compared with that of conventional PET/CT alone in gastric cancer staging. Patients, methods: Patients with gastric cancer (n = 101) confirmed by endoscopic biopsy specimens underwent conventional PET/CT and regional PET with contrast enhanced CT, followed by gastrectomy with lymphadenectomy at our institution from November 2007 to November 2008. These images were fused into a hybrid PET/CT gastrography using the cardiac IQ fusion software. Conventional PET/CT and hybrid PET/ CT gastrography were evaluated for staging of gastric cancer. After gastrectomy, these were compared with pathologic reports respectively. Results: Gastric cancer was diagnosed as 50 early gastric cancer (EGC) and 51 advanced gastric cancer (AGC) on pathologic examination. In EGC, hybrid PET/CT gastrography and PET/CT identified 36 (72%) and 7 (14%) tumours, respectively. Hybrid PET/CT gastrography correctly delineated the subtype of 25 EGC. In AGC, all 51 (100%) tumours were identified on the hybrid PET/CT gastrography compared to 39 (76.5%) tumours on PET/CT. Hybrid PET/CT gastrography correctly classified the morphology of 42 AGC using the Bormann classification. Additionally, depth of invasion was correctly presented in 38 of 51 AGC. Hybrid PET/CT gastrography for regional lymph node (LN) metastasis in the EGC and AGC showed the sensitivity of 75% and 83.9%, and specificity 90.5% and 55%, respectively. Conclusion: Hybrid PET/CT gastrography is the more intuitive and comprehensive method for the preoperative evaluation of gastric cancer than conventional PET/CT.


2019 ◽  
Vol 120 (8) ◽  
pp. 12376-12381 ◽  
Author(s):  
Parisa ZiaSarabi ◽  
Saba Sorayayi ◽  
AmirReza Hesari ◽  
Faezeh Ghasemi

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Ding Shi ◽  
Xiao-xia Xi

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.


BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Hai-Ning Liu ◽  
Hao Wu ◽  
Yu-Jen Tseng ◽  
Yan-Jie Chen ◽  
Dan-Ying Zhang ◽  
...  

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