Biomarker For Detection Of Gastric Cancer Research Articles

Gastric juice piR-015551: A promising prognostic biomarker for gastric cancer.

e16074 Background: Emerging reports demonstrated that PIWI-interacting RNAs (piRNAs) played an indispensable role in tumorigenesis. However, it still remains elusive whether piR-015551 in gastric juice specific in stomach could be employed as a biomarker for gastric cancer (GC). The present work is aiming at exploring the possibility of piR-015551 in gastric juice as a potential marker to judge for diagnosis and prognosis of gastric cancer. Methods: Gastric juice was collected from 66 GC patients and 66 healthy individuals. Quantitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR) was employed to measure the levels of piR-015551 expression. Then, the pattern of piR-015551 expression in gastric juice was determined between GC patients and healthy individuals. A receiver operating characteristic (ROC) curve was constructed for distinguishing GC from healthy individuals. Results: Gastric juice piR-015551 levels in GC were higher than those of controls (P < 0.0001). The value of area under ROC (AUC) was 0.885 (sensitivity, 90.9%; specificity, 74.2%; 95% confidence interval, 0.8286 to 0.9414). High gastric juice piR-015551 expression was signally correlated with tumor size (P = 0.013) and TNM stage (P = 0.001). GC patients with high piR-015551 expression in gastric juice exerted a poorer overall survival (OS) (P = 0.0152) and progression-free survival (PFS) (P = 0.013). COX regression analysis verified that gastric juice piR-015551 expression was an independent prognostic risk variable for OS (P < 0.05). Conclusions: The current study suggested that piR-015551 in gastric juice had the potential to be a useful biomarker for GC detection and prognosis prediction.

Multi-faceted attributes of salivary cell-free DNA as liquid biopsy biomarkers for gastric cancer detection

BackgroundRecent advances in circulating cell-free DNA (cfDNA) analysis from biofluids have opened new avenues for liquid biopsy (LB). However, current cfDNA LB assays are limited by the availability of existing information on established genotypes associated with tumor tissues. Certain cancers present with a limited list of established mutated cfDNA biomarkers, and thus, nonmutated cfDNA characteristics along with alternative biofluids are needed to broaden the available cfDNA targets for cancer detection. Saliva is an intriguing and accessible biofluid that has yet to be fully explored for its clinical utility for cancer detection.MethodsIn this report, we employed a low-coverage single stranded (ss) library NGS pipeline “Broad-Range cell-free DNA-Seq” (BRcfDNA-Seq) using saliva to comprehensively investigate the characteristics of salivary cfDNA (ScfDNA). The identification of cfDNA features has been made possible by applying novel cfDNA processing techniques that permit the incorporation of ultrashort, ss, and jagged DNA fragments. As a proof of concept using 10 gastric cancer (GC) and 10 noncancer samples, we examined whether ScfDNA characteristics, including fragmentomics, end motif profiles, microbial contribution, and human chromosomal mapping, could differentiate between these two groups.ResultsIndividual and integrative analysis of these ScfDNA features demonstrated significant differences between the two cohorts, suggesting that disease state may affect the ScfDNA population by altering nuclear cleavage or the profile of contributory organism cfDNA to total ScfDNA. We report that principal component analysis integration of several aspects of salivary cell-free DNA fragmentomic profiles, genomic element profiles, end-motif sequence patterns, and distinct oral microbiome populations can differentiate the two populations with a p value of < 0.0001 (PC1).ConclusionThese novel features of ScfDNA characteristics could be clinically useful for improving saliva-based LB detection and the eventual monitoring of local or systemic diseases.

Comprehensive bioinformatics and experimental analysis of SH3PXD2B reveals its carcinogenic effect in gastric carcinoma

AimsWe aim to explore the possibility and mechanism of SH3PXD2B as a reliable biomarker for gastric cancer (GC). Main methodsWe used public databases to analyze the molecular characteristics and disease associations of SH3PXD2B, and KM database for prognostic analysis. The TCGA gastric cancer dataset was used for single gene correlation, differential expression, functional enrichment and immunoinfiltration analysis. SH3PXD2B protein interaction network was constructed by the STRING database. And the GSCALite database was used to explore sensitive drugs and perform SH3PXD2B molecular docking. The impact of SH3PXD2B silencing and over-expression by lentivirus transduction on the proliferation and invasion of human GC HGC-27 and NUGC-3 cells was determined. Key findingsThe high expression of SH3PXD2B in gastric cancer was related to the poor prognosis of patients. It may affect the progression of gastric cancer by forming a regulatory network with FBN1, ADAM15 and other molecules, and the mechanism may involve regulating the infiltration of Treg, TAM and other immunosuppressive cells. The cytofunctional experiments verified that it significantly promoted the proliferation and migration of gastric cancer cells. In addition, we found that some drugs were sensitive to the expression of SH3PXD2B such as sotrastaurin, BHG712 and sirolimus, and they had strong molecular combination of SH3PXD2B, which may provide guidance for the treatment of gastric cancer. SignificanceOur study strongly suggests that SH3PXD2B is a carcinogenic molecule that can be used as a biomarker for GC detection, prognosis, treatment design, and follow-up.

Gastric Cancer: The Microbiome Beyond Helicobacter pylori.

Gastric cancer remains an important global health burden. Helicobacter pylori is the major etiological factor in gastric cancer, infecting the stomach of almost half of the population worldwide. Recent progress in microbiome research offered a new perspective on the complexity of the microbial communities of the stomach. Still, the role of the microbiome of the stomach beyond H. pylori in gastric carcinogenesis is not well understood and requires deeper investigation. The gastric bacterial communities of gastric cancer patients are distinct from those of patients without cancer, but the microbial alterations that occur along the process of gastric carcinogenesis, and the mechanisms through which microorganisms influence cancer progression still need to be clarified. Except for Epstein-Barr virus, the potential significance of the virome and of the mycobiome in gastric cancer have received less attention. This chapter updates the current knowledge regarding the gastric microbiome, including bacteria, viruses, and fungi, within the context of H. pylori-mediated carcinogenesis. It also reviews the possible roles of the local gastric microbiota, as well as the microbial communities of the oral and gut ecosystems, as biomarkers for gastric cancer detection. Finally, it discusses future perspectives and acknowledges limitations in the area of microbiome research in the gastric cancer setting, to which further research efforts should be directed. These will be fundamental not only to increase our current understanding of host-microbial interactions but also to facilitate translation of the findings into innovative preventive, diagnostic, and therapeutic strategies to decrease the global burden of gastric cancer.

SLC6A3 as a potential circulating biomarker for gastric cancer detection and progression monitoring

BackgroundGastric cancer is a malignant tumor originating from the gastric mucosal epithelium, with no obvious symptoms at the early stage. The dopamine transporter gene (SLC6A3) is involved in the metabolism of dopamine and catecholamine and is a potential gene for Parkinson's disease and alcoholism. But the role of SLC6A3 in gastric cancer is still unknown. The aim of our study is to investigate the potential diagnostic value of SLC6A3 on gastric cancer. MethodsQuantitative real-time PCR (RT-qPCR) was used to detect the expression of SLC6A3 in clinical samples and cells. A total of 246 samples were enrolled in this study (26 pairs of tissue samples; Serum of 113 patients with gastric cancer, 51 polyps patients and 56 healthy controls). The diagnostic value of SLC6A3 was evaluated by the ROC curve and analyzed the changes of SLC6A3 expression before and after surgery. The prognostic value, interacting proteins and related pathways of SLC6A3 were evaluated by TCGA analysis in UALCAN database (http://ualcan.path.uab.edu/). ResultsThe expression level of SLC6A3 in gastric cancer was significantly higher than that in controls. Further, the proportion under the ROC curve (AUC) for SLC6A3, CEA and CA19-9 was 0.818 (95 % confidence interval [CI]: 0.754 to 0.883, P < 0.001), and the expression level of SLC6A3 in the serum of patients with gastric cancer decreased significantly after surgery (P < 0.001). Bioinformatic enrichment analysis of SLC6A3 displayed the relevant metabolic pathways involved in its interacting proteins. ConclusionSLC6A3 is involved in the occurrence and development of gastric cancer and can be used as a potential diagnostic indicator for gastric cancer.

Update on molecular biomarkers for diagnosis and prediction of prognosis and treatment responses in gastric cancer.

Gastric cancer (GC) is one of the leading causes of cancer-related deaths worldwide, and its high mortality rate is a serious problem in many regions. To improve prognosis, it is necessary to identify novel biomarkers for the early detection of GC, along with its prognosis, risk of metastatic recurrence, and predicted response to chemotherapy, and to develop individualized treatment strategies. Advances in microarray and sequencing techniques have led to the elucidation of cancer-related gene mutations and aberrant expression levels, which have deepened our knowledge of GC. Further searches for sensitive biomarkers are needed to improve the management of patients with GC. In this review article, we update the current knowledge of GC biomarkers, examine recently published literature, and introduce some representative molecules.

Peripheral Blood-Based DNA Methylation of Long Non-Coding RNA H19 and Metastasis-Associated Lung Adenocarcinoma Transcript 1 Promoters are Potential Non-Invasive Biomarkers for Gastric Cancer Detection.

IntroductionThe early diagnosis and detection could greatly improve the clinical outcome of gastric cancer (GC) patients. However, the non-invasive biomarkers for GC detection remain to be identified.MethodWe used online databases (GEPIA, UALCAN, Kaplan-Meier plotter, TIMER, and MEXPRESS) to explore the association between H19 or metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) expression in tissues and the occurrence, development, prognosis, the levels of immune cell infiltration, and methylation of GC; the correlation between mRNA expression and DNA methylation levels of genes were also examined. Methylation levels of H19 or MALAT1 in peripheral blood were compared between 150 GC patients and 100 healthy controls (HCs). Predictive nomograms were constructed among female and male groups for GC diagnosis. The calibration curves, Hosmer–Lemeshow test, and decision curve analysis were also used to examine the nomograms’ predictive ability and clinical values.ResultsUsing multiple online databases, we found that the mRNA expressions of H19 and MALAT1 in tissues were related to the occurrence of GC, and such expressions were associated with immune cell infiltration of GC and negatively correlated with DNA methylation levels of H19 and MALAT1. H19 gene, H19C island, and MALAT1B island, as well as 20 CpG sites were hypermethylated in peripheral blood of GC patients compared with HCs; similar results were also found in female and male groups (P < .05 for all). The combination of H19c3, H19c4, MALAT1b12, and age, as well as the combination of H19b7, H19c1, H19c5, and age in the nomograms could distinguish GC patients from HCs in the female group and male group, respectively.ConclusionWe found statistically significant hypermethylation of H19 and MALAT1 promoters in GC patients, and meaningful sensitivity and specificity of MALAT1 and H19 methylation in discriminating GC and HCs were observed in both female and male groups, which indicates that the peripheral blood-based DNA methylation of H19 and MALAT1 could act as potential non-invasive biomarkers for the diagnosis of GC.

Abstract 739: A disintegrin and metalloproteinase 8 as a potential blood biomarker for early diagnosis of gastric cancer

Abstract Purpose: We evaluate the clinical significance of A Disintegrin and Metalloproteinase 8 (ADAM 8) as a potential blood biomarker for gastric cancer (GC). Materials &amp; Methods: Blood ADAM 8 was measured by ELISA and CEA, Cytokines/chemokines (IL-23, SDF-1α/CXCL12, IL-8, and sCD40L) were measured by chemiluminescent immunoassay. They were compared among 5 groups; normal/gastritis, high-risk, early GC (EGC), advanced GC (AGC) without distant metastasis and AGC with distant metastasis by one-way analysis of variance in both training (n=80) and validation dataset (n=241). Clinicopathological features of GC and GC-associated cytokines were evaluated for their correlations with blood ADAM 8. To evaluate the diagnostic accuracy to predict GC, receiver operating characteristic (ROC) curve and logistic regression were used. Results: In both training and validation dataset, blood ADAM 8 increased along the GC carcinogenesis (ANOVA, all of p&amp;lt;0.01). Blood ADAM 8 were significantly higher in EGC and AGC compared with high-risk and normal (post-hoc Bonferroni, all of p&amp;lt;0.01). However, there was no significant difference among cancer groups. Blood ADAM 8 was correlated with N-stage (Spearman's correlation, γs,=0.320, p=0.011), but not correlated with T-stage or M-stage. Pearson's correlations showed blood ADAM 8 was closely correlated with pre-inflammatory cytokines (IL-23, SDF-1α/CXCL12, all of p&amp;lt;0.05), but not correlated with pro-angiogenic cytokines (IL-8, sCD40L). ROC curve and logistic regression demonstrated serum ADAM 8 showed higher diagnostic accuracy (sensitivity, 73.7%; specificity, 86.2%) than CEA (sensitivity, 23.1%; specificity, 91.4%). Combination of ADAM 8 and CEA more increased the diagnostic accuracy to predict GC (sensitivity, 81.8%; specificity, 84.0%). Conclusion: Blood ADAM 8 is a promising biomarker for early detection of GC. Citation Format: Jae-Il Choi, Joon Seong Park, Hye Won Chung, Jong-Baeck Lim. A disintegrin and metalloproteinase 8 as a potential blood biomarker for early diagnosis of gastric cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 739.

Gastric juice piR-1245: A promising prognostic biomarker for gastric cancer.

e16574 Background: Emerging reports demonstrated that PIWI-interacting RNAs (piRNAs) played an indispensable role in tumorigenesis. However, it still remains elusive whether piR-1245 in gastric juice specific in stomach could be employed as a biomarker for gastric cancer (GC). The present work is aiming at exploring the possibility of piR-1245 in gastric juice as a potential marker to judge for diagnosis and prognosis of gastric cancer. Methods: Gastric juice was collected from 66 GC patients and 66 healthy individuals. Quantitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR) was employed to measure the levels of piR-1245 expression. Then, the pattern of piR-1245 expression in gastric juice was determined between GC patients and healthy individuals. A receiver operating characteristic (ROC) curve was constructed for distinguishing GC from healthy individuals. Results: Gastric juice piR-1245 levels in GC were higher than those of controls (P &lt; 0.0001). The value of area under ROC (AUC) was 0.885 (sensitivity, 90.9%; specificity, 74.2%; 95% confidence interval, 0.8286 to 0.9414). High gastric juice piR-1245 expression was signally correlated with tumor size (P = 0.013) and TNM stage (P = 0.001). GC patients with high piR-1245 expression in gastric juice exerted a poorer overall survival (OS) (P = 0.0152) and progression-free survival (PFS) (P = 0.013). COX regression analysis verified that gastric juice piR-1245 expression was an independent prognostic risk variable for OS (P &lt; 0.05). Conclusions: The current study suggested that piR-1245 in gastric juice had the potential to be a useful biomarker for GC detection and prognosis prediction.

Gastric juice piR-1245: A promising prognostic biomarker for gastric cancer.

BackgroundEmerging reports demonstrated that PIWI‐interacting RNAs (piRNAs) played an indispensable role in tumorigenesis. However, it still remains elusive whether piR‐1245 in gastric juice specific in stomach could be employed as a biomarker for gastric cancer (GC). The present work is aiming at exploring the possibility of piR‐1245 in gastric juice as a potential marker to judge for diagnosis and prognosis of gastric cancer.MethodsGastric juice was collected from 66 GC patients and 66 healthy individuals. Quantitative real‐time reverse transcriptase polymerase chain reaction (qRT‐PCR) was employed to measure the levels of piR‐1245 expression. Then, the pattern of piR‐1245 expression in gastric juice was determined between GC patients and healthy individuals. A receiver operating characteristic (ROC) curve was constructed for distinguishing GC from healthy individuals.ResultsGastric juice piR‐1245 levels in GC were higher than those of controls (P < .0001). The value of area under ROC (AUC) was 0.885 (sensitivity, 90.9%; specificity, 74.2%; 95% confidence interval, 0.8286 to 0.9414). High gastric juice piR‐1245 expression was signally correlated with tumor size (P = .013) and TNM stage (P = .001). GC patients with high piR‐1245 expression in gastric juice exerted a poorer overall survival (OS) (P = .0152) and progression‐free survival (PFS) (P = .013). COX regression analysis verified that gastric juice piR‐1245 expression was an independent prognostic risk variable for OS (P < .05).ConclusionsThe current study suggested that piR‐1245 in gastric juice had the potential to be a useful biomarker for GC detection and prognosis prediction.

RETRACTED ARTICLE: CircPSMC3 suppresses the proliferation and metastasis of gastric cancer by acting as a competitive endogenous RNA through sponging miR-296-5p

BackgroundCircular RNAs (circRNAs) are a class of non-coding RNAs with a loop structure, but its functions remain largely unknown. Growing evidence has revealed that circRNAs play a striking role as functional RNAs in the progression of malignant disease. However, the precise role of circRNAs in gastric cancer (GC) remains unclear.MethodsCircRNAs were determined by human circRNA array analysis and quantitative reverse transcription polymerase reaction. Luciferase reporter, RNA pull down, and fluorescence in situ hybridization assays were employed to test the interaction between circPSMC3 and miR-296-5p. Ectopic over-expression and siRNA-mediated knockdown of circPSMC3, proliferation, migration and invasion in vitro, and in vivo experiment of metastasis were used to evaluate the function of circPSMC3.ResultsCircPSMC3 rather than liner PSMC3 mRNA was down-regulated in GC tissues, corresponding plasmas from GC patients as well as GC cell lines compared to normal controls. Lower circPSMC3 expression in GC patients was correlated with higher TNM stage and shorter overall survival. Over-expression of circPSMC3 and miR-296-5p inhibitor could inhibit the tumorigenesis of gastric cancer cells in vivo and vitro whereas co-transfection of circPSMC3 and miRNA-296-5p could counteract this effect. Importantly, we demonstrated that circPSMC3 could act as a sponge of miR-296-5p to regulate the expression of Phosphatase and Tensin Homolog (PTEN), and further suppress the tumorigenesis of gastric cancer cells.ConclusionOur study reveals that circPSMC3 can serve as a novel potential circulating biomarker for detection of GC. CircPSMC3 participates in progression of gastric cancer by sponging miRNA-296-5p with PTEN, providing a new insight into the treatment of gastric cancer.

Screening Biomarker as an Alternative to Endoscopy for the Detection of Early Gastric Cancer: The Combination of Serum Trefoil Factor Family 3 and Pepsinogen.

Objective The serum pepsinogen test has limitation in its predictive power as a noninvasive biomarker for gastric cancer screening. We aimed to investigate whether the combination of TFF3 and pepsinogen could be an effective biomarker for the detection of gastric cancer even in the early stages. Methods In total, 281 patients with early gastric cancer (EGC), who underwent endoscopic submucosal dissection in Korea, and 708 healthy individuals from Japan were enrolled in the derivation cohort. The validation cohort included 30 Korean patients with EGC and 30 Korean healthy control blood donors. Serum TFF3 levels were examined using enzyme-linked immunosorbent assay. Results Using a cutoff of 6.73 ng/mL in the derivation cohort, the sensitivity of the combination of tests for EGC detection was superior (87.5%) to that of TFF3 (80.4%) or pepsinogen test alone (39.5%). Similarly, in the validation cohort, the sensitivity of TFF3 plus pepsinogen was higher (90.4%) than that of TFF3 (80.0%) or pepsinogen test alone (33.3%). Conclusion The combination of serum TFF3 and pepsinogen is a more effective noninvasive biomarker for gastric cancer detection compared with pepsinogen or TFF3 alone, even in EGC. This trial is registered with NCT03046745.

A panel consisting of three novel circulating lncRNAs, is it a predictive tool for gastric cancer?

Early detection is vital for prolonging 5‐year survival for patients with gastric cancer (GC). Numerous studies indicate that circulating long non‐coding RNAs (lncRNAs) can be used to diagnose malignant tumours. This study aimed to investigate the capacity of novel lncRNAs for diagnosing GC. A lncRNA microarray assay was used to screen differentially expressed lncRNAs between plasma of patients with GC and healthy controls. Plasma samples from 100 patients with healthy controls were used to construct a multiple‐gene panel. An additional 50 pairs of GC patients with healthy controls were used to evaluate the diagnostic accuracy of the panel. Expression levels of lncRNAs were quantified through real‐time polymerase chain reaction. The receiver operating characteristic curve and area under curve (AUC) were used to estimate the diagnostic capacity. We identified three lncRNAs, CTC‐501O10.1, AC100830.4 and RP11‐210K20.5 that were up‐regulated in the plasma of GC patients with AUCs 0.724, 0.730 and 0.737, respectively (P < .01). Based on the logistic regression model, the combined AUC of the three lncRNAs was 0.764. The AUC of the panel was 0.700 in the validation cohort. These findings indicate that plasma lncRNAs can serve as potential biomarkers for detection of GC.

Diagnostic value of a plasma microRNA signature in gastric cancer: a microRNA expression analysis.

The differential expression of microRNAs (miRNAs) in plasma of gastric cancer (GC) patients may serve as a diagnostic biomarker. A total of 33 miRNAs were identified through the initial screening phase (3 GC pools vs. 1 normal control (NC) pool) using quantitative reverse transcription polymerase chain reaction (qRT-PCR) based Exiqon panel (miRCURY-Ready-to-Use-PCR-Human-panel-I + II-V1.M). By qRT-PCR, these miRNAs were further assessed in training (30 GC VS. 30 NCs) and testing stages (71 GC VS. 61 NCs). We discovered a plasma miRNA signature including five up-regulated miRNAs (miR-185, miR-20a, miR-210, miR-25 and miR-92b), and this signature was evaluated to be a potential diagnostic marker of GC. The areas under the receiver operating characteristic curve of the signature were 0.86, 0.74 and 0.87 for the training, testing and the external validation stages (32 GC VS. 18 NCs), respectively. The five miRNAs were consistently dysregulated in GC tissues (n = 30). Moreover, miR-185 was decreased while miR-20a, miR-210 and miR-92b were increased in arterial plasma (n = 38). However, none of the miRNAs in the exosomes showed different expression between 10 GC patients and 10 NCs. In conclusion, we identified a five-miRNA signature in the peripheral plasma which could serve as a non-invasive biomarker in detection of GC.

963: Potential of tumour-associated autoantibodies as biomarkers for gastric cancer detection

963: Potential of tumour-associated autoantibodies as biomarkers for gastric cancer detection

Identification of Circulating MicroRNAs as Novel Potential Biomarkers for Gastric Cancer Detection: A Systematic Review and Meta-Analysis

Recent studies show that microRNAs (miRNAs) in serum or plasma can be stably detected and used as potential biomarkers in cancer diagnosis. To systematically evaluate circulating miRNAs from numerous gastric cancer (GC) expression profiling studies and to determine miRNA biomarkers for GC detection. A systematic review and meta-analysis of published studies comparing the circulating miRNA expressions between GC patients and healthy controls were carried out. An miRNA ranking system that considered the number of comparisons in agreement, total number of samples, and average fold change was used. Then the receiver-operating characteristic curve (ROC) results of the top miRNAs were combined to further evaluate their diagnostic value by using Meta-disc 1.4. A total of 35 miRNAs were reported in the 22 included studies, with 7 miRNAs reported in at least 2 studies. MiR-21 is the most consistently reported miRNA with upregulation. In further analysis, the sensitivity, specificity, and area under the curve of summary ROC for miR-21 in GC diagnosis are 0.78 (95 % CI 0.71-0.85), 0.89 (95 % CI 0.82-0.94), and 0.91, respectively. Circulating miR-21 can serve as a potential biomarker for detection of GC.

Screening and Triage Test for Early Detection of Gastric Cancer (STEAD-GC): A noninvasive trial for early detection of gastric cancer.

17 Background: Gastric cancer (GC) is the second leading cause of cancer-related deaths worldwide. Previously, we identified a potential biomarker for non-invasive detection of GC, the DNA methylation of the promoter region of Reprimo, a p53-dependent G2 arrest mediator candidate (Clin Cancer Res 2008;14:6264-9). Furthermore, we developed a quantitative assay (MethyLight) for a mass screening of GC (DDW2011-1029128). Here we reported the preliminary findings of our ongoing prospective trial STEAD-GC (Screening and Triage test for Early Detection of Gastric Cancer) which is being conducted in Chile, a country with a high mortality rate for GC. Methods: Twenty GC cases (tumor, non-tumor tissues and plasma samples) and 41 symptomatic chronic gastritis cases (29 tissues and 12 pairs of tissue and plasma samples) were evaluated for Reprimo levels by MethyLight after DNA extraction and bisulfite conversion. Results: Concentrations of DNA were similar in both groups (Avg 32.2 ng/ml [range: 8.9-70.8 ng/ml]). The average DNA levels of Reprimo were higher in GC [964,215 copies/ml, 539,593 copies/ml and 80,113 copies/ml in tumor, non-tumor and plasma, respectively] but lower in symptomatic chronic gastritis [137,721 copies/ml and 8,387 copies/ml, tissue and plasma, respectively]. Methods: Twenty GC cases (tumor, non-tumor tissues, and plasma samples) and 41 symptomatic chronic gastritis cases (29 tissues and 12 pairs of tissue and plasma samples) were evaluated for Reprimo levels by MethyLight after DNA extraction and bisulfite conversion. Conclusions: By using our previous cut-off of 15,125 copies/ml, our method correctly identified 10 out of 12 gastritis cases and 16 out of 20 GC cases (p value &lt;0.001). Our data confirms our non-invasive method for early detection of GC may be suitable for a mass screening of GC.

MiRNA-199a-3p in Plasma as a Potential Diagnostic Biomarker for Gastric Cancer

MicroRNA (miRNA) has been shown the potential of cancer diagnosis. We investigated whether plasma miRNA expression could discriminate between patients with and without gastric cancer. This study was divided into three steps: (1) miRNA microarray profiling on plasma samples from 20 gastric cancer patients and 20 healthy controls; (2) miRNA selection by real-time qRT-PCR on 30 pairs of plasma from patients and controls; and (3) qRT-PCR validation on an independent set of plasma from 180 gastric cancer patients, 80 healthy controls, and 20 patients with gastric precancerous diseases. Of the 959 human miRNAs analyzed by microarray, 37 up-regulated miRNAs and seven down-regulated miRNAs were found in gastric cancer plasma. Of the seven discrepant miRNAs validated on the plasma from 30 gastric cancer patients and 30 healthy controls, both miRNA-199a-3p and miRNA-151-5p were significantly elevated (p < 0.05) and were significantly reduced after surgery (p < 0.05) in gastric cancer patients. Further large-scale validation showed that these two miRNAs expressions in plasma were significantly higher in gastric cancer patients than healthy controls and patients with gastric precancerous diseases, respectively. However, only the expression of miRNA-199a-3p in plasma was significantly associated with tumor invasion and with lymph node metastasis and tumor, node, metastasis stage. This marker yielded an area under the receiver operating characteristic curve area of 0.837 with 80 % sensitivity and 74 % specificity in discriminating gastric cancer patients from healthy controls. In gastric cancer tissue, miRNA-199a-3p was expressed in the cytoplasm of tumor cells. miRNA-199a-3p in plasma could be a novel potential diagnostic biomarker for gastric cancer detection.

Plasma microRNAs, miR-223, miR-21 and miR-218, as Novel Potential Biomarkers for Gastric Cancer Detection

BackgroundMicroRNAs (miRNAs), endogenous small non-coding RNAs, are stably detected in human plasma. Early diagnosis of gastric cancer (GC) is very important to improve the therapy effect and prolong the survival of patients. We aimed to identify whether four miRNAs (miR-223, miR-21, miR-218 and miR-25) closely associated with the tumorigenesis or metastasis of GC can serve as novel potential biomarkers for GC detection.MethodologyWe initially measured the plasma levels of the four miRNAs in 10 GC patients and 10 healthy control subjects by quantitative reverse transcription polymerase chain reaction (qRT-PCR), and then compared plasma miRNA results with the expressions in cancer tissues from eight GC patients. Finally, the presence of miR-223, miR-21 and miR-218 in the plasma was validated in 60 GC patients and 60 healthy control subjects, and the areas under the receiver operating characteristic (ROC) curves of these miRNAs were analyzed.ResultsWe found that the plasma levels of miR-223 (P<0.001) and miR-21 (P<0.001) were significantly higher in GC patients than in healthy controls, while miR-218 (P<0.001) was significantly lower. The ROC analyses yielded the AUC values of 0.9089 for miR-223, 0.7944 for miR-21 and 0.7432 for miR-218, and combined ROC analysis revealed the highest AUC value of 0.9531 in discriminating GC patients from healthy controls. Moreover, the plasma levels of miR-223 (P<0.001) and miR-21 (P = 0.003) were significantly higher in GC patients with stage I than in healthy controls. Furthermore, the plasma levels of miR-223 were significantly higher in GC patients with helicobacter pylori (Hp) infection than those without (P = 0.014), and significantly higher in healthy control subjects with Hp infection than those without (P = 0.016).ConclusionsPlasma miR-223, miR-21 and miR-218 are novel potential biomarkers for GC detection.

Overexpression of ADP‐ribosylation factor 1 in human gastric carcinoma and its clinicopathological significance

Gastric cancer is the sixth leading cause of cancer-related death in Taiwan, and the identification of related factors is essential to increase patient survival. ADP-ribosylation factor 1 (ARF1) was initially identified using 2-D electrophoresis combined with MALDI-time-of-flight mass spectrometry. ADP-ribosylation factor 1 belongs to the Ras superfamily or GTP-binding protein family and has been shown to enhance cell proliferation. In the current study, we evaluated the potential of ARF1 as a biomarker for gastric cancer detection. ADP-ribosylation factor 1 mRNA was upregulated in tumor tissues (compared with adjacent non-tumor tissues, n = 55) in approximately 67.2% of gastric cancer patients. Expression of ARF1 protein was additionally observed using Western blot and immunohistochemistry (IHC) analyses. The clinicopathological correlations of ARF1 were further evaluated. Elevated ARF1 expression was strongly correlated with lymph node metastasis (P = 0.008), serosal invasion (P = 0.046), lymphatic invasion (P = 0.035), and pathological staging (P = 0.010). Moreover, the 5-year survival rate for the lower ARF1 expression group (n = 50; IHC score < 90) was higher than that of the higher expression group (n = 60; IHC score ≥ 90) (P = 0.0228, log-rank test). To establish the specific function of ARF1 in human gastric cancer, isogenic ARF1-overexpressing cell lines were prepared. Our results showed that ARF1-overexpressing clones display enhanced cell proliferation, migration, and invasion. Furthermore, ARF1-overexpression might contribute to poor prognosis of patients. These findings collectively support the utility of ARF1 as a novel prognostic marker for gastric cancer and its role in cell invasion.