Evaluation of miR-22 and miR-20a as diagnostic biomarkers for gastric cancer

2017 ◽  
Vol 6 (2) ◽  
pp. 16-16 ◽  
Author(s):  
Zahra Jafarzadeh-Samani ◽  
Sareh Sohrabi ◽  
Khadije Shirmohammadi ◽  
Hosein Effatpanah ◽  
Reza Yadegarazari ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Diagnostic Biomarkers

scholarly journals The Extracellular Matrix: An Accomplice in Gastric Cancer Development and Progression

Cells ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 394 ◽  
Author(s):  
Ana Margarida Moreira ◽  
Joana Pereira ◽  
Soraia Melo ◽  
Maria Sofia Fernandes ◽  
Patrícia Carneiro ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Extracellular Matrix ◽  
Expression Patterns ◽  
Predictive Biomarkers ◽  
Gastric Epithelium ◽  
Comprehensive Overview ◽  
Diagnostic Biomarkers ◽  
Malignant Lesions ◽  
And Behavior ◽  
Disease Stages

The extracellular matrix (ECM) is a dynamic and highly organized tissue structure, providing support and maintaining normal epithelial architecture. In the last decade, increasing evidence has emerged demonstrating that alterations in ECM composition and assembly strongly affect cellular function and behavior. Even though the detailed mechanisms underlying cell-ECM crosstalk are yet to unravel, it is well established that ECM deregulation accompanies the development of many pathological conditions, such as gastric cancer. Notably, gastric cancer remains a worldwide concern, representing the third most frequent cause of cancer-associated deaths. Despite increased surveillance protocols, patients are usually diagnosed at advanced disease stages, urging the identification of novel diagnostic biomarkers and efficient therapeutic strategies. In this review, we provide a comprehensive overview regarding expression patterns of ECM components and cognate receptors described in normal gastric epithelium, pre-malignant lesions, and gastric carcinomas. Important insights are also discussed for the use of ECM-associated molecules as predictive biomarkers of the disease or as potential targets in gastric cancer.

scholarly journals Plasma long noncoding RNAs PANDAR, FOXD2-AS1, and SMARCC2 as potential novel diagnostic biomarkers for gastric cancer

2019 ◽  
Vol Volume 11 ◽  
pp. 6175-6184 ◽  
Author(s):  
Ziwei Yang ◽  
Yanfei Sun ◽  
Rongfeng Liu ◽  
Yanyan Shi ◽  
Shigang Ding
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Diagnostic Biomarkers

scholarly journals Circulating exosomal small RNAs are promising non‐invasive diagnostic biomarkers for gastric cancer

2020 ◽  
Vol 24 (24) ◽  
pp. 14502-14513 ◽  
Author(s):  
Lichen Ge ◽  
Nan Zhang ◽  
Dandan Li ◽  
Yingmin Wu ◽  
Hongsheng Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Small Rnas ◽  
Diagnostic Biomarkers ◽  
Non Invasive

scholarly journals May Circulating microRNAs be Gastric Cancer Diagnostic Biomarkers?

2015 ◽  
Vol 6 (12) ◽  
pp. 1206-1213 ◽  
Author(s):  
Xiaoling Wu ◽  
Xiaohui Tan ◽  
Sidney W. Fu
Keyword(s):  
Gastric Cancer ◽  
Diagnostic Biomarkers ◽  
Circulating Micrornas ◽  
Cancer Diagnostic

scholarly journals Correction to: Circulating blood levels of IL-6, IFN-γ, and IL-10 as potential diagnostic biomarkers in gastric cancer: a controlled study

BMC Cancer ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Norma Sánchez-Zauco ◽  
Javier Torres ◽  
Alejandro Gómez ◽  
Margarita Camorlinga-Ponce ◽  
Leopoldo Muñoz-Pérez ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Controlled Study ◽  
Blood Levels ◽  
Diagnostic Biomarkers ◽  
Ifn Γ

scholarly journals Circulating blood levels of IL-6, IFN-γ, and IL-10 as potential diagnostic biomarkers in gastric cancer: a controlled study

BMC Cancer ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Norma Sánchez-Zauco ◽  
Javier Torres ◽  
Alejandro Gómez ◽  
Margarita Camorlinga-Ponce ◽  
Leopoldo Muñoz-Pérez ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Controlled Study ◽  
Blood Levels ◽  
Diagnostic Biomarkers ◽  
Ifn Γ

scholarly journals Identification of Serum Circulating MicroRNAs as Novel Diagnostic Biomarkers of Gastric Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Yunjin Yao ◽  
Yongfeng Ding ◽  
Yuntong Bai ◽  
Quan Zhou ◽  
Hyun Lee ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Differential Expression Analysis ◽  
Area Under The Curve ◽  
High Specificity ◽  
Gene Expression Omnibus ◽  
Circulating Microrna ◽  
Diagnostic Biomarkers ◽  
Non Invasive ◽  
Promising Tool ◽  
Gastric Cancer Screening

Gastric cancer (GC) is one of the leading causes of cancer-associated deaths worldwide. Due to the lack of typical symptoms and effective biomarkers for non-invasive screening, most patients develop advanced-stage GC by the time of diagnosis. Circulating microRNA (miRNA)-based panels have been reported as a promising tool for the screening of certain types of cancers. In this study, we performed differential expression analysis of miRNA profiles of plasma samples obtained from gastric cancer and non-cancer patients using two independent Gene Expression Omnibus (GEO) datasets: GSE113486 and GSE124158. We identified three miRNAs, hsa-miR-320a, hsa-miR-1260b, and hsa-miR-6515-5p, to distinguish gastric cancer cases from non-cancer controls. The three miRNAs showed an area under the curve (AUC) over 0.95 with high specificity (>93.0%) and sensitivity (>85.0%) in both the discovery datasets. In addition, we further validated these three miRNAs in two external datasets: GSE106817 [sensitivity: hsa-miR-320a (99.1%), hsa-miR-1260b (97.4%), and hsa-miR-6515-5p (92.2%); specificity: hsa-miR-320a (88.8%), hsa-miR-1260b (89.6%), and hsa-miR-6515-5p (88.7%); and AUC: hsa-miR-320a (96.3%), hsa-miR-1260b (97.4%), and hsa-miR-6515-5p (94.6%)] and GSE112264 [sensitivity: hsa-miR-320a (100.0%), hsa-miR-1260b (98.0%), and hsa-miR-6515.5p (98.0%); specificity: hsa-miR-320a (100.0%), hsa-miR-1260b (100.0%), and hsa-miR-6515.5p (92.7%); and AUC: hsa-miR-320a (1.000), hsa-miR-1260b (1.000), and hsa-miR-6515-5p (0.988)]. On the basis of these findings, the three miRNAs can be used as potential biomarkers for gastric cancer screening, which can provide patients with a higher chance of curative resection and longer survival.

scholarly journals Evaluation of Important Molecular Pathways and Candidate Diagnostic Biomarkers of Noninvasive to Invasive Stages in Gastric Cancer by In Silico Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Sara Tutunchi ◽  
Saeedeh Akhavan ◽  
Ahmad Bereimipour ◽  
Sayyed Mohammad Hossein Ghaderian
Keyword(s):  
Gastric Cancer ◽  
Extracellular Matrix ◽  
Bioinformatics Analysis ◽  
In Silico Analysis ◽  
Protein Network ◽  
Diagnostic Biomarkers ◽  
Highly Expressed Genes ◽  
Diagnosis Of Cancer ◽  
Speed Up ◽  
Gastric Cancer Patients

Gastric cancer affects millions of people each year; it is the fifth deadliest cancer globally. Due to failure to perform routine tests such as endoscopy, it is usually diagnosed in the invasive stages. Therefore, finding diagnostic biomarkers in blood can help to speed up the initial diagnosis of cancer. This study aimed to find appropriate diagnostic biomarkers in the extracellular matrix of noninvasive to invasive stages of gastric cancer patients, using bioinformatics analysis. First, we selected the appropriate datasets from the GEO database. We evaluated the genes’ signaling pathways, biological processes, and molecular functions. More accurately, we assessed the genes, in which their protein products are released into the extracellular matrix; we evaluated their protein network. Then, we validated the candidate proteins in the GEPIA and TCGA databases. The extracellular matrix, tyrosine kinase receptors, and immune response pathways are effective factors, which are related to the highly expressed genes and metabolism; cell cycle pathways are also impressive on low-expression genes. 69 highly expressed proteins are released into the extracellular matrix. After drawing the protein network, 5 proteins were selected as more suitable candidates for further studies. These proteins’ expression significantly increases in the human samples, and the survival chart showed up to about 80% mortality in the individuals over time. With integrated bioinformatics analysis, BGN, LOX, MMP-9, SERPINE1, and TGFB1 proteins have been selected as suitable diagnostic biomarkers for noninvasive to invasive stages of gastric cancer. Further studies are needed to evaluate more precise mechanisms between these proteins.

Circulating microRNAs as Potential Diagnostic Biomarkers and Therapeutic Targets in Gastric Cancer: Current Status and Future Perspectives

2016 ◽  
Vol 23 (36) ◽  
pp. 4135-4150 ◽  
Author(s):  
Hamed Mirzaei ◽  
Sara Khataminfar ◽  
Saeid Mohammadparast ◽  
Soudabeh Sales ◽  
Mina Maftouh ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Therapeutic Targets ◽  
Current Status ◽  
Future Perspectives ◽  
Diagnostic Biomarkers ◽  
Circulating Micrornas

Gastric Cancer Diagnosis: From Imaging techniques to Biochemical Biomarkers

2020 ◽  
Vol 20 ◽  
Author(s):  
Fatemeh Tavakoli ◽  
Sara Sadat Khatami ◽  
Fatemeh Momeni ◽  
Javid Azadbakht ◽  
Faezeh Ghasemi
Keyword(s):  
Gastric Cancer ◽  
Imaging Techniques ◽  
Response To Therapy ◽  
Circular Rnas ◽  
Diagnostic Biomarkers ◽  
Fast Detection ◽  
Joint Application ◽  
Positron Emission ◽  
Advanced Stages ◽  
New Diagnosis

: Gastric cancer (GC) is found as the second leading cause of cancer associated deaths in the world which is usually detected in the advanced stages. It has been showed that surgery is major therapeutic approach in the treatment subjects with GC. Hence, early and fast diagnosis of this malignancy is very important issue for good subject outcomes. Noninvasive diagnostic platforms including evolutionary endoscopy and positron emission tomography (PET) are employed as diagnosis for subjects with GC. Along to imaging techniques, utilization of biomarkers has been emerged as new diagnosis options in early and fast detection of GC. Multiple lines evidence revealed, a variety of biomarkers including microRNAs, exosomes, circulating tumor cells, circular RNAs, cell free DNAs, and various proteins could be used as diagnostic biomarkers in patients with GC. Taken together, these findings suggested that joint application of imaging techniques and different biomarkers, could be introduced as new detection approaches in the treatment and screening response to therapy in the subjects with GC. Herein, we summarized various imaging techniques and biomarkers as powerful tools in the detection of GC.

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