It was recently suggested that growth differentiation factor-15 (GDF-15) is associated with gastric cancer (GC) carcinogenesis. However, the diagnostic potential of GDF-15 for GC remains unclear. To address this issue, we obtained RNA sequencing and microarray data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, and searched PubMed, Google Scholar and Web of Science for relevant literature. We then used STATA to perform a meta-analysis. In total, reports of 253 GC patients and 112 healthy controls who contributed peripheral blood samples were taken from the four literature sources, while information on 754 GC tumor and 263 gastric normal tissues was drawn from TCGA and seven GEO datasets. The expression level of mRNA was significantly higher in tumor tissues than in normal tissues, with a standard mean difference (SMD) of 0.79% and a 95% confidence interval (95% CI) of 0.63-0.95. Consistently, the GDF-15 protein in blood was significantly increased in GC patients as compared to controls (SMD = 3.74, 95% CI = 1.81-5.68). In addition, based on information from TCGA and GEO datasets, the expression level of mRNA may be of use for the diagnosis of GC, with a combined sensitivity, specificity and odds ratio of 0.69 (95% CI = 0.58-0.79), 0.90 (95% CI = 0.84-0.93) and 6.32 (95% CI = 4.22-9.49), respectively. The summary receiver operating characteristic curve demonstrated that the area under the curve was 0.90 (95% CI = 0.87-0.93). The results suggest higher levels of GDF-15 may be associated with GC tumorigenesis and may have the potential to be a diagnostic biomarker of GC.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325603PMC
http://dx.doi.org/10.1002/2211-5463.12537DOI Listing

Publication Analysis

Top Keywords

diagnostic biomarker
8
gastric cancer
8
gdf-15 associated
8
normal tissues
8
tcga geo
8
geo datasets
8
datasets expression
8
expression level
8
level mrna
8
090 95%
8

Similar Publications

In multiple sclerosis (MS), increasing disability is considered to occur due to persistent, chronic inflammation trapped within the central nervous system (CNS). This condition, known as smoldering neuroinflammation, is present across the clinical spectrum of MS and is currently understood to be relatively resistant to treatment with existing disease-modifying therapies. Chronic active white matter lesions represent a key component of smoldering neuroinflammation.

View Article and Find Full Text PDF

Charcot-Marie-Tooth disease (CMT) is the most common hereditary peripheral neuropathy. It presents a wide range of genetic and phenotypic heterogeneity. CMT disease type 1A (CMT1A), caused by PMP22 gene duplication, represents the most common subtype of CMT in Western countries.

View Article and Find Full Text PDF

Background: Timely diagnosis of heart failure (HF) in patients with a systemic right ventricle (sRV) is difficult but important since clinical deterioration is fast once HF develops. We aimed to compare echocardiography and biomarker profile between sRV patients with and without HF and patients with a systemic left ventricle diagnosed with HF (sLV-HF).

Methods And Results: Eighty-seven sRV patients and 30 sLV-HF patients underwent echocardiographic evaluation and blood sampling.

View Article and Find Full Text PDF

Background: We aimed to investigate the potential of altered levels of various acute phase proteins (APPs) in the plasma, either used alone or in combination with ultrasound-, clinical-, and conventional blood-based tests, for predicting the risk of intra-amniotic inflammation (IAI), microbial invasion of the amniotic cavity (MIAC), histologic chorioamnionitis (HCA), and funisitis in women with preterm premature rupture of membranes (PPROM).

Methods: A total of 195 consecutive pregnancies involving singleton women with PPROM (at 23 + 0-34 + 0 weeks) who underwent amniocentesis and from whom plasma samples were obtained at amniocentesis were retrospectively included in this study. Amniotic fluid (AF) was cultured to assess the MIAC and analyzed for interleukin (IL)-6 levels to define IAI (AF IL-6 level of ≥2.

View Article and Find Full Text PDF

Deep Learning-Enabled Rapid Metabolic Decoding of Small Extracellular Vesicles via Dual-Use Mass Spectroscopy Chip Array.

Anal Chem

December 2024

Department of Gastroenterology and Hepatology, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China.

The increasing focus of small extracellular vesicles (sEVs) in liquid biopsy has created a significant demand for streamlined improvements in sEV isolation methods, efficient collection of high-quality sEV data, and powerful rapid analysis of large data sets. Herein, we develop a high-throughput dual-use mass spectroscopic chip array (DUMSCA) for the rapid isolation and detection of plasma sEVs. The DUMSCA realizes more than a 50% increase in speed compared to traditional method and confirms proficiency in robust storage, reuse, high-efficiency desorption/ionization, and metabolite quantification.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!