The role of circular RNA hsa_circ_0001789 as a diagnostic biomarker in gastric carcinoma.

Scand J Gastroenterol

Department of Gastroenterology, Ningbo First Hospital, Ningbo, Zhejiang Province, China.

Published: March 2023

Background: Circular RNA (circRNA) is a kind of endogenous non-coding RNAs and has shown diagnostic values in various cancers. This study aimed to explore whether hsa_circ_0001789 could be a novel biomarker for gastric cancer (GC).

Methods: Quantitative reverse transcriptase PCR was used to detect the expression of hsa_circ_0001789 in 108 paired GC and paracancerous tissues as well as in 24 paired plasma specimens. Possible associations between hsa_circ_0001789 expression and clinicopathologic factors of GC patients were examined using one-way ANOVA. A receiver operating characteristic (ROC) curve was established to investigate the diagnostic value of hsa_circ_0001789 in GC.

Results: GC tissues and plasma samples showed down-regulated hsa_circ_0001789 levels than their counterparts, which were closely correlated with the malignant characteristics of GC. The area under the ROC curve (AUC) of hsa_circ_0001789 in GC tissues was 0.82, while the cut-off value was 9.5, indicating a favorable diagnostic value. Compared with the traditional tumor biomarkers, hsa_circ_0001789 had preferred AUCs that reached 0.786 for predicting the stage of invasion, 0.603 for predicting the stage of lymphatic metastasis, 0.722 for predicting the stage of distant metastasis, and 0.786 for predicting TNM stage.

Conclusions: Hsa_circ_0001789 may be a novel biomarker for the diagnosis of gastric carcinoma.

Download full-text PDF

Source
http://dx.doi.org/10.1080/00365521.2022.2122865DOI Listing

Publication Analysis

Top Keywords

predicting stage
12
hsa_circ_0001789
9
circular rna
8
biomarker gastric
8
gastric carcinoma
8
hsa_circ_0001789 novel
8
novel biomarker
8
roc curve
8
0786 predicting
8
role circular
4

Similar Publications

The aim of this study was to evaluate the clinical benefits and outcomes of adjuvant radiation therapy on adrenocortical carcinoma (ACC) patients. All patients with ACC that were reported between 2010 and 2015 were identified from the Surveillance, Epidemiology, and End Results database. A forward-stepwise Cox proportional hazards regression was used to identify independent risk factors.

View Article and Find Full Text PDF

T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.

View Article and Find Full Text PDF

Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.

View Article and Find Full Text PDF

The combination of ultralong-acting neuromuscular block and subsequent on-demand rapid reversal may provide prolonged surgeries with improved conditions by omitting continuous or repetitive blocker administration, enabling a more stable and predictable hemodynamic profile and eliminating residual block. For this target, we prepared 19 imidazolium-incorporated tetracationic macrocycles. In vivo studies with rats revealed that one macrocycle (IMC-14) displays extremely high blocking activity.

View Article and Find Full Text PDF

Mathematical assessment of the role of temperature on desert locust population dynamics.

PLoS One

January 2025

School of Mathematics and Statistics, College of Science, Rochester Institute of Technology, Rochester, New York, United States of America.

This study presents a novel non-autonomous mathematical model to explore the intricate relationship between temperature and desert locust population dynamics, considering the influence of both solitarious and gregarious phases across all life stages. The model incorporates temperature-dependent parameters for key biological processes, including egg development, hopper growth, adult maturation, and reproduction. Theoretical analysis reveals the model's capacity for complex dynamical behaviors, such as multiple stable states and backward bifurcations, suggesting the potential for sudden and unpredictable population shifts.

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!