Serum miR-30c serves as potential biomarkers for the diagnosis and prognosis of gastric cancer

Gastric cancer (GC),the fourth leading cause of cancer-related deaths globally and thus early detection, is considered critical for diagnosis and treatment of this disease. It is well known that measurement of microRNA (miRNA) may serve as diagnostic and prognostic biomarker for GC. The aim of this study was to determine whether miR-30c was present in patients with gastric cancer and to correlate relative expression with patient survival. A total of 162 GC patients and 150 healthy controls were recruited. miR-30c levels were quantified in serum using quantitative real-time PCR(QRT-PCR). The sensitivity and specificity of circulating miR-30c was compared to carbohydrate antigen (CA) CA72-4, CA19-9, and carcinoembryonic antigen (CEA), 3 known markers associated with GC. QRT-PCR demonstrated downregulation of gene expression of miR-30c in GC patients. Downregulation of miR-30c gene expression was significantly correlated with stage of cancer, lymphatic metastasis, and distal metastasis. The sensitivity to detect GC of miR-30c, CA72-4, CA19-9, and CEA in serum of GC was 80%, 43%, 21%, and 42%, respectively, while specificity was 89%, 57%, 30%, and 78% respectively. Kaplan-Meier survival analysis showed that the presence of low gene expression of miR-30c was effective in predicting poor prognosis in GC patients. Our data suggest that circulating serum miR-30c concentrations may serve as a reliable biomarker for GC occurrence. (212words).

Authors

Institutions

Publication Details

Journal
Journal of Toxicology and Environmental Health
Published
2025-05-08
DOI
https://doi.org/10.1080/15287394.2025.2495952
Citations
2
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
1.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum miR-30c serves as potential biomarkers for the diagnosis and prognosis of gastric cancer

Yongping Mu, Xiaoyan Tian
2 citations
Journal of Toxicology and Environmental Health
MicroRNA in disease regulation
1.87
article

Serum miR-30c serves as potential biomarkers for the diagnosis and prognosis of gastric cancer

Yongping Mu, Xiaoyan Tian
article en
2 citations

Abstract

Gastric cancer (GC),the fourth leading cause of cancer-related deaths globally and thus early detection, is considered critical for diagnosis and treatment of this disease. It is well known that measurement of microRNA (miRNA) may serve as diagnostic and prognostic biomarker for GC. The aim of this study was to determine whether miR-30c was present in patients with gastric cancer and to correlate relative expression with patient survival. A total of 162 GC patients and 150 healthy controls were recruited. miR-30c levels were quantified in serum using quantitative real-time PCR(QRT-PCR). The sensitivity and specificity of circulating miR-30c was compared to carbohydrate antigen (CA) CA72-4, CA19-9, and carcinoembryonic antigen (CEA), 3 known markers associated with GC. QRT-PCR demonstrated downregulation of gene expression of miR-30c in GC patients. Downregulation of miR-30c gene expression was significantly correlated with stage of cancer, lymphatic metastasis, and distal metastasis. The sensitivity to detect GC of miR-30c, CA72-4, CA19-9, and CEA in serum of GC was 80%, 43%, 21%, and 42%, respectively, while specificity was 89%, 57%, 30%, and 78% respectively. Kaplan-Meier survival analysis showed that the presence of low gene expression of miR-30c was effective in predicting poor prognosis in GC patients. Our data suggest that circulating serum miR-30c concentrations may serve as a reliable biomarker for GC occurrence. (212words).

Journal of Toxicology and Environmental HealthVol. 88(18)
Peking University (CN), Peking University Cancer Hospital (CN), Hohhot First Hospital (CN), Inner Mongolia Medical University (CN)
Good health and well-being
Openalex Percentile: Top 15%
MicroRNA in disease regulation
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.