Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Cancer antigen 125 (CA125), encoded by the mucin 16 cell surface associated (MUC16) gene, has been widely used as a biomarker for ovarian cancer (OC) screening. However, it has yet to be elucidated as to why its levels increase with tumor progression as well as with certain other non-malignant conditions. Based on our knowledge of the inflammatory microenvironment (IME) in OC, HEY cells were treated with several inflammation-associated factors as well as their antagonists, and it was observed that inflammation-associated factors upregulated MUC16 gene expression. Considering the role of nuclear factor (NF)-κB in the inflammatory signaling network and our previous research on OC, chromatin immunoprecipitation was performed, and it was observed that activated NF-κB bound to the MUC16 gene promoter and enhanced its expression, thereby elevating secreted CA125 levels. These findings demonstrated that IME and MUC16 gene expression were associated in OC, partly elucidating the role of IME in tumor progression, explaining the elevated serum CA125 levels in some non-malignant conditions, and confirming IME as a potential target for OC therapy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792485PMC
http://dx.doi.org/10.3892/etm.2020.9594DOI Listing

Publication Analysis

Top Keywords

muc16 gene
16
ovarian cancer
8
tumor progression
8
non-malignant conditions
8
inflammation-associated factors
8
gene expression
8
ca125 levels
8
muc16
5
inflammatory signals
4
signals induce
4

Similar Publications

Background: Skin cutaneous melanoma (SKCM) is the third most common type of cutaneous malignant tumor with a poor prognosis. This research aimed to recognize molecular clusters and develop a novel prognostic signature based on natural killer (NK) cell-related genes (NKCRGs) in SKCM.

Methods: The data were obtained from public databases, including ImmPort, TCGA, GEO, GTEx and GEPIA2.

View Article and Find Full Text PDF

Premature ovarian failure (POF) accelerates ovarian aging, leading to menstrual irregularities, reduced fertility, and decreased estrogen levels. Current hormone replacement therapy (HRT) cannot reverse the aging effects, highlighting the need for more targeted treatments. Genome-wide association studies (GWAS) and protein quantitative trait loci (pQTL) analyses can identify genetic variants and protein level changes associated with POF.

View Article and Find Full Text PDF

Analysis of genomic heterogeneity and the mutational landscape in cutaneous squamous cell carcinoma through multi-patient-targeted single-cell DNA sequencing.

BMC Cancer

August 2025

Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Cancer Institute, Jiangxi Clinical Research Center for Cancer, 519 East Beijing Road, Nanchang, Jiangxi Province, 330029, China.

Background: Cutaneous squamous cell carcinoma (CSCC) is a prevalent skin cancer with aggressive progression that poses significant challenges, especially in metastatic cases. Single-cell DNA sequencing (scDNA-seq) has become an advanced technology for elucidating tumor heterogeneity and clonal evolution. However, comprehensive scDNA-seq studies and tailored mutation panels for CSCC are lacking.

View Article and Find Full Text PDF

Background: The progression of gastric cancer (GC) is closely linked to macrophage polarization and protein lactylation; however, its underlying mechanisms remain poorly understood. This study aimed to elucidate the molecular mechanisms of GC using transcriptomic analysis.

Methods: Candidate genes were identified by intersecting differentially expressed genes with key module genes associated with protein lactylation and macrophage polarization.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death globally, characterized by high morbidity and poor prognosis. The complex molecular and immune landscape of HCC makes accurate patient stratification and personalized treatment essential. In this study, we utilized large-scale gene expression data from TCGA and GSE54236, alongside eQTL GWAS data, to identify key genes that influence HCC prognosis.

View Article and Find Full Text PDF