Ask about this productRelated genes to: C1ORF74 antibody
- Gene:
- C1orf74 NIH gene
- Name:
- chromosome 1 open reading frame 74
- Previous symbol:
- -
- Synonyms:
- FLJ25078, URLC4
- Chromosome:
- 1q32.2
- Locus Type:
- gene with protein product
- Date approved:
- 2005-05-19
- Date modifiied:
- 2016-11-17
Related products to: C1ORF74 antibody
Related articles to: C1ORF74 antibody
- Cervical cancer (CC), which ranks among the four most common cancers in women, is a leading cause of both illness and death globally. It's urgent to identify a new biomarker to elucidate the potential mechanisms underlying the progression of CC. Here, we screened the differentially expressed genes (DEGs) in the Cancer Genome Atlas database (TCGA) and selected Chromosome 1 open reading frame 74 (C1orf74) for further investigation. C1orf74 levels were elevated, indicating a link to poor prognosis. Higher expression of C1orf74 was significantly related to clinical stage, T stage, histological type and survival status. Functional enrichment analysis indicated that C1orf74 is likely associated with the MAPK signaling pathway. Moreover, we found that C1orf74 was correlated with multifarious immune cell infiltration. Finally, the knockdown of C1orf74 significantly inhibited the growth of CC in vitro. In conclusion, C1orf74 promotes CC proliferation and progression, is closely associated with poor prognosis, and plays a role in the tumor immune microenvironment. The research indicates that C1orf74 is important for treating CC and may help develop new strategies to improve patient outcomes. - Source: PubMed
Publication date: 2024/12/09
Zhu HaiWang YapingZhang YuTian YunLiu DuanLi XiabingJi GailiMa CaixiaLi Hongyu - , also known as URCL4, has been reported to have higher expression and be associated with poor prognosis in lung adenocarcinoma patients, and its role in regulation of the EGFR/AKT/mTORC1 pathway has been recently elucidated. In the current study, we used publicly available data and experimental validation of gene expression and its association with prognosis in cervical cancer patients. qRT-PCR was performed using RNA from cervical cancer cell lines and twenty-five cervical cancer patients. Data from TNMplot revealed that mRNA expression of the gene in primary tumor tissues, as well as metastatic tissues from cervical cancer patients, was significantly higher compared to normal cervical tissues. HPV-positive tumors had higher expression of this gene compared to HPV-negative tumors. qPCR analysis also demonstrated higher expression of in HPV-positive cervical cancer cell lines and most cervical cancer patients. The promoter methylation levels of the gene in cervical cancer tissues were lower compared to normal cervical tissues ( < 0.05). Collectively, our study indicates that higher expression of the gene caused by hypomethylation of its promoter is associated with poor overall survival in cervical cancer patients. Thus, is a novel prognostic marker in cervical cancer. - Source: PubMed
Publication date: 2023/10/27
Parida PreetiparnaLewis ShirleySharan KrishnaKamal Mehta VedantKumar Naveena A NGodkhindi Vishwapriya MVarambally SooryanarayanaRangnekar Vivek MRao MahadevDamerla Rama Rao - Lung adenocarcinoma (LUAD) is a major type of lung cancer with poor prognosis and low 5-year survival rate, which urgently needs further investigation in order to elucidate its mechanisms completely and discover novel therapeutic targets. C1orf74 is a novel protein with unknown function either in normal cells or cancer cells. The aim of this study is to investigate the expression and function of C1orf74 in LUAD cells. - Source: PubMed
Publication date: 2022/08/22
Guo JinyongLi AiliGuo RuolinHe QiufengWu YouruGou YiJin JunfeiHuang Guojin - Currently, diabetes has become one of the leading causes of death worldwide. Fasting plasma glucose (FPG) levels that are higher than optimal, even if below the diagnostic threshold of diabetes, can also lead to increased morbidity and mortality. Here we intend to study the magnitude of the genetic influence on FPG variation by conducting structural equation modelling analysis and to further identify specific genetic variants potentially related to FPG levels by performing a genome-wide association study (GWAS) in Chinese twins. - Source: PubMed
Publication date: 2020/07/18
Wang WeijingZhang CaixiaLiu HuiXu ChunshengDuan HaipingTian XiaocaoZhang Dongfeng