Prognostic significance of CHAC1 expression in breast cancer

被引:20
|
作者
Mehta, Vikrant [1 ]
Meena, Jaipal [2 ]
Kasana, Harit [2 ]
Munshi, Anjana [1 ]
Chander, Harish [2 ]
机构
[1] Cent Univ Punjab, Dept Human Genet & Mol Med, Bathinda 151401, India
[2] Natl Inst Biol, Biotherapeut Div, Sect 62, Noida 201309, India
关键词
CHAC1; Breast cancer; Prognosis; Metastasis; Bioinformatics; GENE-EXPRESSION; WEB SERVER; SURVIVAL; STRESS;
D O I
10.1007/s11033-022-07673-x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background An emerging component of Unfolded Protein Response (UPR) pathway, cation transport regulator homolog 1 (CHAC1) has been conferred with the ability to degrade intracellular glutathione and induce apoptosis, however, many reports have suggested a role of CHAC1 in cancer progression. Our study aimed to investigate CHAC1 mRNA levels in large breast cancer datasets using online tools and both mRNA and protein levels in different breast cancer cell lines. Methods and results Analysis of clinical information from various online tools (UALCAN, GEPIA2, TIMER2, GENT2, UCSCXena, bcGenExMiner 4.8, Km Plotter, and Enrichr) was done to elucidate the CHAC1 mRNA expression in large breast cancer patient dataset and its correlation with disease progression. Later, in vitro techniques were employed to explore the mRNA and protein expression of CHAC1 in breast cancer cell lines. Evidence from bioinformatics analysis as well as in vitro studies indicated a high overall expression of CHAC1 in breast tumor samples and had a significant impact on the prognosis and survival of patients. Enhanced CHAC1 levels in the aggressive breast tumor subtypes such as Human Epidermal growth factor receptor 2 (HER2) and Triple Negative Breast Cancer (TNBC) were evident. Our findings hint toward the possible role of CHAC1 in facilitating the aggressiveness of breast cancer and the disease outcome. Conclusion In summary, CHAC1 is constantly up-regulated in breast cancer leading to a poor prognosis. CHAC1, therefore, could be a promising candidate in the analysis of breast cancer diagnosis and prognosis.
引用
收藏
页码:8517 / 8526
页数:10
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