Identification and validation of a five-gene prognostic signature based on bioinformatics analyses in breast cancer

Du, Xin-jie; Yang, Xin; Wang, Qicai; Lin, Guo-liang; Li, Pengfei; Zhang, Weifeng

doi:10.1016/j.heliyon.2023.e13185

Cited by 4 publications

(1 citation statement)

References 36 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[ 5 ] Precise molecular treatment of tumors has drawn our attention, and it is a promising therapeutic strategy in the future. [ 6 ] Consequently, it is urgent to find new biomarkers associated with LGG development, which contribute to revealing the potential pathogenic mechanism, provide novel treatment directions, and improve the prognosis and quality of life of patients.…”

Section: Introductionmentioning

confidence: 99%

IL-6 significantly correlated with the prognosis in low-grade glioma and the mediating effect of immune microenvironment

Yang,

Chen,

Yang

et al. 2024

Medicine

View full text Add to dashboard Cite

To screen immune-related prognostic biomarkers in low-grade glioma (LGG), and reveal the potential regulatory mechanism. The differential expressed genes (DEGs) between alive and dead patients were initially identified, then the key common genes between DEGs and immune-related genes were obtained. Regarding the key DEGs associated with the overall survival (OS), their clinical value was assessed by Kaplan–Meier, RCS, logistic regression, ROC, and decision curve analysis methods. We also assessed the role of immune infiltration on the association between key DEGs and OS. All the analyses were based on the TGCA-LGG data. Finally, we conducted the molecular docking analysis to explore the targeting binding of key DEGs with the therapeutic agents in LGG. Among 146 DEGs, only interleukin-6 (IL-6) was finally screened as an immune-related biomarker. High expression of IL-6 significantly correlated with poor OS time (all P < .05), showing a linear relationship. The combination of IL-6 with IDH1 mutation had the most favorable prediction performance on survival status and they achieved a good clinical net benefit. Next, we found a significant relationship between IL-6 and immune microenvironment score, and the immune microenvironment played a mediating effect on the association of IL-6 with survival (all P < .05). Detailly, IL-6 was positively related to M1 macrophage infiltration abundance and its biomarkers (all P < .05). Finally, we obtained 4 therapeutic agents in LGG targeting IL-6, and their targeting binding relationships were all verified. IL6, as an immune-related biomarker, was associated with the prognosis in LGG, and it can be a therapeutic target in LGG.

show abstract

Section: Introductionmentioning

confidence: 99%

IL-6 significantly correlated with the prognosis in low-grade glioma and the mediating effect of immune microenvironment

Yang,

Chen,

Yang

et al. 2024

Medicine

View full text Add to dashboard Cite

show abstract

A novel model combining genes associated with disulfidptosis and glycolysis to predict breast cancer prognosis, molecular subtypes, and treatment response

Wang,

Gao,

Zhao

et al. 2024

Environmental Toxicology

View full text Add to dashboard Cite

Breast cancer (BC) is a heterogeneous malignancy with a dismal prognosis. Disulfidptosis is a novel type of regulated cell death that happens in the presence of glucose deficiency and is linked to the metabolic process of glycolysis. However, the mechanism of action of disulfidptosis and glycolysis‐related genes (DGRG) in BC, as well as their prognostic value in BC patients, remain unknown. After identifying the differentially expressed DGRG in normal and BC tissues, a number of machine learning algorithms were utilized to select essential prognostic genes to develop a model, including SLC7A11, CACNA1H, SDC1, CHST1, and TFF3. The expression characteristics of these genes were then examined using single‐cell RNA sequencing, and BC was classified into three clusters using “ConsensusClusterPlus” based on these genes. The DGRG model's median risk score can categorize BC patients into high‐risk and low‐risk groups. Furthermore, we investigated variations in clinical landscape, immunoinvasion analysis, tumor immune dysfunction and rejection (TIDE), and medication sensitivity in patients in the DGRG model's high‐ and low‐risk groups. Patients in the low‐risk group performed better on immunological and chemotherapeutic therapies and had lower TIDE scores. In conclusion, the DGRG model we developed has significant clinical application potential because it can accurately predict the prognosis of BC, TME, and pharmacological treatment responses.

show abstract

BRCA1 as a target for attenuating paclitaxel resistance by Halofuginone treatment in basal-like breast cancer

Zhang,

Yue,

et al. 2024

Journal of Functional Foods

View full text Add to dashboard Cite

Identification and validation of a five-gene prognostic signature based on bioinformatics analyses in breast cancer

Cited by 4 publications

References 36 publications

IL-6 significantly correlated with the prognosis in low-grade glioma and the mediating effect of immune microenvironment

IL-6 significantly correlated with the prognosis in low-grade glioma and the mediating effect of immune microenvironment

A novel model combining genes associated with disulfidptosis and glycolysis to predict breast cancer prognosis, molecular subtypes, and treatment response

BRCA1 as a target for attenuating paclitaxel resistance by Halofuginone treatment in basal-like breast cancer

Contact Info

Product

Resources

About