Repositioning fluphenazine as a cuproptosis-dependent anti-breast cancer drug candidate based on TCGA database DOI Creative Commons
Xiaoli Zhang,

Xiaoyuan Shi,

Xi Zhang

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 178, P. 117293 - 117293

Published: Aug. 14, 2024

Breast cancer is one of the most prevalent malignancies among women. Enhancing prognosis an effective approach to enhance survival rate breast cancer. Cuproptosis, a copper-dependent programmed cell death process, has been associated with patient prognosis. Inducing cuproptosis promising for therapy. However, there currently no anti-breast drug that induces cuproptosis. In this study, we repositioned clinical fluphenazine as potential agent treatment by inducing Firstly, utilized Cancer Genome Atlas (TCGA) database and Connectivity Map (CMap) identify 22 compounds activity through Subsequently, our findings demonstrated effectively suppressed viability MCF-7 cells. Fluphenazine also significantly inhibited triple negative cells MDA-MB-453 MDA-MB-231. Furthermore, study revealed down-regulated expression prognostic biomarkers cuproptosis, increased copper ion levels, reduced intracellular pyruvate accumulation. Additionally, it up-regulated FDX1 at both mRNA protein which reported play crucial role in induction These suggest be used Therefore, research provides insight development novel cuproptosis-dependent anti-cancer agents.

Language: Английский

Cuproptosis in glioblastoma: unveiling a novel prognostic model and therapeutic potential DOI Creative Commons

Zhigang Qin,

Bin Yang, Xingyi Jin

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: March 28, 2024

Glioblastoma, a notably aggressive brain tumor, is characterized by brief survival period and resistance to conventional therapeutic approaches. With the recent identification of “Cuproptosis,” copper-dependent apoptosis mechanism, this study aimed explore its role in glioblastoma prognosis potential implications. A comprehensive methodology was employed, starting with analysis 65 cuproptosis-related genes. These genes were subjected differential expression analyses between tissues normal counterparts. novel metric, “CP-score,” devised quantify cuproptosis response patients. Building on this, prognostic model, CP-model, developed using Cox regression techniques, designed operate both bulk single-cell data. The revealed 31 distinct patterns glioblastoma. CP-score markedly elevated patients, suggesting an intensified response. CP-model adeptly stratified patients into risk categories, unveiling intricate associations prognosis, immune pathways, tumor’s immunological environment. Further indicated that high-risk as per exhibited heightened certain checkpoints, targets. Additionally, model hinted at possibility personalized strategies, drugs showing increased efficacy offers promising tool for strategy development, emphasizing Cuproptosis cancer treatment.

Language: Английский

Citations

1

Predicting prognosis and drug sensitivity in bladder cancer: an insight into Pan-programmed cell death patterns regulated by M6A modifications DOI Creative Commons
Rongjiang Wang, Zhaojun Li, Junwen Shen

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 7, 2024

The team aimed to explore the possible functional significance of M6A regulation in Pan-programmed cell death (PCD) among patients with bladder cancer (BLCA). In BLCA patients, analysis was conducted on the13 patterns programmed and M6A. Transcriptome, genomics, clinical data were collected from TCGA-BLCA, GEO32548, IMvigor210. Consensus clustering analysis, enrichment other prognostic tools used validate Pan-PCD. Finally, vitro experiments transcription sequencing performed understand potential influence PI3K pathway Pan-PCD patients. Diverse PCD simultaneously activated, regulators exhibited significant variability malignant tissues. machine learning algorithm established an 8-gene M6A-related signature. This signature validated three independent datasets, higher risk scores had worse prognosis. An unsupervised approach identified activated suppressed subgroups distinct responses immunotherapy drug sensitivity. addition, as a key mechanism for various forms death, encompassing apoptosis, pyroptosis, autophagy, dependent lysosomes. research revealed that model more promising under regulation. A new proposed, value survival or multiple PCDs

Language: Английский

Citations

1

Bioinformatic analysis constructs an optimal prognostic index for survival-related variables (OPISV) based on whole-genome expression data in Glioblastoma DOI Creative Commons

Jianlin Pan,

Dejun Yan,

Yueyang Liang

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 282, P. 137184 - 137184

Published: Nov. 4, 2024

Language: Английский

Citations

1

Identification of a novel apoptosis-related genes signature to improve gastric cancer prognosis prediction DOI Creative Commons
Xiaopeng Li,

Xiaolei Yin,

Lili Mi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33795 - e33795

Published: June 28, 2024

Dysregulation of apoptosis occurs in different types malignant tumors and is likely to influence the tumor evolution, as well clinical prognosis. However, limited number studies investigating predictive power apoptosis-related genes (ARGs) gastric cancer indicates a gap current research. 174 ARGs who differentially expressed were screened using public databases, including Gene Expression Omnibus Molecular Signatures Database. Univariate LASSO regression analyses rigorous approaches recognize 12 optimal (

Language: Английский

Citations

0

Repositioning fluphenazine as a cuproptosis-dependent anti-breast cancer drug candidate based on TCGA database DOI Creative Commons
Xiaoli Zhang,

Xiaoyuan Shi,

Xi Zhang

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 178, P. 117293 - 117293

Published: Aug. 14, 2024

Breast cancer is one of the most prevalent malignancies among women. Enhancing prognosis an effective approach to enhance survival rate breast cancer. Cuproptosis, a copper-dependent programmed cell death process, has been associated with patient prognosis. Inducing cuproptosis promising for therapy. However, there currently no anti-breast drug that induces cuproptosis. In this study, we repositioned clinical fluphenazine as potential agent treatment by inducing Firstly, utilized Cancer Genome Atlas (TCGA) database and Connectivity Map (CMap) identify 22 compounds activity through Subsequently, our findings demonstrated effectively suppressed viability MCF-7 cells. Fluphenazine also significantly inhibited triple negative cells MDA-MB-453 MDA-MB-231. Furthermore, study revealed down-regulated expression prognostic biomarkers cuproptosis, increased copper ion levels, reduced intracellular pyruvate accumulation. Additionally, it up-regulated FDX1 at both mRNA protein which reported play crucial role in induction These suggest be used Therefore, research provides insight development novel cuproptosis-dependent anti-cancer agents.

Language: Английский

Citations

0