Identification of a Potential PGK1 Inhibitor with the Suppression of Breast Cancer Cells Using Virtual Screening and Molecular Docking DOI Creative Commons
Xianghui Chen,

Zanwen Zuo,

Xianbin Li

et al.

Pharmaceuticals, Journal Year: 2024, Volume and Issue: 17(12), P. 1636 - 1636

Published: Dec. 5, 2024

Background/Objectives: Breast cancer is the second most common malignancy worldwide and poses a significant threat to women’s health. However, prognostic biomarkers therapeutic targets of breast are unclear. A model can help in identifying for cancer. In this study, novel was developed optimize treatment, improve clinical prognosis, screen potential phosphoglycerate kinase 1 (PGK1) inhibitors treatment. Methods: Using data from Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) were identified normal individuals patients. The biological functions DEGs examined using bioinformatics analysis. then constructed through LASSO multivariate Cox regression analyses. relationship between model, survival, immunity also evaluated. addition, virtual screening conducted based on risk identify small molecule PGK1 Chemdiv Targetmol libraries. effects confirmed cell experiments. Results: total 230 up- 325 down-regulated HER2, LumA, LumB, TN subtypes. new ten genes. analysis Cancer Genome Atlas (TCGA) indicated that prognosis poorer high-risk group compared low-risk group. accuracy ROC curve. Furthermore, functional enrichment analyses low- groups linked immune response. score correlated with tumor infiltrates. Moreover, four compounds highest lowest affinity energy identified. Notably, D231-0058 showed better inhibitory activity against cells. Conclusions: Ten (ACSS2, C2CD2, CXCL9, KRT15, MRPL13, NR3C2, PGK1, PIGR, RBP4, SORBS1) as signatures Additionally, results (2-((((4-(2-methyl-1H-indol-3-yl)-1,3-thiazol-2-yl)carbamoyl)methyl)sulfanyl)acetic acid) may be candidate treating

Language: Английский

Fucoidan-modified antibiotic-free nanovesicles: A multidimensional approach to eradicate intracellular and extracellular Helicobacter pylori and restore gastrointestinal homeostasis DOI
Shuqi Zhang,

Shi-Jie Ma,

Suqi Hao

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 307, P. 141786 - 141786

Published: March 7, 2025

Language: Английский

Citations

0

Bioinformatics- and quantitative proteomics-based identification of gastric adenocarcinoma-related proteins and analysis DOI
Wenbo Liu, Yong Li, Liqiao Fan

et al.

American Journal of Cancer Research, Journal Year: 2024, Volume and Issue: 14(11), P. 5286 - 5303

Published: Jan. 1, 2024

The emergence of immune resistance and a lack effective therapeutic targets have become significant challenges in immunotherapy, highlighting the urgent need for new molecular markers treatment targets. Moreover, significance mechanisms PGRN (Progranulin) gastric cancer remain ambiguous. To identify differentially expressed proteins elucidate function mechanism PGRN. data-independent acquisition proteomics was used to adenocarcinoma corresponding paraneoplastic tissues, providing comprehensive dataset cancer-related proteins. were further explored using series experiments, including RT-qPCR (Real Time-Quantitative Polymerase Chain Reaction), cell transfection, viability assays, scratch, immunohistochemistry Transwell Western blot, mouse tumor-bearing model. These investigations combined with bioinformatics analyses examine relationship between expression clinical-pathological characteristics, confirming its high tissues. We identified large number adjacent tissues conducted an initial functional analysis. Further studies on showed that it associated prognosis lymph node metastasis. inhibition led reduced viability, migration, invasion, changes related genes In model, tumor growth subcutaneously transplanted tumors nude mice after expression. An in-depth analysis performed predict protein interactions, miRNA regulation, relationships multiple types. Enrichment indicated is involved signaling pathways, MAPK (Mitogen-Activated Protein Kinase) pathway selected validation. AGS HGC27 cells, increased phosphorylated p38 (p-p38) pathway, suggesting may promote development by regulating p-p38. This study differences emerging as key influencing proliferation, invasion. findings suggest could serve potential target cancer.

Language: Английский

Citations

0

Identification of a Potential PGK1 Inhibitor with the Suppression of Breast Cancer Cells Using Virtual Screening and Molecular Docking DOI Creative Commons
Xianghui Chen,

Zanwen Zuo,

Xianbin Li

et al.

Pharmaceuticals, Journal Year: 2024, Volume and Issue: 17(12), P. 1636 - 1636

Published: Dec. 5, 2024

Background/Objectives: Breast cancer is the second most common malignancy worldwide and poses a significant threat to women’s health. However, prognostic biomarkers therapeutic targets of breast are unclear. A model can help in identifying for cancer. In this study, novel was developed optimize treatment, improve clinical prognosis, screen potential phosphoglycerate kinase 1 (PGK1) inhibitors treatment. Methods: Using data from Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) were identified normal individuals patients. The biological functions DEGs examined using bioinformatics analysis. then constructed through LASSO multivariate Cox regression analyses. relationship between model, survival, immunity also evaluated. addition, virtual screening conducted based on risk identify small molecule PGK1 Chemdiv Targetmol libraries. effects confirmed cell experiments. Results: total 230 up- 325 down-regulated HER2, LumA, LumB, TN subtypes. new ten genes. analysis Cancer Genome Atlas (TCGA) indicated that prognosis poorer high-risk group compared low-risk group. accuracy ROC curve. Furthermore, functional enrichment analyses low- groups linked immune response. score correlated with tumor infiltrates. Moreover, four compounds highest lowest affinity energy identified. Notably, D231-0058 showed better inhibitory activity against cells. Conclusions: Ten (ACSS2, C2CD2, CXCL9, KRT15, MRPL13, NR3C2, PGK1, PIGR, RBP4, SORBS1) as signatures Additionally, results (2-((((4-(2-methyl-1H-indol-3-yl)-1,3-thiazol-2-yl)carbamoyl)methyl)sulfanyl)acetic acid) may be candidate treating

Language: Английский

Citations

0