The RNA‐Binding Proteins MCPIP2 and IGF2BP1 Competitively Modulate Breast Tumor Angiogenesis by Antagonizing VEGFA mRNA Stability and Expression DOI Creative Commons
Wenbao Lu, Hongwei Li,

Xueting Liu

et al.

The FASEB Journal, Journal Year: 2025, Volume and Issue: 39(10)

Published: May 12, 2025

ABSTRACT Tumor angiogenesis is essential for further growth and metastasis of solid tumors. However, the mechanisms underlying angiogenesis‐related gene expression have yet to be clarified. Here, we discovered RNA‐binding proteins monocyte chemotactic protein‐induced protein 2 (MCPIP2) insulin‐like factor mRNA‐binding 1 (IGF2BP1) function as a pair antagonists that modulate breast tumor by competitively regulating mRNA stability proangiogenic transcripts, including vascular endothelial A ( VEGFA ), Erb‐B2 receptor tyrosine kinase ERBB2 interleukin‐8 IL8 C‐X‐C motif chemokine ligand CXCL1 ephrin A1 EFNA1 ). Mechanistically, MCPIP2 physically interacted with stem–loop structures in 3′‐untranslated region transcripts through its RNase domain destabilize their mRNAs. Ribosomal might required MCPIP2‐mediated destabilization On other hand, IGF2BP1 can stabilize mRNAs binding common RNA structures. Furthermore, found human tumors was repressed, whereas increased. Lower higher were significantly associated poor survival cancer patients, respectively. Notably, there reversed correlation relationship between MCPIP2, expression, samples. Collectively, our results elucidate novel mechanism which provides new insights into antiangiogenic therapy cancer.

Language: Английский

RNA binding protein ILF3 increases CEP55 mRNA stability to enhance malignant potential of breast cancer cells and suppress ferroptosis DOI Creative Commons
Sheng Chen, Yuan Luo,

Si‐Min Ruan

et al.

Hereditas, Journal Year: 2025, Volume and Issue: 162(1)

Published: Jan. 27, 2025

Language: Английский

Citations

0
N4‐Acetylcytidine‐Mediated CD2BP2‐DT Drives YBX1 Phase Separation to Stabilize CDK1 and Promote Breast Cancer Progression DOI Creative Commons
Hongyu Wang,

Bohui Zhao,

Jiayu Zhang

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Abstract Long noncoding RNAs (lncRNAs) play critical roles in the initiation and progression of breast cancer. However, specific mechanisms biological functions lncRNAs cancer remain incompletely understood. Bioinformatics analysis identifies a novel lncRNA, CD2BP2‐DT, that is overexpressed correlates with adverse clinicopathological features poor overall survival. Both vivo vitro experiments demonstrate CD2BP2‐DT promotes proliferation cells. Mechanistically, NAT10 mediates N4‐acetylcytidine (ac4C) modification enhancing its RNA stability expression. More importantly, enhances CDK1 mRNA by mediating YBX1 phase separation, thereby promoting In conclusion, lncRNA identified as crucial driver cell through YBX1/CDK1 axis, highlighting potential promising biomarker therapeutic target for

Language: Английский

Citations

0
Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer DOI Creative Commons

Yunxia Zhao,

Li Li,

Shuqi Yuan

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: April 16, 2025

Breast cancer is the most common malignancy in women globally, with significant heterogeneity affecting prognosis and treatment. RNA-binding proteins play vital roles tumor progression, yet their prognostic potential remains unclear. This study introduces an Artificial Intelligence-Assisted RBP Signature (AIRS) model to improve accuracy guide personalized Data from 14 BC cohorts (9,000+ patients) were analyzed using 108 machine learning combinations. The AIRS model, built on three key genes (PGK1, MPHOSPH10, MAP2K6), stratified patients into high- low-risk groups. Genomic alterations, single-cell transcriptomics, microenvironment characteristics, drug sensitivity assessed uncover AIRS-associated mechanisms. demonstrated superior performance, surpassing 106 established signatures. High scores correlated elevated mutational burden, specific copy number immune-suppressive TME. Single-cell analysis revealed functional epithelial cells, linking high pathways like transcription factor binding. Regulatory network identified factors such as MYC. Low predicted better responses immune checkpoint inhibitors, while highlighted panobinostat paclitaxel therapies for high-risk patients. offers a robust tool treatment stratification, integrating genomic, transcriptomic, data. It provides actionable insights therapy, paving way improved clinical outcomes. Future studies should validate findings across diverse populations expand analyses.

Language: Английский

Citations

0
The RNA‐Binding Proteins MCPIP2 and IGF2BP1 Competitively Modulate Breast Tumor Angiogenesis by Antagonizing VEGFA mRNA Stability and Expression DOI Creative Commons
Wenbao Lu, Hongwei Li,

Xueting Liu

et al.

The FASEB Journal, Journal Year: 2025, Volume and Issue: 39(10)

Published: May 12, 2025

ABSTRACT Tumor angiogenesis is essential for further growth and metastasis of solid tumors. However, the mechanisms underlying angiogenesis‐related gene expression have yet to be clarified. Here, we discovered RNA‐binding proteins monocyte chemotactic protein‐induced protein 2 (MCPIP2) insulin‐like factor mRNA‐binding 1 (IGF2BP1) function as a pair antagonists that modulate breast tumor by competitively regulating mRNA stability proangiogenic transcripts, including vascular endothelial A ( VEGFA ), Erb‐B2 receptor tyrosine kinase ERBB2 interleukin‐8 IL8 C‐X‐C motif chemokine ligand CXCL1 ephrin A1 EFNA1 ). Mechanistically, MCPIP2 physically interacted with stem–loop structures in 3′‐untranslated region transcripts through its RNase domain destabilize their mRNAs. Ribosomal might required MCPIP2‐mediated destabilization On other hand, IGF2BP1 can stabilize mRNAs binding common RNA structures. Furthermore, found human tumors was repressed, whereas increased. Lower higher were significantly associated poor survival cancer patients, respectively. Notably, there reversed correlation relationship between MCPIP2, expression, samples. Collectively, our results elucidate novel mechanism which provides new insights into antiangiogenic therapy cancer.

Language: Английский

Citations

0