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Published on: July 20, 2019
SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer
Yiqi Zhang1, Ang Zheng2, Yue Shi1
1Department of Surgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Abstract:
Small nucleolar RNAs (snoRNAs) have robust potential functions and therapeutic value in breast cancer. Herein, we investigated the role SNORA5A in breast cancer. Samples from The Cancer Genome Atlas (TCGA) were reviewed. The transcription matrix and clinical information were analyzed using R software and validated in clinical tissue samples. SNORA5A was significantly down-regulated in breast cancer, and high expression of SNORA5A correlated with a favorable prognosis. High expression of SNORA5A induced a high concentration of tumor-associated macrophages M1 and a low concentration of tumor-associated macrophages M2. Moreover, SNORA5A were clustered in terms related to cancer and immune functions. Possible downstream molecules of SNORA5A were identified, among which TRAF3IP3 was positively correlated with M1 and negatively correlated with M2. The function of TRAF3IP3 in tumor inhibition and its relationship with macrophages in clinical tissue samples were in accordance with bioinformatics analysis results. SNORA5A could regulate macrophage phenotypes through TRAF3IP3 and serves as a potential prognostic marker for breast cancer patients.
Insights
Small nucleolar RNA SNORA5A is down-regulated in breast cancer, impacting tumor-associated macrophage phenotypes and patient prognosis. Its regulation of macrophages via TRAF3IP3 suggests potential as a therapeutic target.
Area of Science:
- Oncology
- Molecular Biology
- Immunology
Background:
- Small nucleolar RNAs (snoRNAs) show promise for breast cancer therapy.
- The specific role of SNORA5A in breast cancer remains largely unexplored.
Purpose of the Study:
- To investigate the function and prognostic value of SNORA5A in breast cancer.
- To elucidate the relationship between SNORA5A, tumor-associated macrophages, and potential downstream targets.
Main Methods:
- Analysis of The Cancer Genome Atlas (TCGA) transcription matrix and clinical data using R software.
- Validation of findings in clinical breast cancer tissue samples.
- Bioinformatic analysis to identify downstream molecules and related functions.
Main Results:
- SNORA5A was significantly downregulated in breast cancer tissues.
- High SNORA5A expression correlated with favorable prognosis and modulated M1/M2 macrophage balance.
- TRAF3IP3 was identified as a downstream molecule regulated by SNORA5A, influencing macrophage polarization.
Conclusions:
- SNORA5A plays a crucial role in regulating macrophage phenotypes in breast cancer, potentially through TRAF3IP3.
- SNORA5A represents a promising prognostic biomarker and therapeutic target for breast cancer.
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