Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis

Zhu, Zhiguo; Wen, Yuan; Xuan, Chunxiang; Chen, Qingping; Xiang, Qian; Wang, Jiamin; Liu, Yangzhou; Luo, Lianmin; Zhao, Shankun; Deng, Yihan; Zhao, Zhigang

doi:10.1002/2211-5463.12805

Cited by 37 publications

(38 citation statements)

References 50 publications

(61 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, messenger RNAs (mRNAs) that encode proteins were previously considered as the main study targets. 6 The expression of Myc-associated zinc-finger protein (MAZ) was found to be upregulated in PCa tissues with bone metastasis compared with those without bone metastasis. 7 High expression level of MAZ was positively correlated with poor overall and bone metastasis-free survival in PCa patients.…”

Section: Introductionmentioning

confidence: 99%

Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer

Chen

et al. 2021

Technol Cancer Res Treat

View full text Add to dashboard Cite

Background: Bone metastasis is a leading cause of the high mortality rate of prostate cancer (PCa), but curative strategies remain lacking. Recent studies suggest long non-coding RNAs (lncRNAs) may be potential targets to develop drugs. However, PCa bone metastasis-specifically-related lncRNAs were rarely reported. This study aimed to identify crucial lncRNAs and reveal their function mechanisms. Methods: GSE32269 and GSE26964 microarray datasets, downloaded from the Gene Expression Omnibus database, were used to analyze differentially expressed genes (DEGs)/lncRNAs (DELs) and miRNAs (DEMs), respectively. Weighted gene co-expression network analysis was performed to screen PCa bone metastasis-associated modules. The co-expression and competing endogenous RNAs (ceRNAs) networks were constructed to identify hub lncRNAs. Univariate Cox regression analysis was conducted to determine their prognostic values. The correlation of lncRNAs with immune infiltrating cells was analyzed by using Tumor IMmune Estimation Resource. Therapeutic drugs were predicted by querying the Connectivity Map (CMap) and the Comparative Toxicogenomics Database (CTD). Results: A total of 18 DELs, 2,614 DEGs and 86 DEMs were screened between bone metastatic and primary PCa samples. Four modules enriched by DEGs were shown to be bone metastasis-associated. LncRNA HCG18 and MCM3AP-AS1 were identified to be important because they existed in both of the co-expression and ceRNA networks (forming the relationship pairs: HCG18/MCM3AP-AS1-KNTC1, MCM3AP-AS1-hsa-miR-508-3p-DTL and HCG18/MCM3AP-AS1-hsa-miR-127-3p-CDKN3). All the genes in these interaction pairs were significantly associated with overall survival of PCa patients. Also, HCG18, MCM3AP-AS1 and their target mRNAs were positively correlated with various tumor-infiltrated immune cells, especially increased M2 macrophages. Valproic acid and trichostatin A may be effective to treat PCa bone metastasis by targeting HCG18 and MCM3AP-AS1. Conclusion: HCG18 and MCM3AP-AS1 that regulate M2 macrophage infiltration may be important targets to treat PCa bone metastasis and improve prognosis.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer

Chen

et al. 2021

Technol Cancer Res Treat

View full text Add to dashboard Cite

show abstract

“…Our patient group comparison at diagnosis based on their overall survival showed that miR-328, miR-671-3p, miR-636 and miR-363 are upregulated in relapsed patients. These miRs are described in the literature as promising prognostic biomarkers in AML or other malignant diseases [ 21 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 ]. Interestingly, all the patients involved in this comparison were not grafted, which suggests that these four miRs could constitute a signature to guide the choice of the best treatment strategy, especially the utility of grafting patients at diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Acute Myeloid Leukemia Bone Marrow Circulating MicroRNAs

Agha

Rouas

Najar

et al. 2020

IJMS

View full text Add to dashboard Cite

Background: In addition to their roles in different biological processes, microRNAs in the tumor microenvironment appear to be potential diagnostic and prognostic biomarkers for various malignant diseases, including acute myeloid leukemia (AML). To date, no screening of circulating miRNAs has been carried out in the bone marrow compartment of AML. Accordingly, we investigated the circulating miRNA profile in AML bone marrow at diagnosis (AMLD) and first complete remission post treatment (AMLPT) in comparison to healthy donors (HD). Methods: Circulating miRNAs were isolated from AML bone marrow aspirations, and a low-density TaqMan miRNA array was performed to identify deregulated miRNAs followed by quantitative RT-PCR to validate the results. Bioinformatic analysis was conducted to evaluate the diagnostic and prognostic accuracy of the highly and significantly identified deregulated miRNA(s) as potential candidate biomarker(s). Results: We found several deregulated miRNAs between the AMLD vs. HD vs. AMLPT groups, which were involved in tumor progression and immune suppression pathways. We also identified significant diagnostic and prognostic signatures with the ability to predict AML patient treatment response. Conclusions: This study provides a possible role of enriched circulating bone marrow miRNAs in the initiation and progression of AML and highlights new markers for prognosis and treatment monitoring.

show abstract

“…Bii et al illustrated that MBNL2 was identi ed as a candidate gene in PCa progression [37] . Zhu et al demonstrated that miR-636 promotes cell invasion and migration, which might promote bone metastasis of PCa by targeting MBNL2 [38] . Taken together, we speculate that NOTCH1, GRIN1, STUB1, and MBNL2 contribute to the progression of CRPC.…”

Section: Discussionmentioning

confidence: 99%

Identification of Androgen Receptor Variant 7-related RNAs Affecting Abiraterone Efficacy in Castration-resistant Prostate Cancer Treatment by RNA-sequencing

Wang¹,

Cao²,

Tang³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: This study aimed to identify androgen receptor variant 7 (AR-V7)-related RNAs affecting Abiraterone treatment of castration-resistant prostate cancer (CRPC) using RNA-sequencing. Methods: To identify AR-V7-related RNAs affecting Abiraterone treatment of CRPC, a series of in vitro experiments were employed, including cell proliferation assay, cell apoptosis assay, Western blot analysis, and Real-time quantitative reverse transcription PCR (qRT-PCR). After RNA-sequencing, the differentially expressed (DE) mRNAs and DE long non-coding RNAs (lncRNAs) were screened and the lncRNA-mRNA pairs were identified. In addition, enrichment and Protein-protein interaction (PPI) network analyses were performed. Finally, the mRNA-miRNA-lncRNA competing endogenous RNAs (ceRNA) network was built, along with survival analysis. Results: A total of 1,387 AR-V7-related RNAs affecting Abiraterone treatment of CRPC were identified. The enrichment analysis showed that the target genes of DEmRNAs and DElncRNAs were primarily involved in cancer-related pathways, including the ErbB signaling pathway, pathways in cancer, and basal cell carcinoma. In addition, notch receptor 1 (NOTCH1), ionotropic NMDA glutamate receptor type subunit 1 (GRIN1), U-box containing protein 1 (STUB1), and mitogen-activated protein kinase 7 (MAP2K7) with high degrees in the PPI network. Moreover, MAP2K7 was regulated by hsa-miR-6825-5p, which in turn was regulated by MAFG-AS1 lncRNA in the ceRNA network. The survival analysis revealed that a total of four lncRNAs, including MAFG-AS1, and 17 mRNAs, including high muscle blind-like splicing regulator 2 (MBNL2), were associated with disease-free survival (RFS). Among them, only MBNL2 overexpression correlated with good survival outcome. The NOTCH1, GRIN1, STUB1, MBNL2, and ErbB signaling pathways are likely related to the efficacy of Abiraterone in CRPC treatment. Moreover, the MAFG-AS1-hsa-miR-6825-5p-MAP2K7 axis could be a therapeutic target for Abiraterone in CRPC treatment.Conclusions: NOTCH1, GRIN1, STUB1, MBNL2, and the ErbB signaling pathway may relate to the progression of CRPC. MAFG-AS1-hsa-miR-6825-5p-MAP2K7 axis might be a potential therapeutic target for Abiraterone in CRPC.

show abstract

Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis

Cited by 37 publications

References 50 publications

Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer

Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer

Identification of Acute Myeloid Leukemia Bone Marrow Circulating MicroRNAs

Identification of Androgen Receptor Variant 7-related RNAs Affecting Abiraterone Efficacy in Castration-resistant Prostate Cancer Treatment by RNA-sequencing

Contact Info

Product

Resources

About