&lt;p&gt;Correlations of lncRNAs with cervical lymph node metastasis and prognosis of papillary thyroid carcinoma&lt;/p&gt;

Li, Na; Cui, Mingming; Yu, Ping; Li, Qiang

doi:10.2147/ott.s191700

Cited by 16 publications

(23 citation statements)

References 38 publications

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“…We have shown that NEAT1 expression increases after GBM cells are exposed to radiation [ 47 ]. Although, FAM95B1 is still a poorly characterized lncRNA, one study in papillary thyroid carcinoma showed that FAM95B1 is significantly correlated with cervical lymph node metastasis, tumor staging, and prognosis [ 48 ]. FAM95B1 shows higher expression in glioblastoma (TCGA-GBM) compared with normal cortex samples from GTEx and lower-grade glioma (TCGA-LGG).…”

Section: Resultsmentioning

confidence: 99%

Synergism of Proneurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Kosti

Barreiro

Guardia

et al. 2021

Cancers

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Tumor suppressor microRNAs (miRNAs) have been explored as agents to target cancer stem cells. Most strategies use a single miRNA mimic and present many disadvantages, such as the amount of reagent required and the diluted effect on target genes. miRNAs work in a cooperative fashion to regulate distinct biological processes and pathways. Therefore, we propose that miRNA combinations could provide more efficient ways to target cancer stem cells. We have previously shown that miR-124, miR-128, and miR-137 function synergistically to regulate neurogenesis. We used a combination of these three miRNAs to treat glioma stem cells and showed that this treatment was much more effective than single miRNAs in disrupting cell proliferation and survival and promoting differentiation and response to radiation. Transcriptomic analyses indicated that transcription regulation, angiogenesis, metabolism, and neuronal differentiation are among the main biological processes affected by transfection of this miRNA combination. In conclusion, we demonstrated the value of using combinations of neurogenic miRNAs to disrupt cancer phenotypes and glioma stem cell growth. The synergistic effect of these three miRNA amplified the repression of oncogenic factors and the effect on cancer relevant pathways. Future therapeutic approaches would benefit from utilizing miRNA combinations, especially when targeting cancer-initiating cell populations.

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Section: Resultsmentioning

confidence: 99%

Synergism of Proneurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Kosti

Barreiro

Guardia

et al. 2021

Cancers

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“…It is highly expressed in colorectal cancer tissues and is involved in the proliferation, invasion, and migration of colorectal cancer cells [ 46 ]. Additionally, FAM95B1 has been shown to be associated with thyroid cancer [ 47 ]. Limitations of our study include the lack of cell or animal experiments and its retrospective nature.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive analysis of ceRNA network related to lincRNA in glioblastoma and prediction of clinical prognosis

Liu

Huang

et al. 2021

BMC Cancer

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Background Long intergenic non-coding RNAs (lincRNAs) are capable of regulating several tumours, while competitive endogenous RNA (ceRNA) networks are of great significance in revealing the biological mechanism of tumours. Here, we aimed to study the ceRNA network of lincRNA in glioblastoma (GBM). Methods We obtained GBM and normal brain tissue samples from TCGA, GTEx, and GEO databases, and performed weighted gene co-expression network analysis and differential expression analysis on all lincRNA and mRNA data. Subsequently, we predicted the interaction between lincRNAs, miRNAs, and target mRNAs. Univariate and multivariate Cox regression analyses were performed on the mRNAs using CGGA data, and a Cox proportional hazards regression model was constructed. The ceRNA network was further screened by the DEmiRNA and mRNA of Cox model. Results A prognostic prediction model was constructed for patients with GBM. We assembled a ceRNA network consisting of 18 lincRNAs, 6 miRNAs, and 8 mRNAs. Gene Set Enrichment Analysis was carried out on four lincRNAs with obvious differential expressions and relatively few studies in GBM. Conclusion We identified four lincRNAs that have research value for GBM and obtained the ceRNA network. Our research is expected to facilitate in-depth understanding and study of the molecular mechanism of GBM, and provide new insights into targeted therapy and prognosis of the tumour.

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“…We have shown that NEAT1 expression increases after GBM cells are exposed to radiation [64]. Although, FAM95B1 is still a poorly characterized lncRNA, one study in papillary thyroid carcinoma showed that FAM95B1 is signi cantly correlated with cervical lymph node metastasis, tumor staging and prognosis [65]. FAM95B1 shows higher expression in glioblastoma (TCGA-GBM) compared with normal cortex samples from GTEx and lower-grade glioma (TCGA-LGG).…”

Section: Lncrna Expression Is Affected By Mirna Combinationmentioning

confidence: 96%

Synergism of Pro-neurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Kosti

Barreiro

Guardia

et al. 2020

Preprint

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Background: Tumor suppressor microRNAs (miRNAs) have been explored as agents to target cancer stem cells. Most strategies use a single miRNA mimic and present many disadvantages, such as the amount of reagent required and the diluted effect on target genes. miRNAs work in a cooperative fashion to regulate distinct biological processes and pathways. This information can be used to design more efficient ways to target cancer stem cells via miRNA combinations. Methods: We transfected glioma stem cell and neuroblastoma lines with miRNA combinations and evaluate their impact on cancer relevant phenotypes and neuronal differentiation. RNA-seq analysis was conducted then to determine the expression alterations induced by the miRNA combination and map target genes and affected pathways. Results: We have shown that miR-124, miR-128, and miR-137 function synergistically to regulate neurogenesis. We used a combination of these three miRNAs to treat glioma stem cells. miR-124, miR-128 and miR-137 combined treatment was much more effective than single miRNAs in disrupting cell proliferation and survival and promoting differentiation and response to radiation. Transcriptomic analyses indicated that transcription regulation, angiogenesis, metabolism, and neuronal differentiation are among the main biological processes affected by transfection of this miRNA combination. Finally, in search of other combinations of other tumor suppressor/pro-neurogenic miRNAs, we identified a miRNA cluster based on target predictions and established miR-29, miR-101, and miR-218 combination as an alternative to be used in cancer therapy.Conclusions: We demonstrated the value of using combinations of neurogenic miRNAs to disrupt cancer phenotypes and glioma stem cell growth. Our genomic analyses in GSCs established that the synergistic effect of these three miRNA amplified the repression of oncogenic factors and the effect on cancer relevant pathways. These results suggest that future therapeutic approaches would benefit from utilizing miRNA combinations, especially when targeting cancer-initiating cell populations.

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<p>Correlations of lncRNAs with cervical lymph node metastasis and prognosis of papillary thyroid carcinoma</p>

Cited by 16 publications

References 38 publications

Synergism of Proneurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Synergism of Proneurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Comprehensive analysis of ceRNA network related to lincRNA in glioblastoma and prediction of clinical prognosis

Synergism of Pro-neurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

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<p>Correlations of lncRNAs with cervical lymph node metastasis and prognosis of papillary thyroid carcinoma</p>

Cited by 16 publications

References 38 publications

Synergism of Proneurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Synergism of Proneurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells

Comprehensive analysis of ceRNA network related to lincRNA in glioblastoma and prediction of clinical prognosis

Synergism of Pro-neurogenic miRNAs&nbsp;Provides a More Effective Strategy to Target Glioma Stem Cells

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Synergism of Pro-neurogenic miRNAs Provides a More Effective Strategy to Target Glioma Stem Cells