IncRNA Linc00511 Upregulation Elevates TGFBR1 and Participates in the Postoperative Distant Recurrence of Non-Small-Cell Lung Cancer by Targeting miR-98-5p

li, chunling; li, zhenyu; Hua, Yuansheng; liu, zhidong

doi:10.1615/critreveukaryotgeneexpr.2022039498

Cited by 9 publications

(6 citation statements)

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“…Moreover, TGFBR1 also contributed to pulmonary fibrosis and non-small cell lung cancer (NSLC) by interacting with let-7i-5p and miR-98-5p, respectively (Jiang et al, 2019;Xu C. et al, 2022). The miR-98-5p-TGFBR1 interaction could be regulated by lncRNA Linc00511 which participated in the recurrence of NSLC (Li et al, 2022). Zhong and colleagues confirmed that miR-98-5p promoted COL1A2 inducing extracellular matrix deposition and contributing to asthma pathogenesis in human (Zhong et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

mRNA and lncRNA co-expression network in mice of acute intracerebral hemorrhage

Cai

et al. 2023

Front. Mol. Neurosci.

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BackgroundIntracerebral hemorrhage (ICH) is a severe subtype of stroke lacking effective pharmacological targets. Long noncoding RNA (lncRNA) has been confirmed to participate in the pathophysiological progress of various neurological disorders. However, how lncRNA affects ICH outcomes in the acute phase is not completely clear. In this study, we aimed to reveal the relationship of lncRNA-miRNA-mRNA following ICH.MethodWe conducted the autologous blood injection ICH model and extracted total RNAs on day 7. Microarray scanning was used to obtain mRNA and lncRNA profiles, which were validated by RT-qPCR. GO/KEGG analysis of differentially expressed mRNAs was performed using the Metascape platform. We calculated the Pearson correlation coefficients (PCCs) of lncRNA-mRNA for co-expression network construction. A competitive endogenous (Ce-RNA) network was established based on DIANALncBase and miRDB database. Finally, the Ce-RNA network was visualized and analyzed by Cytoscape.ResultsIn total, 570 differentially expressed mRNAs and 313 differentially expressed lncRNAs were identified (FC ≥ 2 and value of p <0.05). The function of differentially expressed mRNAs was mainly enriched in immune response, inflammation, apoptosis, ferroptosis, and other typical pathways. The lncRNA-mRNA co-expression network contained 57 nodes (21 lncRNAs and 36 mRNAs) and 38 lncRNA-mRNA pairs. The ce-RNA network was generated with 303 nodes (29 lncRNAs, 163 mRNAs, and 111 miRNAs) and 906 edges. Three hub clusters were selected to indicate the most significant lncRNA-miRNA-mRNA interactions.ConclusionOur study suggests that the top differentially expressed RNA molecules may be the biomarker of acute ICH. Furthermore, the hub lncRNA-mRNA pairs and lncRNA-miRNA-mRNA correlations may provide new clues for ICH treatment.

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Section: Discussionmentioning

confidence: 99%

mRNA and lncRNA co-expression network in mice of acute intracerebral hemorrhage

Cai

et al. 2023

Front. Mol. Neurosci.

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“…However, a recent study presented contradictory results. Through the regulation of the miR-98-5p/TGFBR1 axis, Li et al, found that LINC00551 may promote postoperative distant recurrence in non-small-cell lung cancer [ 27 ]. LINC00571 was identified as a risk factor with HR >1 for patients with triple-negative breast cancer, and high LINC00571 expression was associated with poor overall survival [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

A comprehensive prognostic and immunological analysis of telomere-related lncRNAs in kidney renal clear cell carcinoma

Chen,

Zhang,

Ren

et al. 2023

Aging

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Kidney renal clear cell carcinoma (KIRC) is one of the most prevalent malignant tumors of the urinary system, with a high recurrence and metastasis rate. Telomeres and long non-coding RNAs (lncRNAs) have been documented playing critical roles in cancer progression. However, the prognostic significance of telomere-related lncRNA (TRLs) in KIRC is less well-defined. The Cancer Genome Atlas database was applied to retrieve the expression profiles and corresponding clinical information of KIRC patients. To create the TRLs prognostic signature, univariate Cox regression, least absolute shrinkage and selection operator analyses were performed. The prognostic signature, comprised of nine prognostic TRLs, was developed and demonstrated superior prognostic ability for KIRC patients. Additionally, the risk score acted as an independent prognostic indicator. A nomogram incorporating age, grade, stage, and signature-based risk scores was also developed and exhibited excellent predictive accuracy. Several immune activities were associated with the signature, as determined by gene function analysis. Further analysis revealed differences in the status of immunity and the tumor microenvironment between low- and high-risk groups. Notably, KIRC patients with high-risk scores were more responsive to immunotherapy and chemotherapy. To summarize, our study developed a new prognostic signature consisting of nine telomere-related lncRNA that can precisely predict the prognosis of KIRC patients. The signature was shown to be of substantial value for the tumor microenvironment and tumor mutation burden, thereby contributing to a framework for the individualized treatment of patients.

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“…The TF FOXP3, which is best known for inducing differentiation of regulatory T cells, can also be misexpressed in NSCLC cells, thus inducing the expression of LINC01232 that associates directly with the IGF2BP2 protein; IGF2BP2 is an RNA-binding protein that associated with and stabilized the TGFBR1 mRNA, thus causing an indirect enhancement of pro-oncogenic TGF-β signaling in the lung cancer cells ( 47 ). LINC00511 , which is selectively overexpressed in NSCLC patients, can function as a ceRNA for miR-98-5p , another negative regulator of TGFBR1 mRNA expression, thus making LINC00511 an activator of pro-oncogenic TGF-β signaling in NSCLC ( 48 ). The small nucleolar RNA host gene 3 ( SNHG3 ) can be highly expressed in NSCLC possibly due to the transcriptional activation of its gene by E2F1 and belongs to the general class of ceRNAs that sponge miRNAs ( 49 ).…”

Section: Lung Cancermentioning

confidence: 99%

Unboxing the network among long non-coding RNAs and TGF-β signaling in cancer

Rodrigues-Junior,

Moustakas

2024

ujms

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Deeper analysis of molecular mechanisms arising in tumor cells is an unmet need to provide new diagnostic and therapeutic strategies to prevent and treat tumors. The transforming growth factor β (TGF-β) signaling has been steadily featured in tumor biology and linked to poor prognosis of cancer patients. One pro-tumorigenic mechanism induced by TGF-β is the epithelial-to-mesenchymal transition (EMT), which can initiate cancer dissemination, enrich the tumor stem cell population, and increase chemoresistance. TGF-β signals via SMAD proteins, ubiquitin ligases, and protein kinases and modulates the expression of protein-coding and non-coding RNA genes, including those encoding larger than 500 nt transcripts, defined as long non-coding RNAs (lncRNAs). Several reports have shown lncRNAs regulating malignant phenotypes by directly affecting epigenetic processes, transcription, and post-transcriptional regulation. Thus, this review aims to update and summarize the impact of TGF-β signaling on the expression of lncRNAs and the function of such lncRNAs as regulators of TGF-β signaling, and how these networks might impact specific hallmarks of cancer.

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IncRNA Linc00511 Upregulation Elevates TGFBR1 and Participates in the Postoperative Distant Recurrence of Non-Small-Cell Lung Cancer by Targeting miR-98-5p

Cited by 9 publications

References 0 publications

mRNA and lncRNA co-expression network in mice of acute intracerebral hemorrhage

mRNA and lncRNA co-expression network in mice of acute intracerebral hemorrhage

A comprehensive prognostic and immunological analysis of telomere-related lncRNAs in kidney renal clear cell carcinoma

Unboxing the network among long non-coding RNAs and TGF-β signaling in cancer

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