LncRNA EWSAT1 Regulates the Tumorigenesis of NSCLC as a ceRNA by Modulating miR-330-5p/ITGA5 Axis

Cui, Su; Yang, Chunrong; Chen, Dong‐Yi

doi:10.1007/s10528-021-10069-4

Cited by 8 publications

(5 citation statements)

References 30 publications

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“…Therefore, for all these reasons, we realize that COL1A2, COL3A1, COL5A2, ITGA5, ITGAV, and ITGB1 genes expression provide important predictive information about metastatic-free and overall survival in PNENs and our results now confirm the predictive importance of COL and ITG genes in PNENs. Whereas prior studies about lung cancer were able to show a significant relationship between COL5A2, ITGA5, ITGAV, and ITGB1 gene expression only in nonsmall cell lung cancer (54)(55)(56)(57)(58), our results suggest that COL5A2, ITGA5, and ITGB1 expression in PNENs, used as co-dependent variables, provide more information about the risk of metastasis and overall survival than does pathological stage. Moreover, the predictive value of COL5A2, ITGA5, and ITGB1 expression in PNENs persisted in the subset of patients with pathological stage I and II.…”

Section: Discussioncontrasting

confidence: 93%

The Fibrosis-Targeted Collagen/Integrins Gene Profile Predicts Risk of Metastasis in Pulmonary Neuroendocrine Neoplasms

et al. 2021

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Recently, collagen/integrin genes have shown promise as predictors of metastasis mainly in non-small cell lung cancer and breast cancer. However, it is unknown if these gene expression profiling differ in metastatic potential of pulmonary neuroendocrine neoplasms (PNENs). In this study, we sought to identify differentially expressed collagen/integrin genes in PNENs in order to understand the molecular mechanisms underlying the development of stroma-associated fibrosis for invasion and metastasis. We compared collagen/integrin gene expression profiling between PNE tumors (PNETs) and PNE carcinomas (PNECs) using a two-stage design. First, we used PCR Array System for 84 ECM-related genes, and among them, we found COL1A2, COL3A1, COL5A2, ITGA5, ITGAV, and ITGB1 functionally involved in the formation of the stroma-associated fibrosis among PNENs histological subtypes. Second, we examined the clinical association between the six collagen/integrin genes in tumor tissues from 24 patients with surgically excised PNENs. However, the pathological exam of their resected tissues demonstrated that 10 developed lymph node metastasis and 7 distant metastasis. We demonstrated and validated up regulation of the six fibrogenic genes in PNECs and down regulation in PNETs that were significantly associated with metastasis-free and overall survival (P<0.05). Our study implicates up regulation of fibrogenic genes as a critical molecular event leading to lymph node and distant metastasis in PNENs.

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Section: Discussioncontrasting

confidence: 93%

The Fibrosis-Targeted Collagen/Integrins Gene Profile Predicts Risk of Metastasis in Pulmonary Neuroendocrine Neoplasms

et al. 2021

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“…We also identified ITGA5 (target gene of miR-28-x, miR-411-y, ssc-miR-1285), ITGA6 , and ITGAL (target gene of ssc-miR-326, ssc-miR-1, ssc-miR-9860-5p) as being significantly differentially expressed (DE) between the normoxic and hypoxic groups, and these are downstream genes related to the ECM, proteoglycans in cancer and focal adhesion pathways. ITGA5 expression was significantly higher in the TL group than in the TN group, but was not significantly different in the LN and LL groups, indicating that it may influence and regulate the apoptosis, differentiation, migration, and proliferation of ATII cells in Tibetan pigs ( 49 ). In our study, the differential expression of protein kinase B among the four groups may have been mediated by ITGA5, which is also enriched in the PI3K-Akt signaling pathway and regulates a wide range of cellular activities, including cell proliferation ( 50 ), apoptosis ( 51 ), and metabolic progression ( 52 ).…”

Section: Discussionmentioning

confidence: 92%

Integrative Analysis of the lncRNA-Associated ceRNA Regulatory Network Response to Hypoxia in Alveolar Type II Epithelial Cells of Tibetan Pigs

Yang

Yuan

et al. 2022

Front. Vet. Sci.

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The function of alveolar type II epithelial (ATII) cells is severely hampered by oxygen deficiency, and understanding the regulatory mechanisms controlling responses to hypoxia may assist in relieving injury induced by hypoxia. In this study, we cultured ATII cells from Tibetan pigs and Landrace pigs under hypoxic and normoxic environments to screen for differentially expressed (DE) lncRNAs, DEmiRNAs, and construct their associated ceRNA regulatory networks in response to hypoxia. Enrichment analysis revealed that target genes of DElncRNAs of Tibetan pigs and Landrace pig between the normoxic (TN, LN) and hypoxic (TL, LL) groups significantly enriched in the proteoglycans in cancer, renal cell carcinoma, and erbB signaling pathways, while the target genes of DEmiRNAs were significantly enriched in the axon guidance, focal adhesion, and mitogen-activated protein kinase (MAPK) signaling pathways. Hypoxia induction was shown to potentially promote apoptosis by activating the focal adhesion/PI3K-Akt/glycolysis pathway. The ssc-miR-20b/MSTRG.57127.1/ssc-miR-7-5p axis potentially played a vital role in alleviating hypoxic injury by regulating ATII cell autophagy under normoxic and hypoxic conditions. MSTRG.14861.4-miR-11971-z-CCDC12, the most affected axis, regulated numerous RNAs and may thus regulate ATII cell growth in Tibetan pigs under hypoxic conditions. The ACTA1/ssc-miR-30c-3p/MSTRG.23871.1 axis is key for limiting ATII cell injury and improving dysfunction and fibrosis mediated by oxidative stress in Landrace pigs. Our findings provide a deeper understanding of the lncRNA/miRNA/mRNA regulatory mechanisms of Tibetan pigs under hypoxic conditions.

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“…For the rst time, we constructed a new prognosis score model based three CRLS, and veri ed the effectiveness of the model by Cox regression, C-Index curve, ROC curve, and principal component analysis. LncRNA EWSAT1 have been reported to play an oncogene role in non-small cell lung cancer (NSCLC), osteosarcoma, and colorectal cancer [22][23][24]. GK-IT1 was veri ed to promote the progression of esophageal squamous cell carcinoma by activating the ERK/MAPK pathway [25].…”

Section: Discussionmentioning

confidence: 99%

A novel cuproptosis-related LncRNA signature predicts prognosis inpatients with esophageal carcinoma

Shang

Min

et al. 2023

Preprint

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Background: Esophageal cancer (ESCA) is a significant cause of tumor-related mortality worldwide. Cuproptosis is a novel cell death which is different from other regulate cell death, including ferroptosis, pyroptosis and apoptosis. However, the role of cuproptosis in the initiation and progression of ESCA remains unknown. Methods: The transcriptome data and clinical data of 173 patients with esophageal cancer in TCGA database were sorted and extracted with Perl software. Pearson correlation analysis was performed on cuproptosis related genes and all lncRNAs. The prognostic related lncRNAs were determined by univariate and multivariate Cox regression analysis, and a new prognostic model was constructed to calculate the risk score of each patient. C-Index curve, PCA analysis and ROC curve analysis were used to evaluate the prognosis prediction performance of 3- cuproptosis related lncRNAs (CRLs) model. In addition, multivariate Cox analysis was used to assess the prognostic value of the model in the entire cohort and in different subgroups. Results: The 3-CRLs risk scoring criteria including EWSAT1, AC125437.1 and GK-IT1 was established to evaluate the overall survival (OS) of ESCA. Survival analysis and ROC curve showed that the score had good prediction performance in TCGA train group and test group. The coefficients of each lncRNAs were analyzed using Lasso regression and lambda values were determined. principal component analysis was used to determine whether 3-CRLs can clearly distinguish the gap between high and low risk samples. Multivariate Cox regression showed that 3-CRLs characteristics were independent prognostic factors of OS. Norman map showed robust effectiveness in prognosis prediction. Conclusion: The risk characteristics based on 3-CRLs may be used to predict the prognosis of esophageal carcinoma patients

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LncRNA EWSAT1 Regulates the Tumorigenesis of NSCLC as a ceRNA by Modulating miR-330-5p/ITGA5 Axis

Cited by 8 publications

References 30 publications

The Fibrosis-Targeted Collagen/Integrins Gene Profile Predicts Risk of Metastasis in Pulmonary Neuroendocrine Neoplasms

The Fibrosis-Targeted Collagen/Integrins Gene Profile Predicts Risk of Metastasis in Pulmonary Neuroendocrine Neoplasms

Integrative Analysis of the lncRNA-Associated ceRNA Regulatory Network Response to Hypoxia in Alveolar Type II Epithelial Cells of Tibetan Pigs

A novel cuproptosis-related LncRNA signature predicts prognosis inpatients with esophageal carcinoma

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