Epithelial-mesenchymal transition-related long noncoding RNAs in gastric carcinoma

Feng, Yingnan; Li, Bo-Ya; Wang, Ke; Li, Xiaoxi; Zhang, Lan; Dong, Xian‐Zhe

doi:10.3389/fmolb.2022.977280

Cited by 3 publications

(1 citation statement)

References 222 publications

(189 reference statements)

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“…In terms of GC, lncRNAs mediate a variety of signaling pathways, including Wnt, PI3K/AKT, Hippo, MEK/ERK and Notch1, regulating the process of EMT in GC. And lncRNAs regulate EMT-induced GC metastasis through transcription factors and sponging miRNAs ( 25 ). In addition, EMT-related lncRNAs can be used as biomarkers to judge the prognosis, treatment, and immune infiltration of tumor patients.…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of an epithelial-mesenchymal transition-related lncRNA pairs prognostic model for gastric cancer

Song¹,

Zhu²,

Li³

et al. 2023

Transl Cancer Res

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Background: Gastric cancer (GC) is a common malignancy. A mounting body of evidence has demonstrated the correlation between GC prognosis and epithelial-mesenchymal transition (EMT)-related biomarkers. This research constructed an available model using EMT-related long noncoding RNA (lncRNA) pairs to predict the survival for GC patients. Methods:The transcriptome data along with clinical information on GC samples were derived from The Cancer Genome Atlas (TCGA). Differentially expressed EMT-related lncRNAs were acquired and paired.Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were applied to filter lncRNA pairs, and the risk model was built to investigate its effect on the prognosis of GC patients. Then, the areas under the receiver operating characteristic curves (AUCs) were calculated and the cutoff point for distinguishing low-or high-risk GC patients was identified. And the predictive ability of this model was tested in the GSE62254. Furthermore, the model was evaluated from the perspectives of survival time, clinicopathological parameters, infiltration of immunocytes, and functional enrichment analysis.Results: The risk model was built by using the identified twenty EMT-related lncRNA pairs, and it was not necessary to know the specific expression level of each lncRNA. Survival analysis pointed out that GC patients with high risk had poorer outcomes. Additionally, this model could be an independent prognostic variable for GC patients. The accuracy of the model was also verified in the testing set. Conclusions:The new predictive model constructed here is composed of EMT-related lncRNA pairs, with reliable prognostic values, and can be utilized to predict the survival of GC.

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Section: Discussionmentioning

confidence: 99%

Identification and validation of an epithelial-mesenchymal transition-related lncRNA pairs prognostic model for gastric cancer

Song¹,

Zhu²,

Li³

et al. 2023

Transl Cancer Res

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Peptide-functionalized zinc oxide nanoparticles for the selective targeting of breast cancer expressing placenta-specific protein 1

Cagliani

Fayed

Jagal

et al. 2023

Colloids and Surfaces B: Biointerfaces

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Highly expressed B3GALT5‐AS1 contributes to gastric cancer progression by recruiting WDR5 to mediate B3GALT5 and regulating β‐catenin/ZEB1 axis

Feng,

Tang,

Jing

et al. 2024

J Cellular Molecular Medi

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Long non‐coding RNAs (lncRNAs) play an important role in the progression of gastric cancer (GC), but its specific regulatory mechanism remains to be further studied. We previously identified that lncRNA B3GALT5‐AS1 was upregulated in GC serum. Here, we investigated the functions and molecular mechanisms of B3GALT5‐AS1 in GC tumorigenesis. qRT‐PCR was used to detect B3GALT5‐AS1 expression in GC. EdU, CCK‐8, and colony assays were utilized to assess the proliferation ability of B3GAL5‐AS1, and transwell, tube formation assay were used to assess the invasion and metastasis ability. Mechanically, FISH and nuclear plasmolysis PCR identified the subcellular localization of B3GALT5‐AS1. RIP and CHIP assays were used to analyse the regulation of B3GALT5‐AS1 and B3GALT5. We observed that B3GALT5‐AS1 was highly expressed in GC, and silencing B3GALT5‐AS1 could inhibit the proliferation, invasion, and migratory capacities of GC. Additionally, B3GALT5‐AS1 was bound to WDR5 and modulated the expression of B3GALT5 via regulating the ZEB1/β‐catenin pathway. High‐expressed B3AGLT5‐AS1 promoted GC tumorigenesis and regulated B3GALT5 expression via recruiting WDR5. Our study is expected to provide a new idea for clinical diagnosis and treatment.

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Epithelial-mesenchymal transition-related long noncoding RNAs in gastric carcinoma

Cited by 3 publications

References 222 publications

Identification and validation of an epithelial-mesenchymal transition-related lncRNA pairs prognostic model for gastric cancer

Identification and validation of an epithelial-mesenchymal transition-related lncRNA pairs prognostic model for gastric cancer

Peptide-functionalized zinc oxide nanoparticles for the selective targeting of breast cancer expressing placenta-specific protein 1

Highly expressed B3GALT5‐AS1 contributes to gastric cancer progression by recruiting WDR5 to mediate B3GALT5 and regulating β‐catenin/ZEB1 axis

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