Promoter hypermethylation-mediated downregulation of tumor suppressor gene SEMA3B and lncRNA SEMA3B-AS1 correlates with progression and prognosis of esophageal squamous cell carcinoma

Zhao, Dong; Liang, Xiaoliang; Wu, Xuan; Kang, Xiaoliang; Guo, Yanli; Shen, Supeng; Liang, Jia; Guo, Wei

doi:10.1007/s10585-019-09964-3

Cited by 30 publications

(19 citation statements)

References 37 publications

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“…LINC00668 promoted tumorigenesis and progression and indicated poor prognosis in not only breast cancer but also other cancers, such as colorectal cancer, hepatocellular carcinoma and non-small-cell lung cancer [25][26][27][28]. SEMA3B-AS1 might serve as a new tumor suppressor to inhibit the development of hepatocellular carcinoma, esophageal squamous cell carcinoma and gastric cardia adenocarcinoma [29][30][31]. Consistent with our results, LINC00578 and LINC00668, as high-risk BCSCrelated lncRNAs, were correlated with worse prognosis in breast cancer patients, whereas SEMA3B-AS1, as a low-risk BCSC-related lncRNA, was associated with better prognosis in breast cancer patients.…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of stemness-related lncRNA prognostic signature for breast cancer

et al. 2020

J Transl Med

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Background: Long noncoding RNAs (lncRNAs) are emerging as crucial contributors to the development of breast cancer and are involved in the stemness regulation of breast cancer stem cells (BCSCs). LncRNAs are closely associated with the prognosis of breast cancer patients. It is critical to identify BCSC-related lncRNAs with prognostic value in breast cancer. Methods: A co-expression network of BCSC-related mRNAs-lncRNAs from The Cancer Genome Atlas (TCGA) was constructed. Univariate and multivariate Cox proportional hazards analyses were used to identify a stemness risk model with prognostic value. Kaplan-Meier analysis, univariate and multivariate Cox regression analyses and receiver operating characteristic (ROC) curve analysis were performed to validate the risk model. Principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA) functional annotation were conducted to analyze the risk model. Results: In this study, BCSC-related lncRNAs in breast cancer were identified. We evaluated the prognostic value of these BCSC-related lncRNAs and eventually obtained a prognostic risk model consisting of 12 BCSC-related lncR-NAs (Z68871.

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Section: Discussionmentioning

confidence: 99%

Identification and validation of stemness-related lncRNA prognostic signature for breast cancer

et al. 2020

J Transl Med

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“…In recent years, a large number of lncRNAs have been found to be increased or decreased in a variety of human malignancies, and some specific lncRNAs have been reported to play crucial roles during ESCC progression (22)(23)(24)(25). For example, lncRNA SNHG6 was upregulated in ESCC tissues and cell lines and was associated with advanced TNM stage, lymph node metastasis, and shorter survival time in patients with ESCC, and SNHG6 promotes ESCC cell proliferation, migration and invasion (26).…”

Section: Discussionmentioning

confidence: 99%

Upregulation of cervical carcinoma expressed PCNA regulatory long non‑coding RNA promotes esophageal squamous cell carcinoma progression

et al. 2020

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Cervical carcinoma expressed PCNA regulatory long non-coding (lnc)RNA (CCEPR) has recently been reported to play oncogenic roles in some common types of human cancer. However, the clinical significance of CCEPR mRNA expression levels in esophageal squamous cell carcinoma (ESCC) and the exact function of CCEPR in regulating the malignant phenotypes of ESCC cells have not been previously investigated. In the present study, CCEPR mRNA expression level was upregulated in ESCC tissues and cell lines, and overexpression of CCEPR was associated with advanced TNM stage, lymph node metastasis, and poor prognosis in ESCC. In vitro experiments showed that silencing CCEPR mRNA expression levels significantly suppressed the proliferation, migration, and invasion of ESCC cells, while inducing ESCC cell apoptosis. Furthermore, inhibition of CCEPR decreased the protein expression levels of matrix metalloproteinase (MMP)2 and MMP9 and inhibited epithelial-mesenchymal transition in ESCC cells. In conclusion, the results showed that CCEPR plays an oncogenic role in ESCC and suggests that CCEPR could be used as a potential therapeutic target for ESCC treatment.

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“…Among these 11 autophagyassociated lncRNAs, SEMA3B-AS1, LINC01871, and AL122010.1 have been identified as both BRCA stem cellassociated lncRNAs, which are associated with the prognosis of BRCA patients (20). In addition, studies have shown that SEMA3B-AS1 is involved in the regulation of progression in gastric, hepatocellular, and esophageal cancers (21)(22)(23).…”

Section: Discussionmentioning

confidence: 99%

Autophagy related long non-coding RNA and breast cancer prognosis analysis and prognostic risk model establishment

Luo¹,

Nong²,

Ma³

et al. 2022

Ann Transl Med

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Background: The role of autophagy-related long-stranded non-coding RNA (lncRNA) in breast cancer (BRCA) is unclear. We proposed to screen autophagy-related lncRNAs in BRCA and construct a prognostic risk assessment model to explore prognostic correlates. Methods:We extracted BRCA lncRNAs from The Cancer Genome Atlas (TCGA) database and autophagy-related genes from the Human Autophagy Database (HADb), to screen for autophagy-related lncRNA pairs (ARLP) in BRCA. Single-factor Cox regression analysis and multi-factor Cox regression analysis were used to screen lncRNAs associated with BRCA prognosis, and risk models were established. We divided BRCA patients into high-risk and low-risk groups based on median risk scores. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to calculate the abundance of 28 immune cells in the TCGA-BRCA cohort and to analyze the relationship between the risk score and the level of immune cell infiltration by ARLP characteristics.Results: Univariate Cox regression results showed that 42 ARLPs were significantly associated with overall survival (OS) in BRCA patients. Further multifactorial analysis showed that a total of 11 lncRNAs, including

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Promoter hypermethylation-mediated downregulation of tumor suppressor gene SEMA3B and lncRNA SEMA3B-AS1 correlates with progression and prognosis of esophageal squamous cell carcinoma

Cited by 30 publications

References 37 publications

Identification and validation of stemness-related lncRNA prognostic signature for breast cancer

Identification and validation of stemness-related lncRNA prognostic signature for breast cancer

Upregulation of cervical carcinoma expressed PCNA regulatory long non‑coding RNA promotes esophageal squamous cell carcinoma progression

Autophagy related long non-coding RNA and breast cancer prognosis analysis and prognostic risk model establishment

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