T Cell Factor 4 Is Involved in Papillary Thyroid Carcinoma via Regulating Long Non-Coding RNA HCP5

Wang, Rui; Cai, Jinzhen; Xie, Shaolin; Zhao, Cheng; Wang, Yi; Cao, Deming; Li, Gang

doi:10.1177/1533033820983290

Cited by 5 publications

(2 citation statements)

References 35 publications

(42 reference statements)

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“…However, later a report showed an association between NLK (Nemo-like kinase), a member of the protein kinase (serine/threonine) superfamily, and TCF4 (T-cell factor 4), a transcription factor substrate for NLK in case of lung cancer that revealed that NLK expression was found to be negatively correlated with the expression of TCF4 in lung cancer advancement [ 93 ]. TCF-4, as a component of the Wnt pathway, also works as a tumor suppressor in colon cancer [ 94 ] and is involved in papillary thyroid carcinoma via regulation of HCP5 [ 95 ]. TBL1XR1 (Transducin (β)-like 1X related protein 1) is a subunit of SMRT/NCoR repressor complexes and is essentially required for activating signaling pathways [ 96 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach

Shafat

Ahmed

Almajhdi

et al. 2022

Genes

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Lung cancer is the major cause of cancer-associated deaths across the world in both men and women. Lung cancer consists of two major clinicopathological categories, i.e., small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Lack of diagnosis of NSCLC at an early stage in addition to poor prognosis results in ineffective treatment, thus, biomarkers for appropriate diagnosis and exact prognosis of NSCLC need urgent attention. The proposed study aimed to reveal essential microRNAs (miRNAs) involved in the carcinogenesis of NSCLC that probably could act as potential biomarkers. The NSCLC-associated expression datasets revealed 12 differentially expressed miRNAs (DEMs). MiRNA-mRNA network identified key miRNAs and their associated genes, for which functional enrichment analysis was applied. Further, survival and validation analysis for key genes was performed and consequently transcription factors (TFs) were predicted. We obtained twelve miRNAs as common DEMs after assessment of all datasets. Further, four key miRNAs and nine key genes were extracted from significant modules based on the centrality approach. The key genes and miRNAs reported in our study might provide some information for potential biomarkers profitable to increased prognosis and diagnosis of lung cancer.

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Section: Discussionmentioning

confidence: 99%

Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach

Shafat

Ahmed

Almajhdi

et al. 2022

Genes

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show abstract

“…For example, TCF4 inhibition represses cell proliferation and invasion but promotes cell cycle arrest and cell apoptosis in glioma (35). Moreover, in thyroid cancer, TCF4 binds to the promoter of lncRNA HLA complex P5 (HCP5) and activates HCP5 expression to facilitate cancer cell proliferation (36). Although TCF4 overexpression has previously been reported in thyroid cancer (34), the underlying mechanism that regulates its expression is unknown.…”

Section: Discussionmentioning

confidence: 99%

lncRNA EGFEM1P promotes thyroid cancer progression by acting as an miR‑369‑3p sponge and upregulating TCF4

Liu

Chen

2022

Oncol Lett

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Thyroid cancer is the most commonly diagnosed endocrine cancer, with the incidence of 14.42 per 100,000 person-years in 2010-2013. It is important to conduct an in-depth exploration into the molecular mechanisms of thyroid cancer, providing insights into the improvements of therapy. Long non-coding RNAs (lncRNAs) act as oncogenes or tumor suppressors in thyroid cancer by sponging microRNAs (miRNAs), however, the functions of numerous lncRNAs are still unknown. In the present study, via the comprehensive analysis of microarray data derived from papillary thyroid tumors and the RNA sequencing of thyroid tumors from The Cancer Genome Atlas database, EGF like and EMI domain containing 1 (EGFEM1P) expression levels in papillary thyroid tumors and normal adjacent tissues were explored. Reverse transcription-quantitative PCR was used to detect EGFEM1P, microRNA (miR)-369-3p and T cell factor 4 (TCF4) expression levels. Western blotting was used to detect TCF4 protein and cleaved caspase-3/8 expression levels. Cell proliferative ability and apoptosis were assessed using the Cell Counting Kit-8 assay and flow cytometry, respectively. The interactions between EGFEM1P and miR-369-3p, and miR-369-3p and TCF4, were determined using the dual-luciferase reporter assay. The results demonstrated that EGFEM1P was upregulated in papillary thyroid tumors and thyroid cancer cells compared with normal adjacent tissues and human normal thyroid epithelial Nthy-ori 3-1 cell line. In the examined thyroid cancer cells, EGFEM1P was demonstrated to interact with miR-369-3p and decreased miR-369-3p expression levels. Thereafter, TCF4 was determined to be a target gene of miR-369-3p and EGFEM1P promoted TCF4 expression via regulating miR-369-3p expression levels. At last, it was found that EGFEM1P expression promoted rapid cell proliferation and inhibited cell apoptosis in thyroid cancer cells via acting as a miR-369-3p sponge. In conclusion EGFEM1P promoted thyroid cancer progression via acting as a sponge of the miR-369-3p/TCF4 axis.

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TNIK influence the effects of antipsychotics on Wnt/β-catenin signaling pathway

Yuan

et al. 2021

Psychopharmacology

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T Cell Factor 4 Is Involved in Papillary Thyroid Carcinoma via Regulating Long Non-Coding RNA HCP5

Cited by 5 publications

References 35 publications

Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach

Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach

lncRNA EGFEM1P promotes thyroid cancer progression by acting as an miR‑369‑3p sponge and upregulating TCF4

TNIK influence the effects of antipsychotics on Wnt/β-catenin signaling pathway

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