Prognostic significance of TCF21 mRNA expression in patients with lung adenocarcinoma

Xiao, Jian; Liu, Aibin; Lu, Xiaoxiao; Chen, Xi; Li, Wei; He, Shuya; He, Bixiu; Chen, Qiong

doi:10.1038/s41598-017-02290-2

Cited by 17 publications

(12 citation statements)

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“…It contains 120 million copies of genomic samples, ~90,000 tumor samples and as much as 17 million copies of genetic information. Additionally, the GCBI tool can be used to retrieve and analyze data from The National Center for Biotechnology Information ( 10 , 11 ). The gene expression profiles of GSE15641, which were obtained based on the platform of GPL96, Affymetrix Human Genome U133A Array, were screened on GCBI to conduct the subsequent analysis.…”

Section: Methodsmentioning

confidence: 99%

Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma

et al. 2018

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Clear cell renal cell carcinoma (ccRCC) is the most common type of kidney cancer. The present study was conducted to explore the mechanisms and identify the potential target genes for ccRCC using bioinformatics analysis. The microarray data of GSE15641 were screened on Gene-Cloud of Biotechnology Information (GCBI). A total of 32 ccRCC samples and 23 normal kidney samples were used to identify differentially expressed genes (DEGs) between them. Subsequently, the clustering analysis and functional enrichment analysis of these DEGs were performed, followed by protein-protein interaction (PPI) network, and pathway relation network. Additionally, the most significant module based on PPI network was selected, and the genes in the module were identified as hub genes. Furthermore, transcriptional level, translational level and survival analyses of hub genes were performed to verify the results. A total of 805 genes, 403 upregulated and 402 downregulated, were differentially expressed in ccRCC samples compared with normal controls. The subsequent bioinformatics analysis indicated that the small molecule metabolic process and the metabolic pathway were significantly enriched. A total of 7 genes, including membrane metallo-endopeptidase (MME), albumin (ALB), cadherin 1 (CDH1), prominin 1 (ROM1), chemokine (C-X-C motif) ligand 12 (CXCL12), protein tyrosine phosphatase receptor type C (PTPRC) and intercellular adhesion molecule 1 (ICAM1) were identified as hub genes. In brief, the present study indicated that these candidate genes and pathways may aid in deciphering the molecular mechanisms underlying the development of ccRCC, and may be used as therapeutic targets and diagnostic biomarkers of ccRCC.

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Section: Methodsmentioning

confidence: 99%

Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma

et al. 2018

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“… 24 , 26 TCF21 may thus serve as an excellent diagnostic or prognostic biomarker predicting poor outcome, as demonstrated in gastric cancer, 25 melanoma, 29 colorectal cancer, 39 and lung cancer cases. 38 , 40 Aberrant methylation of TCF21 can be detected not only in solid cancer tissues but also in sputum and urine samples from cancer patients. 17 , 24 Aberrant TCF21 methylation has been demonstrated in cancer cell lines, animal models, and clinical tissues and biological fluids, indicating its potential value as a noninvasive marker for cancer detection; however, the detection of TCF21 is still far from suitable for clinical applications.…”

Section: Regulation Of Tcf21 Expressionmentioning

confidence: 99%

Multiple biological functions of transcription factor 21 in the development of various cancers

Jiang¹,

Yang²

2018

OTT

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Transcription factor 21 (TCF21) is a basic helix–loop–helix transcription factor that binds to DNA and regulates cell differentiation and cell fate specification through mesenchymal–epithelial transition during development. The TCF21 gene is epigenetically inactivated in many types of human cancers and exerts a wide variety of functions, including the regulation of epithelial–mesenchymal transition, invasion, metastasis, cell cycle, and autophagy. This review focuses on research progress in relation to the roles of TCF21 in tumor development. We systematically consider multiple pathological functions of TCF21 in various cancers, revealing the molecular bases of its diverse biological roles and providing new directions for future research.

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“…Recently, studies concerning cancer biomarkers have been massively reported for its clinical role in the early diagnosis and prognosis of various cancers (23)(24)(25), including lung adenocarcinoma (26,27). As known, the majority of lung adenocarcinoma cancer-related death frequently occurred at an early stage.…”

Section: Discussionmentioning

confidence: 99%

Aberrant Expression of SCARA5 in Lung Adenocarcinoma and its Clinical Significance

Yu¹,

Gong²,

Fu³

et al. 2020

Preprint

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BackgroundLung adenocarcinoma, the main subtype of non-small cell lung cancer, leading one of the most aggressive and fatal causes of malignant deaths around the world. Scavenger receptor class A member 5 (SCARA5), a newly discovered tumor suppressor gene, belonged to the SR family. The present study’s object was to explore the clinical impacts of SCARA5 in lung adenocarcinoma treatment. MethodsSCARA5 expressions in 120 paired lung adenocarcinoma patients’ tissues and cell lines were detected by real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). CCK-8, EdU, flow cytometry, and western blot assays further demonstrated the significance of SCARA5 on A549 cell growth. Then, the relationships between the expression level of SCARA5 and pathological factors were analyzed. Finally, the receiver operating characteristic (ROC) curve and overall survival analysis was carried out to verify the diagnostic and prognostic significance of SCARA5 in lung adenocarcinoma. ResultsSCARA5 was prominently decreased in lung adenocarcinoma cells and tissues compared with human bronchial epithelial cells and para-carcinoma non-tumor tissues. Meanwhile, SCARA5 expression was strongly correlated with smoking (P = 0.0011), TNM stage (P < 0.0001) and lymph node metastasis (P = 0.0005). Furthermore, SCARA5 may be a crucial biomarker for lung adenocarcinoma diagnosis with an area under the curve (AUC) of 0.9102 while SCARA5 could significantly reduce overall survival (OS; P = 0.0006). In vitro experiments, we found that SCARA5 overexpressing could significantly hinder A549 cell proliferation but facilitate apoptosis through the AKT signaling pathway. ConclusionsSCARA5 might be an important diagnostic and prognostic biomarker for patients with lung adenocarcinoma.

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Prognostic significance of TCF21 mRNA expression in patients with lung adenocarcinoma

Cited by 17 publications

References 50 publications

Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma

Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma

Multiple biological functions of transcription factor 21 in the development of various cancers

Aberrant Expression of SCARA5 in Lung Adenocarcinoma and its Clinical Significance

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