We previously reported and revised the nasopharyngeal epithelium specific protein CCDC19 and identified it as a potential tumour suppressor in nasopharyngeal carcinoma. The purpose of this study was to investigate the involvement of CCDC19 in the pathogenesis of human non-small cell lung cancers (NSCLC). Down-regulated CCDC19 expression was observed in NSCLC tissues and cells compared to normal tissues. However, reduced protein expression did not correlate with the status of NSCLC progression. Instead, we observed that patients with lower CCDC19 expression had a shorter overall survival than did patients with higher CCDC19 expression. Lentiviral-mediated CCDC19 overexpression significantly suppressed cell proliferation and cell cycle transition from G1 to S and G2 phases in NSCLC cells. Knocking down CCDC19 expression significantly restored the ability of cell growth in CCDC19 overexpressing NSCLC cells. Mechanistically CCDC19 functions as a potential tumour suppressor by stimulating miR-184 suppression of C-Myc thus blocking cell growth mediated by the PI3K/AKT/C-Jun pathway. Our studies are the first to demonstrate that reduced expression of CCDC19 is an unfavourable factor in NSCLC.
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http://dx.doi.org/10.1111/jcmm.12317 | DOI Listing |
Asian Pac J Cancer Prev
December 2024
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Glioblastoma (GBM) is the most aggressive cancer in the central nervous system in glial cells. Finding novel biomarkers in GBM offers numerous advantages that can contribute to early detection, personalized treatment, improved patient outcomes, and advancements in cancer research and drug development. Integrating machine learning with RNAseq data in medicine holds significant potential for identifying novel biomarkers in various diseases, including cancer.
View Article and Find Full Text PDFXi Bao Yu Fen Zi Mian Yi Xue Za Zhi
November 2023
Otolaryngology department of First affiliated hospital, Bengbu Medical College, Bengbu 233030, China. *Corresponding author, E-mail:
Objective Machine learning was used to screen the key characteristic genes of nasopharyngeal carcinoma (NPC) and analyze their correlation with immune cells. Methods Download the NPC training datasets (GSE12452 and GSE13597) and the validation dataset (GSE53819) from the Gene Expression Omnibus (GEO). Firstly, the training data sets were merged and screened for differentially expressed genes (DEGs); Secondly, the DEGs were analyzed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA), and immune cell infiltration analysis.
View Article and Find Full Text PDFBiochem Biophys Res Commun
December 2018
Department of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China. Electronic address:
Bladder cancer (BCa) belongs to a popular urological malignancy and leads to large numbers of deaths worldwide. Recently, emerging evidences indicate that long noncoding RNAs (lncRNAs) are closely related with BC occurrence and progression. However, the function of lncRNA MAGI2-AS3 remains poorly understood in BC.
View Article and Find Full Text PDFInt J Clin Exp Pathol
February 2018
Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University Guangdong 510315, Guangzhou, China.
Aims: The chief aim of this study was to correlate expression of the nasopharyngeal epithelium protein (CCDC19) with clinicopathological characteristics and survival prognosis in lung squamous cancer patients.
Methods And Results: Using real-time PCR, we detected the mRNA expression of CCDC19 in lung squamous cell carcinoma tissues and lung tissue. CCDC19 mRNA expression was confirmed to be downregulated compared to normal lung tissues.
Clin Cancer Res
November 2015
Department of Medicine A, Hematology, and Oncology, University Hospital of Muenster, Muenster, Germany. Department of Medicine IV, Hematology and Oncology, State Center for Cell and Gene Therapy, University Hospital Halle, Halle (Saale), Germany.
Purpose: A low mutation rate seems to be a general feature of pediatric cancers, in particular in oncofusion gene-driven tumors. Genetically, Ewing sarcoma is defined by balanced chromosomal EWS/ETS translocations, which give rise to oncogenic chimeric proteins (EWS-ETS). Other contributing somatic mutations involved in disease development have only been observed at low frequency.
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