PODNL1, a member of the small leucine-rich proteoglycans family, has been identified to be closely associated with the prognosis of ovarian cancer and glioma. In this study, we explored the role of PODNL1 in the progression of bladder cancer (BLCA). TCGA data analysis showed that the expression level of PODNL1 in BLCA tissues was significantly higher than that in adjacent tissues. The high expression of PODNL1 was related to T stage, N stage, pathological stage, pathological grade and histological type of BLCA. The results of qPCR further confirmed that the expression of PODNL1 in BLCA cell lines was significantly higher than that in normal bladder epithelial cells (SV-HUC-1). In addition, PODNL1 knockdown decreased the proliferation and migration abilities of BLCA cells, while PODNL1 overexpression promoted the proliferation and migration abilities of BLCA cells. WGCNA and functional enrichment analysis showed that PODNL1 expression was closely related to the epithelial mesenchymal transformation (EMT) pathway of BLCA. Furthermore, GSCA database analysis also showed that high expression of PODNL1 activated the EMT pathway of BLCA. The results of qPCR indicated that PODNL1 gene expression level was negatively correlated with e-cadherin expression, and positively correlated with N-cadherin expression. Thus, these results suggest that PODNL1 regulates EMT process. Additionally, high expression of PODNL1 was closely associated with poor prognosis in BLCA patients. In conclusion, PODNL1 is a potential therapeutic target and prognostic biomarker of BLCA.
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http://dx.doi.org/10.1016/j.bbrc.2022.06.094 | DOI Listing |
Curr Issues Mol Biol
July 2023
Cancer Biology Research Center, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
The podocan-like protein 1 (PODNL1), an important member of the small leucine-rich proteoglycans (SLRP) family, is a crucial component of the tumor microenvironment (TME). But its prognostic values and the role in the TME have not been systematically estimated in a pan-cancer setting. Targeting , a systematic exploration into the TCGA datasets, reconciling with the analyses of single-cell transcriptomes and immunotherapeutic cohorts in cancers, and validation by tissue microarray-based multiplex immunofluorescence staining was performed.
View Article and Find Full Text PDFChin Med J (Engl)
December 2023
Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Background: High-grade serous ovarian cancer (HGSOC) is the biggest cause of gynecological cancer-related mortality because of its extremely metastatic nature. This study aimed to explore and evaluate the characteristics of candidate factors associated with the metastasis and progression of HGSOC.
Methods: Transcriptomic data of HGSOC patients' samples collected from primary tumors and matched omental metastatic tumors were obtained from three independent studies in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database.
Biochem Biophys Res Commun
September 2022
Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. Electronic address:
PODNL1, a member of the small leucine-rich proteoglycans family, has been identified to be closely associated with the prognosis of ovarian cancer and glioma. In this study, we explored the role of PODNL1 in the progression of bladder cancer (BLCA). TCGA data analysis showed that the expression level of PODNL1 in BLCA tissues was significantly higher than that in adjacent tissues.
View Article and Find Full Text PDFInt J Mol Sci
November 2021
Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Randwick, NSW 2031, Australia.
Lower-grade glioma (LGG) is a diffuse infiltrative tumor of the central nervous system, which lacks targeted therapy. We investigated the role of () methylation in LGG clinical outcomes using the TCGA-LGG transcriptomics dataset. We identified four CpG sites, cg07425555, cg26969888, cg18547299, and cg24354933, which were associated with unfavorable overall survival (OS) and disease-free survival (DFS) in univariate and multivariate analysis after adjusting for age, gender, tumor-grade, and -mutation.
View Article and Find Full Text PDFNAR Cancer
June 2021
Centro de Oncologia Molecular, Hospital Sirio-Libanes, Sao Paulo, SP 01308-060, Brazil.
Nowadays, the massive amount of data generated by modern sequencing technologies provides an unprecedented opportunity to find genes associated with cancer patient prognosis, connecting basic and translational research. However, treating high dimensionality of gene expression data and integrating it with clinical variables are major challenges to perform these analyses. Here, we present Reboot, an integrative approach to find and validate genes and transcripts (splicing isoforms) associated with cancer patient prognosis from high dimensional expression datasets.
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