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CDH1 overexpression predicts bladder cancer from early stage and inversely correlates with immune infiltration.
Fan, Tao; Xue, Liang; Dong, Bingzheng; He, Houguang; Zhang, Wenda; Hao, Lin; Ma, Weiming; Zang, Guanghui; Han, Conghui; Dong, Yang.
Afiliación
  • Fan T; Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
  • Xue L; Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
  • Dong B; Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
  • He H; Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
  • Zhang W; Medical College of Soochow University, Soochow, China.
  • Hao L; Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
  • Ma W; Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
  • Zang G; Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
  • Han C; Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
  • Dong Y; Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
BMC Urol ; 22(1): 156, 2022 Sep 21.
Article en En | MEDLINE | ID: mdl-36131343
ABSTRACT

BACKGROUND:

Bladder cancer (BC) seriously endangers public health, but effective biomarkers for BC diagnosis, particularly in the early stage, are still lacking. Identification of reliable biomarkers associated with early-stage BC is of great importance to early treatment and an improved outcome.

METHODS:

Differentially expressed genes (DEGs) were identified using four publicly available early-stage BC gene-expression profiles. Protein-protein interaction (PPI) and survival analysis for hub genes was evaluated. The correlation between methylation of genes and prognosis was evaluated using the MethSurv database. Co-expressed genes were explored using Cancer Cell Line Encyclopedia database and the corresponding expression were assessed in vitro. The competing endogenous RNA network and the immune cell infiltration in BC were generated using data of The Cancer Genome Atlas.

RESULTS:

Ten hub genes of the 213 integrated DEGs were identified, including CDH1, IGFBP3, PPARG, SDC1, EPCAM, ACTA2, COL3A1, TPM1, ACTC1, and ACTN1. CDH1 appeared to increase from tumor initiation stage and negatively correlated with methylation. Six methylated sites in CDH1 indicated a good prognosis and one site indicated an aberrant prognosis. High CDH1 expression was negatively correlated with infiltrations by most immune cells, such as plasmacytoid dendritic cells (pDCs), regulatory T cells, macrophages, neutrophils, DCs, and natural killer cells. CDH1 was highly positively correlated with EPCAM and appeared to be directly regulated by miR-383.

CONCLUSIONS:

The identified oncogenic alterations provide theoretical support for the development of novel biomarkers to advance early-stage BC diagnosis and personalized therapy.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria / MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Urol Asunto de la revista: UROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria / MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Urol Asunto de la revista: UROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China