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Identification of hub genes in bladder cancer based on weighted gene co-expression network analysis from TCGA database.
Wang, Lei; Liu, Xudong; Yue, Miao; Liu, Zhe; Zhang, Yu; Ma, Ying; Luo, Jia; Li, Wuling; Bai, Jiangshan; Yao, Hongmei; Chen, Yuxuan; Li, Xiaofeng; Feng, Dayun; Song, Xinqiang.
Afiliação
  • Wang L; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Liu X; College of Life Medicine, Xinyang Normal University, Xinyang, China.
  • Yue M; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Liu Z; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Zhang Y; Department of Computer Science, City University of Hong Kong, Hong Kong, China.
  • Ma Y; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Luo J; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Li W; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Bai J; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Yao H; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Chen Y; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Li X; Department of Recovery Medicine, People's Liberation Army 990 Hospital, Xinyang, China.
  • Feng D; Department of Pathology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Song X; Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Cancer Rep (Hoboken) ; 5(9): e1557, 2022 09.
Article em En | MEDLINE | ID: mdl-34541834
ABSTRACT

BACKGROUND:

Muscular invasive bladder cancer (MIBC) is a common malignant tumor in the world. Because of their heterogeneity in prognosis and response to treatment, biomarkers that can predict survival or help make treatment decisions in patients with MIBC are essential for individualized treatment.

AIM:

We aimed to integrate bioinformatics research methods to identify a set of effective biomarkers capable of predicting, diagnosing, and treating MIBC. To provide a new theoretical basis for the diagnosis and treatment of bladder cancer. METHODS AND

RESULTS:

Gene expression profiles and clinical data of MIBC were obtained by downloading from the Cancer Genome Atlas database. A dataset of 129 MIBC cases and controls was included. 2084 up-regulated genes and 2961 down-regulated genes were identified by differentially expressed gene (DEG) analysis. Then, gene ontology analysis was performed to explore the biological functions of DEGs, respectively. The up-regulated DEGs are mainly enriched in epidermal cell differentiation, mitotic nuclear division, and so forth. They are also involved in the cell cycle, p53 signaling pathway, PPAR signaling pathway, and so forth. The weighted gene co-expression network analysis yielded five modules related to pathological stages and grading, of which blue and turquoise were the most relevant modules for MIBC. Next, Using Kaplan-Meier survival analysis to identify further hub genes, the screening criteria at p ≤ .05, we found CNKSR1, HIP1R, CFL2, TPM1, CSRP1, SYNM, POPDC2, PJA2, and RBBP8NL genes associated with the progression and prognosis of MIBC patients. Finally, immunohistochemistry experiments further confirmed that CNKSR1 plays a vital role in the tumorigenic context of MIBC.

CONCLUSION:

The research suggests that CNKSR1, POPDC2, and PJA2 may be novel biomarkers as therapeutic targets for MIBC, especially we used immunohistochemical further to validate CNKSR1 as a therapeutic target for MIBC which may help to improve the prognosis for MIBC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Cancer Rep (Hoboken) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Cancer Rep (Hoboken) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China