Your browser doesn't support javascript.
loading
UBE2C: A pan-cancer diagnostic and prognostic biomarker revealed through bioinformatics analysis.
Jalali, Pooya; Samii, Amir; Rezaee, Malihe; Shahmoradi, Arvin; Pashizeh, Fatemeh; Salehi, Zahra.
Afiliación
  • Jalali P; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Centre, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Samii A; Department of Hematology and Blood Transfusion, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Rezaee M; Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Shahmoradi A; Department of Laboratory Medicine, Faculty of Paramedical, Kurdistan University of Medical Sciences, Sanandaj, Iran.
  • Pashizeh F; Department of Clinical Immunology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Salehi Z; Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Cancer Rep (Hoboken) ; 7(4): e2032, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38577722
ABSTRACT

BACKGROUND:

The diverse and complex attributes of cancer have made it a daunting challenge to overcome globally and remains to endanger human life. Detection of critical cancer-related gene alterations in solid tumor samples better defines patient diagnosis and prognosis, and indicates what targeted therapies must be administered to improve cancer patients' outcome. MATERIALS AND

METHODS:

To identify genes that have aberrant expression across different cancer types, differential expressed genes were detected within the TCGA datasets. Subsequently, the DEGs common to all pan cancers were determined. Furthermore, various methods were employed to gain genetic alterations, co-expression genes network and protein-protein interaction (PPI) network, pathway enrichment analysis of common genes. Finally, the gene regulatory network was constructed.

RESULTS:

Intersectional analysis identified UBE2C as a common DEG between all 28 types of studied cancers. Upregulated UBE2C expression was significantly correlated with OS and DFS of 10 and 9 types of cancer patients. Also, UBE2C can be a diagnostic factor in CESC, CHOL, GBM, and UCS with AUC = 100% and diagnose 19 cancer types with AUC ≥90%. A ceRNA network constructed including UBE2C, 41 TFs, 10 shared miRNAs, and 21 circRNAs and 128 lncRNAs.

CONCLUSION:

In summary, UBE2C can be a theranostic gene, which may serve as a reliable biomarker in diagnosing cancers, improving treatment responses and increasing the overall survival of cancer patients and can be a promising gene to be target by cancer drugs in the future.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Enzimas Ubiquitina-Conjugadoras / Neoplasias Límite: Humans Idioma: En Revista: Cancer Rep (Hoboken) Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Enzimas Ubiquitina-Conjugadoras / Neoplasias Límite: Humans Idioma: En Revista: Cancer Rep (Hoboken) Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos