Cargando…
Identification of MAD2L1 as a Potential Biomarker in Hepatocellular Carcinoma via Comprehensive Bioinformatics Analysis
BACKGROUND: Hepatocellular carcinoma (HCC) is widely acknowledged as a malignant tumor with rapid progression, high recurrence rate, and poor prognosis. At present, there is a paucity of reliable biomarkers at the clinical level to guide the management of HCC and improve patient outcomes. Our resear...
Autores principales: | Chen, Qian, Yang, Sibo, Zhang, Yewei, Li, Bo, Xu, Huanming, Zuo, Shi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817109/ https://www.ncbi.nlm.nih.gov/pubmed/35132379 http://dx.doi.org/10.1155/2022/9868022 |
Ejemplares similares
-
Identification of SLITRK6 as a Novel Biomarker in hepatocellular carcinoma by comprehensive bioinformatic analysis
por: Liu, Xudong, et al.
Publicado: (2021) -
Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis
por: Li, Lin, et al.
Publicado: (2017) -
Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods
por: Zhang, Lingyan, et al.
Publicado: (2013) -
Identification of key snoRNAs serves as biomarkers for hepatocellular carcinoma by bioinformatics methods
por: Xie, Qingqing, et al.
Publicado: (2022) -
Bioinformatics prediction and experimental verification identify MAD2L1 and CCNB2 as diagnostic biomarkers of rhabdomyosarcoma
por: Xia, Tian, et al.
Publicado: (2021)