Cargando…
Bioinformatics Analysis of LGR4 in Colon Adenocarcinoma as Potential Diagnostic Biomarker, Therapeutic Target and Promoting Immune Cell Infiltration
Colon adenocarcinoma is one of the tumors with the highest mortality rate, and tumorigenesis or development of colon adenocarcinoma is the major reason leading to patient death. However, the molecular mechanism and biomarker to predict tumor progression are currently unclear. With the goal of unders...
Autores principales: | Wu, Lijuan, Tian, Xiaoxiao, Du, Hao, Liu, Xiaomin, Wu, Haigang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406187/ https://www.ncbi.nlm.nih.gov/pubmed/36008975 http://dx.doi.org/10.3390/biom12081081 |
Ejemplares similares
-
Predicting diagnostic biomarkers associated with immune infiltration in Crohn's disease based on machine learning and bioinformatics
por: Bao, Wenhui, et al.
Publicado: (2023) -
Bioinformatics analysis of immune cell infiltration patterns and potential diagnostic markers in atherosclerosis
por: Ji, Haigang, et al.
Publicado: (2023) -
Identification of LGR4 as a prognostic biomarker in KRAS-mutant lung adenocarcinoma: Evidence from integrated bioinformatics analysis
por: Dodin, Yasmeen
Publicado: (2023) -
Prognostic value of tumor immune cell infiltration patterns in colon adenocarcinoma based on systematic bioinformatics analysis
por: Xu, Hao, et al.
Publicado: (2021) -
Identifying Immune Cell Infiltration and Effective Diagnostic Biomarkers in Lung Adenocarcinoma by Comprehensive Bioinformatics Analysis and In Vitro Study
por: Li, Xinyan, et al.
Publicado: (2022)