Cargando…
Identify AGAP2 as prognostic biomarker in clear cell renal cell carcinoma based on bioinformatics and IHC staining
BACKGROUND: Arf GTPase-activating proteins are aberrantly expressed in a variety of tumors, but their role in clear cell renal cell carcinoma (ccRCC) was unclear. Exploring the biological role of Arf GAP with GTP binding protein like domain, Ankyrin repeat and PH domain 2 (AGAP2) in ccRCC could impr...
Autores principales: | Xu, Zekun, Wang, Yuxuan, Xu, Jiangnan, Ang, Xiaojie, Ge, Nianxin, Xu, Min, Pei, Changsong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947311/ https://www.ncbi.nlm.nih.gov/pubmed/36846683 http://dx.doi.org/10.1016/j.heliyon.2023.e13543 |
Ejemplares similares
-
Immunohistochemistry (IHC) staining of in-vitro cancer cell-generated tumoroids
por: Amereh, Meitham, et al.
Publicado: (2023) -
AGAP2-AS1 as a prognostic biomarker in low-risk clear cell renal cell carcinoma patients with progressing disease
por: Nakken, Sigrid, et al.
Publicado: (2021) -
Automated sequential chromogenic IHC double staining with two HRP substrates
por: Petersen, Kenneth Heesche, et al.
Publicado: (2018) -
Predicting IHC staining classes of NF1 using features in the hematoxylin channel
por: Zhang, Wei, et al.
Publicado: (2023) -
Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images
por: Liu, Yiqing, et al.
Publicado: (2020)