Cargando…
Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning
SIMPLE SUMMARY: Using a visual-based clustering method on the TCGA RNA sequencing data of a large adrenocortical carcinoma (ACC) cohort, we were able to classify these tumors in two distinct clusters largely overlapping with previously identified ones. As previously shown, the identified clusters al...
Autores principales: | Marquardt, André, Landwehr, Laura-Sophie, Ronchi, Cristina L., di Dalmazi, Guido, Riester, Anna, Kollmannsberger, Philip, Altieri, Barbara, Fassnacht, Martin, Sbiera, Silviu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469239/ https://www.ncbi.nlm.nih.gov/pubmed/34572898 http://dx.doi.org/10.3390/cancers13184671 |
Ejemplares similares
-
Interplay between glucocorticoids and tumor-infiltrating lymphocytes on the prognosis of adrenocortical carcinoma
por: Landwehr, Laura-Sophie, et al.
Publicado: (2020) -
Epithelial and Mesenchymal Markers in Adrenocortical Tissues: How Mesenchymal Are Adrenocortical Tissues?
por: Sbiera, Iuliu, et al.
Publicado: (2021) -
FGF/FGFR signaling in adrenocortical development and tumorigenesis: novel potential therapeutic targets in adrenocortical carcinoma
por: Tamburello, Mariangela, et al.
Publicado: (2022) -
MicroRNAs and Long Non-Coding RNAs in Adrenocortical Carcinoma
por: Detomas, Mario, et al.
Publicado: (2022) -
Role of FGF Receptors and Their Pathways in Adrenocortical Tumors and Possible Therapeutic Implications
por: Sbiera, Iuliu, et al.
Publicado: (2021)