Cargando…
Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence
Endometrial cancer (EC) incidence and mortality continues to rise. Molecular profiling of EC promises improvement of risk assessment and treatment selection. However, we still lack robust and accurate models to predict those at risk of failing treatment. The objective of this pilot study is to creat...
Autores principales: | Gonzalez-Bosquet, Jesus, Gabrilovich, Sofia, McDonald, Megan E., Smith, Brian J., Leslie, Kimberly K., Bender, David D., Goodheart, Michael J., Devor, Eric |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785370/ https://www.ncbi.nlm.nih.gov/pubmed/36555654 http://dx.doi.org/10.3390/ijms232416014 |
Ejemplares similares
-
An integrated prediction model of recurrence in endometrial endometrioid cancers
por: Miller, Marina D, et al.
Publicado: (2019) -
Microbial Communities in Gynecological Cancers and Their Association with Tumor Somatic Variation
por: Gonzalez-Bosquet, Jesus, et al.
Publicado: (2023) -
The miR-503 cluster is coordinately under-expressed in endometrial endometrioid adenocarcinoma and targets many oncogenes, cell cycle genes, DNA repair genes and chemotherapy response genes
por: Devor, Eric J, et al.
Publicado: (2018) -
Investigating the effect of optimal cytoreduction in the context of platinum sensitivity in high‐grade serous ovarian cancer
por: Cardillo, Nicholas, et al.
Publicado: (2022) -
A Prediction Model for Preoperative Risk Assessment in Endometrial Cancer Utilizing Clinical and Molecular Variables
por: Salinas, Erin A., et al.
Publicado: (2019)