Cargando…
Deciphering the Molecular Profile of Lung Cancer: New Strategies for the Early Detection and Prognostic Stratification
Recent advances in radiological imaging and genomic analysis are profoundly changing the way to manage lung cancer patients. Screening programs which couple lung cancer risk prediction models and low-dose computed tomography (LDCT) recently showed their effectiveness in the early diagnosis of lung t...
Autores principales: | Dama, Elisa, Melocchi, Valentina, Colangelo, Tommaso, Cuttano, Roberto, Bianchi, Fabrizio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352200/ https://www.ncbi.nlm.nih.gov/pubmed/30658453 http://dx.doi.org/10.3390/jcm8010108 |
Ejemplares similares
-
Non-Coding RNAs as Prognostic Biomarkers: A miRNA Signature Specific for Aggressive Early-Stage Lung Adenocarcinomas
por: Dama, Elisa, et al.
Publicado: (2020) -
miRNome profiling of lung cancer metastases revealed a key role for miRNA-PD-L1 axis in the modulation of chemotherapy response
por: Cuttano, Roberto, et al.
Publicado: (2022) -
Extracellular vesicle microRNAs contribute to Notch signaling pathway in T-cell acute lymphoblastic leukemia
por: Colangelo, Tommaso, et al.
Publicado: (2022) -
Biomarkers and Lung Cancer Early Detection: State of the Art
por: Dama, Elisa, et al.
Publicado: (2021) -
Integrated molecular profiling of patient‐derived ovarian cancer models identifies clinically relevant signatures and tumor vulnerabilities
por: Lupia, Michela, et al.
Publicado: (2022)