Cargando…
Breast cancer biological subtypes and protein expression predict for the preferential distant metastasis sites: a nationwide cohort study
INTRODUCTION: Some molecular subtypes of breast cancer have preferential sites of distant relapse. The protein expression pattern of the primary tumor may influence the first distant metastasis site. METHODS: We identified from the files of the Finnish Cancer Registry patients diagnosed with breast...
Autores principales: | Sihto, Harri, Lundin, Johan, Lundin, Mikael, Lehtimäki, Tiina, Ristimäki, Ari, Holli, Kaija, Sailas, Liisa, Kataja, Vesa, Turpeenniemi-Hujanen, Taina, Isola, Jorma, Heikkilä, Päivi, Joensuu, Heikki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262199/ https://www.ncbi.nlm.nih.gov/pubmed/21914172 http://dx.doi.org/10.1186/bcr2944 |
Ejemplares similares
-
Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer
por: Konsti, Juho, et al.
Publicado: (2011) -
Long-term prognosis of breast cancer detected by mammography screening or other methods
por: Lehtimäki, Tiina, et al.
Publicado: (2011) -
Biological subtyping of early breast cancer: a study comparing RT-qPCR with immunohistochemistry
por: Wirtz, Ralph M., et al.
Publicado: (2016) -
Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
por: Bychkov, Dmitrii, et al.
Publicado: (2021) -
Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
por: Bychkov, Dmitrii, et al.
Publicado: (2022)