Cargando…
Metabolic profiles to predict long-term cancer and mortality: the use of latent class analysis
BACKGROUND: Metabolites are genetically and environmentally determined. Consequently, they can be used to characterize environmental exposures and reveal biochemical mechanisms that link exposure to disease. To explore disease susceptibility and improve population risk stratification, we aimed to id...
Autores principales: | Santaolalla, Aida, Garmo, Hans, Grigoriadis, Anita, Ghuman, Sundeep, Hammar, Niklas, Jungner, Ingmar, Walldius, Göran, Lambe, Mats, Holmberg, Lars, Van Hemelrijck, Mieke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651931/ https://www.ncbi.nlm.nih.gov/pubmed/31337337 http://dx.doi.org/10.1186/s12860-019-0210-7 |
Ejemplares similares
-
Serum inflammatory markers and colorectal cancer risk and survival
por: Ghuman, Sundeep, et al.
Publicado: (2017) -
Glucose and lipoprotein biomarkers and breast cancer severity using data from the Swedish AMORIS cohort
por: Melvin, Jennifer C, et al.
Publicado: (2017) -
Serum calcium and risk of gastrointestinal cancer in the Swedish AMORIS study
por: Wulaningsih, Wahyu, et al.
Publicado: (2013) -
Serum lactate dehydrogenase and survival following cancer diagnosis
por: Wulaningsih, Wahyu, et al.
Publicado: (2015) -
Circulating uric acid levels and subsequent development of cancer in 493,281 individuals: findings from the AMORIS Study
por: Yiu, Andrew, et al.
Publicado: (2017)