ColoLipidGene: Signature of lipid metabolism-related genes to predict prognosis in stage-II colon cancer patients

Lipid metabolism plays an essential role in carcinogenesis due to the requirements of tumoral cells to sustain increased structural, energetic and biosynthetic precursor demands for cell proliferation. We investigated the association between expression of lipid metabolism-related genes and clinical...

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Detalles Bibliográficos
Autores: Vargas, Teodoro, Moreno-Rubio, Juan, Herranz Barrera, Jesús, Cejas, Paloma, Molina, Susana, González-Vallinas, Margarita, Mendiola, Marta, Burgos, Emilio, Aguayo, Cristina, Custodio, Ana B., Machado, Isidro, Ramos, David, Gironella, Meritxell, Espinosa-Salinas, Isabel, Ramos, Ricardo, Martín-Hernández, Roberto, Risueño, Alberto, Las Rivas, Javier de, Reglero Rada, Guillermo J., Yaya, Ricardo, Fernández-Martos, Carlos, Aparicio, Jorge, Maurel, Joan, Feliú Batlle, Jaime, Ramírez de Molina, Ana
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/671590
Acceso en línea:http://hdl.handle.net/10486/671590
https://dx.doi.org/10.18632/oncotarget.3130
Access Level:acceso abierto
Palabra clave:Colon cancer
Lipid metabolism
Biomarker
Prognosis
Medicina
Descripción
Sumario:Lipid metabolism plays an essential role in carcinogenesis due to the requirements of tumoral cells to sustain increased structural, energetic and biosynthetic precursor demands for cell proliferation. We investigated the association between expression of lipid metabolism-related genes and clinical outcome in intermediate-stage colon cancer patients with the aim of identifying a metabolic profile associated with greater malignancy and increased risk of relapse. Expression profile of 70 lipid metabolismrelated genes was determined in 77 patients with stage II colon cancer. Cox regression analyses using c-index methodology was applied to identify a metabolic-related signature associated to prognosis. The metabolic signature was further confirmed in two independent validation sets of 120 patients and additionally, in a group of 264 patients from a public database. The combined analysis of these 4 genes, ABCA1, ACSL1, AGPAT1 and SCD, constitutes a metabolic-signature (ColoLipidGene) able to accurately stratify stage II colon cancer patients with 5-fold higher risk of relapse with strong statistical power in the four independent groups of patients. The identification of a group of 4 genes that predict survival in intermediate-stage colon cancer patients allows delineation of a high-risk group that may benefit from adjuvant therapy, and avoids the toxic and unnecessary chemotherapy in patients classified as low-risk group