Your browser doesn't support javascript.
loading
A new bioinformatics approach identifies overexpression of GRB2 as a poor prognostic biomarker for prostate cancer.
Iwata, Teppei; Sedukhina, Anna S; Kubota, Manabu; Oonuma, Shigeko; Maeda, Ichiro; Yoshiike, Miki; Usuba, Wataru; Minagawa, Kimino; Hames, Eleina; Meguro, Rei; Cho, Sunny; Chien, Stephen H H; Urabe, Shiro; Pae, Sookhee; Palanisamy, Kishore; Kumai, Toshio; Yudo, Kazuo; Kikuchi, Eiji; Sato, Ko.
Afiliación
  • Iwata T; Department of Frontier Medicine, Institute of Medical Science, Graduate School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Sedukhina AS; Department of Urology, School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Kubota M; Department of Frontier Medicine, Institute of Medical Science, Graduate School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Oonuma S; Department of Pathology, School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Maeda I; Department of Pathology, School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Yoshiike M; Department of Pathology, Kitasato University Kitasato Institute Hospital, Minato, 1080072, Japan.
  • Usuba W; Department of Pathology, Kitasato University School of Medicine, Sagamihara, 2520374, Japan.
  • Minagawa K; Department of Urology, School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Hames E; Department of Urology, School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Meguro R; Department of Pharmacogenomics, Graduate School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Cho S; K International School Tokyo, Koto, 1350021, Japan.
  • Chien SHH; K International School Tokyo, Koto, 1350021, Japan.
  • Urabe S; K International School Tokyo, Koto, 1350021, Japan.
  • Pae S; K International School Tokyo, Koto, 1350021, Japan.
  • Palanisamy K; K International School Tokyo, Koto, 1350021, Japan.
  • Kumai T; K International School Tokyo, Koto, 1350021, Japan.
  • Yudo K; K International School Tokyo, Koto, 1350021, Japan.
  • Kikuchi E; Department of Pharmacogenomics, Graduate School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
  • Sato K; Department of Frontier Medicine, Institute of Medical Science, Graduate School of Medicine, St. Marianna University, Kawasaki, 2168511, Japan.
Sci Rep ; 11(1): 5696, 2021 03 11.
Article en En | MEDLINE | ID: mdl-33707553
A subset of prostate cancer displays a poor clinical outcome. Therefore, identifying this poor prognostic subset within clinically aggressive groups (defined as a Gleason score (GS) ≧8) and developing effective treatments are essential if we are to improve prostate cancer survival. Here, we performed a bioinformatics analysis of a TCGA dataset (GS ≧8) to identify pathways upregulated in a prostate cancer cohort with short survival. When conducting bioinformatics analyses, the definition of factors such as "overexpression" and "shorter survival" is vital, as poor definition may lead to mis-estimations. To eliminate this possibility, we defined an expression cutoff value using an algorithm calculated by a Cox regression model, and the hazard ratio for each gene was set so as to identify genes whose expression levels were associated with shorter survival. Next, genes associated with shorter survival were entered into pathway analysis to identify pathways that were altered in a shorter survival cohort. We identified pathways involving upregulation of GRB2. Overexpression of GRB2 was linked to shorter survival in the TCGA dataset, a finding validated by histological examination of biopsy samples taken from the patients for diagnostic purposes. Thus, GRB2 is a novel biomarker that predicts shorter survival of patients with aggressive prostate cancer (GS ≧8).
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Biomarcadores de Tumor / Biología Computacional / Proteína Adaptadora GRB2 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Biomarcadores de Tumor / Biología Computacional / Proteína Adaptadora GRB2 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido