A new bioinformatics approach identifies overexpression of GRB2 as a poor prognostic biomarker for prostate cancer

A new bioinformatics approach identifies overexpression of GRB2 as a poor prognostic biomarker for prostate cancer

Abstract 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...

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Auteurs principaux: Teppei Iwata, Anna S. Sedukhina, Manabu Kubota, Shigeko Oonuma, Ichiro Maeda, Miki Yoshiike, Wataru Usuba, Kimino Minagawa, Eleina Hames, Rei Meguro, Sunny Cho, Stephen H. H. Chien, Shiro Urabe, Sookhee Pae, Kishore Palanisamy, Toshio Kumai, Kazuo Yudo, Eiji Kikuchi, Ko Sato
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/57ba76a682034c09bcdb46e58c83ae0b
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https://doaj.org/article/57ba76a682034c09bcdb46e58c83ae0b

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