Comprehensive analysis of alternative splicing across multiple transcriptomic cohorts reveals prognostic signatures in prostate cancer.

Mou, Zhuofan; Spencer, Jack; McGrath, John S; Harries, Lorna W

Mou, Zhuofan; Spencer, Jack; McGrath, John S; Harries, Lorna W.

Afiliação

Mou Z; Clinical and Biomedical Sciences, Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, University of Exeter, Barrack Road, Exeter, EX2 5DW, UK.
Spencer J; Translational Research Exchange at Exeter, Living Systems Institute, University of Exeter, Exeter, UK.
McGrath JS; Clinical and Biomedical Sciences, Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, University of Exeter, Barrack Road, Exeter, EX2 5DW, UK.
Harries LW; Royal Devon University Healthcare NHS Foundation Trust, Barrack Road, Exeter, EX2 5DW, UK.

Hum Genomics ; 17(1): 97, 2023 Nov 03.

Article em En | MEDLINE | ID: mdl-37924098

Assuntos

Neoplasias da Próstata; Transcriptoma; Masculino; Humanos; Prognóstico; Transcriptoma/genética; Processamento Alternativo/genética; Biomarcadores Tumorais/genética; Neoplasias da Próstata/genética; Neoplasias da Próstata/diagnóstico; Neoplasias da Próstata/patologia; Proteínas de Membrana/genética; Proteínas de Neoplasias/genética

Palavras-chave

Alternative splicing; Microarray; Prognosis; Prostate cancer; RNA-seq

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Transcriptoma Limite: Humans / Male Idioma: En Revista: Hum Genomics Assunto da revista: GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Reino Unido

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