Analysis of the characteristics of immune infiltration in endometrial carcinoma and its relationship with prognosis based on bioinformatics.

Lin, Yao; Liu, Songyi; Lin, Chunlin; Lin, Penghang; Teng, Zuhong; Zhu, Guangwei

Lin, Yao; Liu, Songyi; Lin, Chunlin; Lin, Penghang; Teng, Zuhong; Zhu, Guangwei.

Afiliação

Lin Y; Department of Obstetrics and Gynecology, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Liu S; Department of Gastrointestinal Surgery 2 Section, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Lin C; Department of Gastrointestinal Surgery 2 Section, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Lin P; Department of Gastrointestinal Surgery 2 Section, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Teng Z; Department of Gastrointestinal Surgery 2 Section, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Zhu G; Department of Gastrointestinal Surgery 2 Section, The First Hospital Affiliated to Fujian Medical University, Fuzhou, China.

Medicine (Baltimore) ; 102(25): e34156, 2023 Jun 23.

Article em En | MEDLINE | ID: mdl-37352032

Assuntos

Neoplasias do Endométrio; Humanos; Feminino; Neoplasias do Endométrio/genética; Mapeamento Cromossômico; Prognóstico; Biologia Computacional; Mineração de Dados

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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