A transient receptor potential channel-related model based on machine learning for evaluating tumor microenvironment and immunotherapeutic strategies in acute myeloid leukemia.

Hua, Jingsheng; Ding, Tianling; Shao, Yanping

Hua, Jingsheng; Ding, Tianling; Shao, Yanping.

Afiliação

Hua J; Department of Hematology, Taizhou Municipal Hospital, Taizhou, China.
Ding T; Department of Hematology, Huashan Hospital, Fudan University, Shanghai, China.
Shao Y; Department of Hematology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, China.

Front Immunol ; 13: 1040661, 2022.

Article em En | MEDLINE | ID: mdl-36591215

Assuntos

Leucemia Mieloide Aguda; Microambiente Tumoral; Humanos; Microambiente Tumoral/genética; Genes Reguladores; Leucemia Mieloide Aguda/diagnóstico; Leucemia Mieloide Aguda/genética; Leucemia Mieloide Aguda/terapia; Receptores de Antígenos de Linfócitos T gama-delta; Fatores de Transcrição; Aprendizado de Máquina; Imunoterapia

Palavras-chave

TRP; acute myeloid leukemia; machine learning; schip1; signature

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Microambiente Tumoral Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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