Ferroptosis-based molecular prognostic model for adrenocortical carcinoma based on least absolute shrinkage and selection operator regression.

Lin, Chen; Hu, Ruofei; Sun, FangFang; Liang, Weiwei

Lin, Chen; Hu, Ruofei; Sun, FangFang; Liang, Weiwei.

Afiliación

Lin C; Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hu R; Lifestyle Supporting Technologies Group, Technical University of Madrid, Madrid, Spain.
Sun F; Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, The Second Affiliated Hospital, Cancer Institute, Zhejiang University School of Medicine, Hangzhou, China.
Liang W; Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

J Clin Lab Anal ; 36(6): e24465, 2022 Jun.

Article en En | MEDLINE | ID: mdl-35500219

Asunto(s)

Neoplasias de la Corteza Suprarrenal; Carcinoma Corticosuprarrenal; Ferroptosis; Neoplasias de la Corteza Suprarrenal/genética; Carcinoma Corticosuprarrenal/genética; Ferroptosis/genética; Regulación Neoplásica de la Expresión Génica; Humanos; Pronóstico

Palabras clave

LASSO; adrenocortical carcinoma; ferroptosis; machine learning; prognosis model

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Corteza Suprarrenal / Carcinoma Corticosuprarrenal / Ferroptosis Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Clin Lab Anal Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2022 Tipo del documento: Article País de afiliación: China

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