The study of an anoikis-related signature to predict glioma prognosis and immune infiltration.

Zhang, Dongdong; Wang, Yu; Zhou, Huandi; Han, Xuetao; Hou, Liubing; Lv, Zhongqiang; Xue, Xiaoying

Zhang, Dongdong; Wang, Yu; Zhou, Huandi; Han, Xuetao; Hou, Liubing; Lv, Zhongqiang; Xue, Xiaoying.

Afiliación

Zhang D; Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Wang Y; Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Zhou H; Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Han X; Department of Central Laboratory, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Hou L; Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Lv Z; Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Xue X; Department of Central Laboratory, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.

J Cancer Res Clin Oncol ; 149(14): 12659-12676, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37450027

Palabras clave

Anoikis-related genes; Glioma; Immune checkpoint; Immune microenvironment; Prognostic model

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Cancer Res Clin Oncol Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google