Application of Immune Infiltration Signature and Machine Learning Model in the Differential Diagnosis and Prognosis of Bone-Related Malignancies

Application of Immune Infiltration Signature and Machine Learning Model in the Differential Diagnosis and Prognosis of Bone-Related Malignancies

Bone-related malignancies, such as osteosarcoma, Ewing’s sarcoma, multiple myeloma, and cancer bone metastases have similar histological context, but they are distinct in origin and biological behavior. We hypothesize that a distinct immune infiltrative microenvironment exists in these four most com...

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Bibliographic Details
Main Authors: Guo-Qi Li, Yi-Kai Wang, Hao Zhou, Lin-Guang Jin, Chun-Yu Wang, Mugahed Albahde, Yan Wu, Heng-Yuan Li, Wen-Kan Zhang, Bing-Hao Li, Zhao-Ming Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
osteosarcoma
Ewing’s sarcoma
multiple myeloma
bone metastases
immune microenvironment
ssGSEA
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.630355/full

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https://www.frontiersin.org/articles/10.3389/fcell.2021.630355/full

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