McMaster University Reports Findings in Gliomas (Functional profiling of murine glioma models highlights targetable immune evasion phenotypes)

麦克马斯特大学报告胶质瘤的发现（鼠胶质瘤模型的功能特征突出了靶向免疫逃避表型）

Robotics & Machine Learning Daily News2024，Issue(Dec.5) ：77-77.

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McMaster University Reports Findings in Gliomas (Functional profiling of murine glioma models highlights targetable immune evasion phenotypes)

麦克马斯特大学报告胶质瘤的发现（鼠胶质瘤模型的功能特征突出了靶向免疫逃避表型）

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-肿瘤学的新研究-胶质瘤是一篇报道的主题。据新闻报道NEWSRX记者从加拿大汉密尔顿报道，研究称，“癌症固有免疫”逃避机制和多效性是肿瘤免疫治疗的障碍。这在certai n很明显高致死性癌症，包括高级别胶质瘤和胶质母细胞瘤(GBM)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Gliomas is the subject of a report. According to newsreporting from Hamilton, Canada, by N ewsRx journalists, research stated, “Cancer-intrinsic immuneevasion mechanisms and pleiotropy are a barrier to cancer immunotherapy. This is apparent in certai nhighly fatal cancers, including high-grade gliomas and glioblastomas (GBM).”

Key words

Hamilton/Canada/North and Central Amer ica/Cancer/Cyborgs/Emerging Technologies/Gliomas/Health and Medicine/Machi ne Learning/Oncology

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出版年

2024

Robotics & Machine Learning Daily News

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