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一个人口层面的计算组织学签名,用于侵袭性乳腺癌预后

Mohamed Amgad¹, James Hodge², Maha Elsebaie³

¹Department of Pathology, Northwestern University, Chicago, IL, USA.

Research square

|June 9, 2023

概括

一个新的深度学习工具 - - 基因组预测签名 (HiPS) - - 分析乳腺瘤微环境形态,以预测存活率. 在预后方面,HiPS优于病理学家,为乳腺癌研究提供了有价值的生物标志物.

科学领域:

在瘤学瘤学.
计算病理学计算病理学
生物标志物发现发现

背景情况:

乳腺癌表现出可变的生存结果,需要改进的预后工具,超越像诺丁汉标准这样的定性评估.
瘤微环境 (TME) 显著影响乳腺癌的进展,但其形态特征尚未完全用于预后.

结论:

基因组预后签名 (HiPS) 是一个强有力的验证计算生物标志物用于乳腺癌预后.
HiPS有可能增强病理学家的能力,从而更精确地预测存活率和改善患者管理.
这种方法强调了TME形态在异质乳腺癌的预后意义.

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