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Updated: Jun 18, 2026

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在未知原始起源的癌症中预测瘤起源,使用基于细胞学的深度学习

Fei Tian1, Dong Liu2, Na Wei3

  • 1Department of Abdominal Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.

Nature medicine
|April 16, 2024
PubMed
概括

一种新的深度学习方法,TORCH,准确地识别出液中的癌症来源. 这种工具有助于诊断,并改善患者的生存率,当治疗与预测的起源保持一致时.

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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...