使用机器学习计算框架为804例胰腺癌患者确定一种可靠的预后生物标志物。 - Suppr

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超能文献

Determining a robust prognostic biomarker for 804 patients with pancreatic cancer using a machine learning computational framework.

作者信息

Yuan Qihang, Sun Jiaao, Hong Zhijun, Shang Dong

机构信息

First Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China.

出版信息

Int J Surg. 2025 Jan 1;111(1):1561-1563. doi: 10.1097/JS9.0000000000002016.

DOI:10.1097/JS9.0000000000002016

PMID:39166940

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11745771/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0602/11745771/065f24b1198f/js9-111-1561-g001.jpg

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本文引用的文献

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Integrated single-cell and bulk RNA sequencing revealed the molecular characteristics and prognostic roles of neutrophils in pancreatic cancer.整合单细胞和批量RNA测序揭示了中性粒细胞在胰腺癌中的分子特征和预后作用。

Aging (Albany NY). 2023 Sep 19;15(18):9718-9742. doi: 10.18632/aging.205044.

Inflammatory biomarkers and nanotechnology: new insights in pancreatic cancer early detection.炎症生物标志物与纳米技术：胰腺癌早期检测的新视角。

Int J Surg. 2023 Oct 1;109(10):2934-2940. doi: 10.1097/JS9.0000000000000558.

Pancreatic Cancer: Changing Epidemiology and New Approaches to Risk Assessment, Early Detection, and Prevention.胰腺癌：流行病学变化及风险评估、早期检测和预防的新方法。

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Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma.单细胞 RNA 测序凸显胰腺导管腺癌肿瘤内异质性和恶性演进。

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