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宫颈癌中的神经周围浸润:转移的隐匿途径

Perineural Invasion in Cervical Cancer: A Hidden Trail for Metastasis.

作者信息

Chen Guoqiang, Sun Hao, Chen Yunxia, Wang Li, Song Ouyi, Zhang Jili, Li Dazhi, Liu Xiaojun, Feng Lixia

机构信息

Department of Obstetrics and Gynecology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.

Department of Gynecology, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China.

出版信息

Diagnostics (Basel). 2024 Jul 14;14(14):1517. doi: 10.3390/diagnostics14141517.

DOI:10.3390/diagnostics14141517
PMID:39061654
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11275432/
Abstract

Perineural invasion (PNI), the neoplastic invasion of nerves, is an often overlooked pathological phenomenon in cervical cancer that is associated with poor clinical outcomes. The occurrence of PNI in cervical cancer patients has limited the promotion of Type C1 surgery. Preoperative prediction of the PNI can help identify suitable patients for Type C1 surgery. However, there is a lack of appropriate preoperative diagnostic methods for PNI, and its pathogenesis remains largely unknown. Here, we dissect the neural innervation of the cervix, analyze the molecular mechanisms underlying the occurrence of PNI, and explore suitable preoperative diagnostic methods for PNI to advance the identification and treatment of this ominous cancer phenotype.

摘要

神经周围浸润(PNI),即肿瘤对神经的浸润,是宫颈癌中一种常被忽视的病理现象,与不良临床预后相关。宫颈癌患者中PNI的发生限制了C1型手术的推广。术前预测PNI有助于识别适合C1型手术的患者。然而,目前缺乏针对PNI的合适术前诊断方法,其发病机制也 largely未知。在此,我们剖析子宫颈的神经支配,分析PNI发生的分子机制,并探索适合PNI的术前诊断方法,以推进对这种不祥癌症表型的识别和治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/421b8213903d/diagnostics-14-01517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/8e07ae0a521a/diagnostics-14-01517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/f69caa830bca/diagnostics-14-01517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/421b8213903d/diagnostics-14-01517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/8e07ae0a521a/diagnostics-14-01517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/f69caa830bca/diagnostics-14-01517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce99/11275432/421b8213903d/diagnostics-14-01517-g003.jpg

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本文引用的文献

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Preoperative Prediction of Perineural Invasion and Prognosis in Gastric Cancer Based on Machine Learning through a Radiomics-Clinicopathological Nomogram.基于影像组学-临床病理列线图的机器学习对胃癌神经周围侵犯及预后的术前预测
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J Cell Mol Med. 2023 Dec;27(23):3692-3705. doi: 10.1111/jcmm.17897. Epub 2023 Oct 13.
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Transcriptome analyses reveal new insights on key determinants of perineural invasion in high-grade serous ovarian cancer.转录组分析揭示了高级别浆液性卵巢癌中神经周围浸润关键决定因素的新见解。
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Understanding and modeling nerve-cancer interactions.理解和建模神经-癌症相互作用。
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