| Autor: |
Xunjun Li, Yiyun Wang, ZhongYa Zhai, Qingyi Mao, Dianjie Chen, Luxi Xiao, Shuai Xu, Qilin Wu, Keming Chen, Qiantong Hou, Qinglie He, Yuyang Shen, Manchun Yang, Zishan Peng, Siqing He, Xuanhui Zhou, Haoyang Tan, Shengwei Luo, Chuanfa Fang, Guoxin Li, Tao Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Experimental & Clinical Cancer Research, Vol 42, Iss 1, Pp 1-19 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1756-9966 |
| DOI: |
10.1186/s13046-023-02730-0 |
| Popis: |
Abstract Background The perineural invasion (PNI)-mediated inflammation of the tumor microenvironment (TME) varies among gastric cancer (GC) patients and exhibits a close relationship with prognosis and immunotherapy. Assessing the neuroinflammation of TME is important in predicting the response to immunotherapy in GC patients. Methods Fifteen independent cohorts were enrolled in this study. An inflammatory score was developed and validated in GC. Based on PNI-related prognostic inflammatory signatures, patients were divided into Clusters A and B using unsupervised clustering. The characteristics of clusters and the potential regulatory mechanism of key genes were verified by RT-PCR, western-blot, immunohistochemistry and immunofluorescence in cell and tumor tissue samples.The neuroinflammation infiltration (NII) scoring system was developed based on principal component analysis (PCA) and visualized in a nomogram together with other clinical characteristics. Results Inflammatory scores were higher in GC patients with PNI compared with those without PNI (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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