| Autor: |
Daming Cai, Xingzhou Wang, Heng Yu, Chunhua Bai, Yonghuan Mao, Mengjie Liang, Xuefeng Xia, Song Liu, Meng Wang, Xiaofeng Lu, Junfeng Du, Xiaofei Shen, Wenxian Guan |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Clinical & Translational Immunology, Vol 13, Iss 2, Pp n/a-n/a (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2050-0068 |
| DOI: |
10.1002/cti2.1489 |
| Popis: |
Abstract Objectives Tertiary lymphoid structures (TLSs) are lymphocyte aggregates that play an anti‐tumor role in most solid tumors. However, the functions of TLS in gastric neuroendocrine neoplasms (GNENs) remain unknown. This study aimed to determine the characteristics and prognostic values of TLS in resected GNEN patients. Methods Haematoxylin–eosin, immunohistochemistry (IHC) and multiple fluorescent IHC staining were used to assess TLS to investigate the correlation between TLSs and clinicopathological characteristics and its prognostic value. Results Tertiary lymphoid structures were identified in 84.3% of patients with GNEN. They were located in the stromal area or outside the tumor tissue and mainly composed of B and T cells. A high density of TLSs promoted an anti‐tumor immune response in GNEN. CD15+ TANs and FOXP3+ Tregs in TLSs inhibited the formation of TLSs. High TLS density was significantly associated with prolonged recurrence‐free survival (RFS) and overall survival (OS) of GNENs. Univariate and multivariate Cox regression analyses revealed that TLS density, tumor size, tumor–node–metastasis (TNM) stage and World Health Organisation (WHO) classification were independent prognostic factors for OS, whereas TLS density, tumor size and TNM stage were independent prognostic factors for RFS. Finally, OS and RFS nomograms were developed and validated, which were superior to the WHO classification and the TNM stage. Conclusion Tertiary lymphoid structures were mainly located in the stromal area or outside the tumor area, and high TLS density was significantly associated with the good prognosis of patients with GNEN. Incorporating TLS density into a nomogram may improve survival prediction in patients with resected GNEN. |
| Databáze: |
Directory of Open Access Journals |
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