新辅助治疗
危险系数
结直肠癌
免疫系统
H&E染色
医学
肿瘤微环境
肿瘤科
肿瘤浸润淋巴细胞
病态的
癌症
免疫组织化学
内科学
胃肠病学
病理
置信区间
免疫疗法
免疫学
乳腺癌
作者
Qianyu Wang,Wentao Zhong,Xiaofei Shen,Zechen Hao,Meng Wan,Xiaopeng Yang,Ran An,Hongyan Zhu,Huiyun Cai,Tao Li,Yuan Lv,Xing Dong,Gang Chen,Aijun Liu,Junfeng Du
标识
DOI:10.1038/s41698-024-00533-w
摘要
Abstract Tertiary lymphoid structure (TLS) contributes to the anti-tumor immune response, and predicts the prognosis of colorectal cancer patients. However, the potential impact of TLS in shaping the immune status of rectal adenocarcinoma, and the intrinsic relationship between TLS and neoadjuvant therapies (neoTx) remain unclear. We performed hematoxylin-eosin staining, immunohistochemical and biomolecular analyses to investigate TLS and tumor-infiltrating lymphocytes (TILs) in 221 neoTx-treated and 242 treatment-naïve locally advanced rectal cancer (LARC) patients. High TLS density was significantly associated with the absence of vascular invasion, a lower neutrophil-to-lymphocyte ratio, increased TLS maturity, a longer recurrence-free survival (RFS) (hazard ratio [HR] 0.2985 95% confidence interval [CI] 0.1894–0.4706, p < 0.0001) and enhanced infiltration of adaptive immune cells. Biomolecular analysis showed that high TLS-score was strongly associated with more infiltration of immune cells and increased activation of immune-related pathways. TLS + tumors in pre-treatment specimens were associated with a higher proportion of good respond (62.5% vs. 29.8%, p < 0.0002) and pathological complete remission (pCR) (40.0% vs. 11.1%, p < 0.0001), and significantly increased RFS (HR 0.3574 95%CI 0.1489–0.8578 p = 0.0213) compared with TLS - tumors in the neoTx cohort, which was confirmed in GSE119409 and GSE150082. Further studies showed that neoTx significantly reduced TLS density and maturity, and abolished the prognostic value of TLS. Our study illustrates that TLS may have a key role in mediating the T-cell-inflamed tumor microenvironment, which also provides a new direction for neoTx, especially neoadjuvant immunotherapy, in LRAC patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI