首页> 外文期刊>British Journal of Cancer >Post-neoadjuvant cellular dissociation grading based on tumour budding and cell nest size is associated with therapy response and survival in oesophageal squamous cell carcinoma
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Post-neoadjuvant cellular dissociation grading based on tumour budding and cell nest size is associated with therapy response and survival in oesophageal squamous cell carcinoma

机译:基于肿瘤芽和细胞巢尺寸的新辅助细胞解离分级与食管鳞状细胞癌中的治疗反应和存活相关

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Background Cellular Dissociation Grade (CDG) composed of tumour budding and cell nest size has been shown to independently predict prognosis in pre-therapeutic biopsies and primary resections of oesophageal squamous cell carcinoma (ESCC). Here, we aimed to evaluate the prognostic impact of CDG in ESCC after neoadjuvant therapy. Methods We evaluated cell nest size and tumour budding activity in 122 post-neoadjuvant ESCC resections, correlated the results with tumour regression groups and patient survival and compared the results with data from primary resected cases as well as pre-therapeutic biopsies. Results CDG remained stable when results from pre-therapeutic biopsies and post-therapeutic resections from the same patient were compared. CDG was associated with therapy response and a strong predictor of overall, disease-specific (DSS) and disease-free (DFS) survival in univariate analysis and—besides metastasis—remained the only significant survival predictor for DSS and DFS in multivariate analysis. Multivariate DFS hazard ratios reached 3.3 for CDG-G2 and 4.9 for CDG-G3 neoplasms compared with CDG-G1 carcinomas ( p ?=?0.016). Conclusions CDG is the only morphology-based grading algorithm published to date, which in concert with regression grading, is able to contribute relevant prognostic information in the post-neoadjuvant setting of ESCC.
机译:背景技术由肿瘤芽和细胞巢尺寸组成的细胞解离等级(CDG)独立地预测治疗前的活组织检查和食管鳞状细胞癌(ESCC)的初级切除预后。在这里,我们的目标是在Neoadjuvant治疗后评估CDG在ESCC中的预后影响。方法我们评估了122次后新辅助ESCC切除术中的细胞巢大小和肿瘤萌芽活性,将结果与肿瘤回归组和患者存活结果相关,并将结果与​​来自初级切除病例以及预治疗前的数据进行比较。结果CDG与同一患者的治疗性活组织检查和治疗后切除的结果保持稳定。 CDG与治疗反应相关,并且在单变量分析中的整体,疾病特异性(DSS)和无疾病(DFS)生存的强预测因子 - 除了转移之外 - 仍然是多元分析中DSS和DFS的唯一显着的存活预测因子。与CDG-G1癌相比,CDG-G3肿瘤的CDG-G2和4.9的多元DFS危险比率达到3.3(p?= 0.016)。结论CDG是迄今为止发布的唯一基于形态的分级算法,其与回归分级有音乐会,能够在ESCC的后新辅助创建中提供相关的预后信息。

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