肿瘤萌芽是临床早期口腔粘膜鳞状细胞癌隐匿性宫颈转移的最佳指标。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-21 DOI:10.1111/jop.13533
Zhi Zheng, Huan-Xing Yang, Yi-Hong Fang, Jin Wang, Shi-Wei Fu, Qi-Ming Ouyang
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引用次数: 0

摘要

背景:颊粘膜鳞状细胞癌(BMSCC)是一种侵袭性疾病:口腔粘膜鳞状细胞癌(BMSCC)是一种侵袭性疾病。本研究探讨了肿瘤出芽(TB)、侵袭深度(DOI)和侵袭方式(MOI)对 BMSCC 隐匿性宫颈转移(CM)的临床病理学意义:这项回顾性研究共纳入 71 例 cT1-2N0 BMSCC 患者。研究回顾了TB、DOI、MOI和其他临床病理特征。采用逻辑回归模型和 Cox 比例危险模型分别分析了隐匿性 CM、无局部复发生存率(LRRFS)和总生存率(OS)的风险因素:结果:采用逻辑回归模型进行的多变量分析表明,在调整变量后,MOI、DOI和TB与早期BMSCC的隐匿性CM显著相关。然而,利用 Cox 比例危险模型进行的多变量分析发现,只有肺结核是 LRRFS 的预后因素(危险比 15.03,95% 置信区间 [CI] 1.94-116.66;p = 0.01;趋势检验 p = 0.03)。MOI、DOI或TB与OS之间无明显关联:结论:TB是隐匿性CM和早期BMSCC预后的最佳预测指标,可帮助临床医生识别宫颈转移的高危患者。
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Tumor budding is an optimal indictor of occult cervical metastasis in clinical early-stage buccal mucosa squamous cell carcinoma

Background

Buccal mucosa squamous cell carcinoma (BMSCC) is an aggressive disease. This study investigated the clinicopathological significance of tumor budding (TB), depth of invasion (DOI), and mode of invasion (MOI) on occult cervical metastasis (CM) of BMSCC.

Methods

Seventy-one cT1–2N0 BMSCC patients were included in this retrospective study. TB, DOI, MOI, and other clinicopathological features were reviewed. Risk factors for occult CM, locoregional recurrence-free survival (LRRFS), and overall survival (OS) were analyzed using logistic regression and Cox's proportional hazard models, respectively.

Results

Multivariate analysis with the logistic regression model revealed that MOI, DOI, and TB were significantly associated with occult CM in early-stage BMSCC after adjusting for variates. However, multivariate analysis with the Cox's proportional hazard model found only TB to be a prognostic factor for LRRFS (hazard ratio 15.03, 95% confidence interval [CI] 1.94–116.66; p = 0.01; trend test p = 0.03). No significant association was found between MOI, DOI, or TB and OS.

Conclusions

The optimal predictor of occult CM and prognosis of early-stage BMSCC is TB, which may assist clinicians in identifying patients at high risk of cervical metastasis.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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