Clinicopathological and Prognostic Significance of Stromal Patterns in Oral Squamous Cell Carcinoma.

Clinicopathological and Prognostic Significance of Stromal Patterns in Oral Squamous Cell Carcinoma.
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DOI:
10.3389/fmed.2022.859144
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发表时间:
2022
影响因子:
3.9
通讯作者:
--
中科院分区:
医学3区
文献类型:
--
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基质模式(SP),特别是促纤维增生反应,最近已获得关注的恶性肿瘤的潜在指标。本研究旨在探讨SP在口腔鳞状细胞癌(OSCC)中的临床病理意义及预后意义。我们回顾了232例未经新辅助放化疗的手术切除的口腔鳞状细胞癌。我们将口腔鳞癌的SP分为四组:免疫/炎症(84例),成熟(14例),中间(78例),或未成熟(56例)。SP分类与各种临床病理因素显著相关,如组织学分级、淋巴管浸润、神经浸润和弥漫性浸润模式。对于每个因素,免疫/炎症类型与有利类别相关,而未成熟类型与不利类别相关(p ≤ 0.001)。SP类别也被证明是一个预后预测因子:免疫/炎症型、中间/成熟型和未成熟型的5年无复发生存率分别为72.0%、66.7%和31.2免疫/炎症型、中间/成熟型和未成熟型的5年总生存率(OS)分别为85.1%、76.4%和50.0%(p < 0.0001)。在多变量分析中,SP分类被确定为RFS和OS的独立预后因素。我们的SP分类方法提供了有价值的预后信息在口腔鳞癌。
Stromal patterns (SP), especially desmoplastic reactions, have recently gained attention as indicators of malignant potential in cancer. In this study, we explored the clinicopathological and prognostic significance of the SP in oral squamous cell carcinoma (OSCC). We reviewed 232 cases of surgically resected OSCC that were not treated with neoadjuvant chemoradiotherapy. We categorized the SP of the OSCC into four groups: immune/inflammatory (84 cases), mature (14 cases), intermediate (78 cases), or immature (56 cases). The SP category was significantly associated with various clinicopathological factors, such as the histological grade, lymphovascular invasion, neural invasion, and a diffuse invasion pattern. For each of the factors, the immune/inflammatory type was associated with favorable categories, while the immature type was associated with unfavorable categories (p ≤ 0.001). The SP category was also shown to be a prognostic predictor: the 5-year relapse-free survival (RFS) rate was 72.0% for the immune/inflammatory type, 66.7% for the intermediate/mature type, and 31.2% for the immature type (p < 0.0001), and the 5-year overall survival (OS) rate was 85.1% for the immune/inflammatory type, 76.4% for the intermediate/mature type, and 50.0% for the immature type (p < 0.0001). In multivariate analyses, the SP category was identified as an independent prognostic factor for RFS and OS. Our SP categorization method provides valuable prognostic information in OSCC.
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