Sampaio-Góes Fernanda C G, Oliveira Denise T, Dorta Regina G, Nonogaki Suely, Landman Gilles, Nishimoto Inês N, Kowalski Luiz P
Faculdade de Odontologia de Bauru, Area de Patologia, Alameda Octávio Pinheiro Brisolla, 9-75 CEP 17012-901, Bauru, São Paulo, Brazil.
Head Neck. 2005 Nov;27(11):982-9. doi: 10.1002/hed.20258.
The aim of this study was to compare the clinical features and proliferating cell nuclear antigen (PCNA), p53, Bcl-X, and Bax expression in primary oral basaloid squamous cell carcinoma (BSCC) and poorly differentiated squamous cell carcinoma (PDSCC) matched by stage and site and to assess the possible prognostic significance of these variables.
Seventeen cases of oral BSCC were compared with 27 PDSCCs matched by stage and tumor site. In addition, PCNA, p53, Bax, and Bcl-X expression in both carcinomas were evaluated in relation to their clinicopathologic features and prognostic values using the Kaplan-Meier method and Cox regression models.
No statistically significant differences were found between the groups (BSCC and PDSCC) in regard to clinical features and immunohistochemical reactivity for antibodies PCNA, p53, and Bcl-X. In comparison with PDSCC, the BSCC group exhibited a higher Bax score (p = .031). The 5-year and 10-year overall survival, cancer-specific survival, and disease-free survival rates demonstrated no significant differences between the BSCC and PDSCC groups, and the PCNA, p53, Bax, and Bcl-X also showed no prognostic value.
These results suggest that the clinical and biologic course of BSCC is similar to PDSCC in the oral cavity when clinical stage and site are matched.
本研究旨在比较原发性口腔基底样鳞状细胞癌（BSCC）和低分化鳞状细胞癌（PDSCC）在分期和部位匹配情况下的临床特征以及增殖细胞核抗原（PCNA）、p53、Bcl-X和Bax的表达情况，并评估这些变量可能的预后意义。
将17例口腔BSCC与27例分期和肿瘤部位匹配的PDSCC进行比较。此外，采用Kaplan-Meier法和Cox回归模型，评估两种癌中PCNA、p53、Bax和Bcl-X的表达与临床病理特征及预后价值的关系。
两组（BSCC和PDSCC）在临床特征以及PCNA、p53和Bcl-X抗体的免疫组化反应性方面未发现统计学显著差异。与PDSCC相比，BSCC组的Bax评分更高（p = 0.031）。BSCC组和PDSCC组的5年和10年总生存率、癌症特异性生存率和无病生存率均无显著差异，PCNA、p53、Bax和Bcl-X也均无预后价值。
这些结果表明，当临床分期和部位匹配时，口腔BSCC的临床和生物学进程与PDSCC相似。
