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• W2079237537 abstract "Data from 64 patients who underwent surgical resection of lung adenocarcinomas were studied to identify clinicopathologic markers that might provide prognostic information on the clinical behavior of this neoplasia. Patient staging was performed in accordance with the tumor-node-metastasis system as follows: Stage I (n = 29), Stage II (n = 11), Stage IIIA (n = 21), and Stage IIIB (n = 3). Overall follow-up time corresponded to the follow-up time for patients who were alive and to the survival time for patients who had died, all of them expressed in months. Data included age, staging, histologic type, morphometric assessment of histologic features related to tumor (stroma and vascularization), and immunohistochemical detection of proliferation cell markers (Ki-67 protein and proliferating cell nuclear antigen) and p53 protein. The morphometric assessment was made by the point-counting procedure. Data analysis included Life Tables for Survival and Cox Regression models. Overall follow-up analysis showed that significant univariate predictors (P <.05) were T stage; N stage; tumor stromal proportion; and immunohistochemical indexes of proliferating cell nuclear antigen, Ki-67, and p53 proteins. Variables that presented independent predictive value for overall follow-up with the multivariate model (P <.05) were sex, T stage, N stage, tumor stromal proportion, and immunohistochemical detection of p53 protein. We conclude that tumor stromal proportion and immunohistochemical detection of p53 protein, controlled for sex, T stage, and N stage, may be of critical value in the evaluation of recurrence of lung adenocarcinoma, serving as indicators for a more accurate prognosis." @default.
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• W2079237537 date "2000-05-01" @default.
• W2079237537 modified "2023-10-01" @default.
• W2079237537 title "Prognostic Values of Stromal Proportion and PCNA, Ki-67, and p53 Proteins in Patients with Resected Adenocarcinoma of the Lung" @default.
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• W2079237537 doi "https://doi.org/10.1038/modpathol.3880089" @default.
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