ArticleTranslational cancer research2022
Prognostic factors in completely resected lymph-node-negative pulmonary adenocarcinoma.
Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Lymph node involvement is one of the important prognostic factors for early-stage lung cancer. However, in lymph node-negative (N0) lung cancer the recurrent rate may be as high as 30%. We aimed to study potential prognostic factors including clinicopathological factors and epidermal growth factor receptor (EGFR) mutation status in this lung cancer population. Methods: We retrospectively reviewed the medical records and pathological examinations of patients with completely resected N0 pulmonary adenocarcinoma treated in our institute between 2009 and 2016. We used Cobas Results: We recruited 220 patients with median duration of follow up 5 years. Majority of these patients were in stage I (80%) and did not receive adjuvant therapy (86%). There were 53% with EGFR mutations which comprised of exon 19 deletion 51% and L858R 43%. Recurrence occurred in 64 out of 220 patients (29%). The median time to recurrence was 2.1 years. Statistically significant prognostic factors in both univariate and multivariate analyses included tumor size ≥4 centimeter (cm) (HR: 1.94; 95% CI: 1.03-3.67), visceral pleural invasion (HR: 2.53; 95% CI: 1.34-4.79), tumor necrosis (HR: 2.45; 95% CI: 1.13-5.31) and bronchial resection margin <2 cm (HR: 1.96; 95% CI: 1.10-3.51). However, presence of sensitizing EGFR mutation was not found to be a significant prognostic factor (HR: 1.20; 95% CI: 0.66-2.18; P=0.56). Conclusions: In N0 surgically resected lung adenocarcinoma, there were significant pathological prognostic factors including tumor 4 cm or more, visceral pleural invasion, tumor necrosis and bronchial resection margin less than 2 cm. Mutation of EGFR is not a significant prognostic factor to determine the risk of recurrence in this population and their risks shall be determined by the other poor prognostic factors.
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