Year-end Sale % OFF 
Abstract
BackgroundLung adenocarcinoma with micropapillary and solid predominant subtypes was reported to be associated with poor prognosis; however, whether minor components (non-predominant) of micropapillary and solid subtypes predict poor prognosis remains unknown. In this study, we investigated the predictive and prognostic value of lymph node metastasis of minor micropapillary and solid components.MethodsSpecimens of resected tumors of 1244 patients were reclassified to determine the predominant subtype and minor components (>5 %, but not predominant). Of these specimens, 105 contained a micropapillary component and 210 contained a solid component. The correlation between each subtype and lymph node metastasis was analyzed, and survival analyses were used to determine the association between each subtype and patient survival.ResultsAdenocarcinomas harboring micropapillary and/or solid components held higher rates of metastatic lymph node stations (25.2 % vs. 15.6 %, p = 0.002; and 24.0 % vs. 14.9 %, p < 0.001, respectively) and lymph nodes (17.3 % vs. 10.1 %, p = 0.004; and 15.5 % vs. 9.7 %, p = 0.001, respectively). Patients with micropapillary and solid components in their tumors showed a shorter median recurrence-free survival (15.8 vs. 62.8 months, p < 0.001; and 20.8 months vs. not reached, p < 0.001) and overall survival (47.0 months vs. not reached, p < 0.001; and 69.0 months vs. not reached, p < 0.001).ConclusionsMinor components of micropapillary and/or solid subtypes of lung adenocarcinoma are correlated with lymph node metastasis and poor prognosis. Thus, it is beneficial to focus not only on predominant subtypes but also minor components to predict prognoses and make therapeutic strategies more comprehensively.Electronic supplementary materialThe online version of this article (doi:10.1245/s10434-015-5043-9) contains supplementary material, which is available to authorized users.
Highlights
Lung adenocarcinoma with micropapillary and solid predominant subtypes was reported to be associated with poor prognosis; whether minor components of micropapillary and solid subtypes predict poor prognosis remains unknown
For the 1244 patients with pathologically validated lung adenocarcinoma included in this study, a reclassification by three pathologists manifested that there were 158 lepidicpredominant, 598 acinar-predominant, 170 papillary-predominant, 68 micropapillary-predominant, 171 solidpredominant, and 72 invasive mucinous adenocarcinoma
Of the 1244 patients, 109 had a tumor containing a minor component of lepidic subtype, 196 a minor acinar component, 178 a minor papillary component, 105 a minor micropapillary component, 210 a minor solid component, and 62 had a tumor containing a minor invasive mucinous component
Summary
Lung adenocarcinoma with micropapillary and solid predominant subtypes was reported to be associated with poor prognosis; whether minor components (non-predominant) of micropapillary and solid subtypes predict poor prognosis remains unknown. We investigated the predictive and prognostic value of lymph node metastasis of minor micropapillary and solid components. Specimens of resected tumors of 1244 patients were reclassified to determine the predominant subtype and minor components ([5 %, but not predominant). Of these specimens, 105 contained a micropapillary component and 210 contained a solid component. The correlation between each subtype and lymph node metastasis was analyzed, and
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
