Purpose Currently, there is no uniform standard to guide postoperative adjuvant chemotherapy for patients with multifocal non-small cell lung cancers (NSCLCs) ≤3 cm. Therefore, there is an urgent need to explore prognostic molecular markers to identify high-risk patients with multifocal NSCLCs ≤3 cm. We aimed to explore the potential value of metastasis-associated protein 1(MTA1) expression in risk stratification of patients with multifocal NSCLCs ≤3 cm. Methods We retrospectively analyzed the clinical data and postoperative survival data of patients with multifocal NSCLCs ≤3 cm. Paraffin-embedded tissue sections were used for immunohistochemistry. Semiquantitative immunoreactivity scoring (IRS) system was used to evaluate the nuclear expression of MTA1. SPSS software (version 23.0) was used to analyze the data. Results The IRS of MTA1 nuclear expression in 259 lesions of 119 patients ranged from 2.2 to 11.7 (median: 5.6). Our results showed that MTA1 expression was highest in high-risk pathological subtypes of lung adenocarcinoma. MTA1 expression in multiple primary lung cancers (MPLCs) was lower than that in intrapulmonary metastases (IPMs). The median follow-up duration was 25.97 months. The disease-free survival (DFS) of patients with MPLCs was significantly better than that of patients with IPMs, and the DFS of patients with high MTA1 expression was significantly worse than that of patients with low MTA1 expression. Multivariate Cox analysis showed that high MTA1 expression (hazard ratio: 7.937, 95% confidence interval: 2.433–25.64, p =0.001) was a statistically significant predictor of worse DFS in patients with multifocal NSCLCs ≤3 cm. Conclusion MTA1 expression can stratify the risk in patients with multifocal NSCLCs ≤3 cm. Patients with MTA1 immunohistochemical score >5.6 are at a high risk of postoperative recurrence, and these patients may benefit from postoperative adjuvant chemotherapy.
Background Systematic lymph node dissection is an important part of radical resection for lung cancer. Insufficient incision of the mediastinal pleura results in a tapered or tunnel-like operation surface, which increases the difficulty of uniportal video-assisted thoracoscopic mediastinal lymph node dissection. The objective of this study was to report our concept of broad exposure and investigate the efficacy and safety of this concept in uniportal video-assisted thoracoscopic mediastinal lymph nodes dissection. Methods We retrospectively analyzed the clinical data of the 204 non-small cell lung cancer patients who underwent uniportal video-assisted thoracoscopic surgery for anatomical lobectomy and systematic lymph node dissection following the concept of broad exposure. SPSS 23.0 software was used for statistical analysis. Results All operations were completed under uniportal video-assisted thoracoscopic surgery following the concept of broad exposure. The median surgery time was 102 (range, 76–285) minutes and the median blood loss was 50 (range, 20–900) milliliters. The median chest tube duration time was 2 (range, 1–6) days, the median postoperative hospital duration time was 5 (range, 4–10) days. The median number of dissected lymph node stations and dissected lymph nodes were 8 (range,6–9) and 15(range,12–19), respectively. The median number of dissected mediastinal lymph nodes stations and dissected mediastinal lymph nodes were 5(range,3–6) and 11(range,10–15), respectively. The up-staging rate of N staging was 6.86%. The postoperative complication rate was 10.29% and there was no perioperative death. Conclusions According to our results, it’s effective and safe to perform uniportal video-assisted thoracoscopic mediastinal lymph nodes dissection following the concept of broad exposure. This new concept not only emphasizes sufficient exposure, but also focuses on protection of important tissues.
Our aim is to establish a model for predicting the aggressiveness of pathological subtypes of multiple primary invasive lung adenocarcinomas based on CT radiomics to provide a reference for preoperative planning in affected patients. Clinical data and CT images of patients who were diagnosed as having multiple primary invasive lung adenocarcinomas through postoperative pathological analysis from January 2016 to December 2020 in the Third Affiliated Hospital of Kunming Medical University were retrospectively analyzed. 3D Slicer software were used to perform the focal segmentation and feature extraction of the CT images. Five classification learners were employed to establish models for predicting the aggressiveness of pathological subtypes of the lung adenocarcinomas, and evaluate the performance of the prediction model based on the area under the Area Under the subject operating characteristic Curve (AUC). 204 patients were enrolled, surgical intervention was applied to 408 nodules. Of them, 36.8% nodules were Acinar-type.The analysis of the CT radiomics-based aggressiveness prediction model demonstrated that the training group showed that the AUC values of logistic regression (LR), random forest (RF), decision tree(DT), support vector machine(SVM), and adaptive boosting(AdaBoost) models were all within 0.7–1, and the testing group showed that the AUC values of the LR and RF models were all within 0.7–0.9. Our results indicate that acinar-type is the main pathological subtype of multiple primary invasive lung adenocarcinomas. LR and RF models presented a certain level of accuracy performance in predicting the aggressiveness of pathological subtypes of multiple primary invasive lung adenocarcinomas and thus facilitate preoperative planning in cancer patients.
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