Background: Pneumonectomy is a major surgical resection that still remains a high-risk operation. The current study aims to investigate perioperative risk factors for postoperative morbidity and early mortality after pneumonectomy for thoracic malignancies. Methods: We retrospectively analyzed all patients who underwent pneumonectomy for thoracic malignancies at our institution between 2014 and 2022. Complications were assessed up to 30 days after the operation. Mortality for any reason was recorded after 30 days and 90 days. Results: A total of 145 out of 169 patients undergoing pneumonectomy were included in this study. The postoperative 30-day complication rate was 41.4%. The 30-day-mortality was 8.3%, and 90-day-mortality 17.2%. The presence of cardiovascular comorbidities was a risk factor for major cardiopulmonary complications (54.2% vs. 13.2%, p < 0.01). Postoperative bronchus stump insufficiency (OR: 11.883, 95% CI: 1.288–109.591, p = 0.029) and American Society of Anesthesiologists (ASA) score 4 (OR: 3.023, 95% CI: 1.028–8.892, p = 0.044) were independent factors for early mortality. Conclusion: Pneumonectomy for thoracic malignancies remains a high-risk major lung resection with significant postoperative morbidity and mortality. Attention should be paid to the preoperative selection of patients.
Objectives: About 90% of all non-small cell lung cancer (NSCLC) cases are associated with inhalative tabacco smoking. Half of patients continue smoking during lung cancer therapy. We examined the effects of postoperative smoking cessation on lung function, quality of life (QOL) and long-term survival. Materials and Methods: In total, 641 patients, who underwent lobectomy between 2012 and 2019, were identified from our single institutional data base. Postoperatively, patients that actively smoked at the time of operation were offered a structured ‘smoking cessation’ program. For this retrospective analysis, two patient groups (total n = 90) were selected by pair matching. Group A (n = 60) had no postoperative tobacco smoking. Group B (n = 30) involved postoperative continued smoking. Lung function (FEV1, DLCO) and QOL (‘SF-36′ questionnaire) were measured 12 months postoperatively. We compared long-term outcomes using Kaplan–Meier curves. Results: The mean age in group A was 62.6 ± 12.5 years and that in group B was 64.3 ± 9.7 years (p = 0.82); 64% and 62%, respectively, were male (p = 0.46). Preoperative smoking habits were similar (‘pack years’: group A, 47 ± 31; group B, 49 ± 27; p = 0.87). All relevant baseline characteristics we collected were similar (p > 0.05). One year after lobectomy, FEV1 was reduced by 15% in both groups (p = 0.98). Smoking cessation was significantly associated with improved DLCO (group A: 11 ± 16%; group B: −5 ± 14%; p <0.001) and QOL (vitality (VT): +10 vs. −10, p = 0.017; physical role function (RP): +8 vs. −17, p = 0.012; general health perceptions (GH): +12 vs. −5, p = 0.024). Patients who stopped smoking postoperatively had a significantly superior overall survival (median survival: 89.8 ± 6.8 [95% CI: 76.6–103.1] months vs. 73.9 ± 3.6 [95% CI: 66.9–80.9] months, p = 0.034; 3-year OS rate: 96.2% vs. 81.0%, p = 0.02; 5-year OS rate: 80.0% vs. 64.0%, p = 0.016). The hazard ratio (HR) was 2.31 [95% CI: 1.04–5.13] for postoperative smoking versus tobacco cessation. Conclusion: Postoperative smoking cessation is associated with improved quality of life and lung function testing. Notably, a significant increase in long-term survival rates among non-smoking NSCLC patients was observed. These findings could serve as motivation for patients to successfully complete a non-smoking program.
Background: Pulmonary metastasectomy (PM) is a widely accepted surgical procedure. This study aims to investigate postoperative morbidity and mortality after PM and develop a score to predict high-risk patients. Methods: We retrospectively investigated all patients undergoing a PM in our institution from November 2012 to January 2023. Complications were defined as the diagnosis of any new disease after the PM up to 30 days after the operation. Results: 1284 patients were identified. At least one complication occurred in 145 patients (11.29%). Only one patient died during the hospital stay. Preoperative cardiovascular comorbidities (OR: 2.99, 95% CI: 1.412–3.744, p = 0.01), major lung resections (OR: 2.727, 95% CI: 1.678–4.431, p < 0.01), repeated pulmonary metastasectomy (OR: 1.759, 95% CI: 1.040–2.976, p = 0.03) and open thoracotomy (OR: 0.621, 95% CI: 0.415–0.930, p = 0.02) were identified as independent factors for postoperative complications. Based on the above independent factors for postoperative morbidity, the Essen score was developed (overall correct classification: 94.6%, ROC-Analysis: 0.828, 95% CI: 0.795–0.903). Conclusion: PM is a safe surgical procedure with acceptable morbidity and low mortality. The aim of the Essen score is to identify patients that are associated with risk for postoperative complications after PM.
Objectives: Classifying radiologic pulmonary lesions as malignant is challenging. Scoring systems like the Mayo model lack precision in predicting the probability of malignancy. We developed the logistic scoring system ‘LIONS PREY’ (Lung lesION Score PREdicts malignancY), which is superior to existing models in its precision in determining the likelihood of malignancy. Methods: We evaluated all patients that were presented to our multidisciplinary team between January 2013 and December 2020. Availability of pathological results after resection or CT-/EBUS-guided sampling was mandatory for study inclusion. Two groups were formed: Group A (malignant nodule; n = 238) and Group B (benign nodule; n = 148). Initially, 22 potential score parameters were derived from the patients’ medical histories. Results: After uni- and multivariate analysis, we identified the following eight parameters that were integrated into a scoring system: (1) age (Group A: 64.5 ± 10.2 years vs. Group B: 61.6 ± 13.8 years; multivariate p-value: 0.054); (2) nodule size (21.8 ± 7.5 mm vs. 18.3 ± 7.9 mm; p = 0.051); (3) spiculation (73.1% vs. 41.9%; p = 0.024); (4) solidity (84.9% vs. 62.8%; p = 0.004); (5) size dynamics (6.4 ± 7.7 mm/3 months vs. 0.2 ± 0.9 mm/3 months; p < 0.0001); (6) smoking history (92.0% vs. 43.9%; p < 0.0001); (7) pack years (35.1 ± 19.1 vs. 21.3 ± 18.8; p = 0.079); and (8) cancer history (34.9% vs. 24.3%; p = 0.052). Our model demonstrated superior precision to that of the Mayo score (p = 0.013) with an overall correct classification of 96.0%, a calibration (observed/expected-ratio) of 1.1, and a discrimination (ROC analysis) of AUC (95% CI) 0.94 (0.92–0.97). Conclusions: Focusing on essential parameters, LIONS PREY can be easily and reproducibly applied based on computed tomography (CT) scans. Multidisciplinary team members could use it to facilitate decision making. Patients may find it easier to consent to surgery knowing the likelihood of pulmonary malignancy. The LIONS PREY app is available for free on Android and iOS devices.
Objectives: Pleural mesothelioma (PM) is a rare cancer that often develops after a decades-long latency period and confers a grim prognosis. Novel, biomarker-based therapeutic modalities are expected to improve the outcome of patients with advanced PM. CUDC-907 (fimepinostat) is a dual inhibitor that affects both histone deacetylases and PI3K enzymes. Its antitumor activity was described in several cancer types, but it has not yet been explored in PM. Materials and Methods: The sensitivity of 22 PM cell lines—including 18 models established in our laboratory—to cisplatin and CUDC-907 was determined using a cell viability assay. BAP1, PTEN, and c-Myc expression, as well as MYC copy number variation, were measured. The effect of combination treatment with cisplatin was assessed with cell viability, cell cycle, and 3D spheroid formation assays. Results: Most PM cell lines were sensitive to CUDC-907 treatment, and the CUDC-907 response was significantly higher in cell lines with higher c-Myc expression due to MYC copy number gain or amplification. Importantly, all cisplatin-insensitive cell lines were sensitive to CUDC-907. Combination treatment with cisplatin synergistically decreased cell viability and induced G2/M arrest or cell death. We tested cisplatin-sensitive P31WT and cisplatin resistant P31cis isogeneic pair and found that in both 2D and 3D assays the cisplatin-resistant cells showed a higher sensitivity to CUDC-907 single treatment. Combining CUDC-907 with cisplatin further decreased cell growth even in cisplatin-resistant cells. Conclusions: The majority of PM cell models are sensitive to CUDC-907, which may be a potent therapeutic agent in PM.