Clinical lung cancer最新文献

Objective: Neoadjuvant immunotherapy with checkpoint inhibitors has shown promising results for non-small-cell lung cancer (NSCLC) patients. However, it has been associated with immune-related adverse events (irAEs), including checkpoint inhibitor pneumonitis (CIP), which can be life-threatening.

Methods: This retrospective study analysed the medical records of 197 NSCLC patients who underwent neoadjuvant checkpoint inhibitor therapy to investigate the incidence, clinical characteristics, and management of CIP.

Results: Of the 197 patients, 24 (12.2%) developed CIP. The majority of patients presented with respiratory symptoms, and ground-glass opacities were the most common radiographic finding. Patients with CIP had a longer duration of immunotherapy and a higher baseline C-reactive protein level than those without CIP. Most cases were mild to moderate in severity (Grade 1: 11, Grade 2: 6, Grade 3: 5) and managed with corticosteroids, while 2 patients of Grade 4 developed severe respiratory failure requiring mechanical ventilation. No patient died due to respiratory failure.

Conclusions: CIP was identified as a potential complication of neoadjuvant treatment with checkpoint inhibitors in patients with resectable NSCLC. Therefore, close monitoring for CIP and prompt recognition and management of symptoms are essential for the safe use of checkpoint inhibitors in NSCLC patients. While the study also found that such neoadjuvant treatment can induce a major pathological response in a significant proportion of these patients, further research is required to fully understand and manage the risk factors of CIP in this patient population.

Background: Patients with nonsmall cell lung cancer with anaplastic lymphoma kinase (ALK) rearrangements derive a significant and durable clinical benefit from tyrosine kinase inhibitors (TKIs). However, early progression/death on treatment occurs in a subset of patients, which we term the poor prognostic ALK phenotype. This review aims to summarize the known molecular mechanisms that underlie this phenotype with a focus on variant 3 and TP53 mutations.

Methods: A scoping review was performed using scientific databases such as Ovid Medline, Ovid Embase, and Cochrane Central Register of Controlled Trials. Studies included molecular markers of poor prognosis, with a focus on TP53 mutations, variant 3 re-arrangements, and poor clinical response to TKIs.

Results: Of 4371 studies screened, 108 were included. Numerous studies implicated a negative prognostic role of variant 3, likely mediated through the acquisition of on-target resistance mutations and TP53 mutations which are associated with greater chromosomal instability and mutational burden. Co-occurring variant 3 and TP53 mutations were associated with even worse survival. Other mediators of early resistance development include aberrations in cell cycle regulators and mutations in cell signaling pathways. Comprehensive genomic analysis from first-line TKI clinical trial data was unable to identify a singular genomic signature that underlies the poor prognostic phenotype but implicated a combination of pathways.

Conclusions: This scoping review highlights that the poor prognostic ALK phenotype is likely composed of a heterogeneous variety of genomic factors. There remains an unmet need for a genomic assay to integrate these various molecular markers to predict this ALK phenotype.

Introduction: Stage IIIA non-small cell lung cancers (NSCLC) are treated with surgery-based multimodality approach or definitive chemoradiation therapy plus durvalumab consolidation. It is not clear whether surgery-based multimodality therapy has any survival advantage over definitive chemoradiation plus immunotherapy consolidation.

Method: National Cancer Database (NCDB) was used to identify NSCLC patients at stage IIIA (AJCC8, T3N1/T4N0-1 or T1N2/T2N2) who are treated with surgery-based multimodality approach or definitive chemoradiation plus durvalumab. Survival between groups were compared using inverse probability treatment weighting (IPTW)-adjusted Kaplan Meier curves and Cox proportional hazards regression analysis. Results were independently confirmed by Landmark Inverse and Clone Censor Weight analyses to address immortal time bias.

Results: From 2017 to 2019, 24,170 patients are identified as potentially resectable stage IIIA (T3N1, T4N0-1, T1N2/T2N2). Among them, 2,615 (10.8%) received surgery-based multimodality therapy and 2,985 (12.4%) received definitive chemoradiation plus durvalumab. Surgery based multimodality approach had significant survival advantage over definitive chemoradiation plus durvalumab (HR 0.74; 95% CI 0.69-0.79, P < .001). The median overall survival (mOS) for the definitive chemoradiation plus durvalumab group was 48.59 m whereas mOS was not reached for surgery-based multimodality group. This trend persisted in both N2 negative and positive tumors. Neoadjuvant chemotherapy was just as effective as adjuvant chemotherapy and delay of immunotherapy consolidation to 12 weeks after initiation of chemoradiation did not negatively affect survival outcome.

Conclusion: For stage IIIA NSCLC patients, surgery-based multimodality treatment outperformed chemoradiation plus durvalumab in survival.

Background: To compare the long-term survival between robotic and video-assisted thoracic surgery (VATS) lobectomy for stage Ⅰ non-small-cell lung cancer (NSCLC) with radiologic solid tumors.

Methods: Clinical stage Ⅰ NSCLC patients with radiologic solid tumors who underwent robotic-assisted thoracic surgery (RATS) or VATS lobectomy between 2015 and 2017 were retrospectively reviewed. A propensity score matching analysis was performed to balance the baseline characteristics. The primary end points were overall survival (OS) and recurrence-free survival (RFS).

Results: A total of 518 patients (225 RATS and 293 VATS) were included. After propensity score matching, there were 170 cases in each group. Patients undergoing RATS had shorter operative time than VATS (98.12 min vs. 112.26 min; P < 0.001). The RATS approach resulted in a higher number of resected lymph nodes (LNs) (11.75 vs. 9.77; P < 0.001). The postoperative complication rates were comparable (7.6% vs. 10.0%, P = .566). The rates of 5-year OS and RFS for the RATS and VATS were 92% versus 89% (P = .62) and 82% vs. 86% (P = .70), respectively. Multivariate analysis revealed that the number of resected LNs was significantly associated with overall survival (OR = 1.94 [95% confidence interval [CI]: 1.07-3.51], P = .029).

Conclusion: The long-term survival outcomes of RATS and VATS are similar for c-stage Ⅰ NSCLC with radiologic solid tumors. The use of robotics is associated with more lymph node dissection and shorter operative time. We suggested that the number of examined lymph nodes rather than surgical approaches was associated with overall survival.

Background: The RESECT-90 model was developed to predict 90-day mortality for patients undergoing lung resection but hasn't been externally validated. The aim of this study was to validate the RESECT-90 clinical prediction model using multicentre patient data from across the United Kingdom (UK).

Materials and methods: Data from 12 UK thoracic surgery centers for patients undergoing lung resection between 2016 and 2020 with available 90-day mortality status were used to externally validate the RESECT-90 model. Measures of discrimination (area under the receiving operator characteristic curve [AUC]) and calibration (calibration slope, calibration intercept and flexible calibration plot) were assessed as measures of model performance. Model recalibration was also performed by updating the original model intercept and coefficients.

Results: A total of 12,241 patients were included. Overall 90-day mortality was 2.9% (n = 360). Acceptable model discrimination was demonstrated (AUC 0.74 [0.73, 0.75]). Calibration varied between centers with some evidence of overall model miscalibration (calibration slope 0.80 [0.66, 0.95] and calibration intercept 0.40 [0.29, 0.52]) despite acceptable appearances of the flexible calibration plot. The model was subsequently recalibrated, after which all measures of calibration indicated excellent performance.

Conclusions: After external validation and recalibration using a large contemporary cohort of patients undergoing surgery in multiple geographical locations across the UK, the RESECT-90 model demonstrated satisfactory statistical performance for the prediction of 90-day mortality after lung resection. Whilst the recalibrated model will require ongoing validation, the results of this study suggest that routine use of the RESECT-90 model in UK thoracic surgery practice should be considered.