Nonlinear association between PD-L1 expression levels and the risk of postoperative recurrence in non-small cell lung cancer.

Accurate prediction of postoperative recurrence is important for optimizing the treatment strategies for non-small cell lung cancer (NSCLC). Previous studies identified the PD-L1 expression in NSCLC as a risk factor for postoperative recurrence. This study aimed to examine the contribution of PD-L1 expression to predicting postoperative recurrence using machine learning. The clinical data of 647 patients with NSCLC who underwent surgical resection were collected and stratified into training (80%), validation (10%), and testing (10%) datasets. Machine learning models were trained on the training data using clinical parameters including PD-L1 expression. The top-performing model was assessed on the test data using the SHAP analysis and partial dependence plots to quantify the contribution of the PD-L1 expression. Multivariate Cox proportional hazards model was used to validate the association between PD-L1 expression and postoperative recurrence. The random forest model demonstrated the highest predictive performance with the SHAP analysis, highlighting PD-L1 expression as an important feature, and the multivariate Cox analysis indicated a significant increase in the risk of postoperative recurrence with each increment in PD-L1 expression. These findings suggest that variations in PD-L1 expression may provide valuable information for clinical decision-making regarding lung cancer treatment strategies.

The combination of PD-L1 expression and the neutrophil-to-lymphocyte ratio as a prognostic factor of postoperative recurrence in non-small-cell lung cancer: a retrospective cohort study.

BACKGROUND: While PD-L1 expression and neutrophil-to-lymphocyte ratio (NLR) are prognostic biomarkers for lung cancer, few studies have considered their interaction. We hypothesized that the product of PD-L1 expression (tumor proportion score) and the NLR (PD-L1 × NLR) might be a postoperative prognostic marker reflecting the immune microenvironment of lung cancer. METHODS: We analyzed the association between PD-L1 × NLR and postoperative recurrence-free survival in 647 patients with NSCLC using multivariable Cox proportional hazards models. RESULTS: In the analysis of PD-L1 × NLR as a categorical variable, the group with PD-L1 × NLR ≥ 25.8 had a significantly higher hazard ratio (HR) than the group with < 25.8 (adjusted HR 1.78, 95% confidence interval [CI] 1.23-2.60). The adjusted HR for PD-L1 × NLR, considered a continuous variable, was 1.004 (95% CI, 1.002-1.006). The risk of postoperative recurrence increased by 1.004-fold for each unit increase in PD-L1 × NLR, and a more than 2-fold increase in risk was observed for values ≥ 170. CONCLUSIONS: PD-L1 × NLR may be used in real-world clinical practice as a novel factor for predicting the risk of postoperative recurrence after lung cancer surgery.

PIK3CA mutations associated with a poor postoperative prognosis in patients with pulmonary pleomorphic carcinoma: a retrospective cohort study.

BACKGROUND: Pulmonary pleomorphic carcinoma (PPC) is a rare type of non-small cell lung cancer characterized by high malignancy and a poor prognosis. PPC is associated with a high frequency of postoperative relapse, and shows resistance to chemotherapy. The high malignancy of cancers is associated with genomic instability, which is related to mutations of tumor suppressor genes, such as tumor protein p53 (TP53) and ataxia-telangiectasia mutated (ATM). In addition, signaling pathways involving the oncogenes such as phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) and epidermal growth factor receptor (EGFR) are associated with resistance to chemotherapy. However, the association of PPC with these gene mutations remains unknown. We investigated the impact of TP53, ATM, PIK3CA, and EGFR mutations on the postoperative prognosis of PPC. METHODS: Fifty-five patients with PPC who underwent complete resection were studied. A gene mutation analysis was performed using next-generation sequencing. Postoperative overall survival of patients with gene mutations was evaluated using a multivariable Cox proportional hazards model in which the explanatory variables were the presence of each gene mutation, and the confounding factors were pathological stage and age. The robustness of the results was evaluated by a sensitivity analysis. RESULTS: The frequencies of pathogenic mutations in TP53, ATM, PIK3CA, and EGFR were 47, 0, 7, and 9%, respectively. A multivariable analysis adjusted for pathological stage and age showed a significant difference for only PIK3CA mutations. The hazard ratio (HR) for overall survival in cases with pathogenic mutations of PIK3CA for wild type or non-pathogenic mutations was 4.5 (95% confidence interval [CI] 1.1-18.8). Likewise, sensitivity analyses adjusted for pathological stage and sex (HR, 7.5; 95% CI 1.7-32.4) and for age and sex (HR, 5.4; 95% CI 1.4-21.7) resulted in similar findings. Although three patients with pathogenic mutations of PIK3CA that recurred postoperatively were treated by chemotherapy or immunotherapy, they survived for less than 2 years. CONCLUSIONS: The postoperative prognosis of PPC with PIK3CA pathogenic mutations is particularly poor. Pathogenic mutations of PIK3CA may be a postoperative prognostic marker. Inhibition of signaling pathways associated with PIK3CA mutations may also be a target for chemotherapy after relapse of PPC.

G-CSF-producing left lung squamous cell carcinoma positive for ROS1 rearrangements completely resected after neoadjuvant radiation chemotherapy: A case report.

Granulocyte colony-stimulating factor (G-CSF) promotes neutrophil production. G-CSF-producing tumors have a feature of neutrophilia without infection, and most patients with G-CSF-producing tumors show an aggressive clinical course and poor prognosis. A 71-year-old woman was diagnosed with left lung cancer, cT4N1M0, stage IIIA. Severe neutrophilia and bone marrow uptake in 18-fluorodeoxyglucose-positron emission tomography suggested the possibility of G-CSF-producing lung cancer. Following neoadjuvant radiation chemotherapy, left lower lobectomy and left upper lobe partial resection were performed. According to pathology findings of the resected specimen, the patient was diagnosed with G-CSF-producing left lung squamous cell carcinoma. Moreover, genetic tests showed that the tumor cells were positive for c-ros oncogene 1 (ROS1) rearrangements. To our knowledge, this is the first reported case of G-CSF-producing lung cancer with ROS1 rearrangements, and complete resection was performed successfully after neoadjuvant radiation chemotherapy.