BACKGROUND The advanced lung cancer inflammation index (ALI) is regarded as a potential indicator of systemic inflammation. This retrospective study aimed to evaluate the prognostic role of the ALI in 96 patients with advanced small cell lung cancer (SCLC). MATERIAL AND METHODS This retrospective study included 96 patients who were diagnosed with extensive stage SCLC in a single institution between 2016 and 2022. The formula for ALI is body mass index (kg/m²)×serum albumin (g/dL)/neutrophil to lymphocyte ratio. Patients were divided into low inflammation (ALI ≥32.5) and high inflammation (ALI <32.5) groups. Kaplan-Meier analysis and Cox proportional analysis were conducted to assess the association between the ALI and patient prognosis. RESULTS Median age was 61 (range: 41-82) years. Median follow-up was 9 months, and median overall survival (OS) was 10 months (95% CI: 7.75-12.45). A lower ALI score (ALI <32.5) was correlated with a poorer OS than was a higher ALI score (median OS 7 months for ALI <32.5 95% CI: 4.6-9.3 vs 15 months for ALI ≥32.5, 95% CI: 10.6-19.3, P<0.001). In the multivariate analysis, ALI score, Eastern Cooperative Oncology Group performance status, brain metastasis, and bone metastasis were identified as independent prognostic factors. CONCLUSIONS ALI score is a substantial predictor of survival in SCLC as in other types of cancer types. Patients with a low ALI score have poorer survival. Assessment of ALI can identify lung cancer patients at high risk of poor prognosis and can be a useful prognostic marker in clinical practice.
The pivotal prognostic determinant for recurrence and survival in surgically treated gastric cancer (GC) patients remains the lymph node status. Despite the adoption of D2 lymph node dissection as the standard approach in recent years, its association with increased morbidity in elderly patients raises concerns. This study aims to explore the prognostic significance of the Positive Lymph Node Ratio (PLNR) score in the context of recurrence and survival among elderly patients with surgically treated GC. A retrospective review of files about surgically treated patients with GC was conducted. The prognostic impact of the PLNR score on overall survival (OS) was assessed through Receiver Operating Characteristic (ROC) analysis. The cut-off value for the PLNR, determined through ROC analysis, was identified as 0.138. This value serves as a crucial threshold, as it distinguishes patients with a higher risk of poor outcomes. Patients with a PLNR score of 0.138 or below exhibited a median OS of 111 months, whereas those with a PLNR score above 0.138 had a significantly lower median OS of 22 months (p = 0.004). Our findings revealed that the PLNR emerged as an independent predictor of survival and recurrence in patients undergoing GC resection.However, it's important to note that while valuable, the PLNR system has limitations. It does not encompass the T stage, a key factor in cancer staging. Therefore, it cannot be a direct substitute for the comprehensive information TNM staging provides. It should be used as a supplementary tool in predicting prognosis, particularly in elderly patients unsuitable for standard lymph node dissection.
AimInflammation and immune dysfunction significantly impact cancer progression and treatment responses. This retrospective study investigated inflammatory parameters and ferritin in predicting immunotherapy response in non-small cell lung cancer (NSCLC) patients.MethodsThe study included 199 patients with NSCLC who received nivolumab between 2018 and 2024 at five medical centers. Various inflammatory markers were also evaluated. Ferritin levels at diagnosis and pretreatment were also evaluated.ResultsROC curve analyses showed ferritin delta had high prognostic performance for PFS and OS, with AUC values of 0.70 and 0.73. PIV and PNI were significantly associated with PFS and OS. In Kaplan-Meier analyses, PNI was the most consistent prognostic factor. Low PNI (≤43.5) significantly associated with shorter OS (5.0 vs. 15.0 months, p = 0.001) and shorter PFS (4.0 vs. 8.0 months, p = 0.002). High mGPS (score 2) and elevated PIV showed significant prognostic value. In multivariate Cox regression, PNI demonstrated independent prognostic significance. Objective response rate was the strongest prognostic factor for PFS (HR = 0.188, 95%CI: 0.114-0.309, p < 0.001).ConclusionThese findings highlight the prognostic value of inflammatory and nutritional markers in patients with NSCLC receiving immunotherapy. PNI demonstrated the most consistent prognostic value across multiple analytical approaches and maintained significance in the multivariate analysis.
Objective: Soft tissue sarcomas are heterogeneous group of malignancies consisting of more than 50 subtypes. Although it is rare, it is usually resistant to chemotherapy and has a poor prognosis. In this study, we planned to investigate the efficacy, tolerability and side-effect profile of pazopanib in metastatic soft tissue sarcomas. Method-Material: Our study was a single-center retrospective study and included metastatic patients over the age of 18 who were treated with pazopanib. Data of 37 patients were obtained in retrospective medical records. In patients using pazopanib; Tumor location, histological subtype, tumor grade, disease stage, the line at which pazopanib was used, efficacy, tolerability, and side-effect profile of pazopanib were examined. Findings: The mean age of the patients at diagnosis was 49. Pleomorphic sarcoma was the most common subtype. The progression-free survival (PFS) of patients after first-line therapy was 18 weeks. The median overall survival (OS) of the patients was 20 months. The median PFS with pazopanip was 18 weeks. Conclusion: In the study we conducted research in terms of effectiveness and side effects; the use of pazopanib in soft tissue sarcoma was found to be effective in terms of both PFS and OS. Side effects were tolerable and treatable. In our study, a PFS of 32 weeks was obtained in patients with hypothyroidism and at 16 weeks in patients who did not. In this respect, development of hypothyroidism may be a predictive parameter for response.