Prognostic assessment of lung adenocarcinoma patients with early-staging diseases: a nomogram based on coagulation-related factors.

OBJECTIVES: Early-stage lung adenocarcinoma (ADC) has a great heterogeneity in prognosis that is difficult to evaluate effectively. Thus, we developed and validated an effective nomogram prognostic model based on the clinical and laboratory characteristics of stage I-IIA ADC. METHODS: We included 1585 patients with pathologically diagnosed stage I-IIA ADC who underwent surgery at Shanghai Pulmonary Hospital. The nomogram was constructed based on the peripheral blood test and coagulation test indicators and evaluated using Calibration plots, concordance index, decision curve analysis and the X-tile software. Recurrence-free survival (RFS) and overall survival (OS) were estimated by the Kaplan-Meier method and the Cox proportional hazard regression model. The primary end point of this study was RFS. RESULTS: Thrombin time and 4 clinical indicators for RFS were integrated into nomograms. A favourable agreement between the nomogram prediction and validation was observed in the calibration curves for RFS probabilities. The concordance index of the nomogram to predict RFS was 0.736 (95% confidence interval, 0.717-0.755). Moreover, significant differences were shown between the high-risk and low-risk groups in RFS and OS (P < 0.001) after effective cut-off values of risk points were found based on the nomogram. CONCLUSIONS: We established and validated a prognostic nomogram including thrombin time to predict RFS and OS of stage I-IIA ADC patients. This nomogram provided an effective prediction ability for the prognosis of stage I-IIA ADC patients.

PET/CT metabolic patterns in systemic immune activation: A new perspective on the assessment of immunotherapy response and efficacy.

Despite advances in immunotherapy, extensive challenges remain in its clinical application. Positron emission tomography (PET)/computed tomography (CT) is widely used in the diagnosis and follow-up of malignant tumors and in the prediction of treatment outcomes. Successful cancer immunotherapy requires systemic immune activation. In addition to local immune responses, a systemic antitumor response involving primary and secondary lymphoid organs is required for tumor eradication. Immune-related adverse events (IRAEs) are considered to be a manifestation of excessive immune activation. PET/CT can monitor the metabolic changes in peripheral lymphoid organs and related organs. Thus, it can identify patients with effective immune activation and predict the efficacy and outcomes of immunotherapy. This review aimed to investigate the theoretical basis and feasibility of applying PET/CT for monitoring the immune activation status of peripheral lymphoid organs after immunotherapy and predict its effectiveness. Towards this goal, we reviewed the cellular components and structural composition of peripheral lymphoid organs, as well as their functions in the systemic immune response. We analyzed the theoretical basis and feasibility of applying PET/CT to monitor the immune activation status of peripheral lymphoid organs after immunotherapy to predict the effectiveness of immunotherapy.