Pneumonia, Interstitial Clinical Trial
Official title:
Exploration of Predictive Markers and Establishment of Predictive Models for Checkpoint Inhibitor Pneumonitis in Combination With Imaging in Immune Checkpoint Inhibitor Therapy
This is a prospective, multicenter observational study to explore the predictive factors of checkpoint inhibitor pneumonitis (CIP) and to establish predictive models by combining imaging information for IRP. The imaging type of CIP, the pathological type, various inflammatory cytokines and tumor proportion score(TPS) of PD-L1 expression level, etc. will be paid more attention.
Prospective dual-arm, multicenter observational study to explore the predictive factors of checkpoint inhibitor pneumonitis (CIP) and to establish predictive models by combining imaging information.Patients will receive work-up, treatment and follow-up exclusively as routinely done except monitoring and evaluation of CIP. Necessary tests will be required, such as lung function tests, lymphocyte subsets, and thin-section CT of the chest during evaluation of the disease.This study mainly included patients with malignant tumor who received immune checkpoint inhibitors for the first time.Fasting venous blood was taken before treatment and before cycle 3,5...2n+1 of treatment. Then the blood samples were centrifuged and frozen in a refrigerator at -80℃ for later mass spectrometry analysis. IrAEs of patients was strictly recorded according to CommonTerminology Criteria Adverse Events V4.0 (CTCAE V4.0). The main objective was to explore the relationship between various indicators and the occurrence of CIP, including pulmonary ventilation and diffusion function at baseline, C-reative protein(CRP), cytokines, interleukin-6(IL-6), CD4+ T lymphocyte count and percentage, CD8+ T lymphocyte count and percentage, NK cell count and percentage, total T lymphocyte count and percentage, neutrophil counts and percentages, eosinophilic cell count and percentage, white blood cell count, blood platelet count, serum albumin(ALB), alanine aminotransferase(ALT), aspartate aminotransferase (AST), γ-glutamyl transpeptadase（γ-GGT), body mass index (BMI), serum procalcitonin(PCT), smoking index and various inflammatory cytokines. Primary study endpoints: The predictive factors and the predictive models of CIP. Secondary study endpoints: The incidence and clinical characteristics of CIP. ;
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