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Proteomic and metabolomic profiling of plasma predicts immune-related adverse events in older patients with advanced non-small cell lung cancer

The clinical success of immune checkpoint inhibitors is compromised by the fact of immune-related adverse events (irAEs), especially for older patients. To identify predictive biomarkers for older patients with irAEs, we used multiplex immunoassay and flow cytometry and liquid chromatography-tandem...

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Published in:iScience 2024-06, Vol.27 (6), p.109946-109946, Article 109946
Main Authors: Gao, Jiayi, Zhang, Ping, Nie, Xin, Tang, Min, Yuan, Yue, He, Liuer, Wang, Xue, Ma, Junling, Li, Lin
Format: Article
Language:English
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Summary:The clinical success of immune checkpoint inhibitors is compromised by the fact of immune-related adverse events (irAEs), especially for older patients. To identify predictive biomarkers for older patients with irAEs, we used multiplex immunoassay and flow cytometry and liquid chromatography-tandem mass spectrometry to test immune factors and plasma protein and metabolites levels in non-small cell lung cancer (NSCLC) patients. The results showed that older patients with irAEs displayed lower CD28, CD4+ T cell, and B cell and higher interleukin (IL)-10 and CCL2 levels at baseline. Besides, lower aldolase, fructose-bisphosphate B (ALDOB), higher ST6GAL1, and lower lactate/pyruvate ratio at baseline were found in older patients with irAEs. Based on metabolomic markers, predictive models were developed to distinguish patients with grade 2–4 irAEs from grade 0–1 (Area under curve, AUC = 0.831) and to distinguish patients with grade 3–4 irAEs from grade 2 (AUC = 1). Our results confirmed the predictive value of plasma metabolites for irAEs in older patients with NSCLC. [Display omitted] •Expression of ALDOB, lactate/pyruvate ratio, and ST6GAL1 were associated with irAEs•Plasma metabolites changes predict the occurrence of irAEs•Lower ALDOB expression and a lower lactate/pyruvate ratio indicate a good prognosis Age; Outcome; Immunity; Cancer; Proteomics ; Metabolomics.
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2024.109946