Prospective observational study of nutritional/immunologic indices as predictive biomarkers for the response to anti-PD-1 drugs in non-small cell lung cancer (ICI-PREDICT study).
Shinkichi TakamoriTaro OhbaMototsugu ShimokawaTaichi MatsubaraNaoki HaratakeNaoko MiuraRyo ToyozawaMasafumi YamaguchiTakashi SetoMitsuhiro TakenoyamaPublished in: PloS one (2021)
Immune checkpoint inhibitors (ICIs) targeting programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) have markedly improved the prognosis of many patients with advanced non-small cell lung cancer (NSCLC). However, the relationship between the patient's nutritional/immunologic status and the outcomes of ICI treatment remains unclear. In previous retrospective studies, we reported that the controlling nutritional status (CONUT) score, skeletal muscle area, and neutrophil-to-lymphocyte ratio were independent predictors of the response of NSCLC patients to anti-PD-1 drugs. The aim of this prospective multi-center study is to investigate the clinical impact of pre-treatment nutritional/immunologic indices and early post-treatment changes in the indices on treatment outcomes in advanced NSCLC. The main inclusion criteria are: (1) stage IV NSCLC, or stage III NSCLC not applicable for definitive chemoradiotherapy; (2) treatment with ICIs (monotherapy or combined with chemotherapy) as first-line therapy; and (3) available data on PD-L1 expression on tumor cells. A total of 300 patients will be enrolled prospectively. Enrollment will begin in 2020 and the final analyses will be completed by 2025.
Keyphrases
- advanced non small cell lung cancer
- small cell lung cancer
- skeletal muscle
- end stage renal disease
- ejection fraction
- epidermal growth factor receptor
- newly diagnosed
- chronic kidney disease
- combination therapy
- type diabetes
- healthcare
- clinical trial
- radiation therapy
- locally advanced
- squamous cell carcinoma
- prognostic factors
- case report
- drug delivery
- electronic health record
- patient reported outcomes
- cancer therapy
- cell therapy
- bone marrow
- metabolic syndrome
- patient reported
- artificial intelligence
- open label
- glycemic control
- tyrosine kinase