1. Cancer-elicited inflammation attenuates response and outcome in tyrosine kinase inhibitor naive patients with advanced NSCLC
- Author
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Xue-Xin Cheng, Yu-Cui Liao, Ying Huang, Gang Xiong, Ruo-Wei Nie, Cui-Fen Xiong, Hou-Qun Ying, and Yan-Ran Luo
- Subjects
0301 basic medicine ,Oncology ,Male ,medicine.medical_specialty ,Lung Neoplasms ,Time Factors ,medicine.drug_class ,Population ,Inflammation ,Antineoplastic Agents ,Risk Assessment ,Tyrosine-kinase inhibitor ,Metastasis ,Decision Support Techniques ,03 medical and health sciences ,0302 clinical medicine ,Predictive Value of Tests ,Risk Factors ,Internal medicine ,Carcinoma, Non-Small-Cell Lung ,medicine ,Biomarkers, Tumor ,Tumor Microenvironment ,Humans ,education ,Protein Kinase Inhibitors ,Pharmacology ,education.field_of_study ,Proportional hazards model ,business.industry ,Cancer ,Reproducibility of Results ,medicine.disease ,Progression-Free Survival ,ErbB Receptors ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cohort ,Biomarker (medicine) ,Female ,medicine.symptom ,business - Abstract
Objective Cancer elicited inflammation is the main environmental cause leading to carcinogenesis and metastasis of non-small cell lung cancer (NSCLC). Roles of the inflammatory biomarker in predicting the clinical efficacy of tyrosine kinase inhibitor (TKI) and prognosis of naive patients with advanced NSCLC need to be determined, and the best inflammatory predicted biomarker remains unknown. Methods A total of 178 eligible advanced NSCLC patients (124 and 54 cases within discovery and validation cohorts, respectively) who received first-line EGFR-TKI between July of 2014 and October of 2020 were enrolled in the present study. We detected circulating immune cell counting, albumin (Alb), pre-albumin (pAlb), ALP, AST, LDH, GGT, HDL-c, and fibrinogen (Fib) concentrations, and calculated 22 inflammatory ratios and scores. Logistic regression and Cox proportional hazards models were used to assess the impact of these ratios and scores on objective response and disease control rate (ORR and DCR) as well as progression-free survival (PFS) in these patients. Results Twenty-five percentage and 24.07% of NSCLC patients were observed objective response to the treatment of first-line EGFR-TKI in discovery and validation cohort, respectively. Univariate and multivariate Cox regression showed that high PLR, NPS, SII, SIS, mSIS, GLR and FPR as well as low PNI were significantly associated with poor PFS in discovery cohort. However, only high SII and FPR were found to be associated with unsatisfactory outcome in validation cohort. Time-dependent areas under ROC of FPR were 0.702 (0.517–0.888) in discovery cohort, and 0.767 (0.613–0.921) in validation cohort, which were extremely higher than the other biomarkers. The patients with FPR-SII combined score 2 harbored worse prognosis compared to the combined score 0 in discovery (plog-rank = 0.003, adjusted HR = 2.888, 95%CI = 1.500–5.560) and validation cohort (plog-rank = 0.001, adjusted HR = 3.769, 95%CI = 1.676–8.478) as well as overall population (plog-rank Conclusions High-grade cancer elicited inflammation could attenuates response and outcome in tyrosine kinase inhibitor naive patients with advanced NSCLC. FPR-SII combined score was the best inflammatory biomarker to monitor and predict the progression of advanced NSCLC patients with treatment of TKI.
- Published
- 2021