Predictive Value of Immune Cells and Inflammatory Markers on the Efficacy of First-Line Chemo-therapy in Advanced Lung Cancer
[Objective]This study aims to explore the predictive value of T lymphocyte subsets,tumor-infiltra-ting lymphocytes(Tils),and inflammatory markers on the effectiveness of first-line chemotherapy in advanced lung cancer.[Methods]Serum levels of interleukin 1α(IL-1α),IL-6,IL-17,and interferon-gamma(INF-γ),as well as the proportions of T lymphocyte subsets including CD4+T cells,CD8+T cells,regulatory T cells,CD57+cells,Granzyme B+cells,and CD45RO+cells were measured in 98 newly diagnosed patients with stage Ⅲ/Ⅳ non-small cell lung adenocarcinoma.All patients received a chemotherapy regimen of paclitaxel injection and cisplatin for four cycles.Treatment effectiveness was assessed post-treatment,and patients were categorized into the responsive and non-responsive groups.Factors influencing the non-responsiveness and potential biomarkers for predicting treatment outcomes were analyzed.[Results]Out of 98 patients,69 were responsive to chemotherapy,while 29 were non-re-sponsive.Non-responsive patients had a higher proportion of lymph node metastasis,and higher levels of regulatory T cells and IL-1α expression(P＜0.05),while their proportions of CD57+and CD45RO+cells were lower than those in the responsive group(P＜0.05).Multivariate stepwise logistic regression analysis indicated that high lev-els of regulatory T cells and IL-1α were risk factors for ineffective chemotherapy response(P＜0.05),whereas CD57+and CD45RO+cells were protective factors(P＜0.05).Receiver operating characteristic(ROC)curve analysis showed sensitivities of 82.76％,86.21％,89.66％,and 93.10％for regulatory T cells,CD57+cells,CD45RO+cells,and IL-1α levels,respectively.The combined sensitivity,specificity,and area under the curve(AUC)of regulatory T cells,CD57+cells,CD45RO+cells,and IL-1α levels were 82.76％,97.10％,and 0.957,respectively.[Conclusion]T lymphocyte subsets,Tils,and inflammatory markers are closely related to the treat-ment outcomes of advanced lung cancer and can serve as sensitive indicators for predicting therapeutic efficacy.
万方数据
维普
