Circulating tumor cell with neutrophil to lymphocyte ratio in predicting efficacy of advanced gastric cancer
Journal Title: Chinese Journal of Clinical Research - Year 2024, Vol 37, Issue 2
Abstract
<b>Objective</b> To investigate the predictive effect of circulating tumor cell (CTC) combined with neutrophil to lymphocyte ratio (NLR) on efficacy of advanced gastric cancer. <b>Methods</b> The clinicopathological data of 36 patients with advanced gastric cancer who received firstline treatment in Jiangning Hospital Affiliated to Nanjing Medical University and Jiangsu Cancer Hospital from June 2022 to January 2023 were collected. The optimal cutoff values of CTC and NLR were calculated using Xtile software, and the patients were divided into high CTC group (CTC>15, n=21) and low CTC group (CTC≤15, n=15), high NLR group (NLR>2.32, n=20) and low NLR group (NLR≤2.32, n=16). COX regression analysis and survival curve were used to analyze the relationship between CTC, NLR and progression free survival (PFS). Receiver operating characteristic (ROC) curves compared the predictive power of CTC, NLR, and the combination in predicting the outcome of advanced gastric cancer. <b>Results</b> Multivariate COX regression analysis showed that CTC (HR=7.441, P=0.045) and NLR (HR=4.690, P=0.011) were associated with PFS in patients with advanced gastric cancer. Patients in CTC group and low NLR group had longer PFS than those in high CTC group and high NLR group, respectively (P<0.01). Patients with both high CTC and high NLR had the shortest PFS (P<0.01). Compared with the singlefactor prediction, the combination of CTC and NLR predicted the efficacy of firstline treatment for advanced gastric cancer best (AUC=0.746). <b>Conclusion</b> CTC and NLR are independent prognostic factors affecting PFS in patients with advanced gastric cancer, and CTC combined with NLR can better predict the efficacy of advanced gastric cancer.
Authors and Affiliations
RUAN Luxi*, GUO Renhong, ZHANG Quan'an, LEI Jing, CHEN Meili, YANG Hui, YUAN Yihang, LI Huizi
Keywords
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- EP ID EP736513
- DOI 10. 13429/j.cnki.cjcr.2024.02.009
- Views 43
- Downloads 0
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