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The inflammation score predicts the prognosis of gastric cancer patients undergoing Da Vinci robot surgery

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A Correction to this article was published on 06 May 2024

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Abstract

Neutrophil-to-lymphocyte ratio (NLR), calculated from peripheral blood immune-inflammatory cell counts, is considered a predictor of survival in various cancers. Nevertheless, there is a lack of research into the predictive value of NLR specifically in gastric cancer patients following surgery using the Da Vinci robot. Investigate the objectives of this research, confirm the positive predictive value of NLR in the prognosis of gastric cancer patients undergoing Da Vinci robotic-assisted surgery by comparing its prognostic ability with other inflammation markers and tumor biomarkers. In this retrospective analysis, information from 128 individuals diagnosed with gastric cancer and treated with da Vinci robot-assisted surgery was examined. The study examined various markers in the peripheral blood, including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), systemic immune-inflammatory index (SII) prognostic nutrition index (PNI), cancer antigen 125 (CA125), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 72-4 (CA72-4), carcinoembryonic antigen (CEA) and alpha-fetoprotein (AFP).To ascertain the prognostic ability and optimal cutoff values of each parameter, operating characteristic curves and the area under the curve were utilized in the analysis. For evaluation of independent prognostic factors, we utilized Kaplan–Meier curves and multifactorial Cox analysis. The variables from the multifactorial Cox analysis were used to construct a nomogram. NLR, LMR, CEA, AFP, primary location, largest tumor size and TNM stage were all found to be significant predictive elements for overall survival (OS). Multivariate Cox identified NLR (P = 0.005), LMR (P = 0.03) and AFP (P = 0.007) as the only separate predictive variables among hematological indicators. The nomogram built using NLR demonstrates excellent predictive performance at 1 year (AUC = 0.778), 3 years (AUC = 0.773), and 5 years (AUC = 0.781). Cross-validation demonstrates that this model has favorable predictive performance and discriminative ability. NLR is an uncomplicated yet potent marker for forecasting the survival result of individuals with gastric cancer following da Vinci robotic surgery, and it possesses considerable predictive significance. The nomogram based on NLR provides patients with a visual and accurate prognosis prediction.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Xijing Hospital, Fourth Military Medical University, Department of Gastrointestinal Surgery, Xi’an, 710032, China

    Xihao Chen, Yichao Zhang, Zhiyu Liu & Jiawei Song

  2. Xi’an Medical University, Xi’an, 710068, China

    Xihao Chen, Zhiyu Liu, Jiawei Song & Jipeng Li

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Contributions

All authors contributed to the study conception and design. XC, YZ designed the study. XC, ZL, JS collected the data. XC, ZL, JS analyzed the data. XC, ZL, JS visualized the data. XC drafted the manuscript. PJ revised the manuscript.

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Correspondence to Jipeng Li.

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This is an observational study. The Xijing Hospital Ethics Committee has confirmed that no ethical approval is required.

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Chen, X., Zhang, Y., Liu, Z. et al. The inflammation score predicts the prognosis of gastric cancer patients undergoing Da Vinci robot surgery. J Robotic Surg 18, 131 (2024). https://doi.org/10.1007/s11701-024-01840-x

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