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Chinese Archives of General Surgery(Electronic Edition) ›› 2021, Vol. 15 ›› Issue (04): 282-287. doi: 10.3877/cma.j.issn.1674-0793.2021.04.009

• Original Article • Previous Articles     Next Articles

Construction and validation of prediction model for pathological complete response of patients with advanced gastric cancer after neoadjuvant chemotherapy

Yun Zhang1, Ruikui Zhang1, Na Shi1, Xiaona Wang2, Tiantian Cao3, Dongyu Zhao1,()   

  1. 1. Department of Special Emergency Surgery, Special Medical Center of People’s Armed Police Force, Tianjin 300162, China
    2. Department of Surgery, Beijing Puren Hospital, Beijing 100623, China
    3. Department of No.3 Internal Medicine, Beijing General Team Hospital of People’s Armed Police Force, Beijing 100026, China
  • Received:2021-02-24 Online:2021-08-03 Published:2021-08-18
  • Contact: Dongyu Zhao

Abstract:

Objective

To analyze the influencing factors of pathological complete response (pCR) in patients with advanced gastric cancer (AGC) after neoadjuvant chemotherapy, and to construct a nomogram prediction model of pCR.

Methods

The clinical data of 249 patients with AGC admitted to Special Medical Center of Armed Police Force and Beijing General Team Hospital of People’s Armed Police Force fromJanuary 2012 to December 2019 were collected. Logistic regression analysis was used to determine the risk factors of pCR after neoadjuvant chemotherapy. Based on the risk factors, a nomogram model was constructed to predict pCR in patients with AGC after neoadjuvant chemotherapy, and Bootstrap method was used for internal validation.

Results

A total of 33 cases (13.25%) developed pCR after neoadjuvant chemotherapy. Multivariate logistic regression analysis showed that higher CEA level, higher lymphocyte proportion, lower monocyte count and lower tumor differentiation were the influencing factors of pCR in patients with AGC after neoadjuvant chemotherapy. The accuracy of the model was verified by Bootstrap method, the C-index was 0.819 (95% CI: 0.743-0.897).

Conclusion

The nomogram constructed in this study can be used to predict the pCR of neoadjuvant chemotherapy in patients with AGC, which is worthy of clinical promotion.

Key words: Gastric neoplasms, Neoadjuvant chemotherapy, Nomogram, Pathological complete remission

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