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Retrospective Study
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Oct 27, 2025; 17(10): 109700
Published online Oct 27, 2025. doi: 10.4240/wjgs.v17.i10.109700
Retrospective analysis of predictive factors for pathological complete response after neoadjuvant chemotherapy in gastric cancer
Bo Bi, Chen Liu, Jie Chai, Yun-Ming Duan
Bo Bi, Jie Chai, Department of Gastroenterological Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong Province, China
Chen Liu, Comprehensive Ward, Tai’an Central Hospital Gaoxin Hospital District Comprehensive Ward (Healthcare Ward), Tai’an 271000, Shandong Province, China
Yun-Ming Duan, School of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an 271000, Shandong Province, China
Author contributions: Bi B conceived the study, collected and analyzed data, and drafted the manuscript; Liu C and Chai J contributed to data collection, statistical analysis, and manuscript revision; Duan YM supervised the study, provided critical revision, and approved the final manuscript; and all authors read and approved the final version.
Institutional review board statement: This study was approved by the Medical Ethics Committee of Shandong Cancer Hospital and Institute, Shandong First Medical University, approval No. SDTHEC2024003103.
Informed consent statement: Informed consent was waived due to the retrospective design and the use of anonymized data.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data supporting the findings of this study are available from the corresponding author upon reasonable request.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yun-Ming Duan, PhD, School of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, No. 619 Changcheng Road, Tai’an 271000, Shandong Province, China. dymin2019@163.com
Received: June 24, 2025
Revised: July 30, 2025
Accepted: August 21, 2025
Published online: October 27, 2025
Processing time: 121 Days and 17.8 Hours
Abstract
BACKGROUND

Gastric cancer is a malignant tumor with high morbidity and mortality worldwide. Neoadjuvant chemotherapy (NAC), defined as chemotherapy administered before the primary treatment (usually surgery) to reduce tumor size and control micrometastases, has emerged as a crucial therapeutic strategy for locally advanced gastric cancer. Pathological complete response (pCR), characterized by the absence of viable tumor cells in the resected specimen after neoadjuvant treatment, is recognized as a strong predictor of favorable prognosis. However, the factors influencing the achievement of pCR remain incompletely understood.

AIM

To identify and analyze the predictive factors associated with achieving pCR after NAC in gastric cancer patients, thereby providing evidence-based guidance for clinical decision-making.

METHODS

A retrospective analysis was performed on 215 patients from Shandong Cancer Hospital and Tai’an Central Hospital with locally advanced gastric cancer who underwent NAC followed by radical surgery at our hospital between January 2015 and December 2023. Comprehensive clinical and pathological data were collected, including age, gender, tumor location, Lauren classification, clinical staging, chemotherapy regimens, number of chemotherapy cycles, and baseline hematological indicators. The baseline hematological indicators included neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, albumin level, carcinoembryonic antigen (CEA), and carbohydrate antigen 19-9. Univariate and multivariate logistic regression analyses were employed to determine the independent predictive factors for pCR.

RESULTS

Among 215 gastric cancer patients, 41 (19.1%) achieved pCR after NAC. Multivariate analysis identified five independent predictive factors for pCR: Lauren intestinal type [odds ratio (OR) = 3.28], lower clinical T stage (OR = 2.75), CEA decrease ≥ 70% after NAC (OR = 3.42), pre-treatment NLR < 2.5 (OR = 2.13), and ≥ 4 chemotherapy cycles (OR = 2.87). The fluorouracil, leucovorin, oxaliplatin, docetaxel regimen achieved the highest pCR rate (27.5%), and oxaliplatin-containing regimens were superior to cisplatin-containing regimens (22.3% vs 12.7%, P = 0.034). Patients with both low NLR and platelet-to-lymphocyte ratio had the highest pCR rate (33.8%), while those with both high inflammatory markers had the lowest rate (10.7%). Earlier clinical stage disease (cT3N+ vs cT4N+: 28.6% vs 13.0%) and lower lymph node burden were associated with higher pCR rates.

CONCLUSION

The achievement of pCR after NAC in gastric cancer patients is closely associated with Lauren intestinal type, lower clinical T stage, a significant decrease in CEA after chemotherapy, low pre-treatment NLR, and an adequate number of chemotherapy cycles.

Keywords: Gastric cancer; Neoadjuvant chemotherapy; Pathological complete response; Predictive factor

Core Tip: This study included patients with pathologically confirmed gastric adenocarcinoma who received neoadjuvant chemotherapy and completed radical gastrectomy + D2 dissection. Unified tumor regression grade assessment defines pathological complete response as the absence of residual primary tumor and lymph node metastasis. The system collected demographic data, comorbidities, tumor location and clinical stage, Lauren classification, human epidermal growth factor receptor 2/microsatellite instability/programmed death-ligand 1, baseline and dynamic laboratory indicators imaging and endoscopic responses, chemotherapy regimens/cycles/dose intensities and adverse reactions. With pathological complete responses the primary outcome, univariate and multivariate logistic regression were used to screen independent predictors.