Evidence map›Paper›PMID 41178868›Full record

ArticleWorld journal of gastrointestinal surgery2025

Retrospective analysis of predictive factors for pathological complete response after neoadjuvant chemotherapy in gastric cancer.

Bo Bi, Chen Liu, Jie Chai, Yun-Ming Duan

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Article in World journal of gastrointestinal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Bo BiDepartment of Gastroenterological Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong Province, China.
Chen LiuComprehensive Ward, Tai'an Central Hospital Gaoxin Hospital District Comprehensive Ward (Healthcare Ward), Tai'an 271000, Shandong Province, China.
Jie ChaiDepartment of Gastroenterological Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong Province, China.
Yun-Ming DuanSchool of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271000, Shandong Province, China. dymin2019@163.com.

Funding

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6 · The paper itself

Abstract

backgroundGastric 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.

aimTo 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.

methodsA 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.

resultsAmong 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%

conclusionThe 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.

Indexed as

Gastric cancerNeoadjuvant chemotherapyPathological complete responsePredictive factor

Identifiers

PMID41178868
PMCPMC12576633

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.