Evidence map›Paper›PMID 39995833›Full record

ArticleFrontiers in oncology2025

Carcinoembryonic antigen trajectory predicts pathological complete response in advanced gastric cancer after neoadjuvant chemotherapy.

Yonghe Chen, Dan Liu, Kaikai Wei, Yi Lin, Zhong Wang, Qian Sun, Huashe Wang, Junsheng Peng, Lei Lian

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. [Reflections on surgical management strategies for locally advanced gastric cancer after neoadjuvant immunotherapy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yonghe Chen *Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Dan Liu *Department of Laboratory Science, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Kaikai WeiDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yi LinDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhong WangSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Qian SunSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Huashe WangDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Junsheng PengDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lei LianDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study aims to develop a simple, clinically applicable classification system to predict pCR based on carcinoembryonic antigen (CEA) trajectory during NAC. Methods: This study included 366 AGC patients who received NAC followed by radical gastrectomy. CEA levels were measured before, during, and after NAC, with changes classified into three trajectory types: Type I (>=80% decline), Type II (>=40% but <80% decline), and Type III (<40% decline or increase). We analyzed associations between these CEA trajectories, pCR, lymph node remission, and survival. Results: pCR was achieved in 10.4% (38/366) of patients. pCR rates were significantly higher in Type I (41%) and Type II (15.8%) trajectories compared to Type III (6.7%). Lymph node remission also correlated with CEA trajectories, with Type I having the highest proportion of ypN0 (79.2%). Multivariate analysis identified CEA trajectory subtypes and tumor differentiation as independent predictors of pCR. This classification system proved robust across subgroups. Although no significant differences in overall survival were observed between subtypes, higher initial CEA levels were associated with worse survival. Conclusion: The trajectory of CEA change during NAC is a promising predictor of pCR in AGC. This simple and accessible classification system may facilitate personalized surgical strategies for patients with AGC.

Indexed as

carcinoembryonic antigengastric cancerneoadjuvant chemotherapypathological complete responsetrajectory analysis (TA)

Identifiers

PMID39995833
PMCPMC11847669

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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.