Evidence map›Paper›PMID 40608168›Full record

ArticleAnnals of surgical oncology2025

Neoadjuvant Treatment Based on Gastric Cancer Molecular Subtyping: Chemotherapy, Immunotherapy, or Targeted Therapy?-A Retrospective Analysis.

Hua-Long Zheng, Li-Li Shen, Qiao-Ling Zheng, Jian-Xian Lin, Chang-Ming Huang, Zheng-Deng Lei, Chao-Hui Zheng

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Hua-Long Zheng *Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Li-Li Shen *Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Qiao-Ling Zheng *Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.
Jian-Xian LinDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Chang-Ming HuangDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Zheng-Deng LeiUniversity of Illinois at Chicago, Chicago, IL, USA. leizhengdeng@gmail.com.
Chao-Hui ZhengDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China. wwkzch@163.com.ORCID http://orcid.org/0000-0001-8680-3127

Funding

Fujian Provincial Medical 'Dual High' Construction Fund Support (MWB Health [2021] No. 76)Joint Funds for the innovation of Science and Technology [2023Y9161]Supported by Fujian Provincial Natural Science Foundation of China [2024J01586]
6 · The paper itself

Abstract

backgroundThis study aimed to identify the most effective drug therapeutics for patients with the mesenchymal subtype of advanced gastric cancer (AGC). Extensive research employing diverse omics methodologies has unveiled a varied landscape of AGC. Recent progress in next-generation sequencing and other genomic technologies has facilitated a more intricate exploration of AGC at the molecular level. Nonetheless, the optimal treatment for patients with the mesenchymal subtype of gastric cancer remains elusive. Lei's molecular classification of AGC is based on gene expression profiles named "mesenchymal," "immunogenic," "classical," and "metabolic." PATIENTS AND

methodsBased on RNA-seq transcriptome, 234 patients were divided into four molecular subtypes: mesenchymal (n = 96), immunogenic (n = 37), metabolic (n = 61), and classic (n = 40).

resultsAmong those with mesenchymal-subtype AGC, compared with non-Apatinib group, the Apatinib treatment group demonstrated a significant increase in objective response rate (ORR 89.3% versus 69.3%, p = 0.038; odds ratio (OR) 0.269, 95% confidence interval (CI) (0.073-0.989)); overall survival (OS) 89.3% versus 60.2%, p = 0.010; hazard ratio (HR) 0.241, 95% CI (0.073-0.796)) and disease-free survival (DFS 78.6% versus 52.9%, p = 0.031; HR 0.400, 95% CI (0.167-0.956)). Furthermore, Apatinib significantly reduced the risk of death and recurrence in patients with mesenchymal subtype (OS: HR 0.129, 95% CI (0.030-0.563), p = 0.006; DFS: HR 0.340, 95% CI (0.138-0.833), p = 0.018). However, no significant differences were observed in the ORR, OS, or DFS between patients with metabolic and classical subtypes who underwent combination chemotherapy with additional Apatinib or camrelizumab.

conclusionsOur analysis has revealed that, for neoadjuvant therapy in AGC, the mesenchymal subtype stands out as the ideal patient population benefiting from Apatinib.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorImmunotherapyMolecular Targeted TherapyNeoadjuvant TherapyStomach NeoplasmsAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisPyridinesRetrospective StudiesapatinibBiomarkers, TumorPyridinesGastric cancerImmunotherapyMolecular subtypesNeoadjuvant-targeted therapyNext-generation sequencing

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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.