Evidence map›Paper›PMID 40977700›Full record

ReviewFrontiers in immunology2025

Multimodal therapeutic strategies against gastric cancer: from conventional treatments to tumor microenvironment targeting.

Xi Yuan, Changxian Chen, Yixuan Pang, Xuanzhi Wang, Tingting Yang, Anying Long, Na Liang, Ying Yang, Chunming Li

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Xi YuanDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Changxian ChenDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Yixuan PangDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Xuanzhi WangThe First Clinical Institute, Zunyi Medical University, Zunyi, Guizhou, China.
Tingting YangDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Anying LongDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Na LiangDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Ying YangDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.
Chunming LiDepartment of Pathology, Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most common malignant tumors of the digestive system, with persistently high global morbidity and mortality rates. The multi-level heterogeneity of the gastric cancer tumor immune microenvironment (TIME) is closely associated with treatment efficacy and prognosis. This heterogeneity is reflected not only in the types and functions of various cells within the microenvironment but also in multiple aspects such as molecular profiles, metabolic pathways, and the spatial distribution of tumor cells. Currently, the interaction between gastric cancer and its microenvironment, as well as the resulting immune evasion, has become a research hotspot. This article reviews the role of cellular heterogeneity and metabolic reprogramming in the gastric cancer Tumor Immune Microenvironment (TIME) in reshaping the immune microenvironment, and summarizes traditional therapies alongside existing and potential microenvironment-modulating treatment strategies.

Indexed as

Stomach NeoplasmsTumor MicroenvironmentAnimalsCombined Modality TherapyHumansImmunotherapygastric cancerheterogeneity of cell componentsimmunotherapymetabolic reprogrammingtumor immune microenvironment

Identifiers

PMID40977700
PMCPMC12443805

What OpenQuestion holds

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Registered trials

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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.