Evidence map›Paper›PMID 40266213›Full record

ReviewVaccines2025

Targeting PI3K Signaling to Overcome Tumor Immunosuppression: Synergistic Strategies to Enhance Cancer Vaccine Efficacy.

Ran Cui, Zhongxiang Luo, Xialin Zhang, Xinlin Yu, Gang Yuan, Xingming Li, Fei Xie, Ou Jiang

Abstract readReview
In one paragraph

Review in Vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
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  9. Review
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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

8 authors.

Ran CuiDepartment of Oncology, The First People's Hospital of Neijiang, Neijiang 641000, China.
Zhongxiang LuoDepartment of Oncology, Southwest Medical University, Luzhou 646000, China.
Xialin ZhangDepartment of Oncology, Southwest Medical University, Luzhou 646000, China.
Xinlin YuDepartment of Oncology, Affiliated Hospital of Chengdu University, Chengdu 610000, China.
Gang YuanDepartment of Interventional & Vascular, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou 646000, China.ORCID 0000-0001-8718-1606
Xingming LiDepartment of Oncology, The First People's Hospital of Neijiang, Neijiang 641000, China.
Fei XieDepartment of Oncology, The First People's Hospital of Neijiang, Neijiang 641000, China.
Ou JiangDepartment of Oncology, The First People's Hospital of Neijiang, Neijiang 641000, China.

Funding

Technology Department of Sichuan Provincial Science and Central Guidance Local Exploration Fund Project 24ZYZYTS0262
6 · The paper itself

Abstract

Phosphoinositide 3-kinases (PI3Ks), members of the lipid kinase family, play a significant role in modulating immune cell functions, including activation, proliferation, and differentiation. Recent studies have identified the PI3K signaling pathway as a key regulator in tumor biology and the immune microenvironment. This pathway enhances the activity of regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), contributing to an immunosuppressive tumor microenvironment that impairs the effectiveness of cancer vaccines and immunotherapies. The present study explores PI3K isoforms, particularly p110γ and p110δ, and their associated signaling pathways. The therapeutic potential of selective PI3K inhibitors and their capacity to act synergistically with immunization strategies are analyzed. Targeting the PI3K signaling pathway represents a promising approach to counteract tumor-induced immune suppression and improve the efficacy of immune checkpoint inhibitors and vaccines, ultimately leading to better clinical outcomes.

Indexed as

cancerPI3Kvaccine

Identifiers

PMID40266213
PMCPMC11946485

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.