Evidence map›Paper›PMID 40703194›Full record

ArticleMedComm2025

A Phosphatidylinositol 3-Kinase Gamma Inhibitor Enhances Anti-Programmed Death-1/Programmed Death Ligand-1 Antitumor Effects by Remodeling the Tumor Immune Microenvironment of Ovarian Cancer.

Caixia Jiang, Rongyu Liu, Zhengyu Li

Abstract read
In one paragraph

Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Caixia JiangDepartment of Obstetrics and Gynecology West China Second University Hospital, Sichuan University Chengdu P. R. China.ORCID https://orcid.org/0009-0004-7718-9777
Rongyu LiuDepartment of Obstetrics and Gynecology West China Second University Hospital, Sichuan University Chengdu P. R. China.ORCID https://orcid.org/0000-0003-2181-2385
Zhengyu LiDepartment of Obstetrics and Gynecology West China Second University Hospital, Sichuan University Chengdu P. R. China.ORCID https://orcid.org/0000-0002-2295-2059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have shown that the effectiveness of immune checkpoint blockade in the treatment of ovarian cancer (OC) is poor. A promising small molecule inhibitor targeting phosphatidylinositol 3-kinase gamma (PI3Kγ) has recently been applied in combination with other drugs for tumor treatment. This study aimed to determine whether a PI3Kγ inhibitor can enhance the antitumor effects of anti-programmed death-1/programmed death ligand-1 (anti-PD-1/PD-L1) therapies in OC and to explore the underlying immunomolecular mechanism involved. Changes in the expression of PI3Kγ, PD-1, PD-L1, and tumor-associated macrophages (TAMs) during the progression of OC were detected in clinical tissue samples. We also constructed a coculture system of OC cells with lymphocytes for in vitro study, and a subcutaneous and intraperitoneal implantation OC mouse model was constructed for in vivo studies. OC is an immunosuppressed tumor with predominant infiltration of M2 throughout the entire disease course. We also found that a PI3Kγ inhibitor combined with anti-PD-1 therapy can enhance the antitumor effects of anti-PD-1 agents by modulating the PI3Kγ-AKT-NF-κB pathway, reprogramming TAMs, decreasing the number of myeloid-derived suppressor cells, increasing the number of CD8

Indexed as

anti‐programmed cell death protein 1/programmed death ligand 1 | ovarian cancer | phosphatidylinositol 3‐kinase gamma inhibitor | tumor‐associated macrophages | tumor immune microenvironment

Identifiers

PMID40703194
PMCPMC12284418

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.