Evidence map›Paper›PMID 39780116›Full record

ArticleBMC cancer2025

Correlation analysis of DLG5 and PD-L1 expression in triple-negative breast cancer.

Jingmin Che, Bo Chen, Xusheng Wang, Baoe Liu, Cuixiang Xu, Huxia Wang, Jingying Sun, Qing Feng, Xiangrong Zhao, Zhangjun Song

Abstract read
In one paragraph

Article in BMC cancer, 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. Article
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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

10 authors.

Jingmin Che *Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Bo Chen *Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Xusheng WangDepartment of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Baoe LiuDepartment of Emergency Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Cuixiang XuShaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Huxia WangDepartment of Breast Disease Center, Shaanxi Provincial Tumor Hospital, Xi'an, Shaanxi, China.
Jingying SunShaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Qing FengShaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Xiangrong ZhaoShaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Zhangjun SongShaanxi Engineering Research Center of Cell Immunology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China. songzhangjun2024@126.com.

Funding

Natural Science Basic Research Program of Shaanxi Province 2022JZ-57Open Funds for Shaanxi Provincial Key Laboratory of Infection and Immune Diseases 2022-KFZD-2Shaanxi Qinchuangyuan traditional Chinese medicine innovation research and development program 2022-QCYZH-004Technology Talent Support Program of Shaanxi Provincial People's Hospital 2021LJ-01
6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) is among the most aggressive forms of breast cancer, characterized by a dismal prognosis. In the absence of drug-targetable receptors, chemotherapy remains the sole systemic treatment alternative. Recent advancements in immunotherapy, particularly immune checkpoint inhibitors (ICIs) that target programmed death 1/programmed death ligand 1 (PD-1/PD-L1) and cytotoxic T lymphocyte associated antigen 4 (CTLA-4), have provided renewed optimism for the treatment of patients with TNBC. Prior research has indicated that the expression level of the cell polarity protein discs large homolog 5 (DLG5) correlates with the malignant progression and prognosis of breast cancer; nevertheless, its influence on PD-L1 expression and its function in immunotherapy for TNBC require further investigation.

methodsThe hypoxia cell model was established by simulating the cell hypoxic microenvironment in the human SUM159 and MDA-MB-231 cell lines using cobalt II chloride (CoCl

results(1) In vitro experiments, a cellular hypoxia model was effectively established utilizing 150 µM CoCl₂. Under these conditions, cell clone formation, invasiveness, and migration rate were all significantly inhibited. (2) The expression levels of DLG5 and PD-L1 were significantly increased in both MDA-MB-231 and SUM159 cells following treatment with 150 µM CoCl₂. (3) Silencing DLG5 resulted in a considerable upregulation of PD-L1 expression in MDA-MB-231 and SUM159 cells under normoxic circumstances, but it was markedly downregulated under hypoxic settings. Inhibition of PD-L1 expression resulted in a considerable increase in DLG5 expression under normoxic conditions, but it decreased under hypoxic conditions. Correlation research demonstrated an inverse association between the expression of DLG5 and PD-L1 in TNBC tissues.

conclusionThis study provides new theoretical evidence and potential therapeutic targets for the immunotherapy strategies of TNBC, holding significant clinical application value.

Indexed as

B7-H1 AntigenTriple Negative Breast NeoplasmsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsMembrane ProteinsTumor MicroenvironmentTumor Suppressor ProteinsB7-H1 AntigenCD274 protein, humanDLG5 protein, humanImmune Checkpoint InhibitorsMembrane ProteinsTumor Suppressor ProteinsCorrelationDiscs large homolog 5Hypoxia-inducible factor-1αProgrammed cell death-ligand 1Triple-negative breast cancer

Identifiers

PMID39780116
PMCPMC11708009

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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.