Evidence map›Paper›PMID 39922800›Full record

Observational studyThe Journal of international medical research2025

Relationship between the ultrasound features of different molecular subtypes of breast cancer and positive PD-1/PD-L1 expression.

Ruiqian Yan, Haixia Li, Junxi Gao

Abstract readObservational Study
In one paragraph

Observational study in The Journal of international medical research, 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

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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

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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
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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

3 authors.

Ruiqian YanDepartment of Abdominal Ultrasound, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID 0009-0005-9534-2082
Haixia LiDepartment of Abdominal Ultrasound, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Junxi GaoDepartment of Abdominal Ultrasound, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID 0000-0001-8478-4532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze differences in programmed cell death protein 1/ligand 1 (PD-1/PD-L1) expression, as well as the relationships between ultrasound/contrast-enhanced ultrasound characteristics and PD-1/PD-L1 expression, among invasive breast cancer molecular subtypes.

methodsThe study included 172 invasive breast cancer patients with surgical resection and pathological confirmation at the First Affiliated Hospital of Xinjiang Medical University from June 2016 to April 2022. PD-1/PD-L1 expression was detected by immunohistochemistry. All patients underwent conventional ultrasound and some underwent contrast-enhanced ultrasound examination before resection.

resultsPD-1 and PD-L1 were expressed in 112 and 121 cases, respectively. The luminal B and HER-2 subtypes had the lowest and highest PD-1 expression rates, respectively. The luminal B and triple-negative subtypes had the lowest and highest PD-L1 expression rates, respectively. Among 112 PD-1-positive cases, most luminal B cases exhibited ill-defined margins, while distant metastasis was more common in triple-negative cases. Among 121 PD-L1-positive cases, many HER-2-positive and triple-negative cases presented as large masses (diameter ≥ 2 cm), while luminal B cases were more likely to show calcification. Most luminal B PD-L1-positive cases displayed indistinct margins on contrast-enhanced ultrasound.

conclusionsPD-1 expression differed among molecular subtypes of invasive breast cancer. Ultrasound/contrast-enhanced ultrasound features correlated with PD-1/PD-L1 expression in different breast cancer subtypes.

Indexed as

B7-H1 AntigenBiomarkers, TumorBreast NeoplasmsProgrammed Cell Death 1 ReceptorUltrasonographyContrast MediaFemaleHumansImmunohistochemistryB7-H1 AntigenBiomarkers, TumorCD274 protein, humanContrast MediaPDCD1 protein, humanProgrammed Cell Death 1 Receptorbreast cancercontrast-enhanced ultrasoundimmunotherapymolecular subtypeProgrammed cell death protein 1programmed death ligand 1ultrasound characteristic

Identifiers

PMID39922800
PMCPMC11807279

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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.