Evidence mapPaperPMID 41315135Full record

ArticleDiscover oncology2025

Dexmedetomidine and dezocine targets (NR1H3 and ADRB1) are potential prognostic biomarkers for breast cancer.

Shaochun Zhang, Fang Yuan, Jing Ke

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Shaochun Zhang *Department of Orthopedics, Ezhou Central Hospital, Ezhou, Hubei, China. sczhangdoctor@126.com.
Fang Yuan *Department of Anesthesiology, Ezhou Central Hospital, Ezhou, Hubei, China.
Jing KeDepartment of Endocrinology, Ezhou Central Hospital, Ezhou, Hubei, China.

Funding

Hubei Ezhou Science and Technology Project EZ01-002-20210114Natural Science Foundation of Hubei Province 2022CFB077
6 · The paper itself

Abstract

Breast cancer (BRCA) is a prevalent malignant tumor among women, and the use of anesthetic drugs during surgical resection may influence tumor biology and patient prognosis. This study aimed to identify prognostic biomarkers associated with dexmedetomidine and dezocine (DD) in BRCA patients. Through Mendelian Randomization analysis, we screened four DD targets that had a causal relationship with BRCA. Subsequently, utilizing TCGA-BRCA data, univariate and Lasso Cox analyses revealed two significant prognostic biomarkers (NR1H3 and ADRB1) associated with BRCA patient prognosis, leading to the successful construction and validation of a prognostic risk model. Kaplan-Meier survival curves indicated that patients with higher NR1H3 and ADRB1 expression had longer overall survival (OS). Immunoinfiltration analysis showed that high-risk group patients exhibited increased infiltration levels of CD56 bright natural killer cells, CD56 dim natural killer cells, eosinophils, and plasmacytoid dendritic cells. Conversely, activated B cells and immature B cells demonstrated greater infiltration in the low-risk group. Correlation analysis revealed significant associations between prognostic biomarkers and various immune cells, including CD56 bright natural killer cells, CD56 dim natural killer cells, and activated CD8 T cells. NR1H3 was highly positively correlated with immune checkpoints such as TIGIT, PDCD1, CD274, CTLA4, LAG3, and HAVCR2 (|cor|≥0.3, P < 0.05). Immunohistochemistry images and Transcripts Per Million values from the Human Protein Atlas database confirmed that NR1H3 and ADRB1 expression levels were significantly higher in normal tissues compared to BRCA tissues. Our results suggest that target genes of anesthetic drugs (NR1H3, ADRB1) may be involved in BRCA prognosis.

Indexed as

BiomarkersBRCADexmedetomidine and dezocineImmunoinfiltrationMRPrognostic risk model

Identifiers

PMID41315135
PMCPMC12753599

What Socratic holds

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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 Socratic graph.