Evidence map›Paper›PMID 41979850›Full record

ArticleDiscover oncology2026

Integrative multi-omics analysis identifies PAICS as a key regulator of epithelial-mesenchymal transition in breast cancer metastasis.

Jian Guo, Lichao Cen, Xinye Qian, Shengban You

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

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

4 authors.

Jian GuoDepartment of Intensive Care Unit, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315041, Zhejiang, China.
Lichao CenDepartment of Cardiology, ingbo No.1 Hospital Longshan Hospital Medical and Health Group, Ningbo, 315311, Zhejiang, China.
Xinye QianDepartment of Intensive Care Unit, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315041, Zhejiang, China.
Shengban YouDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325016, Zhejiang, China. youshengban123@126.com.

Funding

Natural Science Funding of Wenzhou Science and Technology Bureau Y20220081Traditional Chinese Medicine Research Project of Zhejiang Provincial 2023ZL654
6 · The paper itself

Abstract

backgroundBreast cancer metastasis remains a major clinical challenge due to its complex molecular mechanisms, highlighting the need to identify key regulatory factors.

methodsMultiple breast cancer metastasis datasets were integrated to comprehensively identify metastasis-related genes. Differential expression analysis, weighted gene co-expression network analysis (WGCNA), and five machine learning algorithms were employed to screen for key candidate genes. Immune cell infiltration was assessed using the CIBERSORT algorithm, and miRNA expression profiles associated with lymph node metastasis were analyzed to construct potential regulatory networks. The biological functions of target genes were further verified through in vitro functional experiments.

resultsPAICS was identified as a metastasis-associated gene and was associated with patient survival in TCGA-BRCA. Its expression correlated with the infiltration of multiple immune cell subsets. Four metastasis-related miRNAs were involved in potential regulatory networks. Functional assays demonstrated that PAICS knockdown suppressed migration and invasion while increasing E-cadherin and decreasing N-cadherin and Vimentin expression.

conclusionsPAICS acts as a biomarker that promotes breast cancer metastasis by modulating epithelial-mesenchymal transition and the immune microenvironment, offering potential for clinical translation.

Indexed as

Breast cancer metastasisImmune infiltration analysisMachine learningMiRNA regulatory networkPAICS

Identifiers

PMID41979850
PMCPMC13201708

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