Evidence map›Paper›PMID 41142825›Full record

ArticleFrontiers in immunology2025

Multi-scale data reveal a CD24(+) MUCL1(+) tumor subgroup associated with unfavorable prognosis in ER+ breast cancer.

Yingxi Li, Junming Cao, Linyue Hai, Jing Zeng, Dongchen Tian, Yue Yu, Zhaohui Chen, Yao Tian

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yingxi Li *Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Junming Cao *The First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Linyue HaiThe First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Jing ZengDepartment of Thoracic Surgery, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Dongchen TianThe First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Yue YuThe First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Zhaohui ChenThe First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Yao TianThe First Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Breast cancer remains the leading cause of cancer-associated death for women globally. For the group of ER+ breast cancer patients, there are still some problems of poor prognosis that need to be solved. This study aims to identify the poor prognostic tumor subgroups for the prognostic stratification of ER+ patients. Methods: Through a comprehensive multi-omics strategy, we systematically characterized the biological and clinical significance of MUCL1+CD24+ cells in breast cancer, and we used multiplex immunohistochemistry to confirm the poor role of MUCL1+CD24+ cells. Results: Single-cell transcriptomics unraveled the cellular ontogeny and immune microenvironment interactions of this subset, while bulk RNA sequencing exposed significant pathway heterogeneity and differential immunotherapy responses associated with varying cellular abundance levels. Genomic landscape analysis pinpointed specific somatic mutations correlated with MUCL1(+) CD24(+) cell infiltration patterns, findings that were subsequently validated through multiplex immunohistochemistry to demonstrate strong prognostic value. Crucially, we developed a clinically translatable radiomics approach that successfully correlated specific MRI features with cellular prevalence, establishing a foundation for noninvasive detection of this aggressive cellular subpopulation. Conclusions: This integrative approach, spanning molecular to imaging analyses, provides novel insights into both the biological drivers and clinical implications of MUCL1(+) CD24(+) cells in breast cancer progression.

Indexed as

Biomarkers, TumorBreast NeoplasmsCD24 AntigenFemaleHumansMutationPrognosisReceptors, EstrogenSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorCD24 AntigenCD24 protein, humanReceptors, EstrogenER+ breast cancerMUCL1(+) CD24(+) cellsradiomicssingle-cell RNA sequencingtumor microenvironment

Identifiers

PMID41142825
PMCPMC12549584

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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.