Evidence map›Paper›PMID 40922505›Full record

ArticleFEBS letters2025

From lactation to malignancy: A comparison between healthy and cancerous breast gland at single-cell resolution reveals new issues for tumorigenesis.

Pietro Ancona, Carlo M Bergamini, Carlo Ferrari, Stefano Volinia, Nicoletta Bianchi

Abstract readComparative Study
In one paragraph

Article in FEBS letters, 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

5 authors.

Pietro AnconaDepartment of Translational Medicine, University of Ferrara, Italy.
Carlo M BergaminiDepartment of Neuroscience and Rehabilitation, University of Ferrara, Italy.
Carlo FerrariDepartment of Clinical and Molecular Sciences (DISCLIMO), School of Medicine and Surgery, Polytechnic University of Marche (UNIVPM), Ancona, Italy.
Stefano VoliniaDepartment of Translational Medicine, University of Ferrara, Italy.
Nicoletta BianchiDepartment of Translational Medicine, University of Ferrara, Italy.ORCID https://orcid.org/0000-0001-9280-6017

Funding

Nicoletta Bianchi: University of Ferrara FONDO DI ATENEO PER LA RICERCA SCIENTIFICA (FAR) 2024 application ID 1567224Poland's National Science Centre project OPUS 24 2022/47/B/NZ7/03418Polish NAWA Ulam Scholarship BPN/ULM/2021/1/00232Stefano Volinia: MUR PNRR National Center for HPC big data and quantum computing CN00000013 CN1
6 · The paper itself

Abstract

This study, based on datasets from healthy tissues, lactating mammary epithelial cells, and breast cancer phenotypes, investigates mammary gland pathophysiology at single-cell resolution to identify key regulators in breast cancer development and to gain a deeper understanding of its biology and heterogeneity. We suggest that antileukoproteinase (SLPI) has prognostic value associated with metastasis in basal breast cancers. Our analysis highlights the similarity between triple-negative breast cancer cells and mature luminal lactocytes, which share active regulons (SOX2, MTHFD1, POU4F3, and ZNF32), suggesting conserved molecular mechanisms. Among the differences, the absence of MALAT1 and NEAT1 lncRNAs in lactocytes correlates with loss of six transcription factors (EP300, ELF1, E2F3, BDP1, HOXC10, and KLF6). These findings provide insights into breast cancer and suggest new therapeutic targets.

Indexed as

Breast NeoplasmsCarcinogenesisLactationMammary Glands, HumanTriple Negative Breast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansRNA, Long NoncodingSingle-Cell AnalysisTranscription FactorsRNA, Long NoncodingTranscription Factorsbreast cancerlactocytesMALAT1mammary glandprognostic markerssingle‐cell RNA sequencingtranscription factorstranscriptomics

Identifiers

PMID40922505
PMCPMC12599593

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.