Evidence map›Paper›PMID 41952687›Full record

ArticleFrontiers in oncology2026

Comparative omics reveals conserved extracellular matrix signatures during mammary tumor progression.

Bruno Sousa de Almeida, Gisele Vieira Rocha, Simone Nunes, Dalila Luciola Zanette, Michel Batista, Alessandra Estrela-Lima, Carlos Gustavo Regis-Silva, Karine Araújo Damasceno

Abstract read
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Article in Frontiers in 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.

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0cells of the map it votes in
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

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

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

8 authors.

Bruno Sousa de AlmeidaLaboratory for Global Health Research and Neglected Diseases, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Fiocruz, Salvador, Bahia, Brazil.
Gisele Vieira RochaD'Or Institute for Research and Education (IDOR), Salvador, Brazil.
Simone NunesLaboratory for Global Health Research and Neglected Diseases, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Fiocruz, Salvador, Bahia, Brazil.
Dalila Luciola ZanetteLaboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation, Fiocruz, Curitiba, Paraná, Brazil.
Michel BatistaMass Spectrometry Platform, Carlos Chagas Institute (ICC), Fiocruz, Curitiba, Paraná, Brazil.
Alessandra Estrela-LimaResearch Center on Mammary Oncology/Hospital of Veterinary Medicine Professor Renato Medeiros Neto (NPqOM/HOSPMEV), Federal University of Bahia, Salvador, Bahia, Brazil.
Carlos Gustavo Regis-SilvaAdvanced Public Health Laboratory, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Fiocruz, Salvador, Bahia, Brazil.
Karine Araújo DamascenoLaboratory for Global Health Research and Neglected Diseases, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Fiocruz, Salvador, Bahia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extracellular matrix (ECM) plays a critical role in tumor progression by modulating cell adhesion, migration, and signaling; however, its contribution to metastatic progression in spontaneous mammary tumors remains poorly understood. Mammary tumors are among the most common neoplasms in female dogs and share histopathological and molecular similarities with human breast cancer, supporting their use as a comparative oncology model. To investigate ECM remodeling during tumor progression, we analyzed normal, non-metastatic, and metastatic canine mammary tissues using histological approaches and label-free quantitative proteomics. Publicly available human breast cancer transcriptomic datasets were interrogated for

Indexed as

Comparative oncologyextracellular matrixmammary tumorproteomicstumor progression

Identifiers

PMID41952687
PMCPMC13053510

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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.