Comparative omics reveals conserved extracellular matrix signatures during mammary tumor progression

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 in silico validation of conserved molecular signatures. Proteomic profiling identified 12 differentially expressed ECM-related proteins: eight were upregulated (COL12A1, COL4A1, COL4A2, SERPINH1, SERPINF1, HTRA1, TNC, PCOLCE) and four were downregulated (MMRN1, ABI3BP, DPT, OGN). The downregulated proteins were further validated in human breast cancer transcriptomes. Collectively, these findings indicate active ECM remodeling during tumor progression, characterized by increased expression of proteins associated with matrix stiffness and invasiveness. This study highlights evolutionarily conserved mechanisms of ECM dysregulation in breast cancer and identifies potential matrix targets for translational research and biomarker development.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-03-24
DOI
https://doi.org/10.3389/fonc.2026.1788746
Primary Topic
Cell Adhesion Molecules Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative omics reveals conserved extracellular matrix signatures during mammary tumor progression

Karine Araújo Damasceno, Dalila Lucíola Zanette, Gisele Vieira Rocha, Michel Batista et al.
Frontiers in Oncology
Cell Adhesion Molecules Research
article

Comparative omics reveals conserved extracellular matrix signatures during mammary tumor progression

Karine Araújo Damasceno, Dalila Lucíola Zanette, Gisele Vieira Rocha, Michel Batista, Alessandra Estrela-Lima, Bruno Sousa de Almeida, Simone Sant Anna Souza Nunes, Carlos Gustavo Regis-Silva
article en

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 in silico validation of conserved molecular signatures. Proteomic profiling identified 12 differentially expressed ECM-related proteins: eight were upregulated (COL12A1, COL4A1, COL4A2, SERPINH1, SERPINF1, HTRA1, TNC, PCOLCE) and four were downregulated (MMRN1, ABI3BP, DPT, OGN). The downregulated proteins were further validated in human breast cancer transcriptomes. Collectively, these findings indicate active ECM remodeling during tumor progression, characterized by increased expression of proteins associated with matrix stiffness and invasiveness. This study highlights evolutionarily conserved mechanisms of ECM dysregulation in breast cancer and identifies potential matrix targets for translational research and biomarker development.

Frontiers in OncologyVol. 16
Academic Hospital Paramaribo (SR), D’Or Institute for Research and Education (BR), Fundação Carlos Chagas (BR), Fundação Oswaldo Cruz (BR)
Good health and well-being
Openalex Percentile: Top 8%
Cell Adhesion Molecules Research
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