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Spatial transcriptomics reveal pitfalls and opportunities for the detection of rare high-plasticity breast cancer subtypes

Spatial transcriptomics reveal pitfalls and opportunities for the detection of rare high-plasticity breast cancer subtypes

来源:bioRxiv_logobioRxiv
英文摘要

Abstract Breast cancer is one of the most prominent types of cancers, in which therapeutic resistance is still a major clinical hurdle. Specific subtypes like Claudin-low (CL) and metaplastic breast cancers (MpBC) have been associated with high non-genetic plasticity, which can facilitate resistance. The overlaps and differences between these orthogonal subtypes, respectively identified by molecular and histopathological analyses, are however still insufficiently characterised. Adequate methods to identify high-plasticity tumours to better anticipate resistance are furthermore still lacking. Here we analysed 11 triple negative breast tumours, including 3 CL and 4 MpBC samples, via high-resolution spatial transcriptomics. We combined pathological annotations and deconvolution approaches to precisely identify tumour spots, on which we performed signature enrichment, differential expression and copy-number analyses. We used the TCGA and CCLE public databases for external validation of expression markers. By levying spatial transcriptomics to focus analyses only to tumour cells in MpBC samples, and therefore bypassing the negative impact of stromal contamination, we could identify specific markers that are not expressed in other subtypes nor stromal cells. Three markers (BMPER, POPDC3 and SH3RF3) could furthermore be validated in external expression databases encompassing bulk tumour material and stroma-free cell lines. We find that existing bulk expression signatures of high-plasticity breast cancers are relevant in mesenchymal transdifferentiated compartments but can be hindered by stromal cell prevalence in tumour samples, negatively impacting their clinical applicability. Spatial transcriptomics analyses can however help identify more specific expression markers, and could thus enhance diagnosis and clinical care of rare high-plasticity breast cancers.

Tonon Laurie、Michallet Marie-C¨|cile、Caux Christophe、Puisieux Alain、Ouzounova Maria、Muller Lauriane、Martinez Pierre、Degletagne Cyril、Cockenpot Vincent、Coutant Ang¨¨le、Laurent Marie、Ardin Maude、Pommier Roxane、Morel Anne-Pierre、Saintigny Pierre

Universit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of Lyon||Plateforme de bioinformatique Gilles Thomas, Synergie Lyon Cancer, Centre L¨|on B¨|rardUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonCentre L¨|on B¨|rard||Institut Curie, PSL Research University||Chemical Biology of Cancer LaboratoryUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonDepartment of Pathology, Centre L¨|on B¨|rardUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of LyonCentre L¨|on B¨|rardUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of Lyon||Plateforme de bioinformatique Gilles Thomas, Synergie Lyon Cancer, Centre L¨|on B¨|rardUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of Lyon||Plateforme de bioinformatique Gilles Thomas, Synergie Lyon Cancer, Centre L¨|on B¨|rardCentre L¨|on B¨|rardUniversit¨| de Lyon, Universit¨| Claude Bernard Lyon 1, INSERM 1052, CNRS 5286 Centre L¨|on B¨|rard, Cancer Research Center of Lyon||Centre L¨|on B¨|rard||Department of Medical Oncology, Centre L¨|on B¨|rard

10.1101/2023.04.24.538061

肿瘤学医学研究方法分子生物学

Tonon Laurie,Michallet Marie-C¨|cile,Caux Christophe,Puisieux Alain,Ouzounova Maria,Muller Lauriane,Martinez Pierre,Degletagne Cyril,Cockenpot Vincent,Coutant Ang¨¨le,Laurent Marie,Ardin Maude,Pommier Roxane,Morel Anne-Pierre,Saintigny Pierre.Spatial transcriptomics reveal pitfalls and opportunities for the detection of rare high-plasticity breast cancer subtypes[EB/OL].(2025-03-28)[2025-04-30].https://www.biorxiv.org/content/10.1101/2023.04.24.538061.点此复制

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