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Spatial transcriptomics reveals substantial heterogeneity in triple-negative breast cancer with potential clinical implications.

par Wang, Xiaoxiao;Venet, David ;Lifrange, Frédéric;Larsimont, Denis ;Rediti, Mattia ;Stenbeck, Linnea;Dupont, Floriane ;Rouas, Ghizlane;Garcia, Andrea Joaquin;Craciun, Ligia;Buisseret, Laurence ;Ignatiadis, Michail ;Carausu, Marcela;Bhalla, Nayanika;Masarapu, Yuvarani;Villacampa, Eva Gracia;Franzén, Lovisa;Saarenpää, Sami;Kvastad, Linda;Thrane, Kim;Lundeberg, Joakim;Rothé, Françoise;Sotiriou, Christos
Référence Nature communications, 15, 1, page (10232)
Publication Publié, 2024-11

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Titre:	Spatial transcriptomics reveals substantial heterogeneity in triple-negative breast cancer with potential clinical implications.
Auteur:	Wang, Xiaoxiao; Venet, David; Lifrange, Frédéric; Larsimont, Denis; Rediti, Mattia; Stenbeck, Linnea; Dupont, Floriane; Rouas, Ghizlane; Garcia, Andrea Joaquin; Craciun, Ligia; Buisseret, Laurence; Ignatiadis, Michail; Carausu, Marcela; Bhalla, Nayanika; Masarapu, Yuvarani; Villacampa, Eva Gracia; Franzén, Lovisa; Saarenpää, Sami; Kvastad, Linda; Thrane, Kim; Lundeberg, Joakim; Rothé, Françoise; Sotiriou, Christos
Informations sur la publication:	Nature communications, 15, 1, page (10232)
Statut de publication:	Publié, 2024-11
Sujet CREF:	Sciences bio-médicales et agricoles
MeSH keywords:	Triple Negative Breast Neoplasms -- genetics -- pathology -- therapy
	Humans
	Female
	Tumor Microenvironment -- genetics -- immunology
	Transcriptome
	Gene Expression Regulation, Neoplastic
	Immunotherapy
	Gene Expression Profiling -- methods
	Middle Aged
	Tertiary Lymphoid Structures -- genetics -- pathology -- immunology
	Cluster Analysis
	Aged
	Adult
	Biomarkers, Tumor -- genetics -- metabolism
Langue:	Anglais
Identificateurs:	urn:issn:2041-1723
	info:doi/10.1038/s41467-024-54145-w
	info:pii/10.1038/s41467-024-54145-w
	info:pmid/39592577
	PMC11599601