Spatial Distribution Of Immune Cells Drives Resistance To Neoadjuvant Chemotherapy In Triple-Negative Breast Cancer.
Benedetta DonatiFrancesca ReggianiFederica TorricelliGiacomo SantandreaTeresa RossiAlessandra BisagniElisa GaspariniAntonino NeriLaura CortesiGuglielmo FerrariGiancarlo BisagniMoira RagazziAlessia CiarrocchiPublished in: Cancer immunology research (2023)
Neoadjuvant chemotherapy (NAC) alone or combined with target therapies represents the standard of care for localized triple-negative breast cancer (TNBC). However, only a fraction of patients have a response, necessitating better understanding of the complex elements in the TNBC ecosystem that establish continuous and multidimensional interactions. Resolving such complexity requires new spatially-defined approaches. Here, we used spatial transcriptomics to investigate the multidimensional organization of TNBC at diagnosis and explore the contribution of each cell component to response to NAC. Starting from a consecutive retrospective series of TNBC cases we designed a case-control study including 24 TNBC patients of which 12 experienced a pathological complete response (pCR) and 12 no-response or progression (pNR) after NAC. Over 200 regions of interest (ROIs) were profiled. Our computational approaches described a model that recapitulates clinical response to therapy. The data were validated in an independent cohort of patients. Differences in the transcriptional program were detected in the tumor, stroma, and immune infiltrate comparing patients with a pCR with those with pNR. In pCR, spatial contamination between the tumor mass and the infiltrating lymphocytes was observed, sustained by a massive activation of Interferon-signaling. Conversely, pNR lesions displayed increased pro-angiogenetic signaling and oxygen-based metabolism. Only modest differences were observed in the stroma, revealing a topology-based functional heterogeneity of the immune infiltrate. Thus, spatial transcriptomics provides fundamental information on the multidimensionality of TNBC and allows an effective prediction of tumor behavior. These results open new perspectives for the improvement and personalization of therapeutic approaches to TNBCs.
Keyphrases
- neoadjuvant chemotherapy
- end stage renal disease
- chronic kidney disease
- ejection fraction
- single cell
- healthcare
- locally advanced
- prognostic factors
- peritoneal dialysis
- palliative care
- radiation therapy
- dendritic cells
- climate change
- patient reported
- deep learning
- cell therapy
- health insurance
- immune response
- peripheral blood
- pain management
- anti inflammatory
- replacement therapy