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Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging.

Authors :
Lazic D
Kromp F
Rifatbegovic F
Repiscak P
Kirr M
Mivalt F
Halbritter F
Bernkopf M
Bileck A
Ussowicz M
Ambros IM
Ambros PF
Gerner C
Ladenstein R
Ostalecki C
Taschner-Mandl S
Source :
Cancers [Cancers (Basel)] 2021 Aug 26; Vol. 13 (17). Date of Electronic Publication: 2021 Aug 26.
Publication Year :
2021

Abstract

While the bone marrow attracts tumor cells in many solid cancers leading to poor outcome in affected patients, comprehensive analyses of bone marrow metastases have not been performed on a single-cell level. We here set out to capture tumor heterogeneity and unravel microenvironmental changes in neuroblastoma, a solid cancer with bone marrow involvement. To this end, we employed a multi-omics data mining approach to define a multiplex imaging panel and developed DeepFLEX, a pipeline for subsequent multiplex image analysis, whereby we constructed a single-cell atlas of over 35,000 disseminated tumor cells (DTCs) and cells of their microenvironment in the metastatic bone marrow niche. Further, we independently profiled the transcriptome of a cohort of 38 patients with and without bone marrow metastasis. Our results revealed vast diversity among DTCs and suggest that FAIM2 can act as a complementary marker to capture DTC heterogeneity. Importantly, we demonstrate that malignant bone marrow infiltration is associated with an inflammatory response and at the same time the presence of immuno-suppressive cell types, most prominently an immature neutrophil/granulocytic myeloid-derived suppressor-like cell type. The presented findings indicate that metastatic tumor cells shape the bone marrow microenvironment, warranting deeper investigations of spatio-temporal dynamics at the single-cell level and their clinical relevance.

Details

Language :
English
ISSN :
2072-6694
Volume :
13
Issue :
17
Database :
MEDLINE
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
34503120
Full Text :
https://doi.org/10.3390/cancers13174311