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

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 neu...

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Veröffentlicht in:Cancers 2021-08, Vol.13 (17), p.4311
Hauptverfasser: Lazic, Daria, Kromp, Florian, Rifatbegovic, Fikret, Repiscak, Peter, Kirr, Michael, Mivalt, Filip, Halbritter, Florian, Bernkopf, Marie, Bileck, Andrea, Ussowicz, Marek, Ambros, Inge M, Ambros, Peter F, Gerner, Christopher, Ladenstein, Ruth, Ostalecki, Christian, Taschner-Mandl, Sabine
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container_end_page
container_issue 17
container_start_page 4311
container_title Cancers
container_volume 13
creator Lazic, Daria
Kromp, Florian
Rifatbegovic, Fikret
Repiscak, Peter
Kirr, Michael
Mivalt, Filip
Halbritter, Florian
Bernkopf, Marie
Bileck, Andrea
Ussowicz, Marek
Ambros, Inge M
Ambros, Peter F
Gerner, Christopher
Ladenstein, Ruth
Ostalecki, Christian
Taschner-Mandl, Sabine
description 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.
doi_str_mv 10.3390/cancers13174311
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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. 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source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; PubMed Central Open Access
subjects Antibodies
Automation
Biomarkers
Bone cancer
Bone composition
Bone imaging
Bone marrow
Cancer therapies
Cartography
Chemotherapy
Children
Data mining
Genomes
Genomics
Image processing
Immune response
Inflammation
Leukocytes (neutrophilic)
Ligands
Metastases
Metastasis
Microenvironments
Neuroblastoma
Patients
RNA
Transcriptomes
Tumor cells
Tumors
title Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging
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