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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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. 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.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers13174311</identifier><identifier>PMID: 34503120</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>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</subject><ispartof>Cancers, 2021-08, Vol.13 (17), p.4311</ispartof><rights>COPYRIGHT 2021 MDPI AG</rights><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c488t-7112b037f1634356b5276447c256a6bbcde8a8a072df59d94801bab3414128343</citedby><cites>FETCH-LOGICAL-c488t-7112b037f1634356b5276447c256a6bbcde8a8a072df59d94801bab3414128343</cites><orcidid>0000-0002-5507-7211 ; 0000-0002-7053-8856 ; 0000-0001-5725-4835 ; 0000-0003-4964-0642 ; 0000-0003-2452-4784 ; 0000-0003-4557-5652 ; 0000-0002-1439-5301 ; 0000-0002-8793-6885 ; 0000-0002-6676-0497 ; 0000-0002-0693-9495</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431445/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431445/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34503120$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lazic, Daria</creatorcontrib><creatorcontrib>Kromp, Florian</creatorcontrib><creatorcontrib>Rifatbegovic, Fikret</creatorcontrib><creatorcontrib>Repiscak, Peter</creatorcontrib><creatorcontrib>Kirr, Michael</creatorcontrib><creatorcontrib>Mivalt, Filip</creatorcontrib><creatorcontrib>Halbritter, Florian</creatorcontrib><creatorcontrib>Bernkopf, Marie</creatorcontrib><creatorcontrib>Bileck, Andrea</creatorcontrib><creatorcontrib>Ussowicz, Marek</creatorcontrib><creatorcontrib>Ambros, Inge M</creatorcontrib><creatorcontrib>Ambros, Peter F</creatorcontrib><creatorcontrib>Gerner, Christopher</creatorcontrib><creatorcontrib>Ladenstein, Ruth</creatorcontrib><creatorcontrib>Ostalecki, Christian</creatorcontrib><creatorcontrib>Taschner-Mandl, Sabine</creatorcontrib><title>Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><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.</description><subject>Antibodies</subject><subject>Automation</subject><subject>Biomarkers</subject><subject>Bone cancer</subject><subject>Bone composition</subject><subject>Bone imaging</subject><subject>Bone marrow</subject><subject>Cancer therapies</subject><subject>Cartography</subject><subject>Chemotherapy</subject><subject>Children</subject><subject>Data mining</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Image processing</subject><subject>Immune response</subject><subject>Inflammation</subject><subject>Leukocytes (neutrophilic)</subject><subject>Ligands</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Microenvironments</subject><subject>Neuroblastoma</subject><subject>Patients</subject><subject>RNA</subject><subject>Transcriptomes</subject><subject>Tumor 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therapies</topic><topic>Cartography</topic><topic>Chemotherapy</topic><topic>Children</topic><topic>Data mining</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Image processing</topic><topic>Immune response</topic><topic>Inflammation</topic><topic>Leukocytes (neutrophilic)</topic><topic>Ligands</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Microenvironments</topic><topic>Neuroblastoma</topic><topic>Patients</topic><topic>RNA</topic><topic>Transcriptomes</topic><topic>Tumor cells</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lazic, Daria</creatorcontrib><creatorcontrib>Kromp, Florian</creatorcontrib><creatorcontrib>Rifatbegovic, Fikret</creatorcontrib><creatorcontrib>Repiscak, Peter</creatorcontrib><creatorcontrib>Kirr, Michael</creatorcontrib><creatorcontrib>Mivalt, Filip</creatorcontrib><creatorcontrib>Halbritter, Florian</creatorcontrib><creatorcontrib>Bernkopf, 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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. 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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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