Literature DB >> 30713595

Multidimensional intratumour heterogeneity in neuroblastoma.

Kristoffer von Stedingk1,2, David Gisselsson1,2, Daniel Bexell1,2.   

Abstract

Entities:  

Keywords:  clonal evolution; intratumour heterogeneity; neuroblastoma; patient-derived xenograft (PDX); pediatric cancer

Year:  2019        PMID: 30713595      PMCID: PMC6343759          DOI: 10.18632/oncotarget.26524

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


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Neuroblastoma (NB) is a solid childhood cancer originating from the sympathetic nervous system. Most NBs arise from the adrenal gland but metastases to distant sites such as bone marrow, liver and lungs are not uncommon. Despite intense treatment, including high-dose chemotherapy, many high-risk NBs relapse and treatment resistance is a significant clinical problem. NB is a heterogeneous disease, i.e., tumours display high inter-tumour heterogeneity. Recent findings also point to genetic intratumour heterogeneity (ITH) in NB, albeit lower than has been observed in other adult tumours. This can be a result of clonal evolution due to Darwinian selection among tumour cells [1]. It can also emerge in the absence of strong selection through the mechanism of genetic drift [2]. ITH is associated to progressive disease and treatment resistance, likely because of selection of treatment resistant clones [3]. There are different dimensions of genetic ITH in NB. Temporal genetic ITH has been observed when comparing treatment naïve and matched relapsed NBs. Relapsed NBs are enriched in mutations (e.g., in ALK, NRAS genes) predicted to activate the RAS-MAPK pathway, Hippo-YAP pathway and epithelial-mesenchymal processes [4, 5]. These findings open up opportunities for therapeutic targeting of relapsed NB. However, a druggable mutation detected only in a relapse, not in the corresponding primary tumour, is unlikely to be present in all neoplastic cells in the patient’s body; it will not be part of the “trunk” of the tumour’s phylogenetic tree. Hence targeting relapse-specific mutations may only provide temporary remission. Recent reports have also shown that a high proportion (> 90%) of primary NBs exhibit spatial genetic ITH, i.e. distinct tumour cell genotypes in different regions of the same tumour [6]. The fact that mutations present in the major clone at relapse have their origin in subclones of the primary tumour demonstrates that spatial and temporal ITH are intimately connected. This is also highlighted by the fact that relapse tumours per se frequently exhibit spatial genetic variation [6]. The fluctuating presence of clones over space and time in NB is complex, but may nevertheless be a result of a limited number of underlying principles. In fact, spatiotemporal clonal evolution in paediatric tumours appears to be accounted for by four distinct evolutionary trajectories, including (1) regional fluctuations of subclones, (2) subclones that coexist over vast anatomic space, (3) clonal sweeps, where one clone expands to outgrow all other clones in a region, and (4) so-called evolutionary explosions, a type of massive regional chromosomal instability triggered by inactivation of the p53 pathway. Of these, the presence in the primary tumour of the two latter trajectories are strong predictors of high-risk disease and inferior outcome in NB as well as other paediatric cancers [6]. This indicates that evolvability is a core component in the resilience of NB cells against oncological therapy. ITH is often described as genetic and functional differences across the neoplastic cells themselves, however heterogeneity of the tumour microenvironment is overlooked. Xenograft experiments using the same cell populations implanted in different environments display highly varying growth patterns. The same cells injected subcutaneously versus orthotopically display non-invasive localized tumour expansion versus metastatic spreading to distant organs, respectively [7]. This suggests that stromal composition plays an important role in regulating tumour cell behaviour. These observations are often conducted on a whole tumour-basis. Investigation into locoregional stromal ITH within a given tumour is also highly relevant and may play as important a role in tumour cell behaviour as the ITH of the tumour cells themselves. Indeed, it has been described that “undifferentiated” NB cells appear to locate themselves along vascularized niches within the tumours [8]. Delivery of oxygen to the tumour environment, a process largely controlled by the tumour stroma and vasculature, can lead to a hypoxic (shortage of oxygen) environment. This has been shown to dedifferentiate NB cells into a more immature stem cell-like state with increased aggressive characteristics [9]. In line with this, recent studies have also described multiple cell-type states of NB cells, termed mesenchymal (“undifferentiated”) and adrenergic, that exist within the same tumour. These cells are genetically identical however differ in their transcriptional and epigenetic landscape [10]. In a similar study conducted by Boeva et al. they again could identify subpopulations of tumour cells based on transcriptional and epigenetic diversity including sympathetic noradrenergic, neural-crest cell -like identity, and mixed-type [11]. Similar genetically identical, multi-differentiation state observations have also been made in melanoma, glioblastoma, lung cancer and breast cancer, amongst others, indicating the broad relevance of this phenomenon beyond just NB. Tumour cells in a mesenchymal state have been shown to be more chemo-resistant and are suggested as responsible for post-therapy relapse, pointing to clinically significant functional ITH in NB [10]. Mechanisms behind how these subtypes are selected for, however, remain elusive. It is likely that intratumour locoregional heterogeneity of the stroma may play a vital role in the regulation of the phenotype the tumour cells including their metastatic behaviour and response to therapy. Using patient-derived orthotopic xenograft (PDOX) models of NB, we recently described additional evidence of functional ITH in NB. By implanting multiple NB samples derived from a single tumour into ten mice, we uncovered clear differences in transcriptional profiles and divergent tumour growth rates in vivo. This is despite the tumours being genetically identical. Furthermore, ontology analysis revealed differences in genes regulating neuronal/mesenchymal phenotypes as well as stromal and angiogenic processes, again indicating the involvement of tumour-stromal interactions in the ITH observed in NB [12]. In summary, there are several dimensions of ITH in NB, including genetic and functional diversity of NB cells, as well as microenvironmental tumour heterogeneity, all of which can relate to progression and treatment response (Figure 1). Disentangling the interplay between these different ITH dimensions will be of utmost importance for improved preclinical modelling. ITH must also be considered during the design of novel therapeutic strategies for NB. For example, the finding of ITH for a number of clinical treatment biomarkers highlights the need to always base targeted treatment decisions on information from the latest available tumour biopsy from each patient.
Figure 1

Multidimensional intratumour heterogeneity in neuroblastoma

Within all solid tumours, including neuroblastoma, exists a complex composition of multiple cell types, which can differ genetically, functionally or environmentally. Multiple interactions between these cell types may influence their committed and/or plastic trajectories resulting in different cellular composition depending on where (spatially) or when (temporally) you examine the tumour. For example, one biopsy may show a “less aggressive” composition with mainly adrenergic tumour cells displaying numerical changes and a balanced stromal environment with a healthy level of immune infiltrate (top left). A different biopsy from the same patients from either a different region of the tumour (spatial variation), or a biopsy obtained at a later time point, for example after therapy, may display a “more aggressive” composition, with tumour cells that are phenotypically mesenchymal, harbouring structural genetic aberrations and an inhibited immune infiltration (bottom right). Along the axes of time and space, the heterogeneity and interplay between these cellular subtypes can vary, stressing the importance of considering multiple biopsies from the same patient as well as making sure that examined biopsies are temporally relevant for the patient in question. While spatial and temporal heterogeneity are the main axes on which all other heterogeneity changes and evolves, it should be noted that a temporal heterogeneity must stem from underlying spatial heterogeneity, while spatial heterogeneity require time to form. Investigating and understanding the complex interactions at play behind tumour heterogeneity will be essential for future pre-clinical modelling and therapy development. Single nucleotide variants (SNVs), although reported in neuroblastoma cases such as ALK-mutations, are relatively rare when compared to other cancers, and therefore only represent a small subset of the genetic heterogeneity within this schematic.

Multidimensional intratumour heterogeneity in neuroblastoma

Within all solid tumours, including neuroblastoma, exists a complex composition of multiple cell types, which can differ genetically, functionally or environmentally. Multiple interactions between these cell types may influence their committed and/or plastic trajectories resulting in different cellular composition depending on where (spatially) or when (temporally) you examine the tumour. For example, one biopsy may show a “less aggressive” composition with mainly adrenergic tumour cells displaying numerical changes and a balanced stromal environment with a healthy level of immune infiltrate (top left). A different biopsy from the same patients from either a different region of the tumour (spatial variation), or a biopsy obtained at a later time point, for example after therapy, may display a “more aggressive” composition, with tumour cells that are phenotypically mesenchymal, harbouring structural genetic aberrations and an inhibited immune infiltration (bottom right). Along the axes of time and space, the heterogeneity and interplay between these cellular subtypes can vary, stressing the importance of considering multiple biopsies from the same patient as well as making sure that examined biopsies are temporally relevant for the patient in question. While spatial and temporal heterogeneity are the main axes on which all other heterogeneity changes and evolves, it should be noted that a temporal heterogeneity must stem from underlying spatial heterogeneity, while spatial heterogeneity require time to form. Investigating and understanding the complex interactions at play behind tumour heterogeneity will be essential for future pre-clinical modelling and therapy development. Single nucleotide variants (SNVs), although reported in neuroblastoma cases such as ALK-mutations, are relatively rare when compared to other cancers, and therefore only represent a small subset of the genetic heterogeneity within this schematic.
  12 in total

1.  Intratumoral genome diversity parallels progression and predicts outcome in pediatric cancer.

Authors:  Linda Holmquist Mengelbier; Jenny Karlsson; David Lindgren; Anders Valind; Henrik Lilljebjörn; Caroline Jansson; Daniel Bexell; Noémie Braekeveldt; Adam Ameur; Tord Jonson; Hanna Göransson Kultima; Anders Isaksson; Jurate Asmundsson; Rogier Versteeg; Marianne Rissler; Thoas Fioretos; Bengt Sandstedt; Anna Börjesson; Torbjörn Backman; Niklas Pal; Ingrid Øra; Markus Mayrhofer; David Gisselsson
Journal:  Nat Commun       Date:  2015-01-27       Impact factor: 14.919

Review 2.  Hypoxia-induced dedifferentiation of tumor cells--a mechanism behind heterogeneity and aggressiveness of solid tumors.

Authors:  Håkan Axelson; Erik Fredlund; Marie Ovenberger; Göran Landberg; Sven Påhlman
Journal:  Semin Cell Dev Biol       Date:  2005-04-26       Impact factor: 7.727

3.  Relapsed neuroblastomas show frequent RAS-MAPK pathway mutations.

Authors:  Thomas F Eleveld; Derek A Oldridge; Virginie Bernard; Jan Koster; Léo Colmet Daage; Sharon J Diskin; Linda Schild; Nadia Bessoltane Bentahar; Angela Bellini; Mathieu Chicard; Eve Lapouble; Valérie Combaret; Patricia Legoix-Né; Jean Michon; Trevor J Pugh; Lori S Hart; JulieAnn Rader; Edward F Attiyeh; Jun S Wei; Shile Zhang; Arlene Naranjo; Julie M Gastier-Foster; Michael D Hogarty; Shahab Asgharzadeh; Malcolm A Smith; Jaime M Guidry Auvil; Thomas B K Watkins; Danny A Zwijnenburg; Marli E Ebus; Peter van Sluis; Anne Hakkert; Esther van Wezel; C Ellen van der Schoot; Ellen M Westerhout; Johannes H Schulte; Godelieve A Tytgat; M Emmy M Dolman; Isabelle Janoueix-Lerosey; Daniela S Gerhard; Huib N Caron; Olivier Delattre; Javed Khan; Rogier Versteeg; Gudrun Schleiermacher; Jan J Molenaar; John M Maris
Journal:  Nat Genet       Date:  2015-06-29       Impact factor: 38.330

4.  Mutational dynamics between primary and relapse neuroblastomas.

Authors:  Alexander Schramm; Johannes Köster; Yassen Assenov; Kristina Althoff; Martin Peifer; Ellen Mahlow; Andrea Odersky; Daniela Beisser; Corinna Ernst; Anton G Henssen; Harald Stephan; Christopher Schröder; Lukas Heukamp; Anne Engesser; Yvonne Kahlert; Jessica Theissen; Barbara Hero; Frederik Roels; Janine Altmüller; Peter Nürnberg; Kathy Astrahantseff; Christian Gloeckner; Katleen De Preter; Christoph Plass; Sangkyun Lee; Holger N Lode; Kai-Oliver Henrich; Moritz Gartlgruber; Frank Speleman; Peter Schmezer; Frank Westermann; Sven Rahmann; Matthias Fischer; Angelika Eggert; Johannes H Schulte
Journal:  Nat Genet       Date:  2015-06-29       Impact factor: 38.330

5.  Neuroblastoma is composed of two super-enhancer-associated differentiation states.

Authors:  Tim van Groningen; Jan Koster; Linda J Valentijn; Danny A Zwijnenburg; Nurdan Akogul; Nancy E Hasselt; Marloes Broekmans; Franciska Haneveld; Natalia E Nowakowska; Johannes Bras; Carel J M van Noesel; Aldo Jongejan; Antoine H van Kampen; Linda Koster; Frank Baas; Lianne van Dijk-Kerkhoven; Margriet Huizer-Smit; Maria C Lecca; Alvin Chan; Arjan Lakeman; Piet Molenaar; Richard Volckmann; Ellen M Westerhout; Mohamed Hamdi; Peter G van Sluis; Marli E Ebus; Jan J Molenaar; Godelieve A Tytgat; Bart A Westerman; Johan van Nes; Rogier Versteeg
Journal:  Nat Genet       Date:  2017-06-26       Impact factor: 38.330

6.  Biologically relevant orthotopic neuroblastoma xenograft models: primary adrenal tumor growth and spontaneous distant metastasis.

Authors:  Chand Khanna; Jerry J Jaboin; Elias Drakos; Maria Tsokos; Carol J Thiele
Journal:  In Vivo       Date:  2002 Mar-Apr       Impact factor: 2.155

7.  High levels of HIF-2alpha highlight an immature neural crest-like neuroblastoma cell cohort located in a perivascular niche.

Authors:  A Pietras; D Gisselsson; I Ora; R Noguera; S Beckman; S Navarro; S Påhlman
Journal:  J Pathol       Date:  2008-03       Impact factor: 7.996

8.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

9.  Heterogeneity of neuroblastoma cell identity defined by transcriptional circuitries.

Authors:  Valentina Boeva; Caroline Louis-Brennetot; Agathe Peltier; Simon Durand; Cécile Pierre-Eugène; Virginie Raynal; Heather C Etchevers; Sophie Thomas; Alban Lermine; Estelle Daudigeos-Dubus; Birgit Geoerger; Martin F Orth; Thomas G P Grünewald; Elise Diaz; Bertrand Ducos; Didier Surdez; Angel M Carcaboso; Irina Medvedeva; Thomas Deller; Valérie Combaret; Eve Lapouble; Gaelle Pierron; Sandrine Grossetête-Lalami; Sylvain Baulande; Gudrun Schleiermacher; Emmanuel Barillot; Hermann Rohrer; Olivier Delattre; Isabelle Janoueix-Lerosey
Journal:  Nat Genet       Date:  2017-07-24       Impact factor: 38.330

10.  Identification of neutral tumor evolution across cancer types.

Authors:  Marc J Williams; Benjamin Werner; Chris P Barnes; Trevor A Graham; Andrea Sottoriva
Journal:  Nat Genet       Date:  2016-01-18       Impact factor: 38.330

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  2 in total

Review 1.  Immune profiling of pediatric solid tumors.

Authors:  Rachael L Terry; Deborah Meyran; David S Ziegler; Michelle Haber; Paul G Ekert; Joseph A Trapani; Paul J Neeson
Journal:  J Clin Invest       Date:  2020-07-01       Impact factor: 14.808

Review 2.  Hypoxia in the Initiation and Progression of Neuroblastoma Tumours.

Authors:  Carlos Huertas-Castaño; María A Gómez-Muñoz; Ricardo Pardal; Francisco M Vega
Journal:  Int J Mol Sci       Date:  2019-12-19       Impact factor: 5.923

  2 in total

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