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Tumor to normal single-cell mRNA comparisons reveal a pan-neuroblastoma cancer cell

Gerda Kildisiute, Waleed M. Kholosy, Matthew D. Young and 36 more

Science Advances · 2021 · CC BY

doi:10.1101/2020.06.22.164301

Abstract

Neuroblastoma is a childhood cancer that resembles developmental stages of the neural crest. It is not established what developmental processes neuroblastoma cancer cells represent. Here, we sought to reveal the phenotype of neuroblastoma cancer cells by comparing cancer ( n = 19,723) with normal fetal adrenal single-cell transcriptomes ( n = 57,972). Our principal finding was that the neuroblastoma cancer cell resembled fetal sympathoblasts, but no other fetal adrenal cell type. The sympathoblastic state was a universal feature of neuroblastoma cells, transcending cell cluster diversity, individual patients, and clinical phenotypes. We substantiated our findings in 650 neuroblastoma bulk transcriptomes and by integrating canonical features of the neuroblastoma genome with transcriptional signals. Overall, our observations indicate that a pan-neuroblastoma cancer cell state exists, which may be attractive for novel immunotherapeutic and targeted avenues.

References 58

  1. 1.

    K. K. Matthay, J. M. Maris, G. Schleiermacher, A. Nakagawara, C. L. Mackall, L. Diller, W. A. Weiss, Neuroblastoma. Nat. Rev. Dis. Primers 2, 16078 (2016 ).

    Not in our library10.1038/nrdp.2016.78

  2. 2.

    A. Furlan, I. Adameyko, Schwann cell precursor: A neural crest cell in disguise? Dev. Biol. 444 ( suppl. 1), S25–S35 (2018 ).

    Not in our library10.1016/j.ydbio.2018.02.008

  3. 3.
  4. 4.

    S. B. Turkel, H. H. Itabashi, The natural history of neuroblastic cells in the fetal adrenal gland. Am. J. Pathol. 76, 225–244 (1974 ).

    Not in our library

  5. 5.

    M. M. van Noesel, Neuroblastoma stage 4S: A multifocal stem-cell disease of the developing neural crest. Lancet Oncol. 13, 229–230 (2012 ).

    Not in our library10.1016/s1470-2045(12)70012-8

  6. 6.

    M. D. Young, T. J. Mitchell, F. A. Vieira Braga, M. G. B. Tran, B. J. Stewart, J. R. Ferdinand, G. Collord, R. A. Botting, D.-M. Popescu, K. W. Loudon, R. Vento-Tormo, E. Stephenson, A. Cagan, S. J. Farndon, M. del Castillo Velasco-Herrera, C. Guzzo, N. Richoz, L. Mamanova, T. Aho, J. N. Armitage, A. C. P. Riddick, I. Mushtaq, S. Farrell, D. Rampling, J. Nicholson, A. Filby, J. Burge, S. Lisgo, P. H. Maxwell, S. Lindsay, A. Y. Warren, G. D. Stewart, N. Sebire, N. Coleman, M. Haniffa, S. A. Teichmann, M. Clatworthy, S. Behjati, Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors. Science 361, 594–599 (2018 ).

    Not in our library10.1126/science.aat1699

  7. 7.

    J. E. Heck, B. Ritz, R. J. Hung, M. Hashibe, P. Boffetta, The epidemiology of neuroblastoma: A review. Paediatr. Perinat. Epidemiol. 23, 125–143 (2009 ).

    Not in our library10.1111/j.1365-3016.2008.00983.x

  8. 8.

    A. Furlan, V. Dyachuk, M. E. Kastriti, L. Calvo-Enrique, H. Abdo, S. Hadjab, T. Chontorotzea, N. Akkuratova, D. Usoskin, D. Kamenev, J. Petersen, K. Sunadome, F. Memic, U. Marklund, K. Fried, P. Topilko, F. Lallemend, P. V. Kharchenko, P. Ernfors, I. Adameyko, Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla. Science 357, eaal3753 (2017 ).

    Not in our library10.1126/science.aal3753

  9. 9.

    R. Soldatov, M. Kaucka, M. E. Kastriti, J. Petersen, T. Chontorotzea, L. Englmaier, N. Akkuratova, Y. Yang, M. Häring, V. Dyachuk, C. Bock, M. Farlik, M. L. Piacentino, F. Boismoreau, M. M. Hilscher, C. Yokota, X. Qian, M. Nilsson, M. E. Bronner, L. Croci, W.-Y. Hsiao, D. A. Guertin, J.-F. Brunet, G. G. Consalez, P. Ernfors, K. Fried, P. V. Kharchenko, I. Adameyko, Spatiotemporal structure of cell fate decisions in murine neural crest. Science 364, eaas9536 (2019 ).

    Not in our library10.1126/science.aas9536

  10. 10.

    W. H. Chan, D. G. Gonsalvez, H. M. Young, E. M. Southard-Smith, K. N. Cane, C. R. Anderson, Differences in CART expression and cell cycle behavior discriminate sympathetic neuroblast from chromaffin cell lineages in mouse sympathoadrenal cells. Dev. Neurobiol. 76, 137–149 (2016 ).

    Not in our library10.1002/dneu.22304

  11. 11.
  12. 12.

    T. van Groningen, J. Koster, L. J. Valentijn, D. A. Zwijnenburg, N. Akogul, N. E. Hasselt, M. Broekmans, F. Haneveld, N. E. Nowakowska, J. Bras, C. J. M. van Noesel, A. Jongejan, A. H. van Kampen, L. Koster, F. Baas, L. van Dijk-Kerkhoven, M. Huizer-Smit, M. C. Lecca, A. Chan, A. Lakeman, P. Molenaar, R. Volckmann, E. M. Westerhout, M. Hamdi, P. G. van Sluis, M. E. Ebus, J. J. Molenaar, G. A. Tytgat, B. A. Westerman, J. van Nes, R. Versteeg, Neuroblastoma is composed of two super-enhancer-associated differentiation states. Nat. Genet. 49, 1261–1266 (2017 ).

    Not in our library10.1038/ng.3899

  13. 13.

    J. Mora, N. K. Cheung, G. Juan, P. Illei, I. Cheung, M. Akram, S. Chi, M. Ladanyi, C. Cordon-Cardo, W. L. Gerald, Neuroblastic and Schwannian stromal cells of neuroblastoma are derived from a tumoral progenitor cell. Cancer Res. 61, 6892–6898 (2001 ).

    Not in our library

  14. 14.

    T. J. Pugh, O. Morozova, E. F. Attiyeh, S. Asgharzadeh, J. S. Wei, D. Auclair, S. L. Carter, K. Cibulskis, M. Hanna, A. Kiezun, J. Kim, M. S. Lawrence, L. Lichenstein, A. McKenna, C. S. Pedamallu, A. H. Ramos, E. Shefler, A. Sivachenko, C. Sougnez, C. Stewart, A. Ally, I. Birol, R. Chiu, R. D. Corbett, M. Hirst, S. D. Jackman, B. Kamoh, A. H. Khodabakshi, M. Krzywinski, A. Lo, R. A. Moore, K. L. Mungall, J. Qian, A. Tam, N. Thiessen, Y. Zhao, K. A. Cole, M. Diamond, S. J. Diskin, Y. P. Mosse, A. C. Wood, L. Ji, R. Sposto, T. Badgett, W. B. London, Y. Moyer, J. M. Gastier-Foster, M. A. Smith, J. M. G. Auvil, D. S. Gerhard, M. D. Hogarty, S. J. M. Jones, E. S. Lander, S. B. Gabriel, G. Getz, R. C. Seeger, J. Khan, M. A. Marra, M. Meyerson, J. M. Maris, The genetic landscape of high-risk neuroblastoma. Nat. Genet. 45, 279–284 (2013 ).

    Not in our library10.1038/ng.2529

  15. 15.

    C. Wang, B. Gong, P. R. Bushel, J. Thierry-Mieg, D. Thierry-Mieg, J. Xu, H. Fang, H. Hong, J. Shen, Z. Su, J. Meehan, X. Li, L. Yang, H. Li, P. P. Łabaj, D. P. Kreil, D. Megherbi, S. Gaj, F. Caiment, J. van Delft, J. Kleinjans, A. Scherer, V. Devanarayan, J. Wang, Y. Yang, H. R. Qian, L. J. Lancashire, M. Bessarabova, Y. Nikolsky, C. Furlanello, M. Chierici, D. Albanese, G. Jurman, S. Riccadonna, M. Filosi, R. Visintainer, K. K. Zhang, J. Li, J. H. Hsieh, D. L. Svoboda, J. C. Fuscoe, Y. Deng, L. Shi, R. S. Paules, S. S. Auerbach, W. Tong, The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance. Nat. Biotechnol. 32, 926–932 (2014 ).

    Not in our library10.1038/nbt.3001

  16. 16.

    E. K. Barr, M. A. Applebaum, Genetic predisposition to neuroblastoma. Children 5, 119 (2018 ).

    Not in our library10.3390/children5090119

  17. 17.

    T. Terzic, M. Cordeau, S. Herblot, P. Teira, S. Cournoyer, M. Beaunoyer, M. Peuchmaur, M. Duval, H. Sartelet, Expression of disialoganglioside (GD2) in neuroblastic tumors: A prognostic value for patients treated with anti-GD2 immunotherapy. Pediatr. Dev. Pathol. 21, 355–362 (2017 ).

    Not in our library10.1177/1093526617723972

  18. 18.

    P. Depuydt, J. Koster, V. Boeva, T. D. Hocking, F. Speleman, G. Schleiermacher, K. de Preter, Meta-mining of copy number profiles of high-risk neuroblastoma tumors. Sci. Data 5, 180240 (2018 ).

    Not in our library10.1038/sdata.2018.240

  19. 19.
  20. 20.
  21. 21.
  22. 22.

    A. Schramm, J. H. Schulte, L. Klein-Hitpass, W. Havers, H. Sieverts, B. Berwanger, H. Christiansen, P. Warnat, B. Brors, J. Eils, R. Eils, A. Eggert, Prediction of clinical outcome and biological characterization of neuroblastoma by expression profiling. Oncogene 24, 7902–7912 (2005 ).

    Not in our library10.1038/sj.onc.1208936

  23. 23.

    G. Oliver, A. Mailhos, R. Wehr, N. G. Copeland, N. A. Jenkins, P. Gruss, Six3, a murine homologue of the sine oculis gene, demarcates the most anterior border of the developing neural plate and is expressed during eye development. Development 121, 4045–4055 (1995 ).

    Not in our library10.1242/dev.121.12.4045

  24. 24.

    M. J. Muraro, G. Dharmadhikari, D. Grün, N. Groen, T. Dielen, E. Jansen, L. van Gurp, M. A. Engelse, F. Carlotti, E. J. P. de Koning, A. van Oudenaarden, A single-cell transcriptome atlas of the human pancreas. Cell Syst. 3, 385–394.e3 (2016 ).

    Not in our library10.1016/j.cels.2016.09.002

  25. 25.

    I. Kozarewa, Z. Ning, M. A. Quail, M. J. Sanders, M. Berriman, D. J. Turner, Amplification-free Illumina sequencing-library preparation facilitates improved mapping and assembly of (G+C)-biased genomes. Nat. Methods 6, 291–295 (2009 ).

    Not in our library10.1038/nmeth.1311

  26. 26.

    H. Li, R. Durbin, Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589–595 (2010 ).

    Not in our library10.1093/bioinformatics/btp698

  27. 27.

    P. Van Loo, S. H. Nordgard, O. C. Lingjærde, H. G. Russnes, I. H. Rye, W. Sun, V. J. Weigman, P. Marynen, A. Zetterberg, B. Naume, C. M. Perou, A.-L. Børresen-Dale, V. N. Kristensen, Allele-specific copy number analysis of tumors. Proc. Natl. Acad. Sci. U.S.A. 107, 16910–16915 (2010 ).

    Not in our library10.1073/pnas.1009843107

  28. 28.

    T. Candelli, P. Lijnzaad, M. J. Muraro, H. Kerstens, P. Kemmeren, A. van Oudenaarden, T. Margaritis, F. Holstege, Sharq, a versatile preprocessing and QC pipeline for single cell RNA-seq. bioRxiv 250811 [Preprint]. 19 January 2018..

    Not in our library10.1101/250811

  29. 29.
  30. 30.

    A. Butler, P. Hoffman, P. Smibert, E. Papalexi, R. Satija, Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411–420 (2018 ).

    Not in our library10.1038/nbt.4096

  31. 31.

    T. Stuart, A. Butler, P. Hoffman, C. Hafemeister, E. Papalexi, W. M. Mauck III, Y. Hao, M. Stoeckius, P. Smibert, R. Satija, Comprehensive integration of single-cell data. Cell 177, 1888–1902.e21 (2019 ).

    Not in our library10.1016/j.cell.2019.05.031

  32. 32.

    S. L. Wolock, R. Lopez, A. M. Klein, Scrublet: Computational identification of cell doublets in single-cell transcriptomic data. Cell Syst. 8, 281–291.e9 (2019 ).

    Not in our library10.1016/j.cels.2018.11.005

  33. 33.

    J. Batson, L. A. Royer, J. T. Webber, Molecular cross-validation for single-cell RNA-seq. bioRxiv 786269 [Preprint]. 30 September 2019..

    Not in our library10.1101/786269

  34. 34.

    L. McInnes, J. Healy, J. Melville, UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. arXiv:1802.03426v3 [stat.ML] (9 February 2018).

    Not in our library

  35. 35.

    M. D. Robinson, D. J. McCarthy, G. K. Smyth, edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010 ).

    Not in our library10.1093/bioinformatics/btp616

  36. 36.

    C. Trapnell, D. Cacchiarelli, J. Grimsby, P. Pokharel, S. Li, M. Morse, N. J. Lennon, K. J. Livak, T. S. Mikkelsen, J. L. Rinn, The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol. 32, 381–386 (2014 ).

    Not in our library10.1038/nbt.2859

  37. 37.

    X. Qiu, A. Hill, J. Packer, D. Lin, Y. A. Ma, C. Trapnell, Single-cell mRNA quantification and differential analysis with Census. Nat. Methods 14, 309–315 (2017 ).

    Not in our library10.1038/nmeth.4150

  38. 38.

    X. Qiu, Q. Mao, Y. Tang, L. Wang, R. Chawla, H. A. Pliner, C. Trapnell, Reversed graph embedding resolves complex single-cell trajectories. Nat. Methods 14, 979–982 (2017 ).

    Not in our library10.1038/nmeth.4402

  39. 39.

    G. La Manno, R. Soldatov, A. Zeisel, E. Braun, H. Hochgerner, V. Petukhov, K. Lidschreiber, M. E. Kastriti, P. Lönnerberg, A. Furlan, J. Fan, L. E. Borm, Z. Liu, D. van Bruggen, J. Guo, X. He, R. Barker, E. Sundström, G. Castelo-Branco, P. Cramer, I. Adameyko, S. Linnarsson, P. V. Kharchenko, RNA velocity of single cells. Nature 560, 494–498 (2018 ).

    Not in our library10.1038/s41586-018-0414-6

  40. 40.

    J. Friedman, T. Hastie, R. Tibshirani, Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 33, 1–22 (2010 ).

    Not in our library

  41. 41.

    K. M. Raine, P. Van Loo, D. C. Wedge, D. Jones, A. Menzies, A. P. Butler, J. W. Teague, P. Tarpey, S. Nik-Zainal, P. J. Campbell, ascatNgs: Identifying somatically acquired copy-number alterations from whole-genome sequencing data. Curr. Protoc. Bioinformatics 56, 15.9.1–15.9.17 (2016 ).

    Not in our library10.1002/cpbi.17

  42. 42.

    World Health Organization, International Classification of Diseases for Oncology (ICD-O) (World Health Organization, ed. 3, 2013).

    Not in our library

  43. 43.

    H. Li, A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27, 2987–2993 (2011 ).

    Not in our library10.1093/bioinformatics/btr509

  44. 44.

    Y. Benjamini, Y. Hochberg, Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. R. Stat. Soc. B. Methodol. 57, 289–300 (1995 ).

    Not in our library

  45. 45.

    1000 Genomes Project Consortium, A. Auton, L. D. Brooks, R. M. Durbin, E. P. Garrison, H. M. Kang, J. O. Korbel, J. L. Marchini, S. McCarthy, G. A. McVean, G. R. Abecasis, A global reference for human genetic variation. Nature 526, 68–74 (2015 ).

    Not in our library10.1038/nature15393

  46. 46.

    W. C. Aird, Phenotypic heterogeneity of the endothelium: II. Representative vascular beds. Circ. Res. 100, 174–190 (2007 ).

    Not in our library10.1161/01.res.0000255690.03436.ae

  47. 47.

    R. Nawroth, G. Poell, A. Ranft, S. Kloep, U. Samulowitz, G. Fachinger, M. Golding, D. T. Shima, U. Deutsch, D. Vestweber, VE-PTP and VE-cadherin ectodomains interact to facilitate regulation of phosphorylation and cell contacts. EMBO J. 21, 4885–4895 (2002 ).

    Not in our library10.1093/emboj/cdf497

  48. 48.

    V. G. Sankaran, S. H. Orkin, The switch from fetal to adult hemoglobin. Cold Spring Harb. Perspect. Med. 3, a011643 (2013 ).

    Not in our library10.1101/cshperspect.a011643

  49. 49.

    J. A. Donovan, G. A. Koretzky, CD45 and the immune response. J. Am. Soc. Nephrol. 4, 976–985 (1993 ).

    Not in our library10.1681/asn.v44976

  50. 50.

    D. M. Stocco, StAR protein and the regulation of steroid hormone biosynthesis. Annu. Rev. Physiol. 63, 193–213 (2001 ).

    Not in our library10.1146/annurev.physiol.63.1.193

  51. 51.

    M. A. Wood, A. Acharya, I. Finco, J. M. Swonger, M. J. Elston, M. D. Tallquist, G. D. Hammer, Fetal adrenal capsular cells serve as progenitor cells for steroidogenic and stromal adrenocortical cell lineages in M. musculus. Development 140, 4522–4532 (2013 ).

    Not in our library10.1242/dev.092775

  52. 52.

    A. Tokunaga, T. Oya, Y. Ishii, H. Motomura, C. Nakamura, S. Ishizawa, T. Fujimori, Y. I. Nabeshima, A. Umezawa, M. Kanamori, T. Kimura, M. Sasahara, PDGF receptor beta is a potent regulator of mesenchymal stromal cell function. J. Bone Miner. Res. 23, 1519–1528 (2008 ).

    Not in our library10.1359/jbmr.080409

  53. 53.

    H.-S. Kim, J. Lee, D. Y. Lee, Y. D. Kim, J. Y. Kim, H. J. Lim, S. Lim, Y. S. Cho, Schwann cell precursors from human pluripotent stem cells as a potential therapeutic target for myelin repair. Stem Cell Rep. 8, 1714–1726 (2017 ).

    Not in our library10.1016/j.stemcr.2017.04.011

  54. 54.

    M. E. Kastriti, P. Kameneva, D. Kamenev, V. Dyachuk, A. Furlan, M. Hampl, F. Memic, U. Marklund, F. Lallemend, S. Hadjab, L. Calvo-Enrique, P. Ernfors, K. Fried, I. Adameyko, Schwann cell precursors generate the majority of chromaffin cells in zuckerkandl organ and some sympathetic neurons in paraganglia. Front. Mol. Neurosci. 12, 6 (2019 ).

    Not in our library10.3389/fnmol.2019.00006

  55. 55.

    E. Di Zanni, G. Bianchi, R. Ravazzolo, L. Raffaghello, I. Ceccherini, T. Bachetti, Targeting of PHOX2B expression allows the identification of drugs effective in counteracting neuroblastoma cell growth. Oncotarget 8, 72133–72146 (2017 ).

    Not in our library10.18632/oncotarget.19922

  56. 56.

    L. Longo, S. Borghini, F. Schena, S. Parodi, D. Albino, T. Bachetti, L. da Prato, M. Truini, C. Gambini, G. P. Tonini, I. Ceccherini, P. Perri, PHOX2A and PHOX2B genes are highly co-expressed in human neuroblastoma. Int. J. Oncol. 33, 985–991 (2008 ).

    Not in our library

  57. 57.

    M. Schwab, J. Ellison, M. Busch, W. Rosenau, H. E. Varmus, J. M. Bishop, Enhanced expression of the human gene N-myc consequent to amplification of DNA may contribute to malignant progression of neuroblastoma. Proc. Natl. Acad. Sci. U.S.A. 81, 4940–4944 (1984 ).

    Not in our library10.1073/pnas.81.15.4940

  58. 58.

    N. E. Kohl, C. E. Gee, F. W. Alt, Activated expression of the N-myc gene in human neuroblastomas and related tumors. Science 226, 1335–1337 (1984 ).

    Not in our library10.1126/science.6505694

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