1. Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
2. Zhejiang Key Laboratory of Medical Epigenetics, Department of Cell Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China
3. Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
4. Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
zhaoqiang@tjmuch.com
zheliu@tmu.edu.cn
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History+
Received
Accepted
Published Online
2024-01-08
2024-04-18
2024-05-29
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Abstract
Neuroblastoma (NB) is one of the most common childhood malignancies. Sixty percent of patients present with widely disseminated clinical signs at diagnosis and exhibit poor outcomes. However, the molecular mechanisms triggering NB metastasis remain largely uncharacterized. In this study, we generated a transcriptomic atlas of 15 447 NB cells from eight NB samples, including paired samples of primary tumors and bone marrow metastases. We used time-resolved analysis to chart the evolutionary trajectory of NB cells from the primary tumor to the metastases in the same patient and identified a common ‘starter’ subpopulation that initiates tumor development and metastasis. The ‘starter’ population exhibited high expression levels of multiple cell cycle-related genes, indicating the important role of cell cycle upregulation in NB tumor progression. In addition, our evolutionary trajectory analysis demonstrated the involvement of partial epithelial-to-mesenchymal transition (p-EMT) along the metastatic route from the primary site to the bone marrow. Our study provides insights into the program driving NB metastasis and presents a signature of metastasis-initiating cells as an independent prognostic indicator and potential therapeutic target to inhibit the initiation of NB metastasis.
Zafar A, Wang W, Liu G, Wang X, Xian W, McKeon F, Foster J, Zhou J, Zhang R. Molecular targeting therapies for neuroblastoma: progress and challenges. Med Res Rev2021; 41(2): 961–1021
[2]
Furlan A, Adameyko I. Schwann cell precursor: a neural crest cell in disguise?. Dev Biol2018; 444(Suppl 1): S25–S35
[3]
Brodeur GM, Iyer R, Croucher JL, Zhuang T, Higashi M, Kolla V. Therapeutic targets for neuroblastomas. Expert Opin Ther Targets2014; 18(3): 277–292
[4]
Ackermann S, Cartolano M, Hero B, Welte A, Kahlert Y, Roderwieser A, Bartenhagen C, Walter E, Gecht J, Kerschke L, Volland R, Menon R, Heuckmann JM, Gartlgruber M, Hartlieb S, Henrich KO, Okonechnikov K, Altmüller J, Nürnberg P, Lefever S, de Wilde B, Sand F, Ikram F, Rosswog C, Fischer J, Theissen J, Hertwig F, Singhi AD, Simon T, Vogel W, Perner S, Krug B, Schmidt M, Rahmann S, Achter V, Lang U, Vokuhl C, Ortmann M, Büttner R, Eggert A, Speleman F, O’Sullivan RJ, Thomas RK, Berthold F, Vandesompele J, Schramm A, Westermann F, Schulte JH, Peifer M, Fischer M. A mechanistic classification of clinical phenotypes in neuroblastoma. Science2018; 362(6419): 1165–1170
[5]
Kholodenko IV, Kalinovsky DV, Doronin II, Deyev SM, Kholodenko RV. Neuroblastoma origin and therapeutic targets for immunotherapy. J Immunol Res2018; 2018: 7394268
[6]
Matthay KK, Maris JM, Schleiermacher G, Nakagawara A, Mackall CL, Diller L, Weiss WA. Neuroblastoma. Nat Rev Dis Primers2016; 2(1): 16078
[7]
Teitz T, Inoue M, Valentine MB, Zhu K, Rehg JE, Zhao W, Finkelstein D, Wang YD, Johnson MD, Calabrese C, Rubinstein M, Hakem R, Weiss WA, Lahti JM. Th-MYCN mice with caspase-8 deficiency develop advanced neuroblastoma with bone marrow metastasis. Cancer Res2013; 73(13): 4086–4097
[8]
Zheng T, Ménard M, Weiss WA. Neuroblastoma metastases: leveraging the avian neural crest. Cancer Cell2017; 32(4): 395–397
[9]
Zhu S, Zhang X, Weichert-Leahey N, Dong Z, Zhang C, Lopez G, Tao T, He S, Wood AC, Oldridge D, Ung CY, van Ree JH, Khan A, Salazar BM, Lummertz da Rocha E, Zimmerman MW, Guo F, Cao H, Hou X, Weroha SJ, Perez-Atayde AR, Neuberg DS, Meves A, McNiven MA, van Deursen JM, Li H, Maris JM, Look AT. LMO1 synergizes with MYCN to promote neuroblastoma initiation and metastasis. Cancer Cell2017; 32(3): 310–323.e5
Peng J, Sun BF, Chen CY, Zhou JY, Chen YS, Chen H, Liu L, Huang D, Jiang J, Cui GS, Yang Y, Wang W, Guo D, Dai M, Guo J, Zhang T, Liao Q, Liu Y, Zhao YL, Han DL, Zhao Y, Yang YG, Wu W. Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma. Cell Res2019; 29(9): 725–738
[12]
Puram SV, Tirosh I, Parikh AS, Patel AP, Yizhak K, Gillespie S, Rodman C, Luo CL, Mroz EA, Emerick KS, Deschler DG, Varvares MA, Mylvaganam R, Rozenblatt-Rosen O, Rocco JW, Faquin WC, Lin DT, Regev A, Bernstein BE. Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer. Cell2017; 171(7): 1611–1624.e24
[13]
Kan T, Zhang S, Zhou S, Zhang Y, Zhao Y, Gao Y, Zhang T, Gao F, Wang X, Zhao L, Yang M. Single-cell RNA-seq recognized the initiator of epithelial ovarian cancer recurrence. Oncogene2022; 41(6): 895–906
[14]
Dong R, Yang R, Zhan Y, Lai HD, Ye CJ, Yao XY, Luo WQ, Cheng XM, Miao JJ, Wang JF, Liu BH, Liu XQ, Xie LL, Li Y, Zhang M, Chen L, Song WC, Qian W, Gao WQ, Tang YH, Shen CY, Jiang W, Chen G, Yao W, Dong KR, Xiao XM, Zheng S, Li K, Wang J. Single-cell characterization of malignant phenotypes and developmental trajectories of adrenal neuroblastoma. Cancer Cell2020; 38(5): 716–733.e6
[15]
Jansky S, Sharma AK, Körber V, Quintero A, Toprak UH, Wecht EM, Gartlgruber M, Greco A, Chomsky E, Grünewald TGP, Henrich KO, Tanay A, Herrmann C, Höfer T, Westermann F. Single-cell transcriptomic analyses provide insights into the developmental origins of neuroblastoma. Nat Genet2021; 53(5): 683–693
[16]
Kildisiute G, Kholosy WM, Young MD, Roberts K, Elmentaite R, van Hooff SR, Pacyna CN, Khabirova E, Piapi A, Thevanesan C, Bugallo-Blanco E, Burke C, Mamanova L, Keller KM, Langenberg-Ververgaert KPS, Lijnzaad P, Margaritis T, Holstege FCP, Tas ML, Wijnen M, van Noesel MM, Del Valle I, Barone G, van der Linden R, Duncan C, Anderson J, Achermann JC, Haniffa M, Teichmann SA, Rampling D, Sebire NJ, He X, de Krijger RR, Barker RA, Meyer KB, Bayraktar O, Straathof K, Molenaar JJ, Behjati S. Tumor to normal single-cell mRNA comparisons reveal a pan-neuroblastoma cancer cell. Sci Adv2021; 7(6): eabd3311
[17]
Hanemaaijer ES, Margaritis T, Sanders K, Bos FL, Candelli T, Al-Saati H, van Noesel MM, Meyer-Wentrup FAG, van de Wetering M, Holstege FCP, Clevers H. Single-cell atlas of developing murine adrenal gland reveals relation of Schwann cell precursor signature to neuroblastoma phenotype. Proc Natl Acad Sci USA2021; 118(5): e2022350118
[18]
Bedoya-Reina OC, Li W, Arceo M, Plescher M, Bullova P, Pui H, Kaucka M, Kharchenko P, Martinsson T, Holmberg J, Adameyko I, Deng Q, Larsson C, Juhlin CC, Kogner P, Schlisio S. Single-nuclei transcriptomes from human adrenal gland reveal distinct cellular identities of low and high-risk neuroblastoma tumors. Nat Commun2021; 12(1): 5309
[19]
Kameneva P, Artemov AV, Kastriti ME, Faure L, Olsen TK, Otte J, Erickson A, Semsch B, Andersson ER, Ratz M, Frisén J, Tischler AS, de Krijger RR, Bouderlique T, Akkuratova N, Vorontsova M, Gusev O, Fried K, Sundström E, Mei S, Kogner P, Baryawno N, Kharchenko PV, Adameyko I. Single-cell transcriptomics of human embryos identifies multiple sympathoblast lineages with potential implications for neuroblastoma origin. Nat Genet2021; 53(5): 694–706
[20]
Yuan X, Seneviratne JA, Du S, Xu Y, Chen Y, Jin Q, Jin X, Balachandran A, Huang S, Xu Y, Zhai Y, Lu L, Tang M, Dong Y, Cheung BB, Marshall GM, Shi W, Carter DR, Zhang C. Single-cell profiling of peripheral neuroblastic tumors identifies an aggressive transitional state that bridges an adrenergic-mesenchymal trajectory. Cell Rep2022; 41(1): 111455
[21]
Fetahu IS, Esser-Skala W, Dnyansagar R, Sindelar S, Rifatbegovic F, Bileck A, Skos L, Bozsaky E, Lazic D, Shaw L, Tötzl M, Tarlungeanu D, Bernkopf M, Rados M, Weninger W, Tomazou EM, Bock C, Gerner C, Ladenstein R, Farlik M, Fortelny N, Taschner-Mandl S. Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis. Nat Commun2023; 14(1): 3620
[22]
McGinnis CS, Murrow LM, Gartner ZJ. DoubletFinder: doublet detection in single-cell RNA sequencing data using artificial nearest neighbors. Cell Syst2019; 8(4): 329–337.e4
[23]
Korsunsky I, Millard N, Fan J, Slowikowski K, Zhang F, Wei K, Baglaenko Y, Brenner M, Loh PR, Raychaudhuri S. Fast, sensitive and accurate integration of single-cell data with Harmony. Nat Methods2019; 16(12): 1289–1296
[24]
Tirosh I, Venteicher AS, Hebert C, Escalante LE, Patel AP, Yizhak K, Fisher JM, Rodman C, Mount C, Filbin MG, Neftel C, Desai N, Nyman J, Izar B, Luo CC, Francis JM, Patel AA, Onozato ML, Riggi N, Livak KJ, Gennert D, Satija R, Nahed BV, Curry WT, Martuza RL, Mylvaganam R, Iafrate AJ, Frosch MP, Golub TR, Rivera MN, Getz G, Rozenblatt-Rosen O, Cahill DP, Monje M, Bernstein BE, Louis DN, Regev A, Suvà ML. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma. Nature2016; 539(7628): 309–313
[25]
Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics2018; 34(18): 3094–3100
[26]
Sedlazeck FJ, Rescheneder P, Smolka M, Fang H, Nattestad M, von Haeseler A, Schatz MC. Accurate detection of complex structural variations using single-molecule sequencing. Nat Methods2018; 15(6): 461–468
[27]
Aran D, Looney AP, Liu L, Wu E, Fong V, Hsu A, Chak S, Naikawadi RP, Wolters PJ, Abate AR, Butte AJ, Bhattacharya M. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat Immunol2019; 20(2): 163–172
[28]
Zhang Q, He Y, Luo N, Patel SJ, Han Y, Gao R, Modak M, Carotta S, Haslinger C, Kind D, Peet GW, Zhong G, Lu S, Zhu W, Mao Y, Xiao M, Bergmann M, Hu X, Kerkar SP, Vogt AB, Pflanz S, Liu K, Peng J, Ren X, Zhang Z. Landscape and dynamics of single immune cells in hepatocellular carcinoma. Cell2019; 179(4): 829–845.e20
[29]
Trapnell C, Cacchiarelli D, Grimsby J, Pokharel P, Li S, Morse M, Lennon NJ, Livak KJ, Mikkelsen TS, Rinn JL. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol2014; 32(4): 381–386
[30]
Street K, Risso D, Fletcher RB, Das D, Ngai J, Yosef N, Purdom E, Dudoit S. Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics. BMC Genomics2018; 19(1): 477
[31]
Garcia-Alonso L, Holland CH, Ibrahim MM, Turei D, Saez-Rodriguez J. Benchmark and integration of resources for the estimation of human transcription factor activities. Genome Res2019; 29(8): 1363–1375
[32]
Alvarez MJ, Shen Y, Giorgi FM, Lachmann A, Ding BB, Ye BH, Califano A. Functional characterization of somatic mutations in cancer using network-based inference of protein activity. Nat Genet2016; 48(8): 838–847
[33]
Holland CH, Tanevski J, Perales-Patón J, Gleixner J, Kumar MP, Mereu E, Joughin BA, Stegle O, Lauffenburger DA, Heyn H, Szalai B, Saez-Rodriguez J. Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data. Genome Biol2020; 21(1): 36
[34]
Verhoeven BM, Mei S, Olsen TK, Gustafsson K, Valind A, Lindström A, Gisselsson D, Fard SS, Hagerling C, Kharchenko PV, Kogner P, Johnsen JI, Baryawno N. The immune cell atlas of human neuroblastoma. Cell Rep Med2022; 3(6): 100657
[35]
Jin S, Guerrero-Juarez CF, Zhang L, Chang I, Ramos R, Kuan CH, Myung P, Plikus MV, Nie Q. Inference and analysis of cell-cell communication using CellChat. Nat Commun2021; 12(1): 1088
[36]
Zhang J, Guan M, Wang Q, Zhang J, Zhou T, Sun X. Single-cell transcriptome-based multilayer network biomarker for predicting prognosis and therapeutic response of gliomas. Brief Bioinform2020; 21(3): 1080–1097
[37]
Patel AP, Tirosh I, Trombetta JJ, Shalek AK, Gillespie SM, Wakimoto H, Cahill DP, Nahed BV, Curry WT, Martuza RL, Louis DN, Rozenblatt-Rosen O, Suvà ML, Regev A, Bernstein BE. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science2014; 344(6190): 1396–1401
[38]
Brodeur GM. Neuroblastoma: biological insights into a clinical enigma. Nat Rev Cancer2003; 3(3): 203–216
[39]
Pan XW, Zhang H, Xu D, Chen JX, Chen WJ, Gan SS, Qu FJ, Chu CM, Cao JW, Fan YH, Song X, Ye JQ, Zhou W, Cui XG. Identification of a novel cancer stem cell subpopulation that promotes progression of human fatal renal cell carcinoma by single-cell RNA-seq analysis. Int J Biol Sci2020; 16(16): 3149–3162
[40]
La Manno G, Soldatov R, Zeisel A, Braun E, Hochgerner H, Petukhov V, Lidschreiber K, Kastriti ME, Lönnerberg P, Furlan A, Fan J, Borm LE, Liu Z, van Bruggen D, Guo J, He X, Barker R, Sundström E, Castelo-Branco G, Cramer P, Adameyko I, Linnarsson S, Kharchenko PV. RNA velocity of single cells. Nature2018; 560(7719): 494–498
[41]
Spanjaard B, Hu B, Mitic N, Olivares-Chauvet P, Janjuha S, Ninov N, Junker JP. Simultaneous lineage tracing and cell-type identification using CRISPR-Cas9-induced genetic scars. Nat Biotechnol2018; 36(5): 469–473
[42]
Kester L, van Oudenaarden A. Single-cell transcriptomics meets lineage tracing. Cell Stem Cell2018; 23(2): 166–179
[43]
Lee-Six H, Øbro NF, Shepherd MS, Grossmann S, Dawson K, Belmonte M, Osborne RJ, Huntly BJP, Martincorena I, Anderson E, O’Neill L, Stratton MR, Laurenti E, Green AR, Kent DG, Campbell PJ. Population dynamics of normal human blood inferred from somatic mutations. Nature2018; 561(7724): 473–478
[44]
Miller TE, Lareau CA, Verga JA, DePasquale EAK, Liu V, Ssozi D, Sandor K, Yin Y, Ludwig LS, El Farran CA, Morgan DM, Satpathy AT, Griffin GK, Lane AA, Love JC, Bernstein BE, Sankaran VG, van Galen P. Mitochondrial variant enrichment from high-throughput single-cell RNA sequencing resolves clonal populations. Nat Biotechnol2022; 40(7): 1030–1034
[45]
Nguyen B, Fong C, Luthra A, Smith SA, DiNatale RG, Nandakumar S, Walch H, Chatila WK, Madupuri R, Kundra R, Bielski CM, Mastrogiacomo B, Donoghue MTA, Boire A, Chandarlapaty S, Ganesh K, Harding JJ, Iacobuzio-Donahue CA, Razavi P, Reznik E, Rudin CM, Zamarin D, Abida W, Abou-Alfa GK, Aghajanian C, Cercek A, Chi P, Feldman D, Ho AL, Iyer G, Janjigian YY, Morris M, Motzer RJ, O’Reilly EM, Postow MA, Raj NP, Riely GJ, Robson ME, Rosenberg JE, Safonov A, Shoushtari AN, Tap W, Teo MY, Varghese AM, Voss M, Yaeger R, Zauderer MG, Abu-Rustum N, Garcia-Aguilar J, Bochner B, Hakimi A, Jarnagin WR, Jones DR, Molena D, Morris L, Rios-Doria E, Russo P, Singer S, Strong VE, Chakravarty D, Ellenson LH, Gopalan A, Reis-Filho JS, Weigelt B, Ladanyi M, Gonen M, Shah SP, Massague J, Gao J, Zehir A, Berger MF, Solit DB, Bakhoum SF, Sanchez-Vega F, Schultz N. Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients. Cell2022; 185(3): 563–575.e11
Lundgren K, Nordenskjöld B, Landberg G. Hypoxia, Snail and incomplete epithelial-mesenchymal transition in breast cancer. Br J Cancer2009; 101(10): 1769–1781
Li M, Sun C, Bu X, Que Y, Zhang L, Zhang Y, Zhang L, Lu S, Huang J, Zhu J, Wang J, Sun F, Zhang Y. ISL1 promoted tumorigenesis and EMT via Aurora kinase A-induced activation of PI3K/AKT signaling pathway in neuroblastoma. Cell Death Dis2021; 12(6): 620
[50]
Ferronha T, Rabadán MA, Gil-Guiñon E, Le Dréau G, de Torres C, Martí E. LMO4 is an essential cofactor in the Snail2-mediated epithelial-to-mesenchymal transition of neuroblastoma and neural crest cells. J Neurosci2013; 33(7): 2773–2783
[51]
Missios P, da Rocha EL, Pearson DS, Philipp J, Aleman MM, Pirouz M, Farache D, Franses JW, Kubaczka C, Tsanov KM, Jha DK, Pepe-Mooney B, Powers JT, Gregory RI, Lee AS, Dominguez D, Ting DT, Daley GQ. LIN28B alters ribosomal dynamics to promote metastasis in MYCN-driven malignancy. J Clin Invest2021; 131(22): e145142
[52]
Tan CY, Chang CL. NDPKA is not just a metastasis suppressor—be aware of its metastasis-promoting role in neuroblastoma. Lab Invest2018; 98(2): 219–227
[53]
Das SK, Maji S, Wechman SL, Bhoopathi P, Pradhan AK, Talukdar S, Sarkar D, Landry J, Guo C, Wang XY, Cavenee WK, Emdad L, Fisher PB. MDA-9/Syntenin (SDCBP): novel gene and therapeutic target for cancer metastasis. Pharmacol Res2020; 155: 104695
[54]
Kent LN, Leone G. The broken cycle: E2F dysfunction in cancer. Nat Rev Cancer2019; 19(6): 326–338
[55]
Barger CJ, Branick C, Chee L, Karpf AR. Pan-cancer analyses reveal genomic features of FOXM1 overexpression in cancer. Cancers (Basel)2019; 11(2): 251
[56]
Musa J, Aynaud MM, Mirabeau O, Delattre O, Grünewald TG. MYBL2 (B-Myb): a central regulator of cell proliferation, cell survival and differentiation involved in tumorigenesis. Cell Death Dis2017; 8(6): e2895
[57]
Polager S, Ginsberg D. E2F—at the crossroads of life and death. Trends Cell Biol2008; 18(11): 528–535
[58]
Bandara LR, Lam EW, Sørensen TS, Zamanian M, Girling R, La Thangue NB. DP-1: a cell cycle-regulated and phosphorylated component of transcription factor DRTF1/E2F which is functionally important for recognition by pRb and the adenovirus E4 orf 6/7 protein. EMBO J1994; 13(13): 3104–3114
[59]
Fang E, Wang X, Yang F, Hu A, Wang J, Li D, Song H, Hong M, Guo Y, Liu Y, Li H, Huang K, Zheng L, Tong Q. Therapeutic targeting of MZF1–AS1/PARP1/E2F1 axis inhibits proline synthesis and neuroblastoma progression. Adv Sci (Weinh)2019; 6(19): 1900581
[60]
Wang Z, Park HJ, Carr JR, Chen YJ, Zheng Y, Li J, Tyner AL, Costa RH, Bagchi S, Raychaudhuri P. FoxM1 in tumorigenicity of the neuroblastoma cells and renewal of the neural progenitors. Cancer Res2011; 71(12): 4292–4302
[61]
Raschellà G, Cesi V, Amendola R, Negroni A, Tanno B, Altavista P, Tonini GP, De Bernardi B, Calabretta B. Expression of B-myb in neuroblastoma tumors is a poor prognostic factor independent from MYCN amplification. Cancer Res1999; 59(14): 3365–3368
[62]
Xu J, Lamouille S, Derynck R. TGF-beta-induced epithelial to mesenchymal transition. Cell Res2009; 19(2): 156–172
[63]
Padua D, Massagué J. Roles of TGFbeta in metastasis. Cell Res2009; 19(1): 89–102
[64]
Derynck R, Turley SJ, Akhurst RJ. TGFβ biology in cancer progression and immunotherapy. Nat Rev Clin Oncol2021; 18(1): 9–34
[65]
Cheng J, Zhang J, Wu Z, Sun X. Inferring microenvironmental regulation of gene expression from single-cell RNA sequencing data using scMLnet with an application to COVID-19. Brief Bioinform2021; 22(2): 988–1005
[66]
Luo J, Deng M, Zhang X, Sun X. ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods. Genome Res2023; 33(10): 1788–1805
[67]
HeXSunXShaoY. Multicellular network-informed survival model for identification of drug targets of gliomas. IEEE J Biomed Health Inform2023; [Epub ahead of print] doi: 10.1109/JBHI.2023.3309825
[68]
Huang M, Weiss WA. Neuroblastoma and MYCN. Cold Spring Harb Perspect Med2013; 3(10): a014415
[69]
Brodeur GM, Pritchard J, Berthold F, Carlsen NL, Castel V, Castelberry RP, De Bernardi B, Evans AE, Favrot M, Hedborg F. Revisions of the international criteria for neuroblastoma diagnosis, staging, and response to treatment. J Clin Oncol1993; 11(8): 1466–1477
[70]
London WB, Castleberry RP, Matthay KK, Look AT, Seeger RC, Shimada H, Thorner P, Brodeur G, Maris JM, Reynolds CP, Cohn SL. Evidence for an age cutoff greater than 365 days for neuroblastoma risk group stratification in the Children’s Oncology Group. J Clin Oncol2005; 23(27): 6459–6465
[71]
Turajlic S, Swanton C. Metastasis as an evolutionary process. Science2016; 352(6282): 169–175
[72]
Thiery JP, Acloque H, Huang RY, Nieto MA. Epithelial-mesenchymal transitions in development and disease. Cell2009; 139(5): 871–890
[73]
Ye X, Weinberg RA. Epithelial-mesenchymal plasticity: a central regulator of cancer progression. Trends Cell Biol2015; 25(11): 675–686
[74]
Zhang Q, Fei L, Han R, Huang R, Wang Y, Chen H, Yao B, Qiao N, Wang Z, Ma Z, Ye Z, Zhang Y, Wang W, Wang Y, Kong L, Shou X, Cao X, Zhou X, Shen M, Cheng H, Yao Z, Zhang C, Guo G, Zhao Y. Single-cell transcriptome reveals cellular hierarchies and guides p-EMT-targeted trial in skull base chordoma. Cell Discov2022; 8(1): 94
[75]
Grasset EM, Dunworth M, Sharma G, Loth M, Tandurella J, Cimino-Mathews A, Gentz M, Bracht S, Haynes M, Fertig EJ, Ewald AJ. Triple-negative breast cancer metastasis involves complex epithelial-mesenchymal transition dynamics and requires vimentin. Sci Transl Med2022; 14(656): eabn7571
[76]
Pastushenko I, Blanpain C. EMT transition states during tumor progression and metastasis. Trends Cell Biol2019; 29(3): 212–226
[77]
Krebs AM, Mitschke J, Lasierra Losada M, Schmalhofer O, Boerries M, Busch H, Boettcher M, Mougiakakos D, Reichardt W, Bronsert P, Brunton VG, Pilarsky C, Winkler TH, Brabletz S, Stemmler MP, Brabletz T. The EMT-activator Zeb1 is a key factor for cell plasticity and promotes metastasis in pancreatic cancer. Nat Cell Biol2017; 19(5): 518–529
[78]
Hao Y, Baker D, Ten Dijke P. TGF-β-mediated epithelial-mesenchymal transition and cancer metastasis. Int J Mol Sci2019; 20(11): 2767
[79]
Zhang Y, Zou X, Qian W, Weng X, Zhang L, Zhang L, Wang S, Cao X, Ma L, Wei G, Wu Y, Hou Z. Enhanced PAPSS2/VCAN sulfation axis is essential for Snail-mediated breast cancer cell migration and metastasis. Cell Death Differ2019; 26(3): 565–579
[80]
Carstens JL, Yang S, Correa de Sampaio P, Zheng X, Barua S, McAndrews KM, Rao A, Burks JK, Rhim AD, Kalluri R. Stabilized epithelial phenotype of cancer cells in primary tumors leads to increased colonization of liver metastasis in pancreatic cancer. Cell Rep2021; 35(2): 108990
[81]
Sepporta MV, Praz V, Balmas Bourloud K, Joseph JM, Jauquier N, Riggi N, Nardou-Auderset K, Petit A, Scoazec JY, Sartelet H, Renella R, Mühlethaler-Mottet A. TWIST1 expression is associated with high-risk neuroblastoma and promotes primary and metastatic tumor growth. Commun Biol2022; 5(1): 42