NCT05151718

Brief Summary

Treatment of childhood ependymoma, the second most frequent pediatric brain tumor, is based on surgery and radiation therapy. However, 50% relapse, mainly locally. Progress in imaging, molecular biology and radiotherapy ballistics has led us to propose the EPENDYMOMICS project, a multi-omics approach using artificial intelligence to detect the predictive characteristics of relapse, and to define innovative radiotherapy targets using multimodal imaging. We previously reported that the relapse sites are mainly located in the high-dose radiotherapy zone and that there appear to be prognostic factors for relapse based on anatomical and functional MRI abnormalities by diffusion and perfusion. In addition, recent studies in molecular biology have identified significant prognostic factors. The challenge now is to use and correlate all these findings in larger cohorts to tackle the radio-resistance of this disease. Our objective is to collate in a single database called NETSPARE (Network to Structure and Share Pediatric data to Accelerate Research on Ependymoma) the clinical, histological, biological, imaging and radiotherapy data from two consecutive studies that included 370 children and adolescents with ependymoma since 2000 in France. The EPENDYMOMICS project will comprise a clinical research team, three imaging research teams, two histopathology teams, and a biostatistics team working on NETSPARE. Our goal is to obtain a radiogenomic signature of our data, which will be validated with the English external cohort of 200 patients that is currently being analyzed. The perspective is to optimize the indications and volumes of irradiation that could in the future be used in a European translational research trial to tackle radioresistance.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
370

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Sep 2021

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

September 30, 2021

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

December 8, 2021

Completed
1 day until next milestone

First Posted

Study publicly available on registry

December 9, 2021

Completed
3.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

September 30, 2025

Completed
Last Updated

May 29, 2025

Status Verified

May 1, 2025

Enrollment Period

3.9 years

First QC Date

December 8, 2021

Last Update Submit

May 27, 2025

Conditions

Keywords

childhood ependymomaradio-resistanceradiogenomic signature

Outcome Measures

Primary Outcomes (1)

  • Definition of radiogenomics signatures that are predictive of patient outcome

    The primary endpoint is progression-free survival (PFS), i.e. the time from diagnosis to progression or death from any cause. Patients alive at last follow-up are censored at this date.

    30 months

Secondary Outcomes (2)

  • Definition of new RT target volumes based on radiomic features and to choose their indications based on biomolecular prognostic factors

    30 months

  • To predict resistance to therapy by using the histological data in digital format and the biomolecular data for analysis by methods based on artificial deep neural networks .

    30 months

Eligibility Criteria

AgeUp to 25 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodNon-Probability Sample
Study Population

Children with intracranial ependymoma treated in France since 2000 (included in PEPPI study between 2000 and 2013 and in pediaRT and french SIOP II programme since 2013)

You may qualify if:

  • children with intracranial ependymoma
  • treated
  • included in PEPPI study, pediaRT or in SIOP II Ependymoma french program

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Institut Claudius Regaud

Toulouse, 31059, France

RECRUITING

Related Publications (32)

  • Tensaouti F, Ducassou A, Chaltiel L, Bolle S, Muracciole X, Coche-Dequeant B, Alapetite C, Bernier V, Claude L, Supiot S, Huchet A, Kerr C, le Prise E, Laprie A; radiotherapy committee of the French Society for Childhood Cancer (SFCE). Patterns of failure after radiotherapy for pediatric patients with intracranial ependymoma. Radiother Oncol. 2017 Mar;122(3):362-367. doi: 10.1016/j.radonc.2016.12.025. Epub 2017 Jan 12.

    PMID: 28089483BACKGROUND
  • Ducassou A, Padovani L, Chaltiel L, Bolle S, Habrand JL, Claude L, Carrie C, Muracciole X, Coche-Dequeant B, Alapetite C, Supiot S, Demoor-Goldschmidt C, Bernier-Chastagner V, Huchet A, Leseur J, Le Prise E, Kerr C, Truc G, Nguyen TD, Bertozzi AI, Frappaz D, Boetto S, Sevely A, Tensaouti F, Laprie A; Pediatric French Radiation Oncologist Group (GFRP) and the French Society of Children With Cancer (SFCE). Pediatric Localized Intracranial Ependymomas: A Multicenter Analysis of the Societe Francaise de lutte contre les Cancers de l'Enfant (SFCE) from 2000 to 2013. Int J Radiat Oncol Biol Phys. 2018 Sep 1;102(1):166-173. doi: 10.1016/j.ijrobp.2018.05.036. Epub 2018 May 24.

    PMID: 30102193BACKGROUND
  • Tensaouti F, Ducassou A, Chaltiel L, Sevely A, Bolle S, Muracciole X, Coche-Dequant B, Alapetite C, Supiot S, Huchet A, Bernier V, Claude L, Bertozzi-Salamon AI, Liceaga S, Lotterie JA, Peran P, Payoux P, Laprie A; radiotherapy committee of the French Society for Childhood Cancer (SFCE). Prognostic and predictive values of diffusion and perfusion MRI in paediatric intracranial ependymomas in a large national study. Br J Radiol. 2016 Oct;89(1066):20160537. doi: 10.1259/bjr.20160537. Epub 2016 Aug 23.

    PMID: 27550423BACKGROUND
  • Tensaouti F, Ducassou A, Chaltiel L, Sevely A, Bolle S, Padovani L, Jouin A, Alapetite C, Supiot S, Huchet A, Bernier V, Claude L, Kerr C, Le Prise E, Bertozzi-Salamon AI, Liceaga S, Lotterie JA, Peran P, Laprie A; French Society for Childhood Cancer (SFCE). Imaging biomarkers of outcome after radiotherapy for pediatric ependymoma. Radiother Oncol. 2018 Apr;127(1):103-107. doi: 10.1016/j.radonc.2018.02.008. Epub 2018 Mar 2.

    PMID: 29500084BACKGROUND
  • Tensaouti F, Ducassou A, Chaltiel L, Bolle S, Habrand JL, Alapetite C, Coche-Dequeant B, Bernier V, Claude L, Carrie C, Padovani L, Muracciole X, Supiot S, Huchet A, Leseur J, Kerr C, Hangard G, Lisbona A, Goudjil F, Ferrand R, Laprie A. Feasibility of Dose Escalation in Patients With Intracranial Pediatric Ependymoma. Front Oncol. 2019 Jun 21;9:531. doi: 10.3389/fonc.2019.00531. eCollection 2019.

    PMID: 31293971BACKGROUND
  • Pajtler KW, Mack SC, Ramaswamy V, Smith CA, Witt H, Smith A, Hansford JR, von Hoff K, Wright KD, Hwang E, Frappaz D, Kanemura Y, Massimino M, Faure-Conter C, Modena P, Tabori U, Warren KE, Holland EC, Ichimura K, Giangaspero F, Castel D, von Deimling A, Kool M, Dirks PB, Grundy RG, Foreman NK, Gajjar A, Korshunov A, Finlay J, Gilbertson RJ, Ellison DW, Aldape KD, Merchant TE, Bouffet E, Pfister SM, Taylor MD. The current consensus on the clinical management of intracranial ependymoma and its distinct molecular variants. Acta Neuropathol. 2017 Jan;133(1):5-12. doi: 10.1007/s00401-016-1643-0. Epub 2016 Nov 17.

    PMID: 27858204BACKGROUND
  • Da-Ano R, Visvikis D, Hatt M. Harmonization strategies for multicenter radiomics investigations. Phys Med Biol. 2020 Dec 17;65(24):24TR02. doi: 10.1088/1361-6560/aba798.

    PMID: 32688357BACKGROUND
  • Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics. 2007 Jan;8(1):118-27. doi: 10.1093/biostatistics/kxj037. Epub 2006 Apr 21.

    PMID: 16632515BACKGROUND
  • Chen C, Grennan K, Badner J, Zhang D, Gershon E, Jin L, Liu C. Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods. PLoS One. 2011 Feb 28;6(2):e17238. doi: 10.1371/journal.pone.0017238.

    PMID: 21386892BACKGROUND
  • Da-Ano R, Masson I, Lucia F, Dore M, Robin P, Alfieri J, Rousseau C, Mervoyer A, Reinhold C, Castelli J, De Crevoisier R, Ramee JF, Pradier O, Schick U, Visvikis D, Hatt M. Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies. Sci Rep. 2020 Jun 24;10(1):10248. doi: 10.1038/s41598-020-66110-w.

    PMID: 32581221BACKGROUND
  • Louis DN, Wesseling P, Aldape K, Brat DJ, Capper D, Cree IA, Eberhart C, Figarella-Branger D, Fouladi M, Fuller GN, Giannini C, Haberler C, Hawkins C, Komori T, Kros JM, Ng HK, Orr BA, Park SH, Paulus W, Perry A, Pietsch T, Reifenberger G, Rosenblum M, Rous B, Sahm F, Sarkar C, Solomon DA, Tabori U, van den Bent MJ, von Deimling A, Weller M, White VA, Ellison DW. cIMPACT-NOW update 6: new entity and diagnostic principle recommendations of the cIMPACT-Utrecht meeting on future CNS tumor classification and grading. Brain Pathol. 2020 Jul;30(4):844-856. doi: 10.1111/bpa.12832. Epub 2020 Apr 19.

    PMID: 32307792BACKGROUND
  • Louis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, Ohgaki H, Wiestler OD, Kleihues P, Ellison DW. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 2016 Jun;131(6):803-20. doi: 10.1007/s00401-016-1545-1. Epub 2016 May 9.

    PMID: 27157931BACKGROUND
  • Parker M, Mohankumar KM, Punchihewa C, Weinlich R, Dalton JD, Li Y, Lee R, Tatevossian RG, Phoenix TN, Thiruvenkatam R, White E, Tang B, Orisme W, Gupta K, Rusch M, Chen X, Li Y, Nagahawhatte P, Hedlund E, Finkelstein D, Wu G, Shurtleff S, Easton J, Boggs K, Yergeau D, Vadodaria B, Mulder HL, Becksfort J, Gupta P, Huether R, Ma J, Song G, Gajjar A, Merchant T, Boop F, Smith AA, Ding L, Lu C, Ochoa K, Zhao D, Fulton RS, Fulton LL, Mardis ER, Wilson RK, Downing JR, Green DR, Zhang J, Ellison DW, Gilbertson RJ. C11orf95-RELA fusions drive oncogenic NF-kappaB signalling in ependymoma. Nature. 2014 Feb 27;506(7489):451-5. doi: 10.1038/nature13109. Epub 2014 Feb 19.

    PMID: 24553141BACKGROUND
  • Panwalkar P, Clark J, Ramaswamy V, Hawes D, Yang F, Dunham C, Yip S, Hukin J, Sun Y, Schipper MJ, Chavez L, Margol A, Pekmezci M, Chung C, Banda A, Bayliss JM, Curry SJ, Santi M, Rodriguez FJ, Snuderl M, Karajannis MA, Saratsis AM, Horbinski CM, Carret AS, Wilson B, Johnston D, Lafay-Cousin L, Zelcer S, Eisenstat D, Silva M, Scheinemann K, Jabado N, McNeely PD, Kool M, Pfister SM, Taylor MD, Hawkins C, Korshunov A, Judkins AR, Venneti S. Immunohistochemical analysis of H3K27me3 demonstrates global reduction in group-A childhood posterior fossa ependymoma and is a powerful predictor of outcome. Acta Neuropathol. 2017 Nov;134(5):705-714. doi: 10.1007/s00401-017-1752-4. Epub 2017 Jul 21.

    PMID: 28733933BACKGROUND
  • Pajtler KW, Witt H, Sill M, Jones DT, Hovestadt V, Kratochwil F, Wani K, Tatevossian R, Punchihewa C, Johann P, Reimand J, Warnatz HJ, Ryzhova M, Mack S, Ramaswamy V, Capper D, Schweizer L, Sieber L, Wittmann A, Huang Z, van Sluis P, Volckmann R, Koster J, Versteeg R, Fults D, Toledano H, Avigad S, Hoffman LM, Donson AM, Foreman N, Hewer E, Zitterbart K, Gilbert M, Armstrong TS, Gupta N, Allen JC, Karajannis MA, Zagzag D, Hasselblatt M, Kulozik AE, Witt O, Collins VP, von Hoff K, Rutkowski S, Pietsch T, Bader G, Yaspo ML, von Deimling A, Lichter P, Taylor MD, Gilbertson R, Ellison DW, Aldape K, Korshunov A, Kool M, Pfister SM. Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups. Cancer Cell. 2015 May 11;27(5):728-43. doi: 10.1016/j.ccell.2015.04.002.

    PMID: 25965575BACKGROUND
  • Pajtler KW, Wen J, Sill M, Lin T, Orisme W, Tang B, Hubner JM, Ramaswamy V, Jia S, Dalton JD, Haupfear K, Rogers HA, Punchihewa C, Lee R, Easton J, Wu G, Ritzmann TA, Chapman R, Chavez L, Boop FA, Klimo P, Sabin ND, Ogg R, Mack SC, Freibaum BD, Kim HJ, Witt H, Jones DTW, Vo B, Gajjar A, Pounds S, Onar-Thomas A, Roussel MF, Zhang J, Taylor JP, Merchant TE, Grundy R, Tatevossian RG, Taylor MD, Pfister SM, Korshunov A, Kool M, Ellison DW. Molecular heterogeneity and CXorf67 alterations in posterior fossa group A (PFA) ependymomas. Acta Neuropathol. 2018 Aug;136(2):211-226. doi: 10.1007/s00401-018-1877-0. Epub 2018 Jun 16.

    PMID: 29909548BACKGROUND
  • Siegfried A, Rousseau A, Maurage CA, Pericart S, Nicaise Y, Escudie F, Grand D, Delrieu A, Gomez-Brouchet A, Le Guellec S, Franchet C, Boetto S, Vinchon M, Sol JC, Roux FE, Rigau V, Bertozzi AI, Jones DTW, Figarella-Branger D, Uro-Coste E. EWSR1-PATZ1 gene fusion may define a new glioneuronal tumor entity. Brain Pathol. 2019 Jan;29(1):53-62. doi: 10.1111/bpa.12619. Epub 2018 Jul 13.

    PMID: 29679497BACKGROUND
  • Siegfried A, Masliah-Planchon J, Roux FE, Larrieu-Ciron D, Pierron G, Nicaise Y, Gambart M, Catalaa I, Pericart S, Dubucs C, Mohand-Oumoussa B, Tirode F, Bourdeaut F, Uro-Coste E. Brain tumor with an ATXN1-NUTM1 fusion gene expands the histologic spectrum of NUTM1-rearranged neoplasia. Acta Neuropathol Commun. 2019 Dec 30;7(1):220. doi: 10.1186/s40478-019-0870-8. No abstract available.

    PMID: 31888756BACKGROUND
  • Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, McKeown A, Yang G, Wu X, Yan F, Dong J, Prasadha MK, Pei J, Ting MYL, Zhu J, Li C, Hewett S, Dong J, Ziyar I, Shi A, Zhang R, Zheng L, Hou R, Shi W, Fu X, Duan Y, Huu VAN, Wen C, Zhang ED, Zhang CL, Li O, Wang X, Singer MA, Sun X, Xu J, Tafreshi A, Lewis MA, Xia H, Zhang K. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018 Feb 22;172(5):1122-1131.e9. doi: 10.1016/j.cell.2018.02.010.

    PMID: 29474911BACKGROUND
  • Coudray N, Ocampo PS, Sakellaropoulos T, Narula N, Snuderl M, Fenyo D, Moreira AL, Razavian N, Tsirigos A. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat Med. 2018 Oct;24(10):1559-1567. doi: 10.1038/s41591-018-0177-5. Epub 2018 Sep 17.

    PMID: 30224757BACKGROUND
  • Vahadane A, Peng T, Sethi A, Albarqouni S, Wang L, Baust M, Steiger K, Schlitter AM, Esposito I, Navab N. Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. IEEE Trans Med Imaging. 2016 Aug;35(8):1962-71. doi: 10.1109/TMI.2016.2529665. Epub 2016 Apr 27.

    PMID: 27164577BACKGROUND
  • Ouyang W, Mueller F, Hjelmare M, Lundberg E, Zimmer C. ImJoy: an open-source computational platform for the deep learning era. Nat Methods. 2019 Dec;16(12):1199-1200. doi: 10.1038/s41592-019-0627-0. No abstract available.

    PMID: 31780825BACKGROUND
  • Moons KG, Altman DG, Vergouwe Y, Royston P. Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ. 2009 Jun 4;338:b606. doi: 10.1136/bmj.b606. No abstract available.

    PMID: 19502216BACKGROUND
  • Deist TM, Dankers FJWM, Valdes G, Wijsman R, Hsu IC, Oberije C, Lustberg T, van Soest J, Hoebers F, Jochems A, El Naqa I, Wee L, Morin O, Raleigh DR, Bots W, Kaanders JH, Belderbos J, Kwint M, Solberg T, Monshouwer R, Bussink J, Dekker A, Lambin P. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers. Med Phys. 2018 Jul;45(7):3449-3459. doi: 10.1002/mp.12967. Epub 2018 Jun 13.

    PMID: 29763967BACKGROUND
  • Cozzi L, Dinapoli N, Fogliata A, Hsu WC, Reggiori G, Lobefalo F, Kirienko M, Sollini M, Franceschini D, Comito T, Franzese C, Scorsetti M, Wang PM. Radiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy. BMC Cancer. 2017 Dec 6;17(1):829. doi: 10.1186/s12885-017-3847-7.

    PMID: 29207975BACKGROUND
  • Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015 Jan 7;350:g7594. doi: 10.1136/bmj.g7594.

    PMID: 25569120BACKGROUND
  • Royston P, Sauerbrei W. A new measure of prognostic separation in survival data. Stat Med. 2004 Mar 15;23(5):723-48. doi: 10.1002/sim.1621.

    PMID: 14981672BACKGROUND
  • Heagerty PJ, Zheng Y. Survival model predictive accuracy and ROC curves. Biometrics. 2005 Mar;61(1):92-105. doi: 10.1111/j.0006-341X.2005.030814.x.

    PMID: 15737082BACKGROUND
  • De Bin R, Sauerbrei W, Boulesteix AL. Investigating the prediction ability of survival models based on both clinical and omics data: two case studies. Stat Med. 2014 Dec 30;33(30):5310-29. doi: 10.1002/sim.6246. Epub 2014 Jul 9.

    PMID: 25042390BACKGROUND
  • Laprie A, Ken S, Filleron T, Lubrano V, Vieillevigne L, Tensaouti F, Catalaa I, Boetto S, Khalifa J, Attal J, Peyraga G, Gomez-Roca C, Uro-Coste E, Noel G, Truc G, Sunyach MP, Magne N, Charissoux M, Supiot S, Bernier V, Mounier M, Poublanc M, Fabre A, Delord JP, Cohen-Jonathan Moyal E. Dose-painting multicenter phase III trial in newly diagnosed glioblastoma: the SPECTRO-GLIO trial comparing arm A standard radiochemotherapy to arm B radiochemotherapy with simultaneous integrated boost guided by MR spectroscopic imaging. BMC Cancer. 2019 Feb 21;19(1):167. doi: 10.1186/s12885-019-5317-x.

    PMID: 30791889BACKGROUND
  • Khalifa J, Tensaouti F, Lotterie JA, Catalaa I, Chaltiel L, Benouaich-Amiel A, Gomez-Roca C, Noel G, Truc G, Peran P, Berry I, Sunyach MP, Charissoux M, Johnson C, Cohen-Jonathan Moyal E, Laprie A. Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation? J Neurooncol. 2016 Oct;130(1):181-192. doi: 10.1007/s11060-016-2232-8. Epub 2016 Aug 8.

    PMID: 27502603BACKGROUND
  • Laprie A, Catalaa I, Cassol E, McKnight TR, Berchery D, Marre D, Bachaud JM, Berry I, Moyal EC. Proton magnetic resonance spectroscopic imaging in newly diagnosed glioblastoma: predictive value for the site of postradiotherapy relapse in a prospective longitudinal study. Int J Radiat Oncol Biol Phys. 2008 Mar 1;70(3):773-81. doi: 10.1016/j.ijrobp.2007.10.039.

    PMID: 18262090BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

FFPE sample of each patient tumor is included in the PEPPI cohort to Marseille is stored in the AP-HM tumor bank (AP-HM CRB-TBM (Centre de Ressources Biologiques - Tumorothèque et Banque de Muscle - CRB BB-0033-00097) headed by Prof D. Figarella-Branger, certified Afnor 96900 and ISO 9001 (AC-2018-3105) until use.

MeSH Terms

Conditions

Familial ependymoma

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 8, 2021

First Posted

December 9, 2021

Study Start

September 30, 2021

Primary Completion

August 31, 2025

Study Completion

September 30, 2025

Last Updated

May 29, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will not share

Locations