Expression of two parental imprinted miRNAs improves the risk stratification of neuroblastoma patients

被引:11
|
作者
Gattolliat, Charles-Henry [1 ,2 ]
Le Teuff, Gwenael [3 ]
Combaret, Valerie [4 ]
Mussard, Eugenie [1 ]
Valteau-Couanet, Dominique [5 ]
Busson, Pierre [1 ]
Benard, Jean [1 ,6 ]
Douc-Rasy, Setha [1 ]
机构
[1] Univ Paris 11, Gustave Roussy, CNRS UMR 8126, F-94805 Villejuif, France
[2] Univ Bretagne Occidentale, Fac Med, Ctr Hosp Reg Univ Brest, INSERM UMR 1078,Etab Francais Sang,SFR ScInBioS, F-29200 Brest, France
[3] Gustave Roussy, Dept Biostat & Epidemiol, F-94800 Villejuif, France
[4] Ctr Leon Berard, Lab Rech Translat, F-69373 Lyon 08, France
[5] Gustave Roussy, Dept Paediat, F-94805 Villejuif, France
[6] Gustave Roussy, Dept Biopathol, F-94805 Villejuif, France
来源
CANCER MEDICINE | 2014年 / 3卷 / 04期
关键词
miRNA clusters; neuroblastoma; parental imprinting; prognostic model; risk score; survival outcomes; GENE-EXPRESSION; MYCN AMPLIFICATION; OUTCOME PREDICTION; PROGNOSTIC MARKER; MICRORNAS; C19MC; SIGNATURE; INVOLVEMENT; REGRESSION; MIR-487B;
D O I
10.1002/cam4.264
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Age at diagnosis, stage, and MYCN amplification are the cornerstones of the risk-stratification score of neuroblastoma that enables defining patients at low- and high risk. Refinement of this stratification is needed to optimize standard treatment and to plan future clinical trials. We investigated whether two parental imprinted miRNAs (miR-487b and miR-516a-5p) may lead to a risk score with a better discrimination. Expression levels of maternal miR-487b and paternal miR-516a-5p were determined using quantitative RT-PCR both for 231 neuroblastoma tumors (derivation set) and 101 independent neuroblastoma tumors (validation set). Survival outcomes were overall survival (OS) and disease-free survival (DFS). Multivariable Cox models were developed from derivation set and their performance evaluated using Akaike's information criterion (AIC) (goodness-of-fit) and time-dependent area under curves (discrimination). The selected model was validated using internal and external validation. The prognostic model including current prognostic factors plus miR-487b, miR-516a-5p, and interaction between two miRNAs was selected. Performance of this model was better in terms of both predictive ability (smallest AIC) and discrimination power (AUC close to 0.70). This model identifies three risk groups: high (3), intermediate (2), and low (1). Hazard ratios (HR) across risk groups were HR2/1 = 6.3 (2.7-14.6), HR3/1 = 14.8 (7.2-30.2) for OS and HR2/1 = 2.8 (1.5-5.4), HR3/1 = 7.2 (3.9-13.4) for DFS. The rank between these three risk groups was maintained and validated when performing internal and external validation. Expression of maternal miR-487b and paternal miR-516a-5p improves the risk stratification. This better discrimination at diagnosis is of clinical utility both for current and future treatments of neuroblastoma patients.
引用
收藏
页码:998 / 1009
页数:12
相关论文
共 50 条
  • [1] A Three-gene Expression Signature Model for Risk Stratification of Patients With Neuroblastoma
    Garcia, I.
    Mayol, G.
    Rios, J.
    Cheung, N. K. V.
    Obertheur, A.
    Fischer, M.
    Maris, J. M.
    Brodeur, G. M.
    Mora, J.
    Lavarino, C.
    EUROPEAN JOURNAL OF CANCER, 2012, 48 : S218 - S218
  • [2] A Three-Gene Expression Signature Model for Risk Stratification of Patients with Neuroblastoma
    Garcia, Idoia
    Mayol, Gemma
    Rios, Jose
    Domenech, Gema
    Cheung, Nai-Kong V.
    Oberthuer, Andre
    Fischer, Matthias
    Maris, John M.
    Brodeur, Garrett M.
    Hero, Barbara
    Rodriguez, Eva
    Sunol, Mariona
    Galvan, Patricia
    de Torres, Carmen
    Mora, Jaume
    Lavarino, Cinzia
    CLINICAL CANCER RESEARCH, 2012, 18 (07) : 2012 - 2023
  • [3] A THREE-GENE EXPRESSION SIGNATURE MODEL FOR RISK STRATIFICATION OF PATIENTS WITH NEUROBLASTOMA
    Garcia, Idoia
    Mayol, Gemma
    Rios, Jose
    Domenech, Gema
    Cheung, Nai-Kong V.
    Oberthuer, Andre
    Fischer, Matthias
    Maris, John M.
    Brodeur, Garrett M.
    Hero, Barbara
    Rodriguez, Eva
    Sunol, Mariona
    Galvan, Patricia
    de Torres, Carmen
    Mora, Jaume
    Lavarino, Cinzia
    PEDIATRIC BLOOD & CANCER, 2012, 59 (06) : 1056 - 1056
  • [4] Gene expression-based classification improves risk estimation of neuroblastoma patients
    Oberthuer, A.
    Hero, B.
    Juraeva, D.
    Faldum, A.
    Kahlert, Y.
    Asgharzadeh, S.
    Seeger, R.
    Scaruffi, P.
    Tonini, G. P.
    Janoueix-Lerosey, I
    Delattre, O.
    Schleiermacher, G.
    Vandesompele, J.
    Vermeulen, J.
    Speleman, F.
    Noguera, R.
    Piqueras, M.
    Benard, J.
    Valent, A.
    Avigad, S.
    Yaniv, I
    Weber, A.
    Christiansen, H.
    Grundy, R. G.
    Schardt, K.
    Schwab, M.
    Eils, R.
    Warnat, P.
    Kaderali, L.
    Simon, T.
    DeCarolis, B.
    Theissen, J.
    Westermann, F.
    Brors, B.
    Berthold, F.
    Fischer, M.
    KLINISCHE PADIATRIE, 2010, 222 (03): : 221 - 221
  • [5] A multigene predictor improves risk stratification for patients with liposarcoma
    Gobble, Ryan M.
    Qin, Li-Xuan
    Brill, Elliott R.
    Angeles, Christina V.
    Lagos-Quintana, Mariana
    DeCarolis, Penelope
    O'Connor, Rachael
    Singer, Samuel
    JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2009, 209 (03) : S51 - S51
  • [6] Customized oligonucleotide microarray gene expression based classification of neuroblastoma patients outperforms current clinical risk stratification
    Oberthuer, Andre
    Berthold, Frank
    Warnat, Patrick
    Hero, Barbara
    Kahlert, Yvonne
    Spitz, Ruediger
    Ernestus, Karen
    Koenig, Rainer
    Haas, Stefan
    Eils, Roland
    Schwab, Manfred
    Brors, Benedikt
    Westermann, Frank
    Fischer, Matthias
    JOURNAL OF CLINICAL ONCOLOGY, 2006, 24 (31) : 5070 - 5078
  • [7] QT variability improves risk stratification in patients with dilated cardiomyopathy
    Fischer, C.
    Seeck, A.
    Schroeder, R.
    Goernig, M.
    Schirdewan, A.
    Figulla, H. R.
    Baumert, M.
    Voss, A.
    PHYSIOLOGICAL MEASUREMENT, 2015, 36 (04) : 699 - 713
  • [8] Restriction Spectrum Imaging Improves Risk Stratification in Patients with Glioblastoma
    Krishnan, A. P.
    Karunamuni, R.
    Leyden, K. M.
    Seibert, T. M.
    Delfanti, R. L.
    Kuperman, J. M.
    Bartsch, H.
    Elbe, P.
    Srikant, A.
    Dale, A. M.
    Kesari, S.
    Piccioni, D. E.
    Hattangadi-Gluth, J. A.
    Farid, N.
    McDonald, C. R.
    White, N. S.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2017, 38 (05) : 882 - 889
  • [9] miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples
    De Preter, Katleen
    Mestdagh, Pieter
    Vermeulen, Joelle
    Zeka, Fjoralba
    Naranjo, Arlene
    Bray, Isabella
    Castel, Victoria
    Chen, Caifu
    Drozynska, Elzbieta
    Eggert, Angelika
    Hogarty, Michael D.
    Ewalzycka-Swieszewska
    London, Wendy B.
    Noguera, Rosa
    Piqueras, Marta
    Bryan, Kenneth
    Schowe, Benjamin
    van Sluis, Peter
    Molenaar, Jan J.
    Schramm, Alexander
    Schulte, Johannes H.
    Stallings, Raymond L.
    Versteeg, Rogier
    Laureys, Genevieve
    Van Roy, Nadine
    Speleman, Frank
    Vandesompele, Jo
    CLINICAL CANCER RESEARCH, 2011, 17 (24) : 7684 - 7692
  • [10] Catecholamine Metabolites, Clinical Outcome and A New Insight into Risk Stratification of Patients with Neuroblastoma
    Verly, I. R. N.
    van Kuilenburg, A. B. P.
    Abeling, N. G. G. M.
    Goorden, S. M. I.
    Fiocco, M.
    Vaz, F. M.
    van Noesel, M. M.
    Zwaan, C. M.
    Kaspers, G. J. L.
    Merks, J. H. M.
    Caron, H. N.
    Tytgat, G. A. M.
    PEDIATRIC BLOOD & CANCER, 2016, 63 : S205 - S205