FSTL5 is a marker of poor prognosis in non-WNT/non-SHH medulloblastoma.

PURPOSE Integrated genomics approaches have revealed at least four distinct biologic variants of medulloblastoma: WNT (wingless), SHH (sonic hedgehog), group C, and group D. Because of the remarkable clinical heterogeneity of group D tumors and the dismal prognosis of group C patients, it is vital to identify molecular biomarkers that will allow early and effective treatment stratification in these non-WNT/non-SHH tumors. PATIENTS AND METHODS We combined transcriptome and DNA copy-number analyses for 64 primary medulloblastomas. Bioinformatic tools were used to discover marker genes of molecular variants. Differentially expressed transcripts were evaluated for prognostic value in the screening cohort. The prognostic power of follistatin-like 5 (FSTL5) immunopositivity was tested for 235 nonoverlapping medulloblastoma samples on two independent tissue microarrays. RESULTS Comprehensive analyses of transcriptomic and genetic alterations delineate four distinct variants of medulloblastoma. Stable subgroup separation was achieved by using the 300 transcripts that varied the most. Distinct expression patterns of FSTL5 in each molecular subgroup were confirmed by quantitative real-time polymerase chain reaction. Immunopositivity of FSTL5 identified a large cohort of patients (84 of 235 patients; 36%) at high risk for relapse and death. Importantly, more than 50% of non-WNT/non-SHH tumors displayed FSTL5 negativity, delineating a large patient cohort with a good prognosis who would otherwise be considered intermediate or high-risk on the basis of current molecular subgrouping. CONCLUSION FSTL5 expression denoted a dismal prognosis both within and across medulloblastoma subgroups. The addition of FSTL5 immunohistochemistry to existing molecular stratification schemes constitutes a reliable and cost-effective tool for prognostication in future clinical trials of medulloblastoma.

[1]  S. Croul,et al.  Adult medulloblastoma comprises three major molecular variants. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  J. Mesirov,et al.  Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  D. Ellison,et al.  Rapid Diagnosis of Medulloblastoma Molecular Subgroups , 2011, Clinical Cancer Research.

[4]  J. Uhm Medulloblastoma Comprises Four Distinct Molecular Variants , 2011 .

[5]  G. Reifenberger,et al.  Role of LIM and SH3 protein 1 (LASP1) in the metastatic dissemination of medulloblastoma. , 2010, Cancer research.

[6]  R. Arceci Adult and Pediatric Medulloblastomas Are Genetically Distinct and Require Different Algorithms for Molecular Risk Stratification , 2010 .

[7]  G. Rao The miR-17/92 Polycistron Is Up-regulated in Sonic Hedgehog–Driven Medulloblastomas and Induced by N-myc in Sonic Hedgehog–Treated Cerebellar Neural Precursors , 2010 .

[8]  Jeremy Stinson,et al.  Treatment of medulloblastoma with hedgehog pathway inhibitor GDC-0449. , 2009, The New England journal of medicine.

[9]  B. Hinkes,et al.  Long-term outcome and clinical prognostic factors in children with medulloblastoma treated in the prospective randomised multicentre trial HIT'91. , 2009, European journal of cancer.

[10]  Axel Benner,et al.  Outcome prediction in pediatric medulloblastoma based on DNA copy-number aberrations of chromosomes 6q and 17q and the MYC and MYCN loci. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[11]  Paul A. Northcott,et al.  Multiple recurrent genetic events converge on control of histone lysine methylation in medulloblastoma , 2009, Nature Genetics.

[12]  Kazuto Kobayashi,et al.  Laser capture microdissection and cDNA array analysis for identification of mouse KIAA/FLJ genes differentially expressed in the embryonic dorsal spinal cord , 2009, Brain Research.

[13]  S. Clifford,et al.  The potential impact of tumour biology on improved clinical practice for medulloblastoma: progress towards biologically driven clinical trials , 2009, British journal of neurosurgery.

[14]  Dirk Troost,et al.  Integrated Genomics Identifies Five Medulloblastoma Subtypes with Distinct Genetic Profiles, Pathway Signatures and Clinicopathological Features , 2008, PloS one.

[15]  R. Britto,et al.  Novel Glioblastoma Markers with Diagnostic and Prognostic Value Identified through Transcriptome Analysis , 2008, Clinical Cancer Research.

[16]  N. Tarbell,et al.  Medulloblastoma: tumorigenesis, current clinical paradigm, and efforts to improve risk stratification , 2007, Nature Clinical Practice Oncology.

[17]  D. Ellison,et al.  Wnt/Wingless Pathway Activation and Chromosome 6 Loss Characterise a Distinct Molecular Sub-Group of Medulloblastomas Associated with a Favourable Prognosis , 2006, Cell cycle.

[18]  W. Berger,et al.  Deregulation of the activin/follistatin system in hepatocarcinogenesis. , 2006, Journal of hepatology.

[19]  Hidetoshi Shimodaira,et al.  Pvclust: an R package for assessing the uncertainty in hierarchical clustering , 2006, Bioinform..

[20]  T. Curran,et al.  Genomics identifies medulloblastoma subgroups that are enriched for specific genetic alterations. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[21]  Claire L Weston,et al.  beta-Catenin status predicts a favorable outcome in childhood medulloblastoma: the United Kingdom Children's Cancer Study Group Brain Tumour Committee. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  J. Biegel,et al.  Isochromosome 17q Is a Negative Prognostic Factor in Poor-Risk Childhood Medulloblastoma Patients , 2005, Clinical Cancer Research.

[23]  Norbert Gretz,et al.  Identification of metastasis-associated genes in prostate cancer by genetic profiling of human prostate cancer cell lines. , 2005, Anticancer research.

[24]  Helen Baines,et al.  Suppression of the Shh pathway using a small molecule inhibitor eliminates medulloblastoma in Ptc1(+/-)p53(-/-) mice. , 2004, Cancer cell.

[25]  Amar Gajjar,et al.  Clinical, histopathologic, and molecular markers of prognosis: toward a new disease risk stratification system for medulloblastoma. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[26]  Pablo Tamayo,et al.  Metagenes and molecular pattern discovery using matrix factorization , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Jelle J. Goeman,et al.  A global test for groups of genes: testing association with a clinical outcome , 2004, Bioinform..

[28]  Frank Bretz,et al.  Assessment of Optimal Selected Prognostic Factors , 2002 .

[29]  J. Crolla,et al.  Clinical and molecular stratification of disease risk in medulloblastoma , 2001, British Journal of Cancer.

[30]  L. Rorke,et al.  MYC messenger RNA expression predicts survival outcome in childhood primitive neuroectodermal tumor/medulloblastoma. , 2001, Clinical cancer research : an official journal of the American Association for Cancer Research.

[31]  Russ B. Altman,et al.  Missing value estimation methods for DNA microarrays , 2001, Bioinform..

[32]  N. Willich,et al.  Postoperative neoadjuvant chemotherapy before radiotherapy as compared to immediate radiotherapy followed by maintenance chemotherapy in the treatment of medulloblastoma in childhood: results of the German prospective randomized trial HIT '91. , 2000, International journal of radiation oncology, biology, physics.

[33]  E Graf,et al.  Assessment and comparison of prognostic classification schemes for survival data. , 1999, Statistics in medicine.

[34]  D. Bigner,et al.  Molecular pathogenesis of malignant gliomas. , 1999, Current opinion in oncology.

[35]  S. Joos,et al.  Molecular analysis of childhood primitive neuroectodermal tumors defines markers associated with poor outcome. , 1998, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[36]  D. Firth Bias reduction of maximum likelihood estimates , 1993 .