Molecular Characterization Reveals Subclasses of 1q Gain in Intermediate Risk Wilms Tumors

Chromosomal alterations have recurrently been identified in Wilms tumors (WTs) and some are associated with poor prognosis. Gain of 1q (1q+) is of special interest given its high prevalence and is currently actively studied for its prognostic value. However, the underlying mutational mechanisms and functional effects remain unknown. For 30 primary WTs, we integrated somatic SNVs, CNs and SVs with expression data and distinguished four clusters characterized by affected biological processes: muscle differentiation, immune system, kidney development and proliferation. We identified 1q+ in eight tumors that differ in mutational mechanisms, subsequent rearrangements and genomic contexts. 1q+ tumors were present in all four expression clusters and individual tumors overexpress different genes on 1q. Through integrating CNs, SVs and gene expression, we identified subgroups of 1q+ tumors reflecting differences in the functional effect of 1q gain, indicating that expression data is likely needed for further risk stratification of 1q+ WTs.

[1]  K. Hoadley,et al.  Genetic changes associated with relapse in favorable histology Wilms tumor: A Children’s Oncology Group AREN03B2 study , 2022, Cell reports. Medicine.

[2]  E. Cuppen,et al.  MutationalPatterns: the one stop shop for the analysis of mutational processes , 2021, bioRxiv.

[3]  J. Trent,et al.  Genomic and Transcriptomic Analysis of Relapsed and Refractory Childhood Solid Tumors Reveals a Diverse Molecular Landscape and Mechanisms of Immune Evasion , 2021, Cancer Research.

[4]  G. Macintyre,et al.  CNpare: matching DNA copy number profiles , 2021, bioRxiv.

[5]  P. Kemmeren,et al.  Systematic discovery of gene fusions in pediatric cancer by integrating RNA-seq and WGS , 2021, bioRxiv.

[6]  G. Mills,et al.  Uncoupling of gene expression from copy number presents therapeutic opportunities in aneuploid cancers , 2021, Cell reports. Medicine.

[7]  H. Kovar,et al.  Systematic review of the immunological landscape of Wilms tumors , 2021, Molecular therapy oncolytics.

[8]  Xiaochen Bo,et al.  clusterProfiler 4.0: A universal enrichment tool for interpreting omics data , 2021, Innovation.

[9]  S. Subramaniam,et al.  Temporal mechanisms of myogenic specification in human induced pluripotent stem cells , 2021, Science Advances.

[10]  Alexander R. Pico,et al.  WikiPathways: connecting communities , 2020, Nucleic Acids Res..

[11]  Patrick Kemmeren,et al.  Trecode: a FAIR eco-system for the analysis and archiving of omics data in a combined diagnostic and research setting , 2020, bioRxiv.

[12]  Alboukadel Kassambara,et al.  Pipe-Friendly Framework for Basic Statistical Tests [R package rstatix version 0.6.0] , 2020 .

[13]  Tariq Ahmad,et al.  A structural variation reference for medical and population genetics , 2020, Nature.

[14]  Kristian Cibulskis,et al.  Calling Somatic SNVs and Indels with Mutect2 , 2019, bioRxiv.

[15]  A. Kundaje,et al.  The ENCODE Blacklist: Identification of Problematic Regions of the Genome , 2019, Scientific Reports.

[16]  S. Behjati,et al.  The genetic changes of Wilms tumour , 2019, Nature Reviews Nephrology.

[17]  Y. Arai,et al.  Combined Genetic and Chromosomal Characterization of Wilms Tumors Identifies Chromosome 12 Gain as a Potential New Marker Predicting a Favorable Outcome12 , 2018, Neoplasia.

[18]  M. Gessler,et al.  The UMBRELLA SIOP–RTSG 2016 Wilms tumour pathology and molecular biology protocol , 2018, Nature Reviews Urology.

[19]  Ville Mustonen,et al.  The repertoire of mutational signatures in human cancer , 2018, Nature.

[20]  J. Mora,et al.  Chemotherapy and terminal skeletal muscle differentiation in WT1‐mutant Wilms tumors , 2018, Cancer medicine.

[21]  Michael C. Heinold,et al.  The landscape of genomic alterations across childhood cancers , 2018, Nature.

[22]  C. Rübe,et al.  Position paper: Rationale for the treatment of Wilms tumour in the UMBRELLA SIOP–RTSG 2016 protocol , 2017, Nature Reviews Urology.

[23]  Qing-Rong Chen,et al.  A Children's Oncology Group and TARGET Initiative Exploring the Genetic Landscape of Wilms Tumor , 2017, Nature Genetics.

[24]  Moriah H Nissan,et al.  OncoKB: A Precision Oncology Knowledge Base. , 2017, JCO precision oncology.

[25]  Daniel L. Cameron,et al.  GRIDSS: sensitive and specific genomic rearrangement detection using positional de Bruijn graph assembly , 2017, bioRxiv.

[26]  James R. Anderson,et al.  Association of Chromosome 1q Gain With Inferior Survival in Favorable-Histology Wilms Tumor: A Report From the Children's Oncology Group. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[27]  M. O'sullivan,et al.  Gain of 1q As a Prognostic Biomarker in Wilms Tumors (WTs) Treated With Preoperative Chemotherapy in the International Society of Paediatric Oncology (SIOP) WT 2001 Trial: A SIOP Renal Tumours Biology Consortium Study , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[28]  George D. Cresswell,et al.  Intra-Tumor Genetic Heterogeneity in Wilms Tumor: Clonal Evolution and Clinical Implications , 2016, EBioMedicine.

[29]  Xiaoyu Chen,et al.  Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications , 2016, Bioinform..

[30]  F. Liu,et al.  Genetic variation frequencies in Wilms' tumor: A meta‐analysis and systematic review , 2016, Cancer science.

[31]  F. Cunningham,et al.  The Ensembl Variant Effect Predictor , 2016, bioRxiv.

[32]  P. Grundy,et al.  Genomic imbalances pinpoint potential oncogenes and tumor suppressors in Wilms tumors , 2016, Molecular Cytogenetics.

[33]  J. Mesirov,et al.  The Molecular Signatures Database Hallmark Gene Set Collection , 2015 .

[34]  Eckart Meese,et al.  Mutations in the SIX1/2 pathway and the DROSHA/DGCR8 miRNA microprocessor complex underlie high-risk blastemal type Wilms tumors. , 2015, Cancer cell.

[35]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[36]  Roland Eils,et al.  circlize implements and enhances circular visualization in R , 2014, Bioinform..

[37]  James R. Anderson,et al.  Gain of 1q is associated with inferior event‐free and overall survival in patients with favorable histology Wilms tumor: A report from the Children's Oncology Group , 2013, Cancer.

[38]  Lars Feuk,et al.  The Database of Genomic Variants: a curated collection of structural variation in the human genome , 2013, Nucleic Acids Res..

[39]  Mauricio O. Carneiro,et al.  From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.

[40]  V. Beneš,et al.  DELLY: structural variant discovery by integrated paired-end and split-read analysis , 2012, Bioinform..

[41]  Chiang-Ching Huang,et al.  Clinically relevant subsets identified by gene expression patterns support a revised ontogenic model of Wilms tumor: a Children's Oncology Group Study. , 2012, Neoplasia.

[42]  C. Cole,et al.  COSMIC: the catalogue of somatic mutations in cancer , 2011, Genome Biology.

[43]  Nazneen Rahman,et al.  Generation of trisomies in cancer cells by multipolar mitosis and incomplete cytokinesis , 2010, Proceedings of the National Academy of Sciences.

[44]  J. Mora,et al.  Wilms tumor cells with WT1 mutations have characteristic features of mesenchymal stem cells and express molecular markers of paraxial mesoderm. , 2010, Human molecular genetics.

[45]  Hadley Wickham,et al.  ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .

[46]  Gudrun Schleiermacher,et al.  WNT/β‐catenin pathway activation in Wilms tumors: A unifying mechanism with multiple entries? , 2009, Genes, chromosomes & cancer.

[47]  Rolf Gebhardt,et al.  Correlation between β-catenin mutations and expression of Wnt-signaling target genes in hepatocellular carcinoma , 2008, Molecular Cancer.

[48]  N. Breslow,et al.  Loss of heterozygosity for chromosomes 1p and 16q is an adverse prognostic factor in favorable-histology Wilms tumor: a report from the National Wilms Tumor Study Group. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[49]  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.

[50]  J. Mesirov,et al.  The Molecular Signatures Database (MSigDB) hallmark gene set collection. , 2015, Cell systems.

[51]  Cedric E. Ginestet ggplot2: Elegant Graphics for Data Analysis , 2011 .