Explore the vast range of titles available.

This study explores the genomic alterations that contribute to the formation of a unique subset of low-risk, epithelial differentiated, favorable histology Wilms tumors (WT), tumors that have been characterized by their expression of post-induction renal developmental genes (Subset 1 WT). We demonstrate copy neutral loss of heterozygosity involving 19q13.32-q13.43, unaccompanied by evidence for imprinting by DNA methylation. We further identified loss-of-function somatic mutations in TRIM28 (also known as KAP1), located at 19q13, in 8/9 Subset 1 tumors analyzed. An additional germline TRIM28 mutation was identified in one patient. Retrospective evaluation of previously analyzed WT outside of Subset 1 identified an additional tumor with anaplasia and both TRIM28 and TP53 mutations. A major function of TRIM28 is the repression of endogenous retroviruses early in development. We depleted TRIM28 in HEK293 cells, which resulted in increased expression of endogenous retroviruses, a finding also demonstrated in TRIM28-mutant WT. TRIM28 has been shown by others to be active during early renal development, and to interact with WTX, another gene recurrently mutated in WT. Our findings suggest that inactivation of TRIM28 early in renal development contributes to the formation of this unique subset of FHWTs, although the precise manner in which TRIM28 impacts both normal renal development and oncogenesis remains elusive.

Pediatric acute lymphoblastic leukemia (ALL) is a heterogeneous disease consisting of distinct clinical and biological subtypes that are characterized by specific chromosomal abnormalities or gene mutations. Mutation of genes encoding tyrosine kinases is uncommon in ALL, with the exception of Philadelphia chromosome-positive ALL, where the t(9,22)(q34;q11) translocation encodes the constitutively active BCR-ABL1 tyrosine kinase. We recently identified a poor prognostic subgroup of pediatric BCR-ABL1-negative ALL patients characterized by deletion of IKZF1 (encoding the lymphoid transcription factor IKAROS) and a gene expression signature similar to BCR-ABL1-positive ALL, raising the possibility of activated tyrosine kinase signaling within this leukemia subtype. Here, we report activating mutations in the Janus kinases JAK1 (n = 3), JAK2 (n = 16), and JAK3 (n = 1) in 20 (10.7%) of 187 BCR-ABL1-negative, high-risk pediatric ALL cases. The JAK1 and JAK2 mutations involved highly conserved residues in the kinase and pseudokinase domains and resulted in constitutive JAK-STAT activation and growth factor independence of Ba/F3-EpoR cells. The presence of JAK mutations was significantly associated with alteration of IKZF1 (70% of all JAK-mutated cases and 87.5% of cases with JAK2 mutations; P = 0.001) and deletion of CDKN2A/B (70% of all JAK-mutated cases and 68.9% of JAK2-mutated cases). The JAK-mutated cases had a gene expression signature similar to BCR-ABL1 pediatric ALL, and they had a poor outcome. These results suggest that inhibition of JAK signaling is a logical target for therapeutic intervention in JAK mutated ALL.

Sites of transcription of polyadenylated and nonpolyadenylated RNAs for 10 human chromosomes were mapped at 5-base pair resolution in eight cell lines. Unannotated, nonpolyadenylated transcripts comprise the major proportion of the transcriptional output of the human genome. Of all transcribed sequences, 19.4, 43.7, and 36.9% were observed to be polyadenylated, nonpolyadenylated, and bimorphic, respectively. Half of all transcribed sequences are found only in the nucleus and for the most part are unannotated. Overall, the transcribed portions of the human genome are predominantly composed of interlaced networks of both poly A+ and poly A- annotated transcripts and unannotated transcripts of unknown function. This organization has important implications for interpreting genotype-phenotype associations, regulation of gene expression, and the definition of a gene.

Bringing together cancer genomes from different projects increases power and allows the investigation of pan-cancer, molecular mechanisms. However, working with whole genomes sequenced over several years in different sequencing centres requires a framework to compare the quality of these sequences. We used the Pan-Cancer Analysis of Whole Genomes cohort as a test case to construct such a framework. This cohort contains whole cancer genomes of 2832 donors from 18 sequencing centres. We developed a non-redundant set of five quality control (QC) measurements to establish a star rating system. These QC measures reflect known differences in sequencing protocol and provide a guide to downstream analyses and allow for exclusion of samples of poor quality. We have found that this is an effective framework of quality measures. The implementation of the framework is available at: https://dockstore.org/containers/quay.io/jwerner_dkfz/pancanqc:1.2.2 . Working with cancer genomes from multiple projects can increase investigative power, but quality of sequences can vary. Here, the authors present a framework for comparing whole genome sequencing quality to help researchers guide downstream analyses and exclude poor quality samples.

Analysis of the genomes, exomes and transcriptomes of 1,699 childhood cancers identifies 142 driver genes. Genomic landscape of childhood cancers The genetic alterations that give rise to childhood cancer are less well studied than those that give rise to adult cancers. Two papers in this issue report some of the first pan-cancer analyses of childhood cancers. Stefan Pfister and colleagues studied germline and somatic genomes from 914 young cancer patients, including children, adolescents and young adults. The tumour samples comprised 24 distinct molecular cancer types, including the most frequent and clinically relevant childhood cancers. The team characterized somatic mutation frequencies, genomic alterations, including structural variations and copy-number analysis, and mutational signatures. They found signatures associated with deficiencies of double-stranded break repair across all cancer types. Additionally, 7.6% of patients carried a likely pathogenic germline variant in a candidate cancer predisposition gene. Jinghui Zhang and colleagues analysed the genomes, exomes and transcriptomes of 1,699 paediatric leukaemias and solid tumours. They identified 142 driver genes in paediatric cancers, over half of which were specific to a single histotype. They also characterized copy number alterations and structural variation and identified 11 mutational signatures. Together, these papers provide a comprehensive resource for genomic alterations across common paediatric tumours, and highlight differences compared with the genomic alterations seen in adult cancers. Analysis of molecular aberrations across multiple cancer types, known as pan-cancer analysis, identifies commonalities and differences in key biological processes that are dysregulated in cancer cells from diverse lineages. Pan-cancer analyses have been performed for adult 1 , 2 , 3 , 4 but not paediatric cancers, which commonly occur in developing mesodermic rather than adult epithelial tissues 5 . Here we present a pan-cancer study of somatic alterations, including single nucleotide variants, small insertions or deletions, structural variations, copy number alterations, gene fusions and internal tandem duplications in 1,699 paediatric leukaemias and solid tumours across six histotypes, with whole-genome, whole-exome and transcriptome sequencing data processed under a uniform analytical framework. We report 142 driver genes in paediatric cancers, of which only 45% match those found in adult pan-cancer studies; copy number alterations and structural variants constituted the majority (62%) of events. Eleven genome-wide mutational signatures were identified, including one attributed to ultraviolet-light exposure in eight aneuploid leukaemias. Transcription of the mutant allele was detectable for 34% of protein-coding mutations, and 20% exhibited allele-specific expression. These data provide a comprehensive genomic architecture for paediatric cancers and emphasize the need for paediatric cancer-specific development of precision therapies.

Charles Mullighan, Stephen Hunger, Jinghui Zhang and colleagues report a genomic analysis of 264 pediatric and young adult T-lineage acute lymphoblastic leukemia (T-ALL) samples. They identify 106 candidate driver genes, 53 of which have not been described previously in pediatric T-ALL, as well as associations between mutations and disease stage or subtype. Genetic alterations that activate NOTCH1 signaling and T cell transcription factors, coupled with inactivation of the INK4/ARF tumor suppressors, are hallmarks of T-lineage acute lymphoblastic leukemia (T-ALL), but detailed genome-wide sequencing of large T-ALL cohorts has not been carried out. Using integrated genomic analysis of 264 T-ALL cases, we identified 106 putative driver genes, half of which had not previously been described in childhood T-ALL (for example, CCND3 , CTCF , MYB , SMARCA4 , ZFP36L2 and MYCN ). We describe new mechanisms of coding and noncoding alteration and identify ten recurrently altered pathways, with associations between mutated genes and pathways, and stage or subtype of T-ALL. For example, NRAS / FLT3 mutations were associated with immature T-ALL, JAK3 / STAT5B mutations in HOXA1 deregulated ALL, PTPN2 mutations in TLX1 deregulated T-ALL, and PIK3R1 / PTEN mutations in TAL1 deregulated ALL, which suggests that different signaling pathways have distinct roles according to maturational stage. This genomic landscape provides a logical framework for the development of faithful genetic models and new therapeutic approaches.

A comprehensive molecular analysis of almost 1,000 pediatric subjects with acute myeloid leukemia (AML) uncovers widespread differences in pediatric AML as compared to adult AML, including a higher frequency of structural variants and different mutational patterns and epigenetic signatures. Future studies are needed to characterize the functional relevance of these alterations and to explore age-tailored therapies to improve disease control in younger patients. We present the molecular landscape of pediatric acute myeloid leukemia (AML) and characterize nearly 1,000 participants in Children's Oncology Group (COG) AML trials. The COG–National Cancer Institute (NCI) TARGET AML initiative assessed cases by whole-genome, targeted DNA, mRNA and microRNA sequencing and CpG methylation profiling. Validated DNA variants corresponded to diverse, infrequent mutations, with fewer than 40 genes mutated in >2% of cases. In contrast, somatic structural variants, including new gene fusions and focal deletions of MBNL1 , ZEB2 and ELF1 , were disproportionately prevalent in young individuals as compared to adults. Conversely, mutations in DNMT3A and TP53 , which were common in adults, were conspicuously absent from virtually all pediatric cases. New mutations in GATA2 , FLT3 and CBL and recurrent mutations in MYC -ITD, NRAS , KRAS and WT1 were frequent in pediatric AML. Deletions, mutations and promoter DNA hypermethylation convergently impacted Wnt signaling, Polycomb repression, innate immune cell interactions and a cluster of zinc finger–encoding genes associated with KMT2A rearrangements. These results highlight the need for and facilitate the development of age-tailored targeted therapies for the treatment of pediatric AML.

Elizabeth Perlman and colleagues use genome-wide sequencing, RNA expression, DNA copy number and methylation analyses to characterize the genomic landscape of Wilms tumors. Their integrated analyses implicate two major classes of genetic changes in Wilms tumors that preserve the progenitor state and/or interrupt normal kidney development. We performed genome-wide sequencing and analyzed mRNA and miRNA expression, DNA copy number, and DNA methylation in 117 Wilms tumors, followed by targeted sequencing of 651 Wilms tumors. In addition to genes previously implicated in Wilms tumors ( WT1 , CTNNB1 , AMER1 , DROSHA , DGCR8 , XPO5 , DICER1 , SIX1 , SIX2 , MLLT1 , MYCN , and TP53 ), we identified mutations in genes not previously recognized as recurrently involved in Wilms tumors, the most frequent being BCOR , BCORL1 , NONO , MAX , COL6A3 , ASXL1 , MAP3K4 , and ARID1A. DNA copy number changes resulted in recurrent 1q gain, MYCN amplification, LIN28B gain, and MIRLET7A loss. Unexpected germline variants involved PALB2 and CHEK2. Integrated analyses support two major classes of genetic changes that preserve the progenitor state and/or interrupt normal development.

There is incomplete understanding of genetic heterogeneity and clonal evolution during cancer progression. Here we use deep whole-exome sequencing to describe the clonal architecture and evolution of 20 pediatric B-acute lymphoblastic leukaemias from diagnosis to relapse. We show that clonal diversity is comparable at diagnosis and relapse and clonal survival from diagnosis to relapse is not associated with mutation burden. Six pathways were frequently mutated, with NT5C2 , CREBBP , WHSC1 , TP53 , USH2A , NRAS and IKZF1 mutations enriched at relapse. Half of the leukaemias had multiple subclonal mutations in a pathway or gene at diagnosis, but mostly with only one, usually minor clone, surviving therapy to acquire additional mutations and become the relapse founder clone. Relapse-specific mutations in NT5C2 were found in nine cases, with mutations in four cases being in descendants of the relapse founder clone. These results provide important insights into the genetic basis of treatment failure in ALL and have implications for the early detection of mutations driving relapse. Genetic heterogeneity and clonal evolution contribute to cancer progression. Here Ma et al. use deep whole-exome sequencing to identify recurrently mutated pathways and clonal architecture in pediatric acute lymphoblastic leukaemia, shedding light on the evolutionary trajectory from diagnosis to relapse