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1.
Nat Commun ; 12(1): 4496, 2021 07 23.
Article En | MEDLINE | ID: mdl-34301934

Leiomyosarcomas (LMS) are genetically heterogeneous tumors differentiating along smooth muscle lines. Currently, LMS treatment is not informed by molecular subtyping and is associated with highly variable survival. While disease site continues to dictate clinical management, the contribution of genetic factors to LMS subtype, origins, and timing are unknown. Here we analyze 70 genomes and 130 transcriptomes of LMS, including multiple tumor regions and paired metastases. Molecular profiling highlight the very early origins of LMS. We uncover three specific subtypes of LMS that likely develop from distinct lineages of smooth muscle cells. Of these, dedifferentiated LMS with high immune infiltration and tumors primarily of gynecological origin harbor genomic dystrophin deletions and/or loss of dystrophin expression, acquire the highest burden of genomic mutation, and are associated with worse survival. Homologous recombination defects lead to genome-wide mutational signatures, and a corresponding sensitivity to PARP trappers and other DNA damage response inhibitors, suggesting a promising therapeutic strategy for LMS. Finally, by phylogenetic reconstruction, we present evidence that clones seeding lethal metastases arise decades prior to LMS diagnosis.


Gene Expression Profiling/methods , Gene Expression Regulation, Neoplastic , Genetic Predisposition to Disease/genetics , Genomics/methods , Leiomyosarcoma/genetics , Muscle, Smooth/metabolism , Adult , Aged , Aged, 80 and over , Clonal Evolution , Cohort Studies , Female , Humans , Leiomyosarcoma/classification , Leiomyosarcoma/diagnosis , Male , Middle Aged , Muscle, Smooth/pathology , Mutation , RNA-Seq/methods , Survival Analysis
2.
Mol Cell ; 77(6): 1307-1321.e10, 2020 03 19.
Article En | MEDLINE | ID: mdl-31954095

A comprehensive catalog of cancer driver mutations is essential for understanding tumorigenesis and developing therapies. Exome-sequencing studies have mapped many protein-coding drivers, yet few non-coding drivers are known because genome-wide discovery is challenging. We developed a driver discovery method, ActiveDriverWGS, and analyzed 120,788 cis-regulatory modules (CRMs) across 1,844 whole tumor genomes from the ICGC-TCGA PCAWG project. We found 30 CRMs with enriched SNVs and indels (FDR < 0.05). These frequently mutated regulatory elements (FMREs) were ubiquitously active in human tissues, showed long-range chromatin interactions and mRNA abundance associations with target genes, and were enriched in motif-rewiring mutations and structural variants. Genomic deletion of one FMRE in human cells caused proliferative deficiencies and transcriptional deregulation of cancer genes CCNB1IP1, CDH1, and CDKN2B, validating observations in FMRE-mutated tumors. Pathway analysis revealed further sub-significant FMREs at cancer genes and processes, indicating an unexplored landscape of infrequent driver mutations in the non-coding genome.


Biomarkers, Tumor/genetics , Chromatin/metabolism , Gene Regulatory Networks , Mutation , Neoplasms/genetics , Neoplasms/pathology , Regulatory Sequences, Nucleic Acid , Cell Proliferation , Chromatin/genetics , Computational Biology/methods , DNA Mutational Analysis , Genome, Human , HEK293 Cells , Humans
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