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

RESUMO

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.


Assuntos
Perfilação da Expressão Gênica/métodos , Regulação Neoplásica da Expressão Gênica , Predisposição Genética para Doença/genética , Genômica/métodos , Leiomiossarcoma/genética , Músculo Liso/metabolismo , Adulto , Idoso , Idoso de 80 Anos ou mais , Evolução Clonal , Estudos de Coortes , Feminino , Humanos , Leiomiossarcoma/classificação , Leiomiossarcoma/diagnóstico , Masculino , Pessoa de Meia-Idade , Músculo Liso/patologia , Mutação , RNA-Seq/métodos , Análise de Sobrevida
2.
Mol Cell ; 77(6): 1307-1321.e10, 2020 03 19.
Artigo em Inglês | MEDLINE | ID: mdl-31954095

RESUMO

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.


Assuntos
Biomarcadores Tumorais/genética , Cromatina/metabolismo , Redes Reguladoras de Genes , Mutação , Neoplasias/genética , Neoplasias/patologia , Sequências Reguladoras de Ácido Nucleico , Proliferação de Células , Cromatina/genética , Biologia Computacional/métodos , Análise Mutacional de DNA , Genoma Humano , Células HEK293 , Humanos
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