0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract 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.
Nathaniel D. Anderson, Yael Babichev, Fabio Fuligni, Federico Comitani, Mehdi Layeghifard, Rosemarie E. Venier, Stefan C. Dentro, Anant Maheshwari, Sheena Guram, Claire Wunker, John D Thompson, Kyoko E. Yuki, Huayun Hou, Matthew Zatzman, Nicholas Light, Marcus Q. Bernardini, Jay S. Wunder, Irene L. Andrulis, Peter C. Ferguson, Albiruni R. Abdul Razak, Carol J. Swallow, James J. Dowling, Rima Al‐awar, Richard Marcellus, Marjan Rouzbahman, Moritz Gerstung, Daniel Durocher, Ludmil B. Alexandrov, Brendan C. Dickson, Rebecca A. Gladdy, Adam Shlien (2021). Lineage-defined leiomyosarcoma subtypes emerge years before diagnosis and determine patient survival. , 12(1), DOI: https://doi.org/10.1038/s41467-021-24677-6.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
31
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1038/s41467-021-24677-6
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access