Clonal architecture in mesothelioma is prognostic and shapes the tumour microenvironment
Malignant Pleural Mesothelioma (MPM) is typically diagnosed 20–50 years after exposure to asbestos and evolves along an unknown evolutionary trajectory. To elucidate this path, we conducted multi-regional exome sequencing of 90 tumour samples from 22 MPMs acquired at surgery. Here we show that exomi...
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Veröffentlicht in: | Nature communications 2021-03, Vol.12 (1), p.1751-12, Article 1751 |
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Sprache: | eng |
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Zusammenfassung: | Malignant Pleural Mesothelioma (MPM) is typically diagnosed 20–50 years after exposure to asbestos and evolves along an unknown evolutionary trajectory. To elucidate this path, we conducted multi-regional exome sequencing of 90 tumour samples from 22 MPMs acquired at surgery. Here we show that exomic intratumour heterogeneity varies widely across the cohort. Phylogenetic tree topology ranges from linear to highly branched, reflecting a steep gradient of genomic instability. Using transfer learning, we detect repeated evolution, resolving 5 clusters that are prognostic, with temporally ordered clonal drivers.
BAP1
/−3p21 and
FBXW7
/-chr4 events are always
early
clonal. In contrast,
NF2
/−22q events, leading to Hippo pathway inactivation are predominantly
late
clonal, positively selected, and when subclonal, exhibit parallel evolution indicating an evolutionary constraint. Very late somatic alteration of
NF2
/22q occurred in one patient 12 years after surgery. Clonal architecture and evolutionary clusters dictate MPM inflammation and immune evasion. These results reveal potentially drugable evolutionary bottlenecking in MPM, and an impact of clonal architecture on shaping the immune landscape, with potential to dictate the clinical response to immune checkpoint inhibition.
The impact of intratumour heterogeneity on immune surveillance and clinical outcomes has not been adequately explored in malignant pleural mesothelioma (MPM). Here the authors analyse the influence of evolution on the survival and immune landscape of MPM patients using multi-region sequencing data. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-021-21798-w |