Biology subjects

Ziccheddu, B.

Publications and source records attributed to Ziccheddu, B..

2 recordsLinked to original sources

bioRxiv2021

Genomic drivers of large B-cell lymphoma resistance to CD19 CAR-T therapy

Chimeric antigen receptor-reprogrammed autologous T cells directed to CD19 are breakthrough immunotherapies for heavily pretreated patients with aggressive B-cell lymphomas but still fail to cure most patients. Host inflammatory and tumor microenvironmental factors associate with CAR-19 resistance, but the tumor-intrinsic factors underlying these phenomena remain undefined. To characterize genomic drivers of resistance, we interrogated whole genome sequencing of 30 tumor samples from 28 uniformly CAR-19-treated large-cell lymphoma patients. We reveal that patterns of genomic complexity (i.e., chromothripsis and APOBEC mutational activity), and distinct genomic alterations (deletions of RB1 or RHOA) associate with more exhausted immune microenvironments and poor outcome after CAR-19 therapy. Strikingly, pretreatment reduced expression or sub-clonal mutation of CD19 did not affect responses, suggesting CAR-19 therapy successes are due not only to direct antigen-dependent cytotoxicity but require surmounting immune exhaustion in tumor microenvironments to permit broader host responses that eliminate tumors.

cancer biology↗

bioRxiv2020

Copy number signatures predict chromothripsis and associate with poor clinical outcomes in patients with newly diagnosed multiple myeloma

Chromothripsis is detectable in 20-30% of newly diagnosed multiple myeloma (NDMM) patients and is emerging as a new independent adverse prognostic factor. In this study, we interrogate 752 NDMM patients using whole genome sequencing (WGS) to study the relationship of copy number (CN) signatures to chromothripsis and show they are highly associated. CN signatures are highly predictive of the presence of chromothripsis (AUC=0.90) and can be used to identify its adverse prognostic impact. The ability of CN signatures to predict the presence of chromothripsis was confirmed in a validation series of WGS comprised of 235 hematological cancers (AUC=0.97) and an independent series of 34 NDMM (AUC=0.87). We show that CN signatures can also be derived from whole exome data (WES) and using 677 cases from the same series of NDMM, we were able to predict both the presence of chromothripsis (AUC=0.82) and its adverse prognostic impact. CN signatures constitute a flexible tool to identify the presence of chromothripsis and is applicable to WES and WGS data.

genomics↗