Transcriptomics

Dataset Information

0

MTOR inhibition amplifies the anti-lymphoma effect of PI3Kβ/δ blockage in diffuse large B-cell lymphoma


ABSTRACT: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous diagnostic category that can be stratified in molecular subtypes based on gene expression profiles and genetic alterations. As roughly one-third of DLBCL patients do not sustainably respond to the current standard chemo-immunotherapy, novel treatment options targeting oncogenic pathways might improve their outcome. Chronic B-cell receptor signaling or PTEN deficiency drive the constitutive activation of the phosphoinositide 3-kinase (PI3K). Since pan-PI3K inhibitors cause severe side effects, we investigated the anti-lymphoma efficacy of the specific PI3Kβ/δ inhibitor AZD8186. We identified a subset of DLBCL models within activated B cell-like (ABC) and germinal center B cell-like (GCB) DLBCL that were sensitive to AZD8186 treatment. On the molecular level, PI3Kβ/δ inhibition decreased the pro-survival nuclear factor kappa-B (NF-κB) and activator protein 1 (AP-1) activity or led to downregulation of the oncogenic transcription factor MYC. In AZD8186-resistant models, we detected a feedback activation of the PI3K/AKT/mTOR pathway following PI3Kβ/δ inhibition. The combined treatment with AZD8186 and the mTOR inhibitor AZD2014 overcame resistance to PI3Kβ/δ inhibition and completely prevented outgrowth of lymphoma cells in vivo in cell line- and patient-derived xenograft mouse models. Collectively, our study reveals that subsets of DLBCLs are addicted to PI3Kβ/δ signaling and thus identifies a previously unappreciated role of the PI3Kβ isoform in DLBCL survival. Furthermore, our data demonstrate that combined targeting of PI3Kβ/δ and mTOR is effective in all major DLBCL subtypes supporting the evaluation of this strategy in a clinical trial setting.

ORGANISM(S): Homo sapiens

PROVIDER: GSE212746 | GEO | 2022/11/07

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA877126 | ENA
2013-07-09 | E-GEOD-45495 | biostudies-arrayexpress
2013-07-09 | GSE45495 | GEO
2017-07-01 | GSE92619 | GEO
2017-02-08 | GSE94610 | GEO
2013-12-14 | E-GEOD-53309 | biostudies-arrayexpress
2019-08-17 | GSE135914 | GEO
2011-10-16 | E-GEOD-32018 | biostudies-arrayexpress
2023-07-30 | PXD009290 | Pride
2013-12-14 | GSE53309 | GEO