Mitigating the BFL1-mediated antiapoptotic pathway in diffuse large B cell lymphoma by inhibiting HDACs.

Endogenous BFL1 expression renders diffuse large B-cell lymphoma (DLBCL) cells insensitive to B-cell lymphoma 2 (BCL2) and/or MCL1 inhibitors. Considering the difficulties in developing a direct BFL1 inhibitor, we intended to inhibit histone deacetylase (HDAC) to mitigate the biological role of BFL1 by modulating WT1 and NOXA. Cells expressing high BFL1 exhibited enhanced sensitivity to pan-HDAC inhibitor compared to low BFL1 expressing cells, mainly attributable to the difference in the amount of apoptosis. HDAC inhibitors decreased BFL1 and WT1 expressions while increasing NOXA levels. The BFL1 knockdown experiment demonstrated that HDAC inhibitor's sensitivity depends on the BFL1 expression in DLBCL cells. Furthermore, we found that the specific HDAC class was expected to play a critical role in BFL1 inhibition by comparing the effects of several HDAC inhibitors. Thus, our study provides a rationale for using HDAC inhibitors to induce apoptosis in DLBCL patients using BFL1 as a predictive biomarker.

Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment.

BACKGROUND: Although anti-apoptotic proteins of the B-cell lymphoma-2 (BCL2) family have been utilized as therapeutic targets in acute myeloid leukaemia (AML), their complicated regulatory networks make individualized therapy difficult. This study aimed to discover the transcriptional signatures of BCL2 family genes that reflect regulatory dynamics, which can guide individualized therapeutic strategies. METHODS: From three AML RNA-seq cohorts (BeatAML, LeuceGene, and TCGA; n = 451, 437, and 179, respectively), we constructed the BCL2 family signatures (BFSigs) by applying an innovative gene-set selection method reflecting biological knowledge followed by non-negative matrix factorization (NMF). To demonstrate the significance of the BFSigs, we conducted modelling to predict response to BCL2 family inhibitors, clustering, and functional enrichment analysis. Cross-platform validity of BFSigs was also confirmed using NanoString technology in a separate cohort of 47 patients. RESULTS: We established BFSigs labeled as the BCL2, MCL1/BCL2, and BFL1/MCL1 signatures that identify key anti-apoptotic proteins. Unsupervised clustering based on BFSig information consistently classified AML patients into three robust subtypes across different AML cohorts, implying the existence of biological entities revealed by the BFSig approach. Interestingly, each subtype has distinct enrichment patterns of major cancer pathways, including MAPK and mTORC1, which propose subtype-specific combination treatment with apoptosis modulating drugs. The BFSig-based classifier also predicted response to venetoclax with remarkable performance (area under the ROC curve, AUROC = 0.874), which was well-validated in an independent cohort (AUROC = 0.950). Lastly, we successfully confirmed the validity of BFSigs using NanoString technology. CONCLUSIONS: This study proposes BFSigs as a biomarker for the effective selection of apoptosis targeting treatments and cancer pathways to co-target in AML.

Controlling orientation and functionalization in thin films of block copolymers.

Functionalizing and controlling nanostructures resulting from block copolymer self-assembly are key factors in defining their application. In this work, a simple but quite general route to achieve both goals simultaneously is discussed. In thin films of polystyrene-block-poly(vinyl pyridine) (PS-b-PVP) with small concentrations of a gold salt, the salt is found to complex with the PVP block which leads to an orientation of the microdomains normal to the surface after solvent annealing together with functionalization. By increasing the amount of gold salt, on the other hand, micelles are found to form in solutions leading to a range of different morphologies in the thin films.