Pharmacogenomic Analyses Implicate B Cell Developmental Status and MKL1 as Determinants of Sensitivity toward Anti-CD20 Monoclonal Antibody Therapy.
George W SmallFarida S AkhtariAdrian J GreenTammy M HavenerMichael SikesJulia Coelho França QuintanilhaRicardo D GonzalezDavid M ReifAlison A Motsinger-ReifHoward L McLeodTim WiltshirePublished in: Cells (2023)
Monoclonal antibody (mAb) therapy directed against CD20 is an important tool in the treatment of B cell disorders. However, variable patient response and acquired resistance remain important clinical challenges. To identify genetic factors that may influence sensitivity to treatment, the cytotoxic activity of three CD20 mAbs: rituximab; ofatumumab; and obinutuzumab, were screened in high-throughput assays using 680 ethnically diverse lymphoblastoid cell lines (LCLs) followed by a pharmacogenomic assessment. GWAS analysis identified several novel gene candidates. The most significant SNP, rs58600101, in the gene MKL1 displayed ethnic stratification, with the variant being significantly more prevalent in the African cohort and resulting in reduced transcript levels as measured by qPCR. Functional validation of MKL1 by shRNA-mediated knockdown of MKL1 resulted in a more resistant phenotype. Gene expression analysis identified the developmentally associated TGFB1I1 as the most significant gene associated with sensitivity. qPCR among a panel of sensitive and resistant LCLs revealed immunoglobulin class-switching as well as differences in the expression of B cell activation markers. Flow cytometry showed heterogeneity within some cell lines relative to surface Ig isotype with a shift to more IgG + cells among the resistant lines. Pretreatment with prednisolone could partly reverse the resistant phenotype. Results suggest that the efficacy of anti-CD20 mAb therapy may be influenced by B cell developmental status as well as polymorphism in the MKL1 gene. A clinical benefit may be achieved by pretreatment with corticosteroids such as prednisolone followed by mAb therapy.
Keyphrases
- bone marrow
- monoclonal antibody
- genome wide
- copy number
- genome wide identification
- high throughput
- flow cytometry
- single cell
- induced apoptosis
- poor prognosis
- stem cells
- nk cells
- dna methylation
- oxidative stress
- gene expression
- transcription factor
- cell proliferation
- replacement therapy
- diffuse large b cell lymphoma
- rna seq
- binding protein
- signaling pathway
- cell therapy
- data analysis