Diminished overall survival rate of non-Hodgkin lymphoma (NHL) patients treated with a combination regimen of rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) has been recently linked to recurrent somatic mutations activating FOXO1. Despite of the clinical relevance of this finding, the molecular mechanism driving resistance to R-CHOP therapy remains largely unknown. Herein, we investigated the potential role of FOXO1 in the therapeutic efficacy of rituximab, the only targeted therapy included in the R-CHOP regimen. We found CD20 transcription is negatively regulated by FOXO1 in NHL cell lines and in human lymphoma specimens carrying activating mutations of . Furthermore, both the expression of exogenous mutants of and the inhibition of AKT led to FOXO1 activation in lymphoma cells, increased binding to promoter and diminished CD20 expression levels. In contrast, a disruption of FOXO1 with CRISPR/Cas9 genome-editing (sgFOXO1) resulted in CD20 upregulation, improved the cytotoxicity induced by rituximab and the survival of mice with sgFOXO1 tumors. Accordingly, pharmacological inhibition of FOXO1 activity in primary samples upregulated surface CD20 levels. Importantly, FOXO1 was required for the downregulation of CD20 levels by the clinically tested inhibitors of BTK, SYK, PI3K and AKT. Taken together, these results indicate for the first time that the AKT-unresponsive mutants of FOXO1 are important determinant of cell response to rituximab-induced cytotoxicity, and suggest that the genetic status of together with its transcriptional activity need further attention while designing anti-CD20 antibodies based regimens for the therapy of pre-selected lymphomas.
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http://dx.doi.org/10.1080/2162402X.2017.1423183 | DOI Listing |
Front Biosci (Schol Ed)
December 2024
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia.
Background: Uterine fibroids (UF) is the most common benign tumour of the female reproductive system. We investigated the joint contribution of genome-wide association studies (GWAS)-significant loci and environment-associated risk factors to the UF risk, along with epistatic interactions between single nucleotide polymorphisms (SNPs).
Methods: DNA samples from 737 hospitalised patients with UF and 451 controls were genotyped using probe-based PCR for seven common GWAS SNPs: rs117245733 , rs547025 rs2456181 , rs7907606 , , rs58415480 , rs7986407 , and rs72709458 .
Oncol Res
December 2024
Department of Rehabilitation, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Background: Transmembrane emp24 trafficking protein 3 (TMED3) is associated with the development of several tumors; however, whether TMED3 regulates the progression of prostate cancer remains unclear.
Materials And Methods: Short hairpin RNA was performed to repress TMED3 in prostate cancer cells (DU145 cells) and in a prostate cancer mice model to determine its function in prostate cancer and .
Results: In the present study, we found that TMED3 was highly expressed in prostate cancer cells.
Int Immunopharmacol
December 2024
Department of Dermatology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
The Sirtuins family (SIRT) has been implicated in numerous diseases, including psoriasis.However, the precise role of SIRT6 in psoriasis remains unclear. The analysis of publicly available RNA-seq data from GEO profiles showed that SIRT6 expression levels was significantly elevated in the lesional skins from patients with psoriasis, as compared to the non-lesional skins or the skins from normal healthy donors.
View Article and Find Full Text PDFClin Epigenetics
December 2024
The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing, China.
Sci Rep
December 2024
Departments of Animal and Food Sciences, Biological Sciences, Medical and Molecular Sciences, and Microbiology Graduate Program, University of Delaware, Newark, DE, USA.
The transcriptional regulation of gene expression in the latter stages of follicular development in laying hen ovarian follicles is not well understood. Although differentially expressed genes (DEGs) have been identified in pre-recruitment and pre-ovulatory stages, the master regulators driving these DEGs remain unknown. This study addresses this knowledge gap by utilizing Master Regulator Analysis (MRA) combined with the Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) for the first time in laying hen research to identify master regulators that are controlling DEGs in pre-recruitment and pre-ovulatory phases.
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