Mouse Anti-Human PTPRC Hybridoma [HBQ 9.4]

Further improvement of outcome in childhood acute lymphoblastic leukemia could be achieved by identifying additional high-risk patients who may benefit from intensified treatment. We earlier identified PTPRC (CD45) gene expression as a potential new stratification marker and now analyzed the prognostic relevance of CD45 protein expression. CD45 was measured by flow cytometry in 1065 patients treated according to the ALL-BFM-2000 protocol. The 75th percentile was used as cut-off to distinguish a CD45-high from a CD45-low group. As mean CD45 expression was significantly higher in T-cell acute lymphoblastic leukemia than in B-cell-precursor acute lymphoblastic leukemia (P<0.0001), the analysis was performed separately in both groups. In B-cell-precursor acute lymphoblastic leukemia we observed a significant association of a high CD45 expression with older age, high initial white blood cell count, ETV6/RUNX1 negativity, absence of high hyperdiploidy (P<0.0001), MLL/AF4 positivity (P=0.002), BCR/ABL1 positivity (P=0.007), prednisone poor response (P=0.002) and minimal residual disease (P<0.0001). In T-cell acute lymphoblastic leukemia we observed a significant association with initial white blood cell count (P=0.0003), prednisone poor response (P=0.01), and minimal residual disease (P=0.02). Compared to CD45-low patients, CD45-high patients had a lower event-free survival rate (B-cell-precursor acute lymphoblastic leukemia: 72 +/- 3% versus 86 +/- 1%, P<0.0001; T-cell acute lymphoblastic leukemia: 60 +/- 8% versus 78 +/- 4%, P=0.02), which was mainly attributable to a higher cumulative relapse incidence (B-cell-precursor acute lymphoblastic leukemia: 22 +/- 3% versus 11 +/- 1%, P<0.0001; T-cell acute lymphoblastic leukemia: 31 +/- 8% versus 11 +/- 3%, P=0.003) and kept its significance in multivariate analysis considering sex, age, initial white blood cell count, and minimal residual disease in B-cell-precursor-and T-cell acute lymphoblastic leukemia, and additionally presence of ETV6/RUNX1, MLL/AF4 and BCR/ABL1 rearrangements in B-cell-precursor acute lymphoblastic leukemia (P=0.002 and P=0.025, respectively). Consideration of CD45 expression may serve as an additional stratification tool in BFM-based protocols.

Aim of the study: Chronic glomerulonephritis (CGN) is the most common form of primary glomerular disease. Qi Teng Xiao Zhuo granules have been proposed as a prescription of traditional Chinese medicine (TCM) for treatment of CGN, however,the comprehensive molecular mechanism underlying this therapeutic effectremains unclear to date. Our study aimed to evaluate and analyze the possible roles and molecular mechanisms of Qi Teng Xiao Zhuo granule-mediated treatment of CGN induced by adriamycin in rats. Materials and Methods: RNA-sequencing and real-time polymerase chain reaction (RT-PCR) were applied to identify specifically expressed long noncoding RNAs (lncRNAs) in glomerular tissues of rats from the control group, adriamycin-induced group, and Qi Teng Xiao Zhuo granules group (n = 3). Differentially expressed lncRNAs and mRNAs (messenger RNAs) were screened out among the 3 groups. Gene ontology (GO) and pathway enrichment analyses were performed to analyze the biological functions and pathways for mRNAs. LncRNA-mRNA co-expression network was constructed to analyse for the genes. The protein protein interaction (PPI) network was visualized. Results: A total of 473 significantly up and down-regulated lncRNAs, 753 up and down-regulated mRNAs were identified. Additionally, it is worth noting that TOP2a (topoisomerase (DNA) II alpha), with the highest connectivity degree in PPI network, was enriched in various kinds of pathways. Coding-non-coding gene co-expression networks (CNC network) were drawn based on the correlation analysis between lncRNAs and mRNAs. Ten lncRNAs, NONRATT009275.2, NONRATT025409.2, NONRATT025419.2, MSTRG.7681.1, ENSRNOT00000084373, NONRATT000512.2, NONRATT006734.2, ENSRNOT00000084386, NONRATT021738.2, ENSRNOT00000084080, were selected to analyse the relationship between LncRNAs and Qi Teng Xiao Zhuo granules via the CNC network (Coding-non-coding gene co-expression networks) and GO analysis. Real-time PCR results confirmed that the six lncRNAs were specifically expressed in the Qi Teng Xiao Zhuo granules rats. Conclusions: The ten IncRNAs might play important roles in the Qi Teng Xiao Zhuo granules treatment of CGN. Key genes, such as Ptprc (protein tyrosine phosphatase, receptor type, C), TOP2a, Fos (FBJ osteosarcoma oncogene), Myc (myelocytomatosis oncogene), etc, may be crucial biomarkers for Qi Teng Xiao Zhuo granules.