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Variation regarding Lecanicillium spp. Mycoparasite of Coffee Leaf Corrode Pathogen (Hemileia vastatrix) inside Belgium.
Objective To investigate parameters related to quantifying the amount of degeneration in preoperative patients to identify ideal indication of artificial cervical disc replacement (ACDR) in patient with a minimum of 10 years of follow-up data. Methods From January 2004 to August 2008, a total of 44 patients underwent single level Bryan cervical disk replacement performed by the same group of surgeons were involved in this retrospective study, and all of the patients in this group had at least 10 years of follow-up data. Heterotopic ossification (HO) was graded in radiographic images by using the McAfee classification. Preoperative degeneration of cervical spine was evaluated in radiographs based on a quantitative"9 points"scoring system. Univariate analysis and multifactor logistic regression were made to identify significant factors. To determine the cut-off points for the significant factors, a receiver operating characteristic (ROC) curve analysis was conducted. Results The incidence of HO in study group was 61.4%. Based on univariate analysis results, there were significant differences in the scores of disc height, the presence of anterior osteophytes and endplate sclerosis between the HO group and non-HO group (all P less then 0.05), and the indices were included in the multivariate analysis. According to the logistic regression results, disc height and endplate sclerosis were identified as the independent risk factors for HO(OR(95%CI) 10.801(1.202-97.064), 37.870(1.581-907.237), respectively, both P less then 0.05). ROC analysis showed the area under the curve (AUC) of disc height and endplate sclerosis were 0.822 and 0.792, respectively. According to the scoring system, the ROC curve indicated that both the optimal cutoff points were 1.5. Conclusion The incidence of postoperative HO is relatively high among the patients who had more than 10 years follow-up, and the amount of degeneration in the target level before surgery correlated with the incidence of HO.Objective To analyze the possible fusion genes with high-throughput transcriptome sequencing in myeloid leukemia patients with normal karyotype. Methods From May 2017 to January 2019, three cases of myeloid leukemia patients with normal karyotype and negative for common fusion genes from the First Affiliated Hospital of Nanchang University were selected as the research objects. The transcriptome sequencing of bone marrow mononuclear cells was performed by high-throughput gene sequencing technology. Defuse software was used to analyze the gene fusion sequence in the transcriptome data, reverse-transcription polymerase chain reaction (RT-PCR) and Sanger sequencing were used to verify the fusion gene with clear pathological significance. Results All three patients were diagnosed with myeloid leukemia by clinical manifestations, bone marrow cell morphology, immunology, and histochemical staining. Cytogenetic tests showed normal chromosome karyotypes. Fluorescence in situ hybridization and RT-PCR were used to detect BCR-ABL1, PML-RARA, and other common fusion genes. The results were all negative. Transcriptome sequencing and fusion transcripts analysis revealed that these three patients carried rare fusion genes with clear pathological significance, which included BCR-FGFR1, CPSF6-RARG, and NUP98-RARG, respectively. Conclusion Transcriptome sequencing can accurately analyze rare but pathologically significant fusion genes that may exist in myeloid leukemia patients with normal karyotypes.Objective To explore the prognosis effect of the expression of long-chain non-coding RNA (lncRNA) MBNL1-AS1 on acute myeloid leukemia (AML) patients. Methods One hundred and twenty-five AML patients of the Cancer Genome Atlas (TCGA) from November 2001 to March 2010 were involved, including 70 patients who received chemotherapy only and other 55 patients treated with allogeneic hematopoietic stem cell transplantation (allo-HSCT) in addition to chemotherapy. According to the median expression of lncRNA MBNL1-AS1, patients of chemotherapy group were divided into high expression sub-group(n=35) and low expression sub-group (n=35), and patients of allo-HSCT group were also divided into high expression sub-group (n=28) and low expression sub-group (n=27) for prognosis analysis. Clinical characteristics at diagnosis, including peripheral white blood cell counts (WBC), blast percentages in peripheral blood and bone marrow (BM), French-American-British (FAB) subtypes and the frequencies of common genetic mutations in AML were described. The event-free survival (EFS) rate and overall survival (OS) rate of patients in different groups were analyzed, and the influence of the clinical characteristics of patients on the prognosis of AML was analyzed by COX multivariate analysis. Results In the chemotherapy group, patients with low lncRNA-MBNL1-AS1 expression had significantly lower EFS and OS (60.0%, 8.6%) than patients with high lncRNA-MBNL1-AS1 expression (68.6%, 34.3%) (χ²=7.817, 10.880, all P0.05). COX multivariate analysis confirmed that age≥60 years old (EFS HR (95%CI) 6.934 (1.918-25.075),P=0.003;OS HR (95%CI) 4.119 (1.812-9.364), P=0.001), and low expression of lncRNA MBNL1-AS1 (EFS HR (95%CI) 0.354 (0.126-0.941), P=0.038; OS HR (95%CI) 0.424 (0.231-0.778), P=0.006)were independent risk factors for EFS and OS in the chemotherapy group. Conclusion The long-chain non-coding RNA MBNL1-AS1 is related to the prognosis of AML, and its low expression is an independent poor prognostic factor in AML patients.Objective To classify and quantify IKZF1 mutant transcripts in B-cell acute lymphoblastic leukemia (B-ALL) by RNA sequencing (RNA-seq) and bioinformatics analysis. Methods A cohort of 263 B-ALL cases was enrolled at Hebei Yanda Ludaopei Hospital from September 2018 to September 2020. An integrated bioinformatics pipeline was developed to adapt the classification and quantification of IKZF1 transcripts from RNA-seq and was applied to sequencing data of these cases. Selleckchem Ripasudil The IKZF1 mutant transcripts classified by RNA-seq analysis were compared with the qualitative reverse transcription PCR (RT-PCR). Results IKZF1 mutant transcripts were identified in 53 B-ALL patients by RT-PCR and Sanger sequencing, among which IK6 and IK10 transcripts accounted for 67.9% (36/53) and 28.3% (15/53) respectively. Additionally, 2 patients were double positive for IK6 and IK10. RNA-seq analysis identified 51 patients with IKZF1 mutant transcripts. Compared with the RT-PCR result, the detection sensitivity and specificity of RNA-seq analysis reached 94.
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