Mutational Spectrum and Prognosis Analysis of Young Patients with Diffuse Large B-Cell Lymphoma Based on Next-Generation Sequencing / 中国实验血液学杂志

OBJECTIVE@#To investigate the mutational spectrum in young patients with diffuse large B-cell lymphoma (DLBCL) based on next generation sequencing (NGS), and to provide a basis for in-depth understanding of the molecular biological characteristics and accurate prognosis of young DLBCL.@*METHODS@#From March 2009 to March 2021, 68 young DLBCL patients with complete initial diagnosis data from the Department of Hematology, The People's Hospital Xinjiang Uygur Autonomous Region were retrospectively analyzed, and their paraffin-embedded tissues were subjected to targeted sequencing analysis by NGS technology (including 475 Target genes), and the differences in gene mutation profiles and signaling pathways between high-risk patients with aaIPI ≥2 and low-intermediate risk patients with aaIPI <2 were compared.@*RESULTS@#A total of 44 high-frequency mutation genes were detected in 68 young DLBCL patients. By comparing the high-frequency mutation genes in aaIPI high-risk group and low-intermediate risk group, it was found that CARD11 mutation in aaIPI high-risk group was significantly higher than that in low-intermediate risk group (P =0.002), while MGA mutation (P =0.037) only appeared in the aaIPI high-risk group, and SPEN mutation (P =0.004) only appeared in the aaIPI low-intermediate risk group. The high-frequency mutation genes and clinical indicators of the aaIPI high-risk group were included in the survival analysis, and the results showed that TP53 (P =0.009, P =0.027), POU2AF1 (P =0.003, P =0.006) and CCND3 (P =0.040, P =0.014) genes mutations were associated with worse PFS and OS, while B2M was associated with better PFS (P =0.014) and OS (P =0.013). Multivariate COX regression analysis showed that the TP53, POU2AF1 and CCND3 were independent risk factors for PFS（P ＝0.021，P =0.005，P =0.020） and OS（P ＝0.042，P =0.010，P =0.013）.@*CONCLUSION@#The aaIPI staging combination with molecular biology markers is more conducive to accurately judging the prognosis of young DLBCL patients. TP53, POU2AF1 and CCND3 mutations predict worse survival in the patients with the aaIPI high-risk group.

Distribution and prognostic value of LymphGen genotyping in patients with diffuse large B-cell lymphoma / 中华血液学杂志

Objective: To investigate the distribution characteristics of LymphGen genotyping in a diffuse large B-cell lymphoma (DLBCL) population and verify its prognostic value. Methods: We collected the clinical data and paraffin-embedded tumor tissue samples of 155 patients with newly diagnosed DLBCL in the People's Hospital of Xinjiang Uygur Autonomous Region from June 2014 to December 2020. DNA was extracted from tumor tissue and 475 gene mutations were detected by next-generation sequencing technology. We investigated the distribution of LymphGen genotyping in the DLBCL population, patients with different COO genotypes in the Xinjiang region, and their effects on PFS and OS. Results: ①Among 155 patients, 105 patients (67.7%) could be genotyped, including 14 (9.0%) for MCD, 26 (16.8%) for BN2, 10 (6.5%) for N1, 8 (5.2%) for EZB, 27 (17.4%) for A53, and 20 (12.9%) for ST2. ②The distribution of each gene subtype was different in different cell origin (COO) types (P=0.021) . ST2 was dominant in the germinal center type (GCB) group (28.8%) , and A53 and MCD were dominant in the non-GCB group (35.8%, 17.0%) . The BN2 type was the most common in both groups (23.1%, 26.4%) . ③There were statistically significant differences in progression-free survival (PFS) and overall survival (OS) among different gene subtypes (P=0.031 and 0.005, respectively) . N1 and A53 had poor prognosis. The 2-year PFS and OS rates of N1 were both (21.3±18.4) %, and the 3-year PFS and OS rates of A53 were (60.9±11.3) %, (46.8±10.9) %, respectively. ④ The 3-year PFS and OS rates of MCD were the best, but the 5-year PFS and OS rates were worse. ⑤In the ROC curve of LymphGen genotyping for OS prediction, the AUC was 0.66, showing a certain degree of differentiation. Conclusion: LymphGen genotyping in the DLBCL population was different from previous reports and was of great significance for the prognosis of patients with DLBCL.

Expression Level and Target Gene Prediction of miR-181b in Patients with Chronic Lymphocytic Leukemia / 中国实验血液学杂志

OBJECTIVE@#To investigate the expression level of miR-181b in CD19+ B lymphocytes of patients with chronic lymphocytic leukemia (CLL), to analyze the relationship between its expression and the prognosis of CLL patients, and to predict the potential target gene of miR-181b in CLL by using bioinformatics.@*METHODS@#Eight-four patients with CLL treated in People's Hospital of Xinjiang Uygur Autonomous Region from June 2013 to June 2018 were selected. and 20 healthy people were selected as control group. RNA was extracted from CD19+B lymphocytes of peripheral blood by magnetic bead sorting, the expression level of miR-181b was detected, and it's expression differences in different IPI groups were analyzed. The correlation between the expression level of miR-181b and PFS of CLL patients also was analyzed. miR-181b target genes were predicted by online database and literatures, and gene annotation analysis and relevant signal pathway analysis were performed for candidate target genes.@*RESULTS@#The expression level of miR-181b in CLL patients was significantly lower than that in control group (P＜0.01); The expression level of miR-181b in the low-risk group was higher than that in high-risk group and extremely high-risk group (P＜0.05), but there was no statistical difference between low-risk group and medium-risk group (P=1.00). The expression level of miR-181b in medium-risk group was higher than that in high-risk group and extremely high-risk group (P＜0.05), but there was no difference between high-risk group and extremely high-risk group (P=1.00). ROC curve results showed that the area under the curve (AUC) was 0.792 (P＜0.01).When the expression level of miR-181b was at the threshold value of 0.279, it showed a better sensitivity (62.9%) and specificity (91.8%). Survival analysis results suggested that compared with the high expression group, the miR-181b low expression group had poor PFS (log rank: P=0.047). Prediction of miR-181b by using the starBase, targetscan and picTar database and its combination with literature reports indicated that CARD11, ZFP36L1, RUNX1, NR4A3, ATP1B1, PUM1 and PLAG1 related with blood diseases, and up-regulated CARD11 and ZFP36L1 participated in lymphoid tumor formation by promoting cell proliferation and inhibiting cell aging.@*CONCLUSION@#The expression level of miR-181b in CLL group are significantly lower than that in the controls group, and the low expression of miR-181b relates with poor prognosis of CLL patients. Through bioinformatics prediction and combined with literature reports, it is speculated that CARD11 and ZFP36L1 as target genes of miR-181b may be participated in the occurrence and development of CLL. Further experiments are needed to verify this result.

Clinical significance of flow cytometry in diagnosis of immunorelated pancytopenia / 中国实验血液学杂志

This study was purposed to explore the diagnostic role of flow cytometry in immunorelated pancytopenia (IRP). After 50 IRP patients were hospitalized, the concentration of serum ferritin, folic acid and vitamin B(12), immunologic test, platelet antibody, test of hepatitis A, B and C, haemolysis test and bone marrow smear examination were carried out, meanwhile the chromosome karyotype analysis and some routine examinations were performed. The 50 patients were divided into group A and group B. Group A consisted of 22 patients who were undefinedly diagnosed and intended to diagnosed as IRP, group B consisted of 28 definedly diagnosed patients with hematologic malignancies, including 7 cases of aplastic anemia, 2 of paroxysmal nocturnal hemoglobinuria, 10 of myelodysplastic syndrome, 9 of megaloblastic anemia. In addition, 30 normal people were used as normal control group (group C). For groups A and B, the binding autoantibodies of bone marrow stem/progenitor cells, erythroblasts and myelocytes were detected by flow cytometry, meantime the ratio of total B-(CD10(+)) and CD5(+) B-lymphocytes in peripheral blood was assayed. For control group, the ratios of CD19(+) and CD5(+) B lymphocytes in peripheral blood were determined alone. The results indicated that the detection of bone marrow autoantibodies in 20 patients of group A showed positive with 90.90%. The IgG type was found mostly in antibody binding types, next the IgM type, the IgA type was fewer. The detection of bone marrow autoantibodies of 2 patients in group B showed positive with 7.14%. The positive rate in group A was obviously higher than that in group B (p < 0.01). The ratios of CD19(+) and CD5(+) B lymphocyte in peripheral blood were significant higher in group A than that in group B and control group (p < 0.01), but there was no significant difference between groups B and control. It is concluded that the application of flow cytometry in detecting the autoantibodies of bone marrow cells and CD19(+) B-and CD5(+) B-lymphocyte in peripheral blood can provide reliable diagnostic evidence and detection measure for diagnosis and differential diagnosis of IRP, as well as may contribute to draw up more effective therapeutic strategy.