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Objective:To investigate the differences among targeted capture high depth sequencing (Panel-seq), transcriptome sequencing (RNA-seq) and traditional detection methods in cytogenetic and molecular genetic typing of childhood B-cell acute lymphoblastic leukemia (B-ALL) and their significances.Methods:The clinical data of 152 newly diagnosed childhood B-ALL cases in Guangzhou Women and Children's Medical Center from September 2020 to December 2021 were retrospectively analyzed. Along with traditional cytogenetic and molecular detection methods including karyotyping, fluorescence in situ hybridization (FISH) and 43 kinds of fusion gene quantitative screening for traditional cells and molecular genetic detection, both Panel-seq and RNA-seq were also performed. Panel-seq covered more than 600 genes with common mutations in hematological tumors, from which fusion genes and gene mutations were both analyzed. RNA-seq was used to analyze fusion genes, gene mutations, gene expression, and copy number variation at the chromosome level. High hyperdiploid karyotype was estimated by using gene expression profile clustering and copy number variations. The cytogenetic typing results of all detection methods were also analyzed.Results:Among 152 patients, 93 cases were males and 59 cases were females, with the median age of 4.0 years (0.8-13.0 years). The median blast cell ratio was 0.855 (0.215-0.965). The traditional detection methods could identify 4 cases (2.6%) with BCR-ABL1, 2 cases (1.3%) with CRLF2 gene-related fusion, 27 cases (17.8%) with ETV6-RUNX1, 1 case (0.7%) with iAMP21, 5 cases (3.3%) with MLL rearrangement, 8 cases (5.3%) with TCF3-PBX1 and 22 cases (14.5%) with high hyperdiploid karyotype. Panel-seq could identify 4 cases (2.6%) with BCR-ABL1, 2 cases (1.3%) with CRLF2 gene-related fusions, 27 cases (17.8%) with ETV6-RUNX1, 3 cases (2.0%) with MEF2D gene-related fusions, 1 case (0.7%) with MEIS1-FOXO1, 5 cases (3.3%) with MLL rearrangement, 5 cases (3.3%) with PAX5 gene-related fusions, 8 cases (5.3%) with TCF3-PBX1 fusions, 4 cases (2.6%) with ZNF384 gene-related fusions, and 2 cases (1.3%) with IKZF1 N159Y mutations. Among 152 patients, 1 case with MLL rearrangement didn't receive RNA-seq detection because of sample quality; in other 151 B-ALL cases, 1 case (0.7%) with ACIN1-NUTM1, 4 cases (2.6%) with BCR-ABL1, 3 cases (2.0%) with CRLF2 gene-related fusions, 8 cases (5.3%) with DUX4 gene-related fusions, 27 cases (17.9%) with ETV6-RUNX1, 3 cases (2.0%) with MEF2D gene-related fusions, 1 case (0.7%) with MEIS1-FOXO1, 4 cases (2.6%) with MLL rearrangement, 5 cases (3.3%) with PAX5 gene-related fusions, 1 case (0.7%) with ZMIZ1-ABL1, 8 cases (5.3%) with TCF3-PBX1,4 cases (2.6%) with ZNF384 gene-related fusions, 61 cases (40.4%) with hyperdiploid karyotypes, and 2 cases (1.3%) with IKZF1 N159Y mutations were detected; RNA-seq had obvious advantage in detecting fusion gene and hyperdiploid karyotype. The cytogenetic and molecular genetic typing rates of traditional method, Panel-seq and RNA-seq were 45.4% (69/152), 40.1% (61/152) and 87.4% (132/151), respectively. The combination of the three could identify 89.5% (136/152) of childhood B-ALL patients.Conclusions:The combination of Panel-seq and RNA-seq can increase the detection rate of genetic abnormality in childhood B-ALL, which provides a more accurate molecular genetic classification for B-ALL and the basis for treatment guideline and prognosis judgement.
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Objective To explore the correlation between exon region polymorphism of PPP1R3A gene and schizophrenia in Uygur Chinese population. Methods PPP1R3A gene exon region DNA amplification was performed using multiple PCR targeted capture next-generation sequencing method in 528 patients with schizophrenia and 576 healthy controls of Uyghur descent, Illumina HiSeq X Ten was used for sequencing, the symptoms of schizophrenia were assessed by positive and negative symptoms scale (PANSS). Results The allelic and genotypic distributions in rs1800000 of PPP1R3A gene between patients with schizophrenia and healthy controls had significant difference (P＜0.05), rs1799999 in genotype frequency between the female case and control groups showed significant difference (P＜0.05). Furthermore, the allelic distributions of rs8192686 between male cases and controls had significant difference (P＜0.05). Conclusion PPP1R3A gene rs1800000 may be associated with the development of schizophrenia in Uygur Chinese population; rs1799999 may be a risk factor for susceptibility of female Uygur Chinese schizophrenia; The C allele at rs8192686 may be associated with male Uygur Chinese schizophrenia.