title: CD3D and PRKCQ work together to discriminate between B-cell and T-cell acute lymphoblastic leukemia.
abstract: Different therapeutic methods have been developed for the B-cell and T-cell subtypes of acute lymphoblastic leukemia (ALL). The identification of molecular biomarkers that can accurately discriminate between B-cell and T-cell ALLs will facilitate the quick determination of therapeutic plans, as well as reveal the intrinsic mechanisms underlining the two different ALL subtypes. This study computationally screened the high-throughput transcriptome dataset for multiple candidate biomarkers and verified their discrimination abilities in an independent sample set using quantitative real-time polymerase chain reaction (PCR) technology. Both technologies suggest that the two genes CD3D and PKRCQ together provided a good model for classification of B-cell and T-cell ALLs, whereas the individual genes did not show consistent discrimination between the two ALL subtypes. Supplementary material is available at http://healthinformaticslab.org/supp/.
authors: Shenzhen Children's Hospital, Shenzhen, Guangdong 518038, China; Shenzhen Children's Hospital, Shenzhen Engineering Laboratory for High-throughput Gene Sequencing of Pathogens, Shenzhen, Guangdong 518038, China. Electronic address: madl1234@126.com.
authors: Dongli
authors: D
authors: Ma
authors: Shenzhen Children's Hospital, Shenzhen, Guangdong 518038, China.
authors: Shan
authors: S
authors: Zhong
authors: Shenzhen Children's Hospital, Shenzhen, Guangdong 518038, China; Shenzhen Children's Hospital, Shenzhen Engineering Laboratory for High-throughput Gene Sequencing of Pathogens, Shenzhen, Guangdong 518038, China.
authors: Xiaorong
authors: X
authors: Liu
authors: Shenzhen Children's Hospital, Shenzhen, Guangdong 518038, China.
authors: Huirong
authors: H
authors: Mai
authors: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China.
authors: Guoqin
authors: G
authors: Mai
authors: College of Software, Jilin University, Changchun, Jilin 130012, China.
authors: Cheng
authors: C
authors: Xu
authors: College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, China. Electronic address: FengfengZhou@gmail.com.
authors: Fengfeng
authors: F
authors: Zhou
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D017252:CD3 Complex / Q000235:genetics*; D003937:Diagnosis, Differential; D020869:Gene Expression Profiling; D006801:Humans; D015452:Precursor B-Cell Lymphoblastic Leukemia-Lymphoma / Q000175:diagnosis / Q000235:genetics; D054218:Precursor T-Cell Lymphoblastic Leukemia-Lymphoma / Q000175:diagnosis / Q000235:genetics; D000074121:Protein Kinase C-theta / Q000235:genetics*; D060888:Real-Time Polymerase Chain Reaction; D059467:Transcriptome / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor; D017252:CD3 Complex; C472562:CD3delta antigen; C076233:PRKCQ protein, human; D000074121:Protein Kinase C-theta
keywords: Acute lymphoblastic leukemia; B-ALL; Biomarker; CD3D; PRKCQ; T-ALL