1.Genetic analysis of microcephaly-cortical blind syndrome due to compound heterozygous variants of DIAPH1 gene.
Xiaobing LI ; Panjian LAI ; Kaichao CHENG ; Dayan WANG
Chinese Journal of Medical Genetics 2022;39(10):1116-1119
OBJECTIVE:
To explore the genetic etiology of a child with microcephaly-cortical blind syndrome.
METHODS:
Clinical data of the child was collected. The child and her parents were subjected to whole exome sequencing (WES). Candidate variants were validated by Sanger sequencing.
RESULTS:
WES revealed that the child has harbored compound heterozygous variants c.1051C>T and c.609delA of the DIAPH1 gene.
CONCLUSION
The compound heterozygous variation c.1051C>T (p.R351X) and c.609delA (p.E203Efs*19) of the DIAPH1 gene probably underlay the microcephaly-cortical blindness syndrome in this child.
Blindness/genetics*
;
Child
;
Female
;
Formins/genetics*
;
Genetic Testing
;
Humans
;
Microcephaly/genetics*
;
Mutation
;
Pedigree
;
Exome Sequencing
2.Characteristic of 8p11 Myeloproliferative Syndrome with Rare Phenotype.
Song XUE ; Huan-Xia XU ; Yong-Ping ZHANG ; Fu-Hong LIU ; Yi-Yan LU ; Fang LI ; Yan-Ping WANG ; Cheng-Cheng WANG ; Xiao-Peng JIA ; Jing-Bo WANG
Journal of Experimental Hematology 2021;29(1):181-187
OBJECTIVE:
To deeply understand the clinical manifestation, laboratory examination characteristics, diagnosis and treatment of an eight p11 myeloproliferative syndrome (EMS) with rare phenotypes.
METHODS:
The clinical and laboratory characteristics and the process of allogeneic hematopoietic stem cell transplantation (allo-HSCT) were summarized in 1 rare EMS case involving T/B/myeloid cells. Meanwhile, 2 similar cases in the previous literature were also discussed.
RESULTS:
The bone marrow examination indicated that the patient with B-cell acute lymphocytic leukemia. The lymph node biopsy showed that the patient was T lymphoblastic/myeloid lymphoma. The 8p11 abnormality was found by the examination of bone marrow chromosomes. The RT-PCR examination showed that the BCR-ABL fused gene was negtive. The FGFR1 breakage was found by using the FISH with FGFR1 probe in lymph node. The Mutation of FMNL3, NBPF1 and RUNX1 genes was found by using the whole exome sequencing. The patient received allo-HSCT under CR2. By the follow-up till to September 2019, the patient survived without the above-mentioned disease.
CONCLUSION
EMS manifest as neoplasms involving T-lineage, B-lineage, and myeloid-lineage simultaneously is extremely rare. Although the FGFR1 gene-targeted therapy can be conducted, allo-HSCT should be actively considered.
Bone Marrow
;
Chromosomes, Human, Pair 8
;
Formins
;
Hematologic Neoplasms
;
Humans
;
Myeloproliferative Disorders/genetics*
;
Phenotype
;
Receptor, Fibroblast Growth Factor, Type 1/genetics*
;
Translocation, Genetic
3.Identification and verification of key cancer genes associated with prognosis of colorectal cancer based on bioinformatics analysis.
Yi QIN ; Lu CHEN ; Lizhang CHEN
Journal of Central South University(Medical Sciences) 2021;46(10):1063-1070
OBJECTIVES:
The biomarkers targeting colorectal cancer (CRC) prognosis are short of high accuracy and sensitivity in clinic. Through bioinformatics analysis, we aim to identify and confirm a series of key genes referred to the diagnosis and prognosis of CRC.
METHODS:
GSE31905, GSE35279, and GSE41657 were selected as complete RNA sequencing data sets of CRC and colorectal mucosa (CRM) tissues from the NCBI-GEO database, and the differentially expressed genes (DEGs) were analyzed. The common DEGs in these 3 data sets were obtained by Venn map, and enriched by STRING network system and Cytoscape software. The Kaplan-Meier plotter website was used to verify the correlation between the enriched genes and the prognosis of CRC.
RESULTS:
For the whole RNA sequencing data sets of CRC and normal intestinal mucosa samples, the DEGs of CRC and CRM in the 3 data sets (|log
CONCLUSIONS
The above 11 genes verified by bioinformatics retrieval and analysis can predict the poor prognosis of CRC to a certain extent, and they provide a possible target for the diagnosis and treatment of CRC.
Biomarkers, Tumor/metabolism*
;
Colorectal Neoplasms/genetics*
;
Computational Biology
;
Formins
;
Gene Expression Profiling
;
Gene Expression Regulation, Neoplastic
;
Glycoproteins
;
Humans
;
Intercellular Signaling Peptides and Proteins
;
Oncogenes
;
Prognosis
;
Protein Interaction Maps