Literature DB >> 24850867

Genomic landscape of CD34+ hematopoietic cells in myelodysplastic syndrome and gene mutation profiles as prognostic markers.

Lan Xu1, Zhao-Hui Gu1, Yang Li1, Jin-Li Zhang1, Chun-Kang Chang2, Chun-Ming Pan1, Jing-Yi Shi1, Yang Shen1, Bing Chen1, Yue-Ying Wang1, Lu Jiang1, Jing Lu1, Xin Xu1, Jue-Ling Tan1, Yu Chen1, Sheng-Yue Wang3, Xiao Li4, Zhu Chen5, Sai-Juan Chen6.   

Abstract

Myelodysplastic syndrome (MDS) includes a group of diseases characterized by dysplasia of bone marrow myeloid lineages with ineffective hematopoiesis and frequent evolution to acute myeloid leukemia (AML). Whole-genome sequencing was performed in CD34(+) hematopoietic stem/progenitor cells (HSPCs) from eight cases of refractory anemia with excess blasts (RAEB), the high-risk subtype of MDS. The nucleotide substitution patterns were found similar to those reported in AML, and mutations of 96 protein-coding genes were identified. Clonal architecture analysis revealed the presence of subclones in six of eight cases, whereas mutation detection of CD34(+) versus CD34(-) cells revealed heterogeneity of HSPC expansion status. With 39 marker genes belonging to eight functional categories, mutations were analyzed in 196 MDS cases including mostly RAEB (n = 89) and refractory cytopenia with multilineage dysplasia (RCMD) (n = 95). At least one gene mutation was detected in 91.0% of RAEB, contrary to that in RCMD (55.8%), suggesting a higher mutational burden in the former group. Gene abnormality patterns differed between MDS and AML, with mutations of activated signaling molecules and NPM1 being rare, whereas those of spliceosome more common, in MDS. Finally, gene mutation profiles also bore prognostic value in terms of overall survival and progression free survival.

Entities:  

Keywords:  clonal evolution; gene mutation pattern; prognostic stratification

Mesh:

Substances:

Year:  2014        PMID: 24850867      PMCID: PMC4060725          DOI: 10.1073/pnas.1407688111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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