Upregulation of FHL1, SPNS3, and MPZL2 predicts poor prognosis in pediatric acute myeloid leukemia patients with FLT3-ITD mutation

Nasr EshibonaSAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South AfricaView further author information

Abdulazeez GiwaSAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South AfricaView further author information

Sophia Catherine RossouwSAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa

https://orcid.org/0000-0002-6979-8765 View further author information

Junaid GamieldienSAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South AfricaView further author information

Alan ChristoffelsSAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South AfricaView further author information

Hocine BendouSAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South AfricaCorrespondence[email protected]

https://orcid.org/0000-0001-5371-6107 View further author information

Upregulation of FHL1, SPNS3, and MPZL2 predicts poor prognosis in pediatric acute myeloid leukemia patients with FLT3-ITD mutation

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Upregulation of FHL1, SPNS3, and MPZL2 predicts poor prognosis in pediatric acute myeloid leukemia patients with FLT3-ITD mutation

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