Clinical and molecular relevance of genetic variants in the non-coding transcriptome of patients with cytogenetically normal acute myeloid leukemia
Dimitrios Papaioannou,
Hatice G. Ozer,
Deedra Nicolet,
Amog P. Urs,
Tobias Herold,
Krzysztof Mrózek,
Aarif M.N. Batcha,
Klaus H. Metzeler,
Ayse S. Yilmaz,
Stefano Volinia,
Marius Bill,
Jessica Kohlschmidt,
Maciej Pietrzak,
Christopher J. Walker,
Andrew J. Carroll,
Jan Braess,
Bayard L. Powell,
Ann-Kathrin Eisfeld,
Geoffrey L. Uy,
Eunice S. Wang,
Jonathan E. Kolitz,
Richard M. Stone,
Wolfgang Hiddemann,
John C. Byrd,
Clara D. Bloomfield,
Ramiro Garzon
Affiliations
Dimitrios Papaioannou
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine, NYU Langone Health, New York
Hatice G. Ozer
The Ohio State University, Department of Biomedical Informatics, Columbus
Deedra Nicolet
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH; Alliance Statistics and Data Center, The Ohio State University, Comprehensive Cancer Center, Columbus
Amog P. Urs
The Ohio State University, Comprehensive Cancer Center, Columbus
Tobias Herold
Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Heidelberg, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany; Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Zentrum München, German Center for Environmental Health (HMGU), Munich
Krzysztof Mrózek
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus
Aarif M.N. Batcha
Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany; Medical Data Integration Center (MeDIC), University Hospital, LMU Munich
Klaus H. Metzeler
Department of Hematology, Cell Therapy and Hemostaseology, University Hospital Leipzig, Leipzig
Ayse S. Yilmaz
The Ohio State University, Department of Biomedical Informatics, Columbus
Stefano Volinia
Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara
Marius Bill
The Ohio State University, Comprehensive Cancer Center, Columbus
Jessica Kohlschmidt
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH; Alliance Statistics and Data Center, The Ohio State University, Comprehensive Cancer Center, Columbus
Maciej Pietrzak
The Ohio State University, Department of Biomedical Informatics, Columbus
Christopher J. Walker
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus
Andrew J. Carroll
Department of Genetics, University of Alabama at Birmingham, Birmingham, AL
Jan Braess
Department of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg
Bayard L. Powell
The Comprehensive Cancer Center of Wake Forest University, Winston-Salem, NC
Ann-Kathrin Eisfeld
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus
Geoffrey L. Uy
Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
Eunice S. Wang
Roswell Park Comprehensive Cancer Center, Buffalo
Jonathan E. Kolitz
Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success
Richard M. Stone
Dana-Farber Cancer Institute, Harvard University, Boston, MA
Wolfgang Hiddemann
Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Heidelberg, Germany; German Cancer Research Center (DKFZ), Heidelberg
John C. Byrd
The Ohio State University, Comprehensive Cancer Center, Columbus, OH; The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus
Clara D. Bloomfield
The Ohio State University, Comprehensive Cancer Center, Columbus
Ramiro Garzon
The Ohio State University, Comprehensive Cancer Center, Columbus
Expression levels of long non-coding RNA (lncRNA) have been shown to associate with clinical outcome of patients with cytogenetically normal acute myeloid leukemia (CN-AML). However, the frequency and clinical significance of genetic variants in the nucleotide sequences of lncRNA in AML patients is unknown. Herein, we analyzed total RNA sequencing data of 377 younger adults (aged <60 years) with CN-AML, who were comprehensively characterized with regard to clinical outcome. We used available genomic databases and stringent filters to annotate genetic variants unequivocally located in the non-coding transcriptome of AML patients. We detected 981 variants, which are recurrently present in lncRNA that are expressed in leukemic blasts. Among these variants, we identified a cytosine-to-thymidine variant in the lncRNA RP5-1074L1.4 and a cytosine-to-thymidine variant in the lncRNA SNHG15, which independently associated with longer survival of CN-AML patients. The presence of the SNHG15 cytosine-to-thymidine variant was also found to associate with better outcome in an independent dataset of CN-AML patients, despite differences in treatment protocols and RNA sequencing techniques. In order to gain biological insights, we cloned and overexpressed both wild-type and variant versions of the SNHG15 lncRNA. In keeping with its negative prognostic impact, overexpression of the wild-type SNHG15 associated with higher proliferation rate of leukemic blasts when compared with the cytosine-to-thymidine variant. We conclude that recurrent genetic variants of lncRNA that are expressed in the leukemic blasts of CN-AML patients have prognostic and potential biological significance.