Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression

Author:

Stratmann Svea1ORCID,Yones Sara A.2ORCID,Garbulowski Mateusz2ORCID,Sun Jitong1,Skaftason Aron3,Mayrhofer Markus4,Norgren Nina5ORCID,Herlin Morten Krogh67ORCID,Sundström Christer1ORCID,Eriksson Anna8,Höglund Martin8ORCID,Palle Josefine9,Abrahamsson Jonas10,Jahnukainen Kirsi11,Munthe-Kaas Monica Cheng1213,Zeller Bernward13,Tamm Katja Pokrovskaja14,Cavelier Lucia1,Komorowski Jan23456ORCID,Holmfeldt Linda115ORCID

Affiliation:

1. Department of Immunology, Genetics and Pathology and

2. Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden;

3. Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden;

4. National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden;

5. Department of Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Umeå University, Umeå, Sweden;

6. Department of Clinical Medicine and

7. Department of Pediatrics and Adolescent Medicine, Aarhus University, Aarhus, Denmark;

8. Department of Medical Sciences and

9. Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden;

10. Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden;

11. Children’s Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland;

12. Norwegian Institute of Public Health, Oslo, Norway;

13. Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway;

14. Department of Oncology and Pathology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden;

15. The Beijer Laboratory, Uppsala, Sweden

Abstract

Abstract Numerous studies have been performed over the last decade to exploit the complexity of genomic and transcriptomic lesions driving the initiation of acute myeloid leukemia (AML). These studies have helped improve risk classification and treatment options. Detailed molecular characterization of longitudinal AML samples is sparse, however; meanwhile, relapse and therapy resistance represent the main challenges in AML care. To this end, we performed transcriptome-wide RNA sequencing of longitudinal diagnosis, relapse, and/or primary resistant samples from 47 adult and 23 pediatric AML patients with known mutational background. Gene expression analysis revealed the association of short event-free survival with overexpression of GLI2 and IL1R1, as well as downregulation of ST18. Moreover, CR1 downregulation and DPEP1 upregulation were associated with AML relapse both in adults and children. Finally, machine learning–based and network-based analysis identified overexpressed CD6 and downregulated INSR as highly copredictive genes depicting important relapse-associated characteristics among adult patients with AML. Our findings highlight the importance of a tumor-promoting inflammatory environment in leukemia progression, as indicated by several of the herein identified differentially expressed genes. Together, this knowledge provides the foundation for novel personalized drug targets and has the potential to maximize the benefit of current treatments to improve cure rates in AML.

Publisher

American Society of Hematology

Subject

Hematology

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