Literature DB >> 35390143

TP53 copy number and protein expression inform mutation status across risk categories in acute myeloid leukemia.

Mehrnoosh Tashakori1,2, Tapan Kadia3, Sanam Loghavi1, Naval Daver3, Rashmi Kanagal-Shamanna1, Sherry Pierce3, Dawen Sui4, Peng Wei4, Farnoosh Khodakarami5, Zhenya Tang1, Mark Routbort1, Carol A Bivins3, Elias J Jabbour3, L Jeffrey Medeiros1, Kapil Bhalla3, Hagop M Kantarjian3, Farhad Ravandi3, Joseph D Khoury1.   

Abstract

Mutant TP53 is an adverse risk factor in acute myeloid leukemia (AML), but large-scale integrated genomic-proteomic analyses of TP53 alterations in patients with AML remain limited. We analyzed TP53 mutational status, copy number (CN), and protein expression data in AML (N = 528) and provide a compilation of mutation sites and types across disease subgroups among treated and untreated patients. Our analysis shows differential hotspots in subsets of AML and uncovers novel pathogenic variants involving TP53 splice sites. In addition, we identified TP53 CN loss in 70.2% of TP53-mutated AML cases, which have more deleterious TP53 mutations, as well as copy neutral loss of heterozygosity in 5/32 (15.6%) AML patients who had intact TP53 CN. Importantly, we demonstrate that mutant p53 protein expression patterns by immunohistochemistry evaluated using digital image-assisted analysis provide a robust readout that integrates TP53 mutation and allelic states in patients with AML. Expression of p53 by immunohistochemistry informed mutation status irrespective of TP53 CN status. Genomic analysis of comutations in TP53-mutant AML shows a muted landscape encompassing primarily mutations in genes involved in epigenetic regulation (DNMT3A and TET2), RAS/MAPK signaling (NF1, KRAS/NRAS, PTPN11), and RNA splicing (SRSF2). In summary, our data provide a rationale to refine risk stratification of patients with AML on the basis of integrated molecular and protein-level TP53 analyses.
© 2022 by The American Society of Hematology.

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Year:  2022        PMID: 35390143     DOI: 10.1182/blood.2021013983

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   25.476


  1 in total

1.  Pure erythroid leukemia is characterized by biallelic TP53 inactivation and abnormal p53 expression patterns in de novo and secondary cases.

Authors:  Hong Fang; Sa A Wang; Joseph D Khoury; Siba El Hussein; Do Hwan Kim; Mehrnoosh Tashakori; Zhenya Tang; Shaoying Li; Zhihong Hu; Fatima Zahra Jelloul; Keyur P Patel; Timothy J McDonnell; Tapan Kadia; L Jeffrey Medeiros; Wei Wang
Journal:  Haematologica       Date:  2022-09-01       Impact factor: 11.047

  1 in total

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