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      Myeloid malignancies with 5q and 7q deletions are associated with extreme genomic complexity, biallelic TP53 variants, and very poor prognosis

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          Abstract

          Dear Editor, Acute myeloid leukemia (AML) is an aggressive myeloid neoplasm representing the most common type of acute leukemia in adults 1,2 . AML is classified into multiple genetic subtypes based on recurrent structural variations (SVs), copy number variations (CNVs), aneuploidies, and single nucleotide variants (SNVs). These genetic subtypes inform prognosis and influence clinical management 3–6 . Cytogenetically visible deletions of chromosomes 5 and/or 7 in the absence of a WHO-defined recurrent SV represent a distinct subgroup associated with complex karyotype, pathogenic TP53 variants, and adverse prognosis 4 . Identification of this subtype relies upon conventional cytogenetic techniques such as chromosome studies and/or fluorescence in situ hybridization (FISH) 4 . However, structural genomic complexity may be grossly underestimated and imprecise by these conventional chromosome studies and limited information is retrieved from FISH testing due to the targeted nature of the assay 7 . While genomic complexity has been explored using chromosomal microarray studies 8,9 , structural complexity profiling in AML by next-generation sequencing (NGS) has been largely unexplored. The objective of this study was to explore the relationship between 5q and 7q deletions, genome-wide genomic complexity as determined by NGS and conventional chromosome studies, TP53 variants, and disease outcome. Study characteristics Following Mayo Clinic Institutional Review Board approval, we searched our Mayo Clinic Genomics database from 2017 and 2018 to identify patients that had a myeloid clone with a 5q deletion and/or 7q deletion identified by FISH and/or chromosomes studies (including cases with monosomies of chromosomes 5 and/or 7). We also identified cases with a normal karyotype (NK) AML clone as a control for low genomic complexity identified by conventional cytogenetics. A total of 103 cases had either a NK (NK, N = 52), 7q deletion (7q del, N = 12), 5q deletion (5q del, N = 19), or 5q deletion and 7q deletion (5q/7q del, N = 20) [Fig. 1A, Table S1]. Fig. 1 Myeloid clones with 5q and 7q deletions have complex genomes, biallelic pathogenic/likely pathogenic TP53 variants and poor overall survival. A Schematic of cohort. One hundred and three cases from patients with a diagnosis of a myeloid malignancy and with conventional chromosome and/or FISH studies demonstrating either normal karyotype (NK), 7q deletion (7q del), 5q deletion (5q del), 5q and 7q deletion (5q/7q del). Eighty-nine patients had sequencing (NGS or PCR-based) to identify sequence variants, 69 had MPseq to identify CNV and SV, and 95 samples had data available for assessment of overall survival. B Circos plots depicting CNVs and SVs detected by MPseq in each subtype. The outermost histogram (red) displays genomic losses, with axes rings representing the 20, 40, 60, 80, and 100% number of events per 1Mb window. The next histogram (blue) displays genomic gains, with axes rings representing the 20, 40, 60, 80, and 100% number of events per 1Mb window. Inner links (black) represent translocation and inversion events, with lines indicating positions along the chromosome. C TP53 deletion determined by FISH or MPseq and single nucleotide variant (SNV) status. Biallelic status requires evidence of deletion and SNV, or two pathogenic/likely pathogenic SNVs or one SNV over 80% VAF. D Overall survival probability using NK, 5q and 7q patient status (N = 95 samples) and in E. TP53 variant status (N = 81). Survival curves analysis was done using the Kaplan–Meier method and Log rank (Mantel–Cox) was run to determine the difference in the survival distribution among all four study subtypes. Eight patients were removed due to lack of follow-up data. Survival and AML diagnosis date was obtained from the medical record. The date of diagnosis reflects the original AML diagnosis. In D, 5q/7q del (blue line), 5q del (green line), 7q del (red line), and NK (purple line). In E, biallelic TP53 variants (blue line), monoallelic TP53 variants (green line), and normal TP53 status (red line). The majority of cases, 90 (87%) represented diagnostic specimens and 13 (13%) were relapsed AML. Specifically, 48 (47%) were de novo AML, 37 (36%) were secondary AML (31 had AML with myeloid-related changes (MRC) and 6 were therapy-related). We also included five additional high-grade myeloid neoplasms with 5q del and/or 7q del including three patients with MDS (one with therapy-related MDS with 6% blasts, two with MDS with excess blasts; 12–20% blasts and 10–15% blasts) and two cases with an unspecified myeloid malignancy [Table S1, Table S2]. The median age was 68 years (range 9–90) with a slight male predominance of 53% [Table S1]. The European Leukemia Net (ELN) 2017 prognostication of patients in the NK subgroup depended largely on their SNVs 4 [Table S1]. Nineteen (37%) NK samples could not be stratified due to incomplete sequencing data. Of 33 NK cases with ELN prognostication data, 10 were favorable, 11 were intermediate, and 12 were adverse. Of the remaining 51 cases that did not have NK, 48 cases had adverse risk due to identification of monosomy 5, 5q del, monosomy 7, complex karyotype and/or pathogenic/likely pathogenic variants (deletions or SNV) [Table S1]. While monosomy 7 is classified as high risk by ELN, 7q dels are classified as intermediate risk in the absence of other high-risk abnormalities. Two cases were classified as intermediate with a 7q del, a non-complex karyotype and no high-risk variants. One case had a 7q del, but evaluation for high-risk SNVs was incomplete [Table S1]. Sixty-nine cases had available DNA from bone marrow (BM) or peripheral blood (PB) for analysis by mate-pair sequencing (MPseq), a form of NGS optimized for the detection of SVs and CNVs 7 . Additional materials and methods details are in “Supplementary Information”. By MPseq, the minimum deleted region of chromosome 5q was ~6 Mb from 5q31.1 to 5q31.2 (chr5:134132000–139782000 [GRCh38]), encompassing EGR1, and the minimum deleted region of chromosome 7q was ~10 Mb from 7q32.1 to 7q34 (chr7:128933000–138962000 [GRCh38]) [Fig. 1B, Fig. S1]. No large deletions in the critical regions of chromosome 5q and 7q were identified by MPseq in NK samples [Fig. 1B, Fig. S1]. Genome-wide SVs and CNVs demonstrated overall increased genomic complexity of 5q del and 5q/7q del subtypes in comparison to NK and 7q del subtypes, with the greatest genomic complexity identified in the 5q/7q del subtype [Fig. 1B]. The median number of genome-wide CN gains, CN losses, and SVs were lower in NK (2.0, 5.0, and 4.0) and 7q del (2.0, 8.0, and 6.0) and higher in 5q del (11.5, 14.5, and 17.5) and 5q/7q del (14.0, 24.0, and 60.0), a difference that was significant among the 4 subtypes in each category (p < 0.001) [Table S3]. There was also an increased overall copy number burden (CNB) in cases with 5q/7q del, even when excluding any CN abnormalities involving 5q and 7q [Table S4]. Overall CNB correlated with karyotype complexity determined from the conventional chromosome results [Fig. S2]. Most 5q del and 5q/7q del subtypes were characterized by chromoplexy, chromothripsis, or progressive complexity with enrichment of SV involving chromosomes 5, 12, and 17, features absent in NK and 7q del cases [Fig. S3]. We next evaluated the incidence of pathogenic/likely pathogenic TP53 variants (deletions and SNVs). TP53 deletions were identified in 20/96 (21%) cases [Fig. 1C, Fig. S4]. None of the NK subtypes had a TP53 deletion, 1 (9%) 7q del, 8 (44%) 5q del, and 11 (55%) 5q/7q del cases had a TP53 deletion. Pathogenic/likely pathogenic TP53 SNVs were identified in 28/89 (31%) cases. One NK case had a TP53 SNV (~5% VAF), 2 (17%) 7q del, 7 (70%) 5q del, and 18 (95%) 5q/7q del had TP53 SNVs. Monoallelic TP53 variants were found in 7/83 (8%) cases and biallelic TP53 variants were found in 22/83 (27%) of cases [Fig. 1C, Fig. S4]. Biallelic TP53 variants were predominantly identified in cases with 5q del (70%) and 5q/7q del (78%). Fourteen of 16 cases (88%) with a TP53 monoallelic deletion that were evaluable for TP53 SNV had a TP53 SNV. Two samples with a TP53 deletion did not have a TP53 SNV demonstrating that TP53 deletion status is often predictive of a TP53 SNV on the remaining allele. In contrast, 14 of 28 (50%) cases with a TP53 SNV had a TP53 deletion; the remaining 14 had a TP53 SNV without a TP53 deletion. No TP53 pathogenic/likely pathogenic variants were identified in 5 complex karyotype-AML samples without 5q del and/or 7q del (data not shown). The type and location of each TP53 SNV are shown in Fig. S5. Since TP53 variants have been reported to associate with chromosome instability in myeloid cells 8,10,11 , cases with TP53 SNVs had a higher median number of CN gains (14.0 vs. 2.0), CN losses (19.5 vs. 5.0), and SVs (51.0 vs. 4.0) compared to cases with normal TP53, with the greatest fold change (13-fold) was observed in the number of SVs in association with TP53 variants [Fig. S5]. We next evaluated the contribution of 5q and 7q deletions, TP53 variant status and genomic complexity on overall survival (OS). The median OS was significantly shorter for patients with 5q/7q del (100 days, 95%CI, 0–217 days, p < 0.0001) or 5q del (231 days, 95%CI, 2–460 days, p = 0.017) compared to NK (608 days, 95%CI, 300–918 days) and between 5q/7q del compared to 7q del (502 days, 95%CI, 0–1203 days) (p < 0.0001) [Fig. 1D] similar with prior reports 11,12 . No significant difference in OS was observed between 5q/7q del and 5q del and between NK and 7q del. The median OS was also significantly shorter for patients with biallelic (175 days, 95%CI, 102–247 days, p < 0.0001) or monoallelic TP53 variants (150 days, 95%CI, 140–160 days, p = 0.050) compared to patients with normal TP53 (608 days, 95%CI, 304–912 days). No significant difference in OS was observed between biallelic and monoallelic TP53 categories, as previously reported 8 (p = 0.608) [Fig. 1E]. Patients with high genomic complexity identified by MPseq and complex and monosomal karyotypes had a significantly shorter median OS compared to patients without these features (p < 0.0001) [Fig. S6]. The greatest risk of death was found in 5q/7q del (univariate risk ratio 3.39, p < 0.0001; 95%CI: 1.94–5.92 and multivariate risk ratio 2.58, p = 0.003; 95%CI: 1.36–4.88) in comparison to cases with only 5q del (univariate risk ratio 1.61, p = 0.124; 95%CI: 0.88–2.97). Cases with 7q del (univariate risk ratio 0.68, p = 0.306; 95%CI: 0.32–1.42) and NK (univariate risk ratio 0.46, p = 0.002; 95%CI: 0.28–0.75) had reduced risk of death compared to 5q/7q del [Table S5]. Improved OS of 7q del cases may be explained by 10 of 12 (83%) of 7q del cases had a simple karyotype, with <3 cytogenetic abnormalities, in contrast to 5q del or 5q/7q del cases, similar to previously published observations 11 . Similar OS between the 7q and NK cases may be due to the incorporation of NK cases with less favorable ELN risk categories based on mutation status (Table S1), further narrowing the OS gap between the NK and 7q del cohorts. In summary, we describe the use of genome-wide NGS in the characterization of genomic complexity in AML, with the potential to reframe our understanding of complex genomic events. To our knowledge, very few studies have specifically evaluated the structural complexity incorporating both CNVs and SVs of AML genomes by NGS 13–15 . Here we show that myeloid malignancies with deletions of 5q and 7q are associated with additional complex genomic findings not appreciated by conventional chromosome studies including increased copy number burden, chromothripsis, chromoplexy, progressive genomic complexity, and very poor overall survival. Supplementary information Supplemental Materials Table S1 Table S2 Table S3 Table S4 Table S5 Figure S1 Figure S2 Figure S3 Figure S4 Figure S5 Figure S6

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          Cancer statistics, 2020

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2016) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2017) were collected by the National Center for Health Statistics. In 2020, 1,806,590 new cancer cases and 606,520 cancer deaths are projected to occur in the United States. The cancer death rate rose until 1991, then fell continuously through 2017, resulting in an overall decline of 29% that translates into an estimated 2.9 million fewer cancer deaths than would have occurred if peak rates had persisted. This progress is driven by long-term declines in death rates for the 4 leading cancers (lung, colorectal, breast, prostate); however, over the past decade (2008-2017), reductions slowed for female breast and colorectal cancers, and halted for prostate cancer. In contrast, declines accelerated for lung cancer, from 3% annually during 2008 through 2013 to 5% during 2013 through 2017 in men and from 2% to almost 4% in women, spurring the largest ever single-year drop in overall cancer mortality of 2.2% from 2016 to 2017. Yet lung cancer still caused more deaths in 2017 than breast, prostate, colorectal, and brain cancers combined. Recent mortality declines were also dramatic for melanoma of the skin in the wake of US Food and Drug Administration approval of new therapies for metastatic disease, escalating to 7% annually during 2013 through 2017 from 1% during 2006 through 2010 in men and women aged 50 to 64 years and from 2% to 3% in those aged 20 to 49 years; annual declines of 5% to 6% in individuals aged 65 years and older are particularly striking because rates in this age group were increasing prior to 2013. It is also notable that long-term rapid increases in liver cancer mortality have attenuated in women and stabilized in men. In summary, slowing momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers.
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            The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

            The World Health Organization (WHO) classification of tumors of the hematopoietic and lymphoid tissues was last updated in 2008. Since then, there have been numerous advances in the identification of unique biomarkers associated with some myeloid neoplasms and acute leukemias, largely derived from gene expression analysis and next-generation sequencing that can significantly improve the diagnostic criteria as well as the prognostic relevance of entities currently included in the WHO classification and that also suggest new entities that should be added. Therefore, there is a clear need for a revision to the current classification. The revisions to the categories of myeloid neoplasms and acute leukemia will be published in a monograph in 2016 and reflect a consensus of opinion of hematopathologists, hematologists, oncologists, and geneticists. The 2016 edition represents a revision of the prior classification rather than an entirely new classification and attempts to incorporate new clinical, prognostic, morphologic, immunophenotypic, and genetic data that have emerged since the last edition. The major changes in the classification and their rationale are presented here.
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              • Article: not found

              Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel.

              The first edition of the European LeukemiaNet (ELN) recommendations for diagnosis and management of acute myeloid leukemia (AML) in adults, published in 2010, has found broad acceptance by physicians and investigators caring for patients with AML. Recent advances, for example, in the discovery of the genomic landscape of the disease, in the development of assays for genetic testing and for detecting minimal residual disease (MRD), as well as in the development of novel antileukemic agents, prompted an international panel to provide updated evidence- and expert opinion-based recommendations. The recommendations include a revised version of the ELN genetic categories, a proposal for a response category based on MRD status, and criteria for progressive disease.
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                Author and article information

                Contributors
                baughn.linda@mayo.edu
                Journal
                Blood Cancer J
                Blood Cancer J
                Blood Cancer Journal
                Nature Publishing Group UK (London )
                2044-5385
                8 February 2021
                8 February 2021
                February 2021
                : 11
                : 2
                : 18
                Affiliations
                [1 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, , Mayo Clinic, ; Rochester, MN USA
                [2 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Center for Individualized Medicine-Biomarker Discovery, , Mayo Clinic, ; Rochester, MN USA
                [3 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Medicine, Division of Hematology, , Mayo Clinic, ; Rochester, MN USA
                [4 ]GRID grid.17635.36, ISNI 0000000419368657, Division of Hematology, Oncology, and Transplantation, Department of Medicine and Masonic Cancer Center, , University of Minnesota, ; Minneapolis, MN USA
                [5 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, Department of Hematopathology, , University of Texas MD Anderson Cancer Center, ; Houston, TX USA
                [6 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Laboratory Medicine and Pathology, , Division of Hematopathology, Mayo Clinic, ; Rochester, MN USA
                [7 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Pathology, Brigham and Women’s Hospital, , Harvard Medical School, ; Boston, MA USA
                [8 ]GRID grid.223827.e, ISNI 0000 0001 2193 0096, Present Address: Cytogenetics and Genomic Microarray Laboratory, , ARUP Laboratories, ; Salt Lake City, UT USA
                Author information
                http://orcid.org/0000-0002-5138-824X
                http://orcid.org/0000-0001-9386-4163
                http://orcid.org/0000-0001-7829-5249
                http://orcid.org/0000-0001-5229-4897
                Article
                416
                10.1038/s41408-021-00416-4
                7873204
                33563889
                1079feca-e609-48c9-b4c1-a6c0cd48bf54
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 October 2020
                : 30 December 2020
                : 19 January 2021
                Categories
                Correspondence
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                © The Author(s) 2021

                Oncology & Radiotherapy
                cancer genomics,cytogenetics,cancer genetics
                Oncology & Radiotherapy
                cancer genomics, cytogenetics, cancer genetics

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