Literature DB >> 34482403

Identification and prioritization of myeloid malignancy germline variants in a large cohort of adult patients with AML.

Fei Yang1,2, Nicola Long2, Tauangtham Anekpuritanang1,2,3, Daniel Bottomly2,4, Jonathan C Savage2,5, Tiffany Lee2, Jose Solis-Ruiz2, Uma Borate2, Beth Wilmot2,4, Cristina Tognon2, Allison M Bock6, Daniel A Pollyea6, Saikripa Radhakrishnan7, Srinidhi Radhakrishnan7, Prapti Patel7, Robert H Collins7, Srinivas Tantravahi8, Michael W Deininger8, Guang Fan1,2, Brian Druker2, Ujwal Shinde2,5, Jeffrey W Tyner2,9, Richard D Press1,2, Shannon McWeeney2,4, Anupriya Agarwal2,9,10,11.   

Abstract

Inherited predisposition to myeloid malignancies is more common than previously appreciated. We analyzed the whole-exome sequencing data of paired leukemia and skin biopsy samples from 391 adult patients from the Beat AML 1.0 consortium. Using the 2015 American College of Medical Genetics and Genomics (ACMG) guidelines for variant interpretation, we curated 1547 unique variants from 228 genes. The pathogenic/likely pathogenic (P/LP) germline variants were identified in 53 acute myeloid leukemia (AML) patients (13.6%) in 34 genes, including 6.39% (25/391) of patients harboring P/LP variants in genes considered clinically actionable (tier 1). 41.5% of the 53 patients with P/LP variants were in genes associated with the DNA damage response. The most frequently mutated genes were CHEK2 (8 patients) and DDX41 (7 patients). Pathogenic germline variants were also found in new candidate genes (DNAH5, DNAH9, DNMT3A, and SUZ12). No strong correlation was found between the germline mutational rate and age of AML onset. Among 49 patients who have a reported history of at least one family member affected with hematological malignancies, 6 patients harbored known P/LP germline variants and the remaining patients had at least one variant of uncertain significance, suggesting a need for further functional validation studies. Using CHEK2 as an example, we show that three-dimensional protein modeling can be one of the effective methodologies to prioritize variants of unknown significance for functional studies. Further, we evaluated an in silico approach that applies ACMG curation in an automated manner using the tool for assessment and (TAPES) prioritization in exome studies, which can minimize manual curation time for variants. Overall, our findings suggest a need to comprehensively understand the predisposition potential of many germline variants in order to enable closer monitoring for disease management and treatment interventions for affected patients and families.
© 2022 by The American Society of Hematology.

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Year:  2022        PMID: 34482403      PMCID: PMC9211447          DOI: 10.1182/blood.2021011354

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


  78 in total

1.  The mechanism by which a propeptide-encoded pH sensor regulates spatiotemporal activation of furin.

Authors:  Danielle M Williamson; Johannes Elferich; Parvathy Ramakrishnan; Gary Thomas; Ujwal Shinde
Journal:  J Biol Chem       Date:  2013-05-07       Impact factor: 5.157

2.  Germline DDX41 mutations define a significant entity within adult MDS/AML patients.

Authors:  Marie Sébert; Marie Passet; Anna Raimbault; Ramy Rahmé; Emmanuel Raffoux; Flore Sicre de Fontbrune; Marco Cerrano; Samuel Quentin; Nadia Vasquez; Mélanie Da Costa; Nicolas Boissel; Hervé Dombret; Régis Peffault de Latour; Gérard Socié; Raphaël Itzykson; Pierre Fenaux; Jean Soulier; Lionel Adès; Emmanuelle Clappier
Journal:  Blood       Date:  2019-10-24       Impact factor: 22.113

3.  Novel germ line DDX41 mutations define families with a lower age of MDS/AML onset and lymphoid malignancies.

Authors:  Maya Lewinsohn; Anna L Brown; Luke M Weinel; Connie Phung; George Rafidi; Ming K Lee; Andreas W Schreiber; Jinghua Feng; Milena Babic; Chan-Eng Chong; Young Lee; Agnes Yong; Graeme K Suthers; Nicola Poplawski; Meryl Altree; Kerry Phillips; Louise Jaensch; Miriam Fine; Richard J D'Andrea; Ian D Lewis; Bruno C Medeiros; Daniel A Pollyea; Mary-Claire King; Tom Walsh; Siobán Keel; Akiko Shimamura; Lucy A Godley; Christopher N Hahn; Jane E Churpek; Hamish S Scott
Journal:  Blood       Date:  2015-12-28       Impact factor: 22.113

Review 4.  Noonan syndrome, PTPN11 mutations, and brain tumors. A clinical report and review of the literature.

Authors:  Aurore Siegfried; Claude Cances; Marie Denuelle; Najat Loukh; Maïté Tauber; Hélène Cavé; Marie-Bernadette Delisle
Journal:  Am J Med Genet A       Date:  2017-04       Impact factor: 2.802

5.  Candidate susceptibility variants for esophageal squamous cell carcinoma.

Authors:  Iikki Donner; Riku Katainen; Tomas Tanskanen; Eevi Kaasinen; Mervi Aavikko; Kristian Ovaska; Miia Artama; Eero Pukkala; Lauri A Aaltonen
Journal:  Genes Chromosomes Cancer       Date:  2017-04-03       Impact factor: 5.006

Review 6.  Inherited mutations in DNA repair genes and cancer risk.

Authors:  Nuria Romero-Laorden; Elena Castro
Journal:  Curr Probl Cancer       Date:  2017-03-22       Impact factor: 3.187

7.  Cancer risks in Fanconi anemia: findings from the German Fanconi Anemia Registry.

Authors:  Philip S Rosenberg; Blanche P Alter; Wolfram Ebell
Journal:  Haematologica       Date:  2008-03-05       Impact factor: 9.941

8.  Truncating mutations in the Fanconi anemia J gene BRIP1 are low-penetrance breast cancer susceptibility alleles.

Authors:  Sheila Seal; Deborah Thompson; Anthony Renwick; Anna Elliott; Patrick Kelly; Rita Barfoot; Tasnim Chagtai; Hiran Jayatilake; Munaza Ahmed; Katarina Spanova; Bernard North; Lesley McGuffog; D Gareth Evans; Diana Eccles; Douglas F Easton; Michael R Stratton; Nazneen Rahman
Journal:  Nat Genet       Date:  2006-10-08       Impact factor: 38.330

9.  CHEK2 mutations affecting kinase activity together with mutations in TP53 indicate a functional pathway associated with resistance to epirubicin in primary breast cancer.

Authors:  Ranjan Chrisanthar; Stian Knappskog; Erik Løkkevik; Gun Anker; Bjørn Østenstad; Steinar Lundgren; Elisabet O Berge; Terje Risberg; Ingvil Mjaaland; Lovise Maehle; Lars Fredrik Engebretsen; Johan Richard Lillehaug; Per Eystein Lønning
Journal:  PLoS One       Date:  2008-08-26       Impact factor: 3.240

10.  Germline heterozygous DDX41 variants in a subset of familial myelodysplasia and acute myeloid leukemia.

Authors:  S R Cardoso; G Ryan; A J Walne; A Ellison; R Lowe; H Tummala; A Rio-Machin; L Collopy; A Al Seraihi; Y Wallis; P Page; S Akiki; J Fitzgibbon; T Vulliamy; I Dokal
Journal:  Leukemia       Date:  2016-06-02       Impact factor: 11.528

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  8 in total

Review 1.  Role of Germline Predisposition to Therapy-Related Myeloid Neoplasms.

Authors:  Anmol Baranwal; Christopher N Hahn; Mithun Vinod Shah; Devendra K Hiwase
Journal:  Curr Hematol Malig Rep       Date:  2022-08-20       Impact factor: 4.213

2.  DDX41 coordinates RNA splicing and transcriptional elongation to prevent DNA replication stress in hematopoietic cells.

Authors:  Satoru Shinriki; Mayumi Hirayama; Akiko Nagamachi; Akihiko Yokoyama; Takeshi Kawamura; Akinori Kanai; Hidehiko Kawai; Junichi Iwakiri; Rin Liu; Manabu Maeshiro; Saruul Tungalag; Masayoshi Tasaki; Mitsuharu Ueda; Kazuhito Tomizawa; Naoyuki Kataoka; Takashi Ideue; Yutaka Suzuki; Kiyoshi Asai; Tokio Tani; Toshiya Inaba; Hirotaka Matsui
Journal:  Leukemia       Date:  2022-10-14       Impact factor: 12.883

Review 3.  Germline CHEK2 and ATM Variants in Myeloid and Other Hematopoietic Malignancies.

Authors:  Ryan J Stubbins; Sophia Korotev; Lucy A Godley
Journal:  Curr Hematol Malig Rep       Date:  2022-06-08       Impact factor: 4.213

4.  DDX41 is required for cGAS-STING activation against DNA virus infection.

Authors:  Ravi Shankar Singh; Venkatasubramanian Vidhyasagar; Shizhuo Yang; Ananna Bhadra Arna; Manisha Yadav; Aanchal Aggarwal; Alexya N Aguilera; Satoru Shinriki; Kalpana Kalyanasundaram Bhanumathy; Kannupriya Pandey; Aizhang Xu; Noreen Rapin; Mark Bosch; John DeCoteau; Jim Xiang; Franco J Vizeacoumar; Yan Zhou; Vikram Misra; Hirotaka Matsui; Susan R Ross; Yuliang Wu
Journal:  Cell Rep       Date:  2022-05-24       Impact factor: 9.995

5.  Impaired Overall Survival in Young Patients With Acute Myeloid Leukemia and Variants in Genes Predisposing for Myeloid Malignancies.

Authors:  Martin Kirschner; Benjamin Rolles; Martina Crysandt; Christoph Röllig; Friedrich Stölzel; Michael Kramer; Martin Bornhäuser; Hubert Serve; Uwe Platzbecker; Carsten Müller-Tidow; Kim Kricheldorf; Margherita Vieri; Matthias Begemann; Angela Maurer; Marcin W Wlodarski; Sushree S Sahoo; Tim H Brümmendorf; Edgar Jost; Fabian Beier
Journal:  Hemasphere       Date:  2022-10-12

6.  8-Gene signature related to CD8+ T cell infiltration by integrating single-cell and bulk RNA-sequencing in head and neck squamous cell carcinoma.

Authors:  Shoujing Zhang; Wenyi Zhang; Jian Zhang
Journal:  Front Genet       Date:  2022-07-22       Impact factor: 4.772

Review 7.  Diagnostic Strategies and Algorithms for Investigating Cancer Predisposition Syndromes in Children Presenting with Malignancy.

Authors:  Linda Rossini; Caterina Durante; Silvia Bresolin; Enrico Opocher; Antonio Marzollo; Alessandra Biffi
Journal:  Cancers (Basel)       Date:  2022-07-31       Impact factor: 6.575

8.  APAview: A web-based platform for alternative polyadenylation analyses in hematological cancers.

Authors:  Xi Hu; Jialin Song; Jacqueline Chyr; Jinping Wan; Xiaoyan Wang; Jianqiang Du; Junbo Duan; Huqin Zhang; Xiaobo Zhou; Xiaoming Wu
Journal:  Front Genet       Date:  2022-08-12       Impact factor: 4.772

  8 in total

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