Literature DB >> 30952131

Whole exome sequencing-based analysis to identify DNA damage repair deficiency as a major contributor to gliomagenesis in adult diffuse gliomas.

Ege Ülgen1, Özge Can2, Kaya Bilguvar3, Yavuz Oktay4,5, Cemaliye B Akyerli6, Ayça Erşen Danyeli7, M Cengiz Yakıcıer8, O Uğur Sezerman1, M Necmettin Pamir9, Koray Özduman9.   

Abstract

OBJECTIVE: Processes that cause or contribute to cancer, such as aging, exposure to carcinogens, or DNA damage repair deficiency (DDRd), create predictable and traceable nucleotide alterations in one's genetic code (termed "mutational signatures"). Large studies have previously identified various such mutational signatures across cancers that can be attributed to the specific causative processes. To gain further insight into the processes in glioma development, the authors analyzed mutational signatures in adult diffuse gliomas (DGs).
METHODS: Twenty-five DGs and paired blood samples were whole exome sequenced. Somatic mutational signatures were identified using 2 different methods. Associations of the signatures with age at diagnosis, molecular subset, and mutational load were investigated. As DDRd-related signatures were frequently observed, germline and somatic DDR gene mutations as well as microsatellite instability (MSI) status were determined for all samples. For validation of signature prevalence, publicly available data from The Cancer Genome Atlas (TCGA) were used.
RESULTS: Each tumor had a unique combination of signatures. The most common signatures were signature 1 (88%, aging related), signature 3 (52%, homologous recombination related), and signature 15 (56%, mismatch repair related). Eighty-four percent of the tumors contained at least 1 DDRd signature. The findings were validated using public TCGA data. The weight of signature 1 positively correlated with age (r = 0.43) while cumulative weight of DDRd signatures negatively correlated with age (r = -0.16). Each subject had at least 1 germline/somatic alteration in a DDR gene, the most common being the risk single nucleotide polymorphism rs1800734 in MLH1. The rs1800734-AA genotype had a higher cumulative DDRd weight as well as higher mutational load; TP53 was the most common somatically altered DDR gene. MSI was observed in 24% of the tumors. No significant associations of MSI status with mutational load, rs1800734, or the cumulative weight of DDRd signatures were identified.
CONCLUSIONS: Current findings suggest that DDRd may act as a fundamental mechanism in gliomagenesis rather than being a random, secondary event.

Entities:  

Keywords:  DNA repair; exome sequencing; glioma; mutational signatures; oncology

Year:  2019        PMID: 30952131     DOI: 10.3171/2019.1.JNS182938

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  8 in total

1.  Ultra-Mutation in IDH Wild-Type Glioblastomas of Patients Younger than 55 Years is Associated with Defective Mismatch Repair, Microsatellite Instability, and Giant Cell Enrichment.

Authors:  Valeria Barresi; Michele Simbolo; Andrea Mafficini; Maria Liliana Piredda; Maria Caffo; Salvatore Massimiliano Cardali; Antonino Germanò; Sara Cingarlini; Claudio Ghimenton; Aldo Scarpa
Journal:  Cancers (Basel)       Date:  2019-08-30       Impact factor: 6.639

2.  Biweekly fotemustine schedule for recurrent glioblastoma in the elderly: activity and toxicity assessment of a multicenter study.

Authors:  Raffaele Addeo; Giuseppe Lamberti; Giorgia Simonetti; Patrizia Iodice; Alfredo Marinelli; Liliana Montella; Salvatore Cappabianca; Paola Gaviani; Michele Caraglia; Salvatore Del Prete; Antonio Silvani
Journal:  CNS Oncol       Date:  2019-07-10

Review 3.  Biomarkers for immunotherapy for treatment of glioblastoma.

Authors:  John P Lynes; Anthony K Nwankwo; Hannah P Sur; Victoria E Sanchez; Kwadwo A Sarpong; Oluwatobi I Ariyo; Gifty A Dominah; Edjah K Nduom
Journal:  J Immunother Cancer       Date:  2020-05       Impact factor: 13.751

4.  Mutations and Copy Number Alterations in IDH Wild-Type Glioblastomas Are Shaped by Different Oncogenic Mechanisms.

Authors:  Ege Ülgen; Sıla Karacan; Umut Gerlevik; Özge Can; Kaya Bilguvar; Yavuz Oktay; Cemaliye B Akyerli; Şirin K Yüksel; Ayça E Danyeli; Tarık Tihan; O Uğur Sezerman; M Cengiz Yakıcıer; M Necmettin Pamir; Koray Özduman
Journal:  Biomedicines       Date:  2020-12-07

5.  iMutSig: a web application to identify the most similar mutational signature using shiny.

Authors:  Zhi Yang; Priyatama Pandey; Paul Marjoram; Kimberly D Siegmund
Journal:  F1000Res       Date:  2020-06-10

Review 6.  Molecular Pathogenesis of Glioblastoma in Adults and Future Perspectives: A Systematic Review.

Authors:  Yagmur Esemen; Mariam Awan; Rabeeia Parwez; Arsalan Baig; Shahinur Rahman; Ilaria Masala; Sonia Franchini; Dimitrios Giakoumettis
Journal:  Int J Mol Sci       Date:  2022-02-26       Impact factor: 5.923

Review 7.  Microsatellite Instability: From the Implementation of the Detection to a Prognostic and Predictive Role in Cancers.

Authors:  Martina Amato; Renato Franco; Gaetano Facchini; Raffaele Addeo; Fortunato Ciardiello; Massimiliano Berretta; Giulia Vita; Alessandro Sgambato; Sandro Pignata; Michele Caraglia; Marina Accardo; Federica Zito Marino
Journal:  Int J Mol Sci       Date:  2022-08-05       Impact factor: 6.208

8.  Sequential filtering for clinically relevant variants as a method for clinical interpretation of whole exome sequencing findings in glioma.

Authors:  Ege Ülgen; Özge Can; Kaya Bilguvar; Cemaliye Akyerli Boylu; Şirin Kılıçturgay Yüksel; Ayça Erşen Danyeli; O Uğur Sezerman; M Cengiz Yakıcıer; M Necmettin Pamir; Koray Özduman
Journal:  BMC Med Genomics       Date:  2021-02-23       Impact factor: 3.063

  8 in total

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