Literature DB >> 35034191

Shallow whole-genome sequencing: a useful, easy to apply molecular technique for CNA detection on FFPE tumor tissue-a glioma-driven study.

Kim Van der Eecken1,2, Malaïka Van der Linden1,2,3, Lennart Raman1,3, David Creytens1,2, Franceska Dedeurwaerdere4, Koen De Winne5, Liesbeth Ferdinande1,2, Martin Lammens5, Björn Menten2,3, Isabelle Rottiers1,2, Bram Van Gaever1, Caroline Van den Broecke6, Koen Van de Vijver1,2, Nadine Van Roy2,3, Sofie Verbeke1,2, Jo Van Dorpe7,8.   

Abstract

Copy number alterations (CNAs) have increasingly become part of the diagnostic algorithm of glial tumors. Alterations such as homozygous deletion of CDKN2A/B, 7 +/ 10 - chromosome copy number changes or EGFR amplification are predictive of a poor prognosis. The codeletion of chromosome arms 1p and 19q, typically associated with oligodendroglioma, implies a more favorable prognosis. Detection of this codeletion by the current diagnostic standard, being fluorescence in situ hybridization (FISH), is sometimes however subject to technical and interpretation problems. In this study, we evaluated CNA detection by shallow whole-genome sequencing (sWGS) as an inexpensive, complementary molecular technique. A cohort of 36 glioma tissue samples, enriched with "difficult" and "ambiguous" cases, was analyzed by sWGS. sWGS results were compared with FISH assays of chromosomes 1p and 19q. In addition, CNAs relevant to glioblastoma diagnosis were explored. In 4/36 samples, EGFR (7p11.2) amplifications and homozygous loss of CDKN2A/B were identified by sWGS. Six out of 8 IDH-wild-type glioblastomas demonstrated a prognostic chromosome 7/chromosome 10 signature. In 11/36 samples, local interstitial and terminal 1p/19q alterations were detected by sWGS, implying that FISH's targeted nature might promote false arm-level extrapolations. In this cohort, differences in overall survival between patients with and without codeletion were better pronounced by the sequencing-based distinction (likelihood ratio of 7.48) in comparison to FISH groupings (likelihood ratio of 0.97 at diagnosis and 1.79 ± 0.62 at reobservation), suggesting sWGS is more accurate than FISH. We recognized adverse effects of tissue block age on FISH signals. In addition, we show how sWGS reveals relevant aberrations beyond the 1p/19q state, such as EGFR amplification, combined gain of chromosome 7 and loss of chromosome 10, and homozygous loss of CDKN2A/B. The findings presented by this study might stimulate implementation of sWGS as a complementary, easy to apply technique for copy number detection.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  1p/19q codeletion; Copy number aberration detection; Fluorescence in situ hybridization; Glial tumors; Shallow whole-genome sequencing

Mesh:

Substances:

Year:  2022        PMID: 35034191     DOI: 10.1007/s00428-022-03268-w

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.535


  18 in total

1.  Fluorescent in situ hybridization on isolated tumor cell nuclei: a sensitive method for 1p and 19q deletion analysis in paraffin-embedded oligodendroglial tumor specimens.

Authors:  Ellen Gelpi; Inge M Ambros; Peter Birner; Andrea Luegmayr; Marcus Drlicek; Ingeborg Fischer; Reinhold Kleinert; Hans Maier; Michael Huemer; Brigitte Gatterbauer; Johann Anton; Karl Rössler; Herbert Budka; Peter F Ambros; Johannes A Hainfellner
Journal:  Mod Pathol       Date:  2003-07       Impact factor: 7.842

2.  Diagnostic Detection of Allelic Losses and Imbalances by Next-Generation Sequencing: 1p/19q Co-Deletion Analysis of Gliomas.

Authors:  Hendrikus J Dubbink; Peggy N Atmodimedjo; Ronald van Marion; Niels M G Krol; Peter H J Riegman; Johan M Kros; Martin J van den Bent; Winand N M Dinjens
Journal:  J Mol Diagn       Date:  2016-07-25       Impact factor: 5.568

3.  Allelic status of 1p and 19q in oligodendrogliomas and glioblastomas: multiplex ligation-dependent probe amplification versus loss of heterozygosity.

Authors:  Carmen Franco-Hernández; Victor Martínez-Glez; Jose M de Campos; Alberto Isla; Jesús Vaquero; Manuel Gutiérrez; Cacilda Casartelli; Juan A Rey
Journal:  Cancer Genet Cytogenet       Date:  2009-04-15

4.  Assessment of 1p/19q deletions by fluorescence in situ hybridization in gliomas.

Authors:  Kavita S Reddy
Journal:  Cancer Genet Cytogenet       Date:  2008-07-15

5.  Panel review of anaplastic oligodendroglioma from European Organization For Research and Treatment of Cancer Trial 26951: assessment of consensus in diagnosis, influence of 1p/19q loss, and correlations with outcome.

Authors:  Johan M Kros; Thierry Gorlia; Mathilde C Kouwenhoven; Ping-Pin Zheng; V Peter Collins; Dominique Figarella-Branger; Felice Giangaspero; Caterina Giannini; Karima Mokhtari; Sverre J Mørk; Anders Paetau; Guido Reifenberger; Martin J van den Bent
Journal:  J Neuropathol Exp Neurol       Date:  2007-06       Impact factor: 3.685

6.  Detection of 1p19q deletion by real-time comparative quantitative PCR.

Authors:  Abhishek Chaturbedi; Liping Yu; Mark E Linskey; Yi-Hong Zhou
Journal:  Biomark Insights       Date:  2012-02-01

Review 7.  Oligodendroglioma: pathology, molecular mechanisms and markers.

Authors:  Pieter Wesseling; Martin van den Bent; Arie Perry
Journal:  Acta Neuropathol       Date:  2015-05-06       Impact factor: 17.088

8.  Automated Analysis of 1p/19q Status by FISH in Oligodendroglial Tumors: Rationale and Proposal of an Algorithm.

Authors:  Céline Duval; Marie de Tayrac; Karine Michaud; Florian Cabillic; Claudie Paquet; Peter Vincent Gould; Stéphan Saikali
Journal:  PLoS One       Date:  2015-07-02       Impact factor: 3.240

9.  Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre.

Authors:  Zane Jaunmuktane; David Capper; David T W Jones; Daniel Schrimpf; Martin Sill; Monika Dutt; Nirosha Suraweera; Stefan M Pfister; Andreas von Deimling; Sebastian Brandner
Journal:  Acta Neuropathol Commun       Date:  2019-02-20       Impact factor: 7.801

10.  PREFACE: In silico pipeline for accurate cell-free fetal DNA fraction prediction.

Authors:  Lennart Raman; Machteld Baetens; Matthias De Smet; Annelies Dheedene; Jo Van Dorpe; Björn Menten
Journal:  Prenat Diagn       Date:  2019-07-11       Impact factor: 3.050

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