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Brandner S, McAleenan A, Jones HE, Kernohan A, Robinson T, Schmidt L, Dawson S, Kelly C, Leal ES, Faulkner CL, Palmer A, Wragg C, Jefferies S, Vale L, Higgins JPT, Kurian KM. Diagnostic accuracy of 1p/19q codeletion tests in oligodendroglioma: A comprehensive meta-analysis based on a Cochrane systematic review. Neuropathol Appl Neurobiol 2022; 48:e12790. [PMID: 34958131 PMCID: PMC9208578 DOI: 10.1111/nan.12790] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/23/2021] [Accepted: 11/27/2021] [Indexed: 11/29/2022]
Abstract
Codeletion of chromosomal arms 1p and 19q, in conjunction with a mutation in the isocitrate dehydrogenase 1 or 2 gene, is the molecular diagnostic criterion for oligodendroglioma, IDH mutant and 1p/19q codeleted. 1p/19q codeletion is a diagnostic marker and allows prognostication and prediction of the best drug response within IDH-mutant tumours. We performed a Cochrane review and simple economic analysis to establish the most sensitive, specific and cost-effective techniques for determining 1p/19q codeletion status. Fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) test methods were considered as reference standard. Most techniques (FISH, chromogenic in situ hybridisation [CISH], PCR, real-time PCR, multiplex ligation-dependent probe amplification [MLPA], single nucleotide polymorphism [SNP] array, comparative genomic hybridisation [CGH], array CGH, next-generation sequencing [NGS], mass spectrometry and NanoString) showed good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma, irrespective of whether FISH or PCR-based LOH was used as the reference standard. Both NGS and SNP array had a high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. Our findings suggest that G banding is not a suitable test for 1p/19q analysis. Within these limits, considering cost per diagnosis and using FISH as a reference, MLPA was marginally more cost-effective than other tests, although these economic analyses were limited by the range of available parameters, time horizon and data from multiple healthcare organisations.
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Affiliation(s)
- Sebastian Brandner
- Division of Neuropathology, The National Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
- Department of Neurodegenerative Disease, Queen Square Instituite of NeurologyUniversity College LondonLondonUK
| | - Alexandra McAleenan
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Hayley E. Jones
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Ashleigh Kernohan
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Tomos Robinson
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | | | - Claire L. Faulkner
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | - Abigail Palmer
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | - Christopher Wragg
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | | | - Luke Vale
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Julian P. T. Higgins
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Kathreena M. Kurian
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- Bristol Medical School: Brain Tumour Research Centre, Public Health SciencesUniversity of BristolBristolUK
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McAleenan A, Jones HE, Kernohan A, Robinson T, Schmidt L, Dawson S, Kelly C, Spencer Leal E, Faulkner CL, Palmer A, Wragg C, Jefferies S, Brandner S, Vale L, Higgins JP, Kurian KM. Diagnostic test accuracy and cost-effectiveness of tests for codeletion of chromosomal arms 1p and 19q in people with glioma. Cochrane Database Syst Rev 2022; 3:CD013387. [PMID: 35233774 PMCID: PMC8889390 DOI: 10.1002/14651858.cd013387.pub2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Complete deletion of both the short arm of chromosome 1 (1p) and the long arm of chromosome 19 (19q), known as 1p/19q codeletion, is a mutation that can occur in gliomas. It occurs in a type of glioma known as oligodendroglioma and its higher grade counterpart known as anaplastic oligodendroglioma. Detection of 1p/19q codeletion in gliomas is important because, together with another mutation in an enzyme known as isocitrate dehydrogenase, it is needed to make the diagnosis of an oligodendroglioma. Presence of 1p/19q codeletion also informs patient prognosis and prediction of the best drug treatment. The main two tests in use are fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) assays (also known as PCR-based short tandem repeat or microsatellite analysis). Many other tests are available. None of the tests is perfect, although PCR-based LOH is expected to have very high sensitivity. OBJECTIVES To estimate the sensitivity and specificity and cost-effectiveness of different deoxyribonucleic acid (DNA)-based techniques for determining 1p/19q codeletion status in glioma. SEARCH METHODS We searched MEDLINE, Embase and BIOSIS up to July 2019. There were no restrictions based on language or date of publication. We sought economic evaluation studies from the results of this search and using the National Health Service Economic Evaluation Database. SELECTION CRITERIA We included cross-sectional studies in adults with glioma or any subtype of glioma, presenting raw data or cross-tabulations of two or more DNA-based tests for 1p/19q codeletion. We also sought economic evaluations of these tests. DATA COLLECTION AND ANALYSIS We followed procedures outlined in the Cochrane Handbook for Diagnostic Test Accuracy Reviews. Two review authors independently screened titles/abstracts/full texts, performed data extraction, and undertook applicability and risk of bias assessments using QUADAS-2. Meta-analyses used the hierarchical summary ROC model to estimate and compare test accuracy. We used FISH and PCR-based LOH as alternate reference standards to examine how tests compared with those in common use, and conducted a latent class analysis comparing FISH and PCR-based LOH. We constructed an economic model to evaluate cost-effectiveness. MAIN RESULTS We included 53 studies examining: PCR-based LOH, FISH, single nucleotide polymorphism (SNP) array, next-generation sequencing (NGS), comparative genomic hybridisation (CGH), array comparative genomic hybridisation (aCGH), multiplex-ligation-dependent probe amplification (MLPA), real-time PCR, chromogenic in situ hybridisation (CISH), mass spectrometry (MS), restriction fragment length polymorphism (RFLP) analysis, G-banding, methylation array and NanoString. Risk of bias was low for only one study; most gave us concerns about how patients were selected or about missing data. We had applicability concerns about many of the studies because only patients with specific subtypes of glioma were included. 1520 participants contributed to analyses using FISH as the reference, 1304 participants to analyses involving PCR-based LOH as the reference and 262 participants to analyses of comparisons between methods from studies not including FISH or PCR-based LOH. Most evidence was available for comparison of FISH with PCR-based LOH (15 studies, 915 participants): PCR-based LOH detected 94% of FISH-determined codeletions (95% credible interval (CrI) 83% to 98%) and FISH detected 91% of codeletions determined by PCR-based LOH (CrI 78% to 97%). Of tumours determined not to have a deletion by FISH, 94% (CrI 87% to 98%) had a deletion detected by PCR-based LOH, and of those determined not to have a deletion by PCR-based LOH, 96% (CrI 90% to 99%) had a deletion detected by FISH. The latent class analysis suggested that PCR-based LOH may be slightly more accurate than FISH. Most other techniques appeared to have high sensitivity (i.e. produced few false-negative results) for detection of 1p/19q codeletion when either FISH or PCR-based LOH was considered as the reference standard, although there was limited evidence. There was some indication of differences in specificity (false-positive rate) with some techniques. Both NGS and SNP array had high specificity when considered against FISH as the reference standard (NGS: 6 studies, 243 participants; SNP: 6 studies, 111 participants), although we rated certainty in the evidence as low or very low. NGS and SNP array also had high specificity when PCR-based LOH was considered the reference standard, although with much more uncertainty as these results were based on fewer studies (just one study with 49 participants for NGS and two studies with 33 participants for SNP array). G-banding had low sensitivity and specificity when PCR-based LOH was the reference standard. Although MS had very high sensitivity and specificity when both FISH and PCR-based LOH were considered the reference standard, these results were based on only one study with a small number of participants. Real-time PCR also showed high specificity with FISH as a reference standard, although there were only two studies including 40 participants. We found no relevant economic evaluations. Our economic model using FISH as the reference standard suggested that the resource-optimising test depends on which measure of diagnostic accuracy is most important. With FISH as the reference standard, MLPA is likely to be cost-effective if society was willing to pay GBP 1000 or less for a true positive detected. However, as the value placed on a true positive increased, CISH was most cost-effective. Findings differed when the outcome measure changed to either true negative detected or correct diagnosis. When PCR-based LOH was used as the reference standard, MLPA was likely to be cost-effective for all measures of diagnostic accuracy at lower threshold values for willingness to pay. However, as the threshold values increased, none of the tests were clearly more likely to be considered cost-effective. AUTHORS' CONCLUSIONS In our review, most techniques (except G-banding) appeared to have good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma against both FISH and PCR-based LOH as a reference standard. However, we judged the certainty of the evidence low or very low for all the tests. There are possible differences in specificity, with both NGS and SNP array having high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. The economic analysis should be interpreted with caution due to the small number of studies.
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Affiliation(s)
- Alexandra McAleenan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hayley E Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashleigh Kernohan
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Tomos Robinson
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne , UK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emmelyn Spencer Leal
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire L Faulkner
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Abigail Palmer
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Christopher Wragg
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Sarah Jefferies
- Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
| | - Sebastian Brandner
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Division of Neuropathology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Luke Vale
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kathreena M Kurian
- Bristol Medical School: Brain Tumour Research Centre, Public Health Sciences, University of Bristol, Bristol, UK
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Van der Eecken K, Van der Linden M, Raman L, Creytens D, Dedeurwaerdere F, De Winne K, Ferdinande L, Lammens M, Menten B, Rottiers I, Van Gaever B, Van den Broecke C, Van de Vijver K, Van Roy N, Verbeke S, Van Dorpe J. Shallow whole-genome sequencing: a useful, easy to apply molecular technique for CNA detection on FFPE tumor tissue-a glioma-driven study. Virchows Arch 2022; 480:677-686. [PMID: 35034191 DOI: 10.1007/s00428-022-03268-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 12/10/2021] [Accepted: 01/03/2022] [Indexed: 11/27/2022]
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.
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Affiliation(s)
- Kim Van der Eecken
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
| | - Malaïka Van der Linden
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Lennart Raman
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - David Creytens
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
| | | | - Koen De Winne
- Department of Pathology, Antwerp University Hospital, Antwerp, Belgium
| | - Liesbeth Ferdinande
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
| | - Martin Lammens
- Department of Pathology, Antwerp University Hospital, Antwerp, Belgium
| | - Björn Menten
- Cancer Research Institute (CRIG), Ghent, Belgium
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Isabelle Rottiers
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
| | - Bram Van Gaever
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
| | | | - Koen Van de Vijver
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
| | - Nadine Van Roy
- Cancer Research Institute (CRIG), Ghent, Belgium
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Sofie Verbeke
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Cancer Research Institute (CRIG), Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium.
- Cancer Research Institute (CRIG), Ghent, Belgium.
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