Experimental Cancer Medicine Centre (ECMC) network proposal for a consensus gene panel for pan-cancer sequencing: a Delphi methodology Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1038/s41416-025-03252-6
Background The Experimental Cancer Medicine Centre (ECMC) Network supports UK-wide access to experimental cancer therapies, many of which require specific genomic alterations. This study aimed to develop expert consensus on essential genes for a pan-cancer sequencing panel, involving subject matter experts (SMEs) from the ECMC Network and the pharmaceutical industry. Methods A pilot with 8 SMEs graded 526 genes, refining the list to 210. A three-round Delphi process was then used, with SMEs iteratively evaluating each gene. In the final round, SMEs also assessed the inclusion of tumour mutational burden (TMB), microsatellite instability (MSI), and mutation types (structural variations, copy number variations, and/or fusions). Results Consensus was reached on a final panel of 99 genes applicable across multiple cancers. High agreement was also achieved for including TMB, MSI, and screening for structural variations, copy number variants, and fusions. The panel is intended for both adult and paediatric tumour types. Conclusions This consensus-based gene panel offers a standardised approach to pan-cancer genomic screening. It supports harmonised diagnostics and could improve patient access to personalised therapies and research trials across clinical and NHS settings.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41416-025-03252-6
- https://www.nature.com/articles/s41416-025-03252-6.pdf
- OA Status
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- References
- 12
- OpenAlex ID
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https://openalex.org/W7104452573Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41416-025-03252-6Digital Object Identifier
- Title
-
Experimental Cancer Medicine Centre (ECMC) network proposal for a consensus gene panel for pan-cancer sequencing: a Delphi methodologyWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-11-08Full publication date if available
- Authors
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Richard Phillips, Bristi Basu, Zohra Butt, Mounia Beloueche, Natalie Cook, Simon J. Crabb, Alastair Greystoke, Darren Hargrave, Robert Jones, Muhammad Yasin Kureeman, Juanita Lopez, Claire McKeeve, Magdalena Meissner, Brent O’Carrigan, Eileen E. Parkes, Milind Ronghe, Patricia Roxburgh, Debashis Sarker, Kienan I. Savage, Paul H.S. Shaw, Stefan Symeonides, Deborah A. Tweddle, Aditi Vedi, Harriet S. Walter, Joanna Zabkiewicz, Gary W. Middleton, Andrew D. BeggsList of authors in order
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https://doi.org/10.1038/s41416-025-03252-6Publisher landing page
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https://www.nature.com/articles/s41416-025-03252-6.pdfDirect link to full text PDF
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hybridOpen access status per OpenAlex
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https://www.nature.com/articles/s41416-025-03252-6.pdfDirect OA link when available
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Delphi method, Medicine, Delphi, Personalized medicine, Precision medicine, Clinical trial, Medical physics, Genomics, Cancer Medicine, Bioinformatics, Microsatellite instability, Process (computing), Computer science, Computational biology, Family medicine, MEDLINE, Inclusion (mineral), Consensus conference, Cancer, DNA sequencing, Cancer genetics, Cancer treatment, Pharmaceutical industry, Data mining, Data science, Genetic testing, Gene nomenclature, Gene regulatory network, NutrigenomicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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12Number of works referenced by this work
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| abstract_inverted_index.MSI, | 128 |
| abstract_inverted_index.SMEs | 56, 73, 82 |
| abstract_inverted_index.TMB, | 127 |
| abstract_inverted_index.This | 23, 151 |
| abstract_inverted_index.also | 83, 123 |
| abstract_inverted_index.both | 144 |
| abstract_inverted_index.copy | 100, 134 |
| abstract_inverted_index.each | 76 |
| abstract_inverted_index.from | 43 |
| abstract_inverted_index.gene | 153 |
| abstract_inverted_index.list | 62 |
| abstract_inverted_index.many | 16 |
| abstract_inverted_index.then | 70 |
| abstract_inverted_index.with | 54, 72 |
| abstract_inverted_index.adult | 145 |
| abstract_inverted_index.aimed | 25 |
| abstract_inverted_index.could | 168 |
| abstract_inverted_index.final | 80, 111 |
| abstract_inverted_index.gene. | 77 |
| abstract_inverted_index.genes | 32, 115 |
| abstract_inverted_index.panel | 112, 140, 154 |
| abstract_inverted_index.pilot | 53 |
| abstract_inverted_index.study | 24 |
| abstract_inverted_index.types | 97 |
| abstract_inverted_index.used, | 71 |
| abstract_inverted_index.which | 18 |
| abstract_inverted_index.(ECMC) | 7 |
| abstract_inverted_index.(MSI), | 94 |
| abstract_inverted_index.(SMEs) | 42 |
| abstract_inverted_index.(TMB), | 91 |
| abstract_inverted_index.Cancer | 4 |
| abstract_inverted_index.Centre | 6 |
| abstract_inverted_index.Delphi | 67 |
| abstract_inverted_index.access | 11, 171 |
| abstract_inverted_index.across | 117, 178 |
| abstract_inverted_index.and/or | 103 |
| abstract_inverted_index.burden | 90 |
| abstract_inverted_index.cancer | 14 |
| abstract_inverted_index.expert | 28 |
| abstract_inverted_index.genes, | 59 |
| abstract_inverted_index.graded | 57 |
| abstract_inverted_index.matter | 40 |
| abstract_inverted_index.number | 101, 135 |
| abstract_inverted_index.offers | 155 |
| abstract_inverted_index.panel, | 37 |
| abstract_inverted_index.round, | 81 |
| abstract_inverted_index.trials | 177 |
| abstract_inverted_index.tumour | 88, 148 |
| abstract_inverted_index.types. | 149 |
| abstract_inverted_index.Methods | 51 |
| abstract_inverted_index.Network | 8, 46 |
| abstract_inverted_index.Results | 105 |
| abstract_inverted_index.UK-wide | 10 |
| abstract_inverted_index.develop | 27 |
| abstract_inverted_index.experts | 41 |
| abstract_inverted_index.genomic | 21, 161 |
| abstract_inverted_index.improve | 169 |
| abstract_inverted_index.patient | 170 |
| abstract_inverted_index.process | 68 |
| abstract_inverted_index.reached | 108 |
| abstract_inverted_index.require | 19 |
| abstract_inverted_index.subject | 39 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Medicine | 5 |
| abstract_inverted_index.achieved | 124 |
| abstract_inverted_index.approach | 158 |
| abstract_inverted_index.assessed | 84 |
| abstract_inverted_index.cancers. | 119 |
| abstract_inverted_index.clinical | 179 |
| abstract_inverted_index.fusions. | 138 |
| abstract_inverted_index.intended | 142 |
| abstract_inverted_index.multiple | 118 |
| abstract_inverted_index.mutation | 96 |
| abstract_inverted_index.refining | 60 |
| abstract_inverted_index.research | 176 |
| abstract_inverted_index.specific | 20 |
| abstract_inverted_index.supports | 9, 164 |
| abstract_inverted_index.Consensus | 106 |
| abstract_inverted_index.agreement | 121 |
| abstract_inverted_index.consensus | 29 |
| abstract_inverted_index.essential | 31 |
| abstract_inverted_index.fusions). | 104 |
| abstract_inverted_index.including | 126 |
| abstract_inverted_index.inclusion | 86 |
| abstract_inverted_index.industry. | 50 |
| abstract_inverted_index.involving | 38 |
| abstract_inverted_index.screening | 130 |
| abstract_inverted_index.settings. | 182 |
| abstract_inverted_index.therapies | 174 |
| abstract_inverted_index.variants, | 136 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.applicable | 116 |
| abstract_inverted_index.evaluating | 75 |
| abstract_inverted_index.harmonised | 165 |
| abstract_inverted_index.mutational | 89 |
| abstract_inverted_index.paediatric | 147 |
| abstract_inverted_index.pan-cancer | 35, 160 |
| abstract_inverted_index.screening. | 162 |
| abstract_inverted_index.sequencing | 36 |
| abstract_inverted_index.structural | 132 |
| abstract_inverted_index.therapies, | 15 |
| abstract_inverted_index.(structural | 98 |
| abstract_inverted_index.Conclusions | 150 |
| abstract_inverted_index.diagnostics | 166 |
| abstract_inverted_index.instability | 93 |
| abstract_inverted_index.iteratively | 74 |
| abstract_inverted_index.three-round | 66 |
| abstract_inverted_index.variations, | 99, 102, 133 |
| abstract_inverted_index.Experimental | 3 |
| abstract_inverted_index.alterations. | 22 |
| abstract_inverted_index.experimental | 13 |
| abstract_inverted_index.personalised | 173 |
| abstract_inverted_index.standardised | 157 |
| abstract_inverted_index.microsatellite | 92 |
| abstract_inverted_index.pharmaceutical | 49 |
| abstract_inverted_index.consensus-based | 152 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 27 |
| citation_normalized_percentile.value | 0.75871625 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |