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Germline-focused analysis of tumour-detected variants in 49,264 cancer patients: ESMO Precision Medicine Working Group recommendations.

Kuzbari, Z; Bandlamudi, C; Loveday, C; Garrett, A; Mehine, M; George, A; Hanson, H; Snape, K; Kulkarni, A; Allen, S; et al. Kuzbari, Z; Bandlamudi, C; Loveday, C; Garrett, A; Mehine, M; George, A; Hanson, H; Snape, K; Kulkarni, A; Allen, S; Jezdic, S; Ferrandino, R; Westphalen, CB; Castro, E; Rodon, J; Mateo, J; Burghel, GJ; Berger, MF; Mandelker, D; Turnbull, C (2023) Germline-focused analysis of tumour-detected variants in 49,264 cancer patients: ESMO Precision Medicine Working Group recommendations. Ann Oncol, 34 (3). pp. 215-227. ISSN 1569-8041 https://doi.org/10.1016/j.annonc.2022.12.003
SGUL Authors: Snape, Katie Mairwen Greenwood

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Abstract

BACKGROUND: The European Society for Medical Oncology Precision Medicine Working Group (ESMO PMWG) was reconvened to update its 2018/19 recommendations on follow-up of putative germline variants detected on tumour-only sequencing, which were based on an analysis of 17 152 cancers. METHODS: We analysed an expanded dataset including 49 264 paired tumour-normal samples. We applied filters to tumour-detected variants based on variant allele frequency, predicted pathogenicity and population variant frequency. For 58 cancer-susceptibility genes, we then examined the proportion of filtered tumour-detected variants of true germline origin [germline conversion rate (GCR)]. We conducted subanalyses based on the age of cancer diagnosis, specific tumour types and 'on-tumour' status (established tumour-gene association). RESULTS: Analysis of 45 472 nonhypermutated solid malignancy tumour samples yielded 21 351 filtered tumour-detected variants of which 3515 were of true germline origin. 3.1% of true germline pathogenic variants were absent from the filtered tumour-detected variants. For genes such as BRCA1, BRCA2 and PALB2, the GCR in filtered tumour-detected variants was >80%; conversely for TP53, APC and STK11 this GCR was <2%. CONCLUSION: Strategic germline-focused analysis can prioritise a subset of tumour-detected variants for which germline follow-up will produce the highest yield of most actionable true germline variants. We present updated recommendations around germline follow-up of tumour-only sequencing including (i) revision to 5% for the minimum per-gene GCR, (ii) inclusion of actionable intermediate penetrance genes ATM and CHEK2, (iii) definition of a set of seven 'most actionable' cancer-susceptibility genes (BRCA1, BRCA2, PALB2, MLH1, MSH2, MSH6 and RET) in which germline follow-up is recommended regardless of tumour type.

Item Type: Article
Additional Information: © 2022 The Authors. Published by Elsevier Ltd on behalf of European Society for Medical Oncology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: cancer-susceptibility genes, germline, germline conversion rate, tumour-only sequencing, variants, Humans, Precision Medicine, Neoplasms, Gene Frequency, Germ-Line Mutation, Genes, BRCA2, Genetic Predisposition to Disease, Humans, Neoplasms, Genetic Predisposition to Disease, Gene Frequency, Germ-Line Mutation, Genes, BRCA2, Precision Medicine, tumour-only sequencing, germline, cancer-susceptibility genes, variants, germline conversion rate, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Journal or Publication Title: Ann Oncol
ISSN: 1569-8041
Language: eng
Dates:
DateEvent
20 February 2023Published
16 December 0222Published Online
11 December 2022Accepted
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Projects:
Project IDFunderFunder ID
P30 CA008748NCI NIH HHSUNSPECIFIED
C61296/A26688Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
UNSPECIFIEDInstitute of Cancer Researchhttp://dx.doi.org/10.13039/501100000027
UNSPECIFIEDEuropean Society for Medical Oncologyhttp://dx.doi.org/10.13039/501100007075
PubMed ID: 36529447
Web of Science ID: WOS:000944412400001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/116662
Publisher's version: https://doi.org/10.1016/j.annonc.2022.12.003

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