dc.contributor.author | Litchfield, K | |
dc.contributor.author | Stanislaw, S | |
dc.contributor.author | Spain, L | |
dc.contributor.author | Gallegos, LL | |
dc.contributor.author | Rowan, A | |
dc.contributor.author | Schnidrig, D | |
dc.contributor.author | Rosenbaum, H | |
dc.contributor.author | Harle, A | |
dc.contributor.author | Au, L | |
dc.contributor.author | Hill, SM | |
dc.contributor.author | Tippu, Z | |
dc.contributor.author | Thomas, J | |
dc.contributor.author | Thompson, L | |
dc.contributor.author | Xu, H | |
dc.contributor.author | Horswell, S | |
dc.contributor.author | Barhoumi, A | |
dc.contributor.author | Jones, C | |
dc.contributor.author | Leith, KF | |
dc.contributor.author | Burgess, DL | |
dc.contributor.author | Watkins, TBK | |
dc.contributor.author | Lim, E | |
dc.contributor.author | Birkbak, NJ | |
dc.contributor.author | Lamy, P | |
dc.contributor.author | Nordentoft, I | |
dc.contributor.author | Dyrskjøt, L | |
dc.contributor.author | Pickering, L | |
dc.contributor.author | Hazell, S | |
dc.contributor.author | Jamal-Hanjani, M | |
dc.contributor.author | PEACE Consortium, | |
dc.contributor.author | Larkin, J | |
dc.contributor.author | Swanton, C | |
dc.contributor.author | Alexander, NR | |
dc.contributor.author | Turajlic, S | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2022-08-30T09:49:29Z | |
dc.date.available | 2022-08-30T09:49:29Z | |
dc.date.issued | 2020-05-05 | |
dc.identifier | ARTN 107550 | |
dc.identifier | S2211-1247(20)30460-5 | |
dc.identifier.citation | Cell Reports, 2020, 31 (5), pp. 107550 - | |
dc.identifier.issn | 2211-1247 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5344 | |
dc.identifier.eissn | 2211-1247 | |
dc.identifier.eissn | 2211-1247 | |
dc.identifier.doi | 10.1016/j.celrep.2020.107550 | |
dc.description.abstract | Although thousands of solid tumors have been sequenced to date, a fundamental under-sampling bias is inherent in current methodologies. This is caused by a tissue sample input of fixed dimensions (e.g., 6 mm biopsy), which becomes grossly under-powered as tumor volume scales. Here, we demonstrate representative sequencing (Rep-Seq) as a new method to achieve unbiased tumor tissue sampling. Rep-Seq uses fixed residual tumor material, which is homogenized and subjected to next-generation sequencing. Analysis of intratumor tumor mutation burden (TMB) variability shows a high level of misclassification using current single-biopsy methods, with 20% of lung and 52% of bladder tumors having at least one biopsy with high TMB but low clonal TMB overall. Misclassification rates by contrast are reduced to 2% (lung) and 4% (bladder) when a more representative sampling methodology is used. Rep-Seq offers an improved sampling protocol for tumor profiling, with significant potential for improved clinical utility and more accurate deconvolution of clonal structure. | |
dc.format | Print | |
dc.format.extent | 107550 - | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | CELL PRESS | |
dc.relation.ispartof | Cell Reports | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | biomarkers | |
dc.subject | homogenization | |
dc.subject | molecular profiling | |
dc.subject | representative sampling | |
dc.subject | tumor hetereogeneity | |
dc.subject | tumor mutational burden | |
dc.subject | tumor sampling | |
dc.subject | tumor sequencing | |
dc.subject | Biomarkers, Tumor | |
dc.subject | Biopsy | |
dc.subject | High-Throughput Nucleotide Sequencing | |
dc.subject | Humans | |
dc.subject | Lung Neoplasms | |
dc.subject | Mutation | |
dc.subject | Tumor Burden | |
dc.subject | Urinary Bladder Neoplasms | |
dc.title | Representative Sequencing: Unbiased Sampling of Solid Tumor Tissue. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2020-04-01 | |
dc.date.updated | 2022-08-30T09:48:37Z | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1016/j.celrep.2020.107550 | |
rioxxterms.licenseref.startdate | 2020-05-05 | |
rioxxterms.type | Journal Article/Review | |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/32375028 | |
pubs.issue | 5 | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Clinical Studies | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology/Molecular & Population Genetics | |
pubs.organisational-group | /ICR/Primary Group/Royal Marsden Clinical Units | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer/Melanoma and Kidney Cancer (hon.) | |
pubs.organisational-group | /ICR/Students | |
pubs.organisational-group | /ICR/Students/PhD and MPhil | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/17/18 Starting Cohort | |
pubs.organisational-group | /ICR/Students/PhD and MPhil/13/14 Starting Cohort | |
pubs.publication-status | Published | |
pubs.volume | 31 | |
icr.researchteam | Molec & Popul Genetics | |
icr.researchteam | Melanoma & Kidney Cancer | |
dc.contributor.icrauthor | Litchfield, Kevin | |
dc.contributor.icrauthor | Au, Lewis | |
icr.provenance | Deposited by Mr Arek Surman on 2022-08-30. Deposit type is initial. No. of files: 1. Files: 1-s2.0-S2211124720304605-main.pdf | |