| Title: |
Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma |
| Authors: |
Black, J.R.M.; Bartha, G.; Abbott, C.W.; Boyle, S.M.; Karasaki, T.; Li, B.; Chen, R.; Harris, J.; Veeriah, S.; Colopi, M.; Bakir, M.A.; Liu, W.K.; Lyle, J.; Navarro, F.C.P.; Northcott, J.; Pyke, R.M.; Hill, M.S.; Thol, K.; Huebner, A.; Bailey, C.; Colliver, E.C.; Martínez-Ruiz, C.; Grigoriadis, K.; Pawlik, P.; Moore, D.A.; Marinelli, D.; Shutkever, O.G.; Murphy, C.; Sivakumar, M.; Lester, J.F.; Bajaj, A.; Nakas, A.; Sodha-Ramdeen, A.; Tufail, M.; Scotland, M.; Boyles, R.; Rathinam, S.; Wilson, C.; Marrone, D.; Dulloo, S.; Fennell, D.A.; Matharu, G.; Boleti, E.; Cheyne, H.; Khalil, M.; Richardson, S.; Cruickshank, T.; Price, G.; Kerr, K.M.; Benafif, S.; French, J.; Gilbert, K.; Naidu, B.; Patel, A.J.; Osman, A.; Enstone, C.; Langman, G.; Shackleford, H.; Djearaman, M.; Kadiri, S.; Middleton, G.; Leek, A.; Hodgkinson, J.D.; Totton, N.; Montero, A.; Smith, E.; Fontaine, E.; Granato, F.; Paiva-Correia, A.; Novasio, J.; Rammohan, K.; Joseph, L.; Bishop, P.; Shah, R.; Moss, S.; Joshi, V.; Crosbie, P.A.J.; Brown, K.D.; Carter, M.; Chaturvedi, A.; Oliveira, P.; Lindsay, C.R.; Blackhall, F.H.; Krebs, M.G.; Summers, Y.; Clipson, A.; Tugwood, J.; Kerr, A.; Rothwell, D.G.; Dive, C.; Aerts, H.J.W.L.; Schwarz, R.F.; Kaufmann, T.L.; Wilson, G.A.; Rosenthal, R.; Van Loo, P.; Birkbak, N.J.; Szallasi, Z.; Kisistok, J.; Sokac, M.; Salgado, R.; Diossy, M.; Demeulemeester, J.; Bunkum, A.; Dwornik, A.; Magness, A.; Rowan, A.J.; Karamani, A.; Toncheva, A.; Chain, B.; Castignani, C.; Abbosh, C.; Puttick, C.; Weeden, C.E.; Lee, C.; Richard, C.; Hiley, C.T.; Naceur-Lombardelli, C.; Pearce, D.R.; Karagianni, D.; Biswas, D.; Levi, D.; Cadieux, E.L.; Lim, E.L.; Nye, E.; Grönroos, E.; Gálvez-Cancino, F.; Gimeno-Valiente, F.; Kassiotis, G.; Stavrou, G.; Mastrokalos, G.-T.; Lowe, H.L.; Matos, I.G.; Noorani, I.; Goldman, J.; Reading, J.L.; Rane, J.K.; Nicod, J.; Hartley, J.A.; Peggs, K.S.; Enfield, K.S.S.; Selvaraju, K.; Litchfield, K.; Ng, K.W.; Chen, K.; Dijkstra, K.; Thakkar, K.; Ensell, L.; Shah, M.; Litovchenko, M.; Sunderland, M.W.; Huska, M.R.; Dietzen, M.; Leung, M.M.; Escudero, M.; Angelova, M.; Tanić, M.; Kanu, N.; Chervova, O.; Lucas, O.; Pich, O.; Al-Sawaf, O.; Prymas, P.; Hobson, P.; Stone, R.K.; Bentham, R.; Hynds, R.E.; Vendramin, R.; Saghafinia, S.; Gamble, S.; Ung, S.K.A.; Quezada, S.A.; Vanloo, S.; Zaccaria, S.; Hessey, S.; Ward, S.; Harries, S.; Boeing, S.; Beck, S.; Bola, S.K.; Denner, T.; Marafioti, T.; Watkins, T.B.K.; Jones, T.P.; Spanswick, V.; Barbè, V.; Lu, W.-T.; Hill, W.; Wu, Y.; Naito, Y.; Ramsden, Z.; Veiga, C.; Royle, G.; Collins-Fekete, C.-A.; Fraioli, F.; Ashford, P.; Forster, M.D.; Lee, S.M.; Borg, E.; Falzon, M.; Papadatos-Pastos, D.; Wilson, J.; Ahmad, T.; Procter, A.J.; Ahmed, A.; Taylor, M.N.; Nair, A.; Lawrence, D.; Patrini, D.; Navani, N.; Thakrar, R.M.; Janes, S.M.; Hoogenboom, E.M.; Monk, F.; Holding, J.W.; Choudhary, J.; Bhakhri, K.; Scarci, M.; Gorman, P.; Khiroya, R.; Stephens, R.C.M.; Wong, Y.N.S.; Kaplar, Z.; Bandula, S.; Hacker, A.-M.; Sharp, A.; Smith, S.; Dhanda, H.K.; Pilotti, C.; Leslie, R.; Grapa, A.; Zhang, H.; AbdulJabbar, K.; Pan, X.; Yuan, Y.; Chuter, D.; MacKenzie, M.; Chee, S.; Alzetani, A.; Cave, J.; Richards, J.; Lim, E.; De Sousa, P.; Jordan, S.; Rice, A.; Raubenheimer, H.; Bhayani, H.; Ambrose, L.; Devaraj, A.; Chavan, H.; Begum, S.; Buderi, S.I.; Kaniu, D.; Malima, M.; Booth, S.; Nicholson, A.G.; Fernandes, N.; Shah, P.; Proli, C.; Hewish, M.; Danson, S.; Shackcloth, M.J.; Robinson, L.; Russell, P.; Blyth, K.G.; Kidd, A.; Dick, C.; Le Quesne, J.; Kirk, A.; Asif, M.; Bilancia, R.; Kostoulas, N.; Thomas, M.; Shaw, J.A.; Hackshaw, A.; McGranahan, N.; Jamal-Hanjani, M.; Frankell, A.M.; Chen, R.O.; Swanton, C. |
| Publisher Information: |
Springer Science and Business Media LLC |
| Publication Year: |
2025 |
| Collection: |
White Rose Research Online (Universities of Leeds, Sheffield & York) |
| Description: |
Circulating tumor DNA (ctDNA) detection can predict clinical risk in early-stage tumors. However, clinical applications are constrained by the sensitivity of clinically validated ctDNA detection approaches. NeXT Personal is a whole-genome-based, tumor-informed platform that has been analytically validated for ultrasensitive ctDNA detection at 1–3 ppm of ctDNA with 99.9% specificity. Through an analysis of 171 patients with early-stage lung cancer from the TRACERx study, we detected ctDNA pre-operatively within 81% of patients with lung adenocarcinoma (LUAD), including 53% of those with pathological TNM (pTNM) stage I disease. ctDNA predicted worse clinical outcome, and patients with LUAD with |
| Document Type: |
article in journal/newspaper |
| File Description: |
text |
| Language: |
English |
| ISSN: |
1078-8956 |
| Relation: |
https://eprints.whiterose.ac.uk/id/eprint/223859/1/Ultrasensitive%20ctDNA%20detection%20for%20preoperative%20disease%20stratification%20in%20early-stage%20lung%20adenocarcinoma.pdf; Black, J.R.M. orcid.org/0000-0001-5598-7752 , Bartha, G., Abbott, C.W. et al. (277 more authors) (2025) Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma. Nature Medicine, 31 (1). pp. 70-76. ISSN: 1078-8956 |
| Availability: |
https://eprints.whiterose.ac.uk/id/eprint/223859/ |
| Rights: |
cc_by_4 |
| Accession Number: |
edsbas.C03B0195 |
| Database: |
BASE |