volume 31 issue 1 pages 70-76

Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma

James R M Black 1, 2
Gabor Bartha 3
Charles W Abbott 3
Sean Michael Boyle 3
Takahiro Karasaki 1, 2, 4, 5
Ruijiang Li 3
Rui Chen 3
Jason Harris 3
Selvaraju Veeriah 1
Martina Colopi 1
Maise Al Bakir 1, 2
Wing Kin Liu 1
John Lyle 3
Fabio C.P. Navarro 3
Josette Northcott 3
Rachel Marty Pyke 3
Mark S. Hill 1, 2
Kerstin Thol 1, 6
Ariana Huebner 1, 2, 6
Chris Bailey 1, 2
Emma Colliver 1, 2
Carlos Martínez-Ruiz 1, 6
Kristiana Grigoriadis 1, 2, 6
Piotr Pawlik 1, 6
David A. Moore 1, 2, 7
Daniele Marinelli 1, 6, 8
Oliver G Shutkever 1
Cian Murphy 1, 2
Monica Sivakumar 1
Jason F. Lester 9
Amrita Bajaj 1, 6
Apostolos Nakas 1, 4, 10
Azmina Sodha-Ramdeen 1, 2
Mohamad Tufail 3
Molly Scotland 1, 2, 10
Publication typeJournal Article
Publication date2025-01-13
scimago Q1
wos Q1
SJR18.333
CiteScore82.4
Impact factor50.0
ISSN10788956, 1546170X, 17447933
Abstract

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 <80 ppm preoperative ctDNA levels (the 95% limit of detection of a ctDNA detection approach previously published in TRACERx) experienced reduced overall survival compared with ctDNA-negative patients with LUAD. Although prospective studies are needed to confirm the clinical utility of the assay, these data show that our approach has the potential to improve disease stratification in early-stage LUADs.

Found 
Found 

Top-30

Journals

1
2
3
Nature Medicine
3 publications, 8.11%
Lung Cancer
2 publications, 5.41%
Biosensors and Bioelectronics
2 publications, 5.41%
InFo Hämatologie + Onkologie
1 publication, 2.7%
Independent Nurse
1 publication, 2.7%
Gynecologic Oncology
1 publication, 2.7%
Translational Oncology
1 publication, 2.7%
Seminars in Radiation Oncology
1 publication, 2.7%
Annals of Oncology
1 publication, 2.7%
Journal of Thoracic Oncology
1 publication, 2.7%
PLoS Medicine
1 publication, 2.7%
American Society of Clinical Oncology Educational Book
1 publication, 2.7%
International Journal of Molecular Sciences
1 publication, 2.7%
Nature Reviews Clinical Oncology
1 publication, 2.7%
npj Precision Oncology
1 publication, 2.7%
Trends in Cancer
1 publication, 2.7%
Cancer Research Communications
1 publication, 2.7%
Cancer Discovery
1 publication, 2.7%
Future Oncology
1 publication, 2.7%
Sensors and Actuators, B: Chemical
1 publication, 2.7%
BMC Cancer
1 publication, 2.7%
JAMA Oncology
1 publication, 2.7%
Journal of the American Chemical Society
1 publication, 2.7%
Breathe
1 publication, 2.7%
Cancers
1 publication, 2.7%
Journal of Thoracic and Cardiovascular Surgery
1 publication, 2.7%
JAMA - Journal of the American Medical Association
1 publication, 2.7%
Cell
1 publication, 2.7%
Onkologische Welt
1 publication, 2.7%
1
2
3

Publishers

2
4
6
8
10
12
14
Elsevier
14 publications, 37.84%
Springer Nature
7 publications, 18.92%
Cold Spring Harbor Laboratory
3 publications, 8.11%
MDPI
2 publications, 5.41%
American Association for Cancer Research (AACR)
2 publications, 5.41%
American Medical Association (AMA)
2 publications, 5.41%
Mark Allen Group
1 publication, 2.7%
Public Library of Science (PLoS)
1 publication, 2.7%
American Society of Clinical Oncology (ASCO)
1 publication, 2.7%
Taylor & Francis
1 publication, 2.7%
American Chemical Society (ACS)
1 publication, 2.7%
European Respiratory Society (ERS)
1 publication, 2.7%
Georg Thieme Verlag KG
1 publication, 2.7%
2
4
6
8
10
12
14
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
37
Share
Cite this
GOST |
Cite this
GOST Copy
Black J. R. M. et al. Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma // Nature Medicine. 2025. Vol. 31. No. 1. pp. 70-76.
GOST all authors (up to 50) Copy
Black J. R. M. et al. Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma // Nature Medicine. 2025. Vol. 31. No. 1. pp. 70-76.
RIS |
Cite this
RIS
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Black,
author = {James R M Black and Gabor Bartha and Charles W Abbott and Sean Michael Boyle and Takahiro Karasaki and Ruijiang Li and Rui Chen and Jason Harris and Selvaraju Veeriah and Martina Colopi and Maise Al Bakir and Wing Kin Liu and John Lyle and Fabio C.P. Navarro and Josette Northcott and Rachel Marty Pyke and Mark S. Hill and Kerstin Thol and Ariana Huebner and Chris Bailey and Emma Colliver and Carlos Martínez-Ruiz and Kristiana Grigoriadis and Piotr Pawlik and David A. Moore and Daniele Marinelli and Oliver G Shutkever and Cian Murphy and Monica Sivakumar and Jason F. Lester and Amrita Bajaj and Apostolos Nakas and Azmina Sodha-Ramdeen and Mohamad Tufail and Molly Scotland and others},
title = {Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma},
journal = {Nature Medicine},
year = {2025},
volume = {31},
publisher = {Springer Nature},
month = {jan},
url = {https://www.nature.com/articles/s41591-024-03216-y},
number = {1},
pages = {70--76},
doi = {10.1038/s41591-024-03216-y}
}
MLA
Cite this
MLA Copy
Black, James R. M., et al. “Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma.” Nature Medicine, vol. 31, no. 1, Jan. 2025, pp. 70-76. https://www.nature.com/articles/s41591-024-03216-y.