| Literature DB >> 31591595 |
Francesca Chemi1,2, Dominic G Rothwell1, Nicholas McGranahan3,4,5, Sakshi Gulati1, Chris Abbosh4, Simon P Pearce1, Cong Zhou1, Gareth A Wilson4,5, Mariam Jamal-Hanjani3,4, Nicolai Birkbak4,5,6, Jackie Pierce1, Chang Sik Kim1, Saba Ferdous1, Deborah J Burt1, Daniel Slane-Tan1, Fabio Gomes2, David Moore4, Rajesh Shah7, Maise Al Bakir5, Crispin Hiley3,4, Selvaraju Veeriah4, Yvonne Summers8, Philip Crosbie2,8,9, Sophia Ward5, Barbara Mesquita1, Marek Dynowski10, Dhruva Biswas5, Jonathan Tugwood1, Fiona Blackhall2,8, Crispin Miller11, Allan Hackshaw4, Ged Brady12,13, Charles Swanton14,15,16, Caroline Dive17,18.
Abstract
Approximately 50% of patients with early-stage non-small-cell lung cancer (NSCLC) who undergo surgery with curative intent will relapse within 5 years1,2. Detection of circulating tumor cells (CTCs) at the time of surgery may represent a tool to identify patients at higher risk of recurrence for whom more frequent monitoring is advised. Here we asked whether CellSearch-detected pulmonary venous CTCs (PV-CTCs) at surgical resection of early-stage NSCLC represent subclones responsible for subsequent disease relapse. PV-CTCs were detected in 48% of 100 patients enrolled into the TRACERx study3, were associated with lung-cancer-specific relapse and remained an independent predictor of relapse in multivariate analysis adjusted for tumor stage. In a case study, genomic profiling of single PV-CTCs collected at surgery revealed higher mutation overlap with metastasis detected 10 months later (91%) than with the primary tumor (79%), suggesting that early-disseminating PV-CTCs were responsible for disease relapse. Together, PV-CTC enumeration and genomic profiling highlight the potential of PV-CTCs as early predictors of NSCLC recurrence after surgery. However, the limited sensitivity of PV-CTCs in predicting relapse suggests that further studies using a larger, independent cohort are warranted to confirm and better define the potential clinical utility of PV-CTCs in early-stage NSCLC.Entities:
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Year: 2019 PMID: 31591595 PMCID: PMC6986897 DOI: 10.1038/s41591-019-0593-1
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440