Cell-Free DNA at Diagnosis for Stage IV Non-Small Cell Lung Cancer: Costs, Time to Diagnosis and Clinical Relevance.
cfDNA
discrete event simulation
molecular diagnostics
non-small-cell lung cancer
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
31 Mar 2022
31 Mar 2022
Historique:
received:
22
02
2022
revised:
25
03
2022
accepted:
29
03
2022
entrez:
12
4
2022
pubmed:
13
4
2022
medline:
13
4
2022
Statut:
epublish
Résumé
Tissue biopsies can be burdensome and are only effective in 10-30% of patients with metastasized non-small-cell lung cancer (mNSCLC). Next-generation sequencing (NGS) on cell-free DNA (cfDNA) might be an attractive alternative. We evaluated the costs, throughput time, and diagnostic yield of two diagnostic scenarios with tissue and cfDNA for mNSCLC patients, compared to diagnostics based on tissue biopsy alone. Data were retrieved from 209 stage IV NSCLC patients included in 10 hospitals in the Netherlands in the observational Lung cancer Early Molecular Assessment (LEMA) trial. Discrete event simulation was developed to compare three scenarios, using LEMA data as input where possible: (1) diagnostics with "tissue only"; (2) diagnostics with "cfDNA first", and subsequent tissue biopsy if required (negative for EGFR, BRAF ALK, ROS1); (3) cfDNA if tissue biopsy failed ("tissue first"). Scenario- and probabilistic analyses were performed to quantify uncertainty. In scenario 1, 84% (Credibility Interval [CrI] 70-94%) of the cases had a clinically relevant test result, compared to 93% (CrI 86-98%) in scenario 2, and 93% (CrI 86-99%) in scenario 3. The mean throughput time was 20 days (CrI 17-23) pp in scenario 1, 9 days (CrI 7-11) in scenario 2, and 19 days (CrI 16-22) in scenario 3. Mean costs were €2304 pp (CrI €2067-2507) in scenario 1, compared to €3218 (CrI €3071-3396) for scenario 2, and €2448 (CrI €2382-2506) for scenario 3. Scenarios 2 and 3 led to a reduction in tissue biopsies of 16% and 9%, respectively. In this process-based simulation analysis, the implementation of cfDNA for patients with mNSCLC resulted in faster completion of molecular profiling with more identified targets, with marginal extra costs in scenario 3.
Identifiants
pubmed: 35406555
pii: cancers14071783
doi: 10.3390/cancers14071783
pmc: PMC8997553
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Astra Zeneca
ID : Astra Zeneca grant number Temp16745
Références
Genome Med. 2015 Jul 29;7(1):80
pubmed: 26221189
Expert Rev Pharmacoecon Outcomes Res. 2021 Jun;21(3):413-414
pubmed: 33852815
Lancet. 2016 Apr 2;387(10026):1354-1356
pubmed: 26777918
J Thorac Oncol. 2021 Oct;16(10):1647-1662
pubmed: 34246791
JCO Precis Oncol. 2019 Mar 6;3:
pubmed: 32914037
Nat Cancer. 2020 Mar;1(3):276-290
pubmed: 35122035
Lancet. 2016 Apr 2;387(10026):1415-1426
pubmed: 26777916
Med Decis Making. 2019 Jan;39(1):57-73
pubmed: 30799693
Nat Rev Clin Oncol. 2021 Jan;18(1):56-62
pubmed: 32918064
Clin Cancer Res. 2019 Aug 1;25(15):4691-4700
pubmed: 30988079
Lung Cancer Manag. 2020 Aug 17;9(4):LMT40
pubmed: 33318758
JAMA. 2014 May 21;311(19):1998-2006
pubmed: 24846037
Ann Oncol. 2019 Oct 1;30(10):1580-1590
pubmed: 31373349
Cancer Epidemiol. 2018 Dec;57:60-67
pubmed: 30317148
Clin Cancer Res. 2016 Feb 15;22(4):915-22
pubmed: 26459174
JCO Precis Oncol. 2021 Jul 09;5:
pubmed: 34632253
PLoS One. 2015 Apr 09;10(4):e0124947
pubmed: 25855983
J Thorac Oncol. 2017 Oct;12(10):1503-1511
pubmed: 28751246
Eur Radiol. 2017 Jan;27(1):138-148
pubmed: 27108299