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- Title
Clinical Impact of High Throughput Sequencing on Liquid Biopsy in Advanced Solid Cancer.
- Authors
Gouton, Etienne; Malissen, Nausicaa; André, Nicolas; Jeanson, Arnaud; Pelletier, Annick; Testot-Ferry, Albane; Gaudy-Marqueste, Caroline; Dahan, Laetitia; Tabouret, Emeline; Chevalier, Thomas; Greillier, Laurent; Tomasini, Pascale
- Abstract
Background: Cancer therapies targeting actionable molecular alterations (AMA) have developed, but the clinical routine impact of high-throughput molecular profiling remains unclear. We present a monocentric experience of molecular profiling based on liquid biopsy in patients with cancer. Methods: Patients included had solid cancer and underwent cfDNA genomic profiling with FoudationOne Liquid CDx (F1LCDx) test, analyzing 324 genes. Primary endpoint was to describe patients with an AMA for whom clinical decisions were impacted by F1LCDx test results. Results: 191 patients were included, mostly with lung cancer (46%). An AMA was found in 52%. The most common molecular alterations were: TP53 (52%), KRAS (14%) and DNMT3 (11%). The most common AMA were: CHEK2 (10%), PIK3CA (9%), ATM (7%). There was no difference in progression-free survival (2.66 months vs. 3.81 months, p = 0.17), overall survival (5.3 months vs. 7.1 months, p = 0.64), or PFS2/PFS1 ratio ≥ 1.3 (20% vs. 24%, p = 0.72) between patients receiving a molecularly matched therapy (MMT) or a non-MMT, respectively. Patients with a MMT had an overall response rate of 19% and a disease control of 32%. Conclusions: Routine cfDNA molecular profiling is feasible and can lead to the access of targeted therapies. However, no notable benefit in patient's outcomes was shown in this unselected pan-cancer study.
- Subjects
FRANCE; SEQUENCE analysis; ACQUISITION of data methodology; CONFIDENCE intervals; RETROSPECTIVE studies; LUNG tumors; BLOOD collection; CANCER patients; DESCRIPTIVE statistics; SURVIVAL analysis (Biometry); MEDICAL records; GENOMICS; BODY fluid examination; PROGRESSION-free survival; ODDS ratio; LOGISTIC regression analysis; DATA analysis software
- Publication
Current Oncology, 2022, Vol 29, Issue 3, p1902
- ISSN
1198-0052
- Publication type
Article
- DOI
10.3390/curroncol29030155