EORTC-SPECTA Arcagen study, comprehensive genomic profiling and treatment adaptation of rare thoracic cancers.
Marco TagliamentoMarie MorfouaceCharalambos LoizidesJulio OliveiraLaurent GreillierJudith RaimbourgAnne-Claire ToffartThierry ChatellierNicolas CloarecIvana G SullivanBirute BrasiunieneMichael DuruisseauxKersti OselinMarie-Sophie RobertCarolina FernandesArnaud PoncinJean Yves BlayBenjamin BesseNicolas GirardPublished in: NPJ precision oncology (2024)
Arcagen (NCT02834884) is a European prospective study aiming at defining the molecular landscape of rare cancers for treatment guidance. We present data from the cohort of rare thoracic tumors. Patients with advanced pleural mesothelioma (PM) or thymic epithelial tumors (TET) underwent genomic profiling with large targeted assay [>300 genes, tumor mutational burden (TMB), microsatellite instability (MSI) status] on formalin-fixed paraffin-embedded (FFPE) or plasma samples. EORTC molecular tumor board (MTB) advised for biomarker-guided treatments. 102 patients recruited from 8 countries between July 2019 and May 2022 were evaluable: 56 with PM, 46 with TET (23 thymomas, 23 thymic carcinomas). Molecular profiling was performed on 70 FFPE samples (42 PM, 28 TET), and 32 cases on ctDNA (14 PM, 18 TET), within a median turnaround time of 8 days from sample reception. We detected relevant molecular alterations in 66 out of 102 patients (65%; 79% PM, 48% TET), 51 of 70 FFPE samples (73%; 90% PM, 46% TET), and 15 of 32 plasma samples (47%; 43% PM, 50% TET). The most frequently altered genes were CDKN2A/B, BAP1, MTAP in PM and TP53, CDKN2A/B, SETD2 in TET. The TMB was low (mean 3.2 Muts/MB), 2 PM had MSI-high status. MTB advised molecular-guided treatment options in 32 situations, for 17 PM and 15 TET patients (75% clinical trial option, 22% off-label drug or compassionate use, 3% early access program). Molecular testing and MTB discussion were feasible for patients with rare thoracic cancers and allowed the broadening of treatment options for 30% of the cases.
Keyphrases
- particulate matter
- air pollution
- polycyclic aromatic hydrocarbons
- heavy metals
- clinical trial
- end stage renal disease
- ejection fraction
- newly diagnosed
- water soluble
- mycobacterium tuberculosis
- spinal cord
- prognostic factors
- single cell
- drug delivery
- gene expression
- emergency department
- randomized controlled trial
- pulmonary tuberculosis
- big data
- young adults
- electronic health record
- deep learning
- patient reported
- drug induced
- high grade
- data analysis