| Literature DB >> 34740331 |
Antoine Italiano1, Derek Dinart2,3, Isabelle Soubeyran4, Carine Bellera5,6, Hélène Espérou7, Christelle Delmas7, Noémie Mercier8, Sabrina Albert5,6, Ludivine Poignie6, Anne Boland9, Aurélien Bourdon10,11, Damien Geneste10,11, Quentin Cavaille10,11, Yec'han Laizet10,11, Emmanuel Khalifa4, Céline Auzanneau4, Barbara Squiban4, Nathalène Truffaux4, Robert Olaso9, Zuzana Gerber9, Cédrick Wallet5,12, Antoine Bénard5,12, Jean-Yves Blay13, Pierre Laurent-Puig14, Jean-François Deleuze9, Carlo Lucchesi10,11, Simone Mathoulin-Pelissier5,6.
Abstract
BACKGROUND: Soft-tissue sarcomas (STS) represent a heterogeneous group of rare tumors including more than 70 different histological subtypes. High throughput molecular analysis (next generation sequencing exome [NGS]) is a unique opportunity to identify driver mutations that can change the usual one-size-fits-all treatment paradigm to a patient-driven therapeutic strategy. The primary objective of the MULTISARC trial is to assess whether NGS can be conducted for a large proportion of metastatic STS participants within a reasonable time, and, secondarily to determine whether a NGS-guided therapeutic strategy improves participant's outcome.Entities:
Keywords: Biomarker-driven; Next generation sequencing; Soft-tissue sarcomas; Umbrella
Mesh:
Year: 2021 PMID: 34740331 PMCID: PMC8570026 DOI: 10.1186/s12885-021-08878-2
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Outcomes, measures and methods of analysis
| Outcome | Hypothesis/outcome measure | Methods of analysis |
|---|---|---|
| Feasibility of NGS | 80% of patients will present a validated sequencing report including a clinical recommendation from the MTB within 7 weeks from the receipt of the blood and tumor samples | Binomial test/ Confidence Interval |
| Overall survival (OS) | Improvement of OS in NGS arm | Kaplan-Meir/Log-rank test |
| Progression-free survival (PFS) | Improvement of PFS in NGS arm | Kaplan-Meir/Log-rank test |
| Patients with targetable genomic alterations | Count and proportion of patients | Confidence Interval |
| Antitumor activity under targeted therapy (objective response, best overall response, disease control rate) | Count and proportion of patients following RECIST1.1 criteria. | Confidence Interval |
List of additional eligibility criteria
| N° | Inclusion criteria | Non-inclusion criteria |
|---|---|---|
| 1 | Archived FFPE block of specimen tumor sampling obtained anytime during disease development for research purpose, | Previous allogeneic bone marrow transplant, |
| 2 | No prior or concurrent malignant disease diagnosed or treated in the last two years before inclusion, except for in situ carcinoma of the cervix and adequately treated basal cell or squamous cell carcinoma of the skin and prostate cancer, | Evidence of severe or uncontrolled systemic disease (uncontrolled hypertension, active bleeding diatheses, or active Hepatitis B, C and HIV or active autoimmune disease), |
| 3 | Participant with a social security in compliance with the French law | Any condition which in the Investigator’s opinion makes it undesirable for the subject to participate in the trial or which would jeopardize compliance with the protocol, |
| 4 | Individuals deprived of liberty or placed under guardianship | |
| 5 | Pregnant or breast feeding women, | |
| 6 | Men or women refusing contraception, | |
| 7 | Previous enrolment in the present study, | |
| 8 | Any contraindication to first-line systemic treatment. |
: list of available targeted therapies and corresponding mechanisms of action
| Drugs | Molecular targets |
|---|---|
| Ceritinib | ALK |
| ROS | |
| Capmatinib | MET |
| Lapatinib | ERBB2 |
| EGFR | |
| Nilotinib | KIT |
| PDGFRA | |
| CSF1R | |
| Trametinib | KRAS, NRAS, HRAS |
| PTPN11 | |
| NF1 | |
| MAP 2 K | |
| Trametinib + Dabrafenib | BRAF |
| Durvalumab + Olaparib | PDL1 |
| PARP | |
| Palbociclib | CDK4 |
| CDK6 | |
| Glasdegib | SMO |
| TAS-120 | FGFR |