Evidence map›Paper›PMID 34006291›Full record

Trial reportGenome medicine2021

Prospective high-throughput genome profiling of advanced cancers: results of the PERMED-01 clinical trial.

François Bertucci, Anthony Gonçalves, Arnaud Guille, José Adelaïde, Séverine Garnier, Nadine Carbuccia, Emilien Billon, Pascal Finetti, Patrick Sfumato, Audrey Monneur and 24 more

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02342158 (Identifying Molecular Alterations to Guide Individualized Treatment in Advanced Solid Tumors-PERMED01-IPC 2014-003), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02342158 nacompletednot on this map

Identifying Molecular Alterations to Guide Individualized Treatment in Advanced Solid Tumors-PERMED01-IPC 2014-003

TypeinterventionalSponsorInstitut Paoli-CalmettesRan2014 to 2022Enrolled550ConditionsNeoplasm MetastasisArmsbiopsy or surgical sampling, blood sampling
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors at 5 institutions in 1 country.

François BertucciLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France. bertuccif@ipc.unicancer.fr.ORCID 0000-0002-0157-0959
Anthony GonçalvesLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Arnaud GuilleLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
José AdelaïdeLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Séverine GarnierLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Nadine CarbucciaLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Emilien BillonDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Pascal FinettiLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Patrick SfumatoBiostatistics Unit, Institut Paoli-Calmettes, Marseille, France.
Audrey MonneurDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Christophe PécheuxDepartment of Medical genetics, Hôpital Timone Enfants, AP-HM, Marseille, France.
Martin KhranDepartment of Medical genetics, Hôpital Timone Enfants, AP-HM, Marseille, France.
Serge BrunelleDepartment of Imaging, Institut Paoli-Calmettes, Marseille, France.
Lenaïg MescamDepartment of Biopathology, Institut Paoli-Calmettes, Marseille, France.
Jeanne Thomassin-PianaDepartment of Biopathology, Institut Paoli-Calmettes, Marseille, France.
Flora PoizatDepartment of Biopathology, Institut Paoli-Calmettes, Marseille, France.
Emmanuelle Charafe-JauffretDepartment of Biopathology, Institut Paoli-Calmettes, Marseille, France.
Olivier TurriniDepartment of Surgical Oncology, Institut Paoli-Calmettes, Marseille, France.
Eric LambaudieDepartment of Surgical Oncology, Institut Paoli-Calmettes, Marseille, France.
Magali ProvansalDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Jean-Marc ExtraDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Anne MadroszykDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Marine GilabertDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Renaud SabatierDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Cécile VicierDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Emilie MamessierLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Christian ChabannonBiobank, Department of Hematology, Institut Paoli-Calmettes, Marseille, France.
Jihane PakradouniDepartment of Clinical Research and Innovation, Institut Paoli-Calmettes, Marseille, France.
Patrice ViensDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Fabrice AndréDepartment of Medical Oncology, Gustave Roussy Cancer Campus, UMR981 Inserm, Villejuif, France.
Gwenaelle GravisDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Cornel PopoviciDepartment of Oncogenetics, Institut Paoli-Calmettes, Marseille, France.
Daniel BirnbaumLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Max ChaffanetLaboratory of Predictive Oncology, Department of Medical Oncology, Centre de Recherche en Cancérologie de Marseille (CRCM), Institut Paoli-Calmettes, INSERM UMR1068, CNRS UMR725, Aix-Marseille University, 232 Boulevard Sainte-Marguerite, 13009, Marseille, France.
Institut Pprime · FRCentre National de la Recherche Scientifique · FRHôpital de la Timone · FRInserm · FRUniversité Paris-Sud · FR

Funding

Centre d'Investigations Cliniques CICp1409Ligue Contre le Cancer EL2016Ligue Contre le Cancer EL2019
6 · The paper itself

Abstract

backgroundThe benefit of precision medicine based on relatively limited gene sets and often-archived samples remains unproven. PERMED-01 (NCT02342158) was a prospective monocentric clinical trial assessing, in adults with advanced solid cancer, the feasibility and impact of extensive molecular profiling applied to newly biopsied tumor sample and based on targeted NGS (t-NGS) of the largest gene panel to date and whole-genome array-comparative genomic hybridization (aCGH) with assessment of single-gene alterations and clinically relevant genomic scores.

methodsEligible patients with refractory cancer had one tumor lesion accessible to biopsy. Extracted tumor DNA was profiled by t-NGS and aCGH. We assessed alterations of 802 "candidate cancer" genes and global genomic scores, such as homologous recombination deficiency (HRD) score and tumor mutational burden. The primary endpoint was the number of patients with actionable genetic alterations (AGAs). Secondary endpoints herein reported included a description of patients with AGA who received a "matched therapy" and their clinical outcome, and a comparison of AGA identification with t-NGS and aCGH versus whole-exome sequencing (WES).

resultsBetween November 2014 and September 2019, we enrolled 550 patients heavily pretreated. An exploitable complete molecular profile was obtained in 441/550 patients (80%). At least one AGA, defined in real time by our molecular tumor board, was found in 393/550 patients (71%, two-sided 90%CI 68-75%). Only 94/550 patients (17%, 95%CI 14-21) received an "AGA-matched therapy" on progression. The most frequent AGAs leading to "matched therapy" included PIK3CA mutations, KRAS mutations/amplifications, PTEN deletions/mutations, ERBB2 amplifications/mutations, and BRCA1/2 mutations. Such "matched therapy" improved by at least 1.3-fold the progression-free survival on matched therapy (PFS2) compared to PFS on prior therapy (PFS1) in 36% of cases, representing 6% of the enrolled patients. Within patients with AGA treated on progression, the use of "matched therapy" was the sole variable associated with an improved PFS2/PFS1 ratio. Objective responses were observed in 19% of patients treated with "matched therapy," and 6-month overall survival (OS) was 62% (95%CI 52-73). In a subset of 112 metastatic breast cancers, WES did not provide benefit in term of AGA identification when compared with t-NGS/aCGH.

conclusionsExtensive molecular profiling of a newly biopsied tumor sample identified AGA in most of cases, leading to delivery of a "matched therapy" in 17% of screened patients, of which 36% derived clinical benefit. WES did not seem to improve these results.

trial registrationID-RCB identifier: 2014-A00966-41; ClinicalTrials.gov identifier: NCT02342158 .

Indexed as

Biomarkers, TumorGenomicsHigh-Throughput Nucleotide SequencingAdultAgedAged, 80 and overBiopsyCombined Modality TherapyComparative Genomic HybridizationDisease ManagementDisease SusceptibilityFemaleGenetic VariationHumansMaleMiddle AgedBiomarkers, TumoraCGHAdvanced cancersMutationPERMED-01 trialPrecision medicineSequencingt-NGSWES

Identifiers

PMID34006291
PMCPMC8132379
OpenAlexW3161482731

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.