Evidence map›Paper›PMID 37708140›Full record

ArticlePloS one2023

Retrospective analysis of real-world data to evaluate actionability of a comprehensive molecular profiling panel in solid tumor tissue samples (REALM study).

Karen Leroy, Clarisse Audigier Valette, Jérôme Alexandre, Lise Boussemart, Jean Chiesa, Clotilde Deldycke, Carlos Gomez-Rocca, Antoine Hollebecque, Jacqueline Lehmann-Che, Antoinette Lemoine and 9 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
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

19 authors.

Karen LeroyUniversité Paris Cité, Sorbonne Université, Inserm, Centre de Recherche des Cordeliers, Paris, France.ORCID 0000-0002-4379-0140
Clarisse Audigier ValettePôle Médecine à Orientation Oncologique, Hôpital Sainte Musse, Toulon, France.
Jérôme AlexandreUniversité Paris Cité, Sorbonne Université, Inserm, Centre de Recherche des Cordeliers, Paris, France.
Lise BoussemartService de Dermatologie, CHU de Nantes-Hôtel Dieu, Nantes, France.
Jean ChiesaUF de Cytogénétique et Génétique Médicale, Hôpital Universitaire Carémeau, Nîmes, France.
Clotilde DeldyckePôle Régional de Cancérologie-CHU de Poitiers, Poitiers, France.
Carlos Gomez-RoccaOncologie Médicale, IUCT Oncopole, Toulouse, France.
Antoine HollebecqueDITEP, Gustave Roussy, Villejuif, France.
Jacqueline Lehmann-CheUniversité Paris Cité, INSERM U976, Immunologie Humaine, Pathophysiologie, Immunothérapie (HIPI), Paris, France.
Antoinette LemoineBiochimie et Oncogénétique-Inserm UMRS 1193, Hôpital Paul Brousse, AP-HP, Paris, France.
Sandrine MansardService de Dermatologie, CHU-Estaing, Clermont-Ferrand, France.
Jacques MedioniCentre d'Essais Précoces en Cancérologie, Hôpital Européen Georges Pompidou, Paris, France.
Isabelle MonnetService de Pneumologie, Hôpital Intercommunal de Créteil, Créteil, France.
Samia MourahUniversité Paris Cité, INSERM U976, Immunologie Humaine, Pathophysiologie, Immunothérapie (HIPI), Paris, France.
Thomas PierretOnco-Pneumologie, Hospices Civils de Lyon, Lyon, France.ORCID 0000-0002-4297-7413
Dominique SpaëthCentre d'Oncologie de Gentilly, Institut Interrégional de Cancérologie, Nancy, France.
Alexandre CivetCentre de Données Médicales, Roche S.A.S, Boulogne-Billancourt, France.
Sandrine GaloinAffaires Médicales, Roche S.A.S, Boulogne-Billancourt, France.
Antoine ItalianoUnité d'études de Phases Précoces, Institut Bergonié, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionConsidering the growing interest in matched cancer treatment, our aim was to evaluate the ability of a comprehensive genomic profiling (CGP) assay to propose at least one targeted therapy given an identified genomic alteration or signature (actionability), and to collect the treatment modifications based on the CGP test results in clinical practise for solid tumors.

methodsThis retrospective, multicentre French study was conducted among 25 centres that participated in a free of charge program between 2017 and 2019 for a tissue CGP test. Data were collected on the patient, disease, tumor genomic profile, treatment suggested in the report (related to the genomic profile results) and subsequent therapeutic decisions according to the physician's declaration.

resultsAmong the 416 patients, most had lung cancer (35.6%), followed by biliary tract cancer (11.5%) or rare cancers (11.1%); 75% had a metastatic disease. The actionability was 75.0% (95% CI [70.6%-78.9%]) for all patients, 85.1% and 78.4%, respectively in lung cancer and metastatic patients. After exclusion of clinical trial suggestions, the actionability decreased to 62.3% (95% CI [57.5%-66.8%]). Treatment modification based on the test results was observed in 17.3% of the patients and was more frequent in metastatic disease (OR = 2.73, 95% CI [1.31-5.71], p = 0.007). The main reasons for no treatment modification were poor general condition (33.2%) and stable disease or remission (30.2%). The genomic-directed treatment changes were performed mostly during the first six months after the CGP test, and interestingly a substantial part was observed from six to 24 months after the genomic profiling.

conclusionThis French study provides information on the real-life actionability of a CGP test based on tissue samples, and trends to confirm its utility in clinical practice across the course of the disease, in particularly for patients with lung cancer and/or advanced disease.

Indexed as

Lung NeoplasmsNeoplasms, Second PrimaryBiological AssayGenetic ProfileHumansRetrospective Studies

Identifiers

PMID37708140
PMCPMC10501576

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.