Evidence map›Paper›PMID 41280554›Full record

ArticleThe Lancet regional health. Europe2026

Management and survival of patients with cancer of unknown primary discussed by a French national multidisciplinary tumour board: a retrospective analysis.

Célia Dupain, Nicolas Jacquin, Aurélien Latouche, Zoé Nevière, Pierre Gestraud, Abderaouf Hamza, Kenza Nedara, Vincent Cockenpot, Janick Selves, Yves Allory and 24 more

Erratum issuedAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Célia DupainDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Nicolas JacquinDepartment of Medical Oncology, Institut Curie, Paris, France.
Aurélien LatoucheINSERM U1331, Institut Curie, Saint-Cloud, France and Paris-Saclay University, Paris, France.
Zoé NevièreDepartment of Medical Oncology, Centre François Baclesse, Caen, France.
Pierre GestraudINSERM U1331, Curie CoreTech Bioinformatics (CUBIC), Institut Curie Research Center, Mines ParisTech, Paris, France.
Abderaouf HamzaDepartment of Genetics, Institut Curie, Paris, France.
Kenza NedaraDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Vincent CockenpotDepartment of Pathology, Institut Curie, Paris, France.
Janick SelvesDepartment of Pathology, Institut Universitaire du Cancer Oncopole University Hospital of Toulouse, 31059, Toulouse, France.
Yves AlloryDepartment of Pathology, Institut Curie, Paris, France.
Laëtitia ChanasData Office, Institut Curie, Paris, France.
Maud MilderData Office, Institut Curie, Paris, France.
Isabelle SoubeyranDepartment of Pathology, Institut Bergonié, Bordeaux, France.
Hélène BlonsInstitut du Cancer Paris Carpem, APHP Centre, Department of Biology, Pharmacogenomics and Molecular Oncology Unit, Hôpital Européen Georges Pompidou, Paris, France.
Anna PatrikidouDepartment of Cancer Medicine, Gustave Roussy Cancer Center, Université Paris-Saclay, Villejuif, France.
Axel de BernardiDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Julien Masliah-PlanchonDepartment of Genetics, Institut Curie, Paris, France.
Odette MarianiCenter of Biological Ressources, Institut Curie, Paris, France.
Etienne RouleauBiology and Pathology Department, Cancer Genetic Service, Gustave Roussy Cancer Center, U981, Université Paris-Saclay, Villejuif, France.
Fabienne EscandeCHRU Lille, Lille, France.
Sandrine BoyaultDepartment of Translationnal Research and Innovation, Centre de Recherche en Cancérologie de Lyon CRCL, INSERM U1052, CNRS UMR 5286, Centre Léon Bérard, UCBL1, Lyon, France.
Pierre SaintignyDepartment of Translationnal Research and Innovation, Centre de Recherche en Cancérologie de Lyon CRCL, INSERM U1052, CNRS UMR 5286, Centre Léon Bérard, UCBL1, Lyon, France.
Florence de FraipontCHU Grenoble, France.
Pierre BlancLaboratoire SeqOIA, France.
Jennifer WongDepartment of Genetics, Institut Curie, Paris, France.
Camille TlemsaniDepartment of Medical Oncology, Hôpital Cochin, APHP Centre, Université Paris Cité, Paris, France.
Isabelle GuillouDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Julie FlaviusDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Noemie FuentealbaDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Maud KamalDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Ivan BiècheDepartment of Genetics, Institut Curie, Paris, France.
Nicolas ServantINSERM U1331, Curie CoreTech Bioinformatics (CUBIC), Institut Curie Research Center, Mines ParisTech, Paris, France.
Christophe Le TourneauDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Sarah WatsonDepartment of Medical Oncology, Institut Curie, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent clinical trials have shown that molecularly-guided treatments can improve survival in patients with cancers of unknown primary (CUP). However, the feasibility and clinical benefit of these treatments for CUP in a real-life setting remain uncertain. In France, a national multidisciplinary tumour board dedicated to patients with CUP (CUP MTB) was created in 2020, with the aims of coordinating pathological and molecular diagnostic analyses and providing a centralised expertise for therapeutic orientation. This study aimed at evaluating the diagnostic and therapeutic impact of the CUP MTB on patients with CUP in a national real-life setting. Methods: Patient and tumour characteristics, treatments and outcomes are collected prospectively. This study reports the diagnostic and therapeutic impact of all patients discussed in CUP_MTB between July 2020 and December 2023. The diagnostic impact was defined as the identification of a putative tissue of origin, and the initiation of a MTB-oriented treatment. Overall survival was estimated using the Kaplan-Meier method, and hazard ratios were calculated using Cox proportional hazard models. Findings: A total of 246 CUP patients were referred to CUP_MTB (124 females and 122 men); 187 (76%) underwent pathological and molecular characterizations as recommended by the MTB. Tumour profiling enabled the identification of a putative tissue of origin (TOO) in 130/187 (70%) patients. The most frequent TOO were gastrointestinal (n = 29; 22%), lung (n = 22; 17%), breast (n = 21; 16%), and kidney (n = 19; 15%). 149 (61%) patients received a treatment based on MTB recommendation. 111/149 (74.5%) patients received MTB-oriented treatment, including systemic treatment oriented towards the putative TOO (n = 95, 63.8%), or treatment directed towards a targetable molecular alteration (n = 16, 10.7%). 38 (25.5%) patients for whom no MTB-oriented treatment could be recommended were treated with empiric treatment according to international guidelines. The median overall survival of patients treated with MTB-oriented treatment was 18.6 (IQR = 12.0) months, compared to 11.0 (IQR = 10.5) months in patients with empiric treatment (HR = 0.61, 95% CI 0.38-0.98, p = 0.04). Interpretation: Integration of clinical, pathological and molecular data within an expert MTB is feasible in a real-life setting, enables access to molecularly guided treatments and improves survival for a large proportion of CUP patients. Our findings highlight the benefits of dedicated MTB and reference centres to improve the management of CUP. Funding: Institut Curie and the 2025 French Genomic Medicine Initiative.

Indexed as

Cancer of unknown primaryMultidisciplinary tumour boardNext generation sequencingPersonalized medicineSurvival

Identifiers

PMID41280554
PMCPMC12639886

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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.