Evidence map›Paper›PMID 33722295›Full record

ArticleGenome medicine2021

Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study.

Céline Callens, Keltouma Driouch, Anaïs Boulai, Zakia Tariq, Aurélie Comte, Frédérique Berger, Lisa Belin, Ivan Bièche, Vincent Servois, Patricia Legoix and 14 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article 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 NCT01956552 (Changes in Phenotype and Genotype of Breast Cancers During the Metastatic Process and Optimization of Therapeutic Targeting), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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.

NCT01956552 naterminatednot on this map

Changes in Phenotype and Genotype of Breast Cancers During the Metastatic Process and Optimization of Therapeutic Targeting

TypeinterventionalSponsorInstitut CurieRan2009 to 2016Enrolled130ConditionsMetastatic Breast CancerArmsbiopsy or cytopuncture
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. HRDrugs in context · 2023
    Review
  10. Review
  11. Article
  12. 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

24 authors.

Céline Callens *Genetics Department, Institut Curie, PSL Research University, Paris, France.
Keltouma Driouch *Genetics Department, Institut Curie, PSL Research University, Paris, France.
Anaïs BoulaiGenetics Department, Institut Curie, PSL Research University, Paris, France.
Zakia TariqGenetics Department, Institut Curie, PSL Research University, Paris, France.
Aurélie ComteDepartment of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris, France.
Frédérique BergerDepartment of Biostatistics, Institut Curie, Saint-Cloud, France.
Lisa BelinDepartment of Biostatistics, Institut Curie, Saint-Cloud, France.
Ivan BiècheGenetics Department, Institut Curie, PSL Research University, Paris, France.
Vincent ServoisImaging Department, Institut Curie, PSL Research University, Paris, France.
Patricia LegoixInstitut Curie Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, PSL Research University, Paris, France.
Virginie BernardInstitut Curie Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, PSL Research University, Paris, France.
Sylvain BaulandeInstitut Curie Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, PSL Research University, Paris, France.
Walid ChemlaliGenetics Department, Institut Curie, PSL Research University, Paris, France.
François-Clément BidardDepartment of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris, France.
Virginie FourchotteSurgery Department, Institut Curie, Paris, France.
Anne Vincent- SalomonPathology and Tumor Biology Department, Institut Curie, PSL Research University, Paris, France.
Etienne BrainMedical Oncology, Institut Curie, Saint-Cloud, France.
Rosette LidereauGenetics Department, Institut Curie, PSL Research University, Paris, France.
Thomas BachelotCentre Léon Bérard, Lyon, France.
Mahasti SaghatchianGustave Roussy Cancer Campus, Villejuif, France.
Mario CamponeInstitut de Cancérologie de l'Ouest Nantes, Nantes, France.
Sylvie GiacchettiHôpital Saint Louis, Breast diseases center, Paris, France.
Brigitte Sigal ZafraniPathology and Tumor Biology Department, Institut Curie, PSL Research University, Paris, France.
Paul CottuDepartment of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris, France. paul.cottu@curie.fr.ORCID 0000-0001-6434-3932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of metastatic subtyping during the initial metastatic event in a prospective study. The genomic landscape of metastatic breast cancer has mostly been described in very advanced, pretreated disease, limiting the findings transferability to clinical use.

methodsWe developed a multicenter, single-arm, prospective clinical trial in order to address these issues. Between November 2010 and September 2013, 123 eligible patients were included. Patients at the first, untreated metastatic event were eligible. All matched primary tumors and metastatic samples were centrally reviewed for pathological typing. Targeted and whole-exome sequencing was applied to matched pairs of frozen tissue. A multivariate overall survival analysis was performed (median follow-up 64 months).

resultsPer central review in 84 patients (out of 130), we show that luminal A breast tumors are more prone to subtype switching. By combining targeted sequencing of a 91 gene panel (n = 67) and whole-exome sequencing (n = 30), a slight excess of mutations is observed in the metastases. Luminal A breast cancer has the most heterogeneous mutational profile and the highest number of mutational signatures, when comparing primary tumor and the matched metastatic tissue. Tumors with a subtype change have more mutations that are private. The metastasis-specific mutation load is significantly higher in late than in de novo metastases. The most frequently mutated genes were TP53 and PIK3CA. The most frequent metastasis-specific druggable genes were PIK3CA, PTEN, KDR, ALK, CDKN2A, NOTCH4, POLE, SETD2, SF3B1, and TSC2. Long-term outcome is driven by a combination of tumor load and metastasis biology.

conclusionsProfiling of the first, untreated, metastatic event of breast cancer reveals a profound heterogeneity mostly in luminal A tumors and in late metastases. Based on this profiling, we can derive information relevant to prognosis and therapeutic intervention, which support current guidelines recommending a biopsy at the first metastatic relapse.

trial registrationThe trial was registered at ClinicalTrials.gov ( NCT01956552 ).

Indexed as

Clinical Decision-MakingAdultAgedAged, 80 and overBreast NeoplasmsCohort StudiesExome SequencingFemaleHumansMiddle AgedMultivariate AnalysisMutationNeoplasm MetastasisPhylogenyPrognosisProspective StudiesBreast cancerde novo metastasesMetastasisNext generation sequencingPrognosisTargetable genes

Identifiers

PMID33722295
PMCPMC7962302

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.