Evidence map›Paper›PMID 39090361›Full record

ArticleBritish journal of cancer2024

Copy number alterations in metastatic and early breast tumours: prognostic and acquired biomarkers of resistance to CDK4/6 inhibitors.

Marie-Paule Sablin, Pierre Gestraud, Sarah Flora Jonas, Constance Lamy, Magali Lacroix-Triki, Thomas Bachelot, Thomas Filleron, Ludovic Lacroix, Alicia Tran-Dien, Pascal Jézéquel and 12 more

Abstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

22 authors.

Marie-Paule Sablin *Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Pierre Gestraud *Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France.ORCID http://orcid.org/0000-0002-3893-9879
Sarah Flora Jonas *Service de Biostatistique et d'Épidémiologie, Gustave Roussy, Université Paris-Saclay, Villejuif, France.
Constance LamyDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.
Magali Lacroix-TrikiDepartment of Pathology, Gustave Roussy, Villejuif, France.ORCID http://orcid.org/0000-0002-6641-8536
Thomas BachelotDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.ORCID http://orcid.org/0000-0002-0866-9484
Thomas FilleronDepartment of Biostatistics, Institut Claudius-Regaud, IUCT Oncopole, Toulouse, France.
Ludovic LacroixDepartment of Medical Biology and Pathology, Gustave Roussy, Villejuif, France.ORCID http://orcid.org/0000-0003-2535-1010
Alicia Tran-DienBioinformatics Platform, Gustave Roussy, Villejuif, France.
Pascal JézéquelOmics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Angers-Nantes, France.
Marjorie MauduitPrecision Medicine Group, UNICANCER, Paris, France.
Janice Barros MonteiroR&D Unicancer, Paris, France.
Marta JimenezPrecision Medicine Group, UNICANCER, Paris, France.ORCID http://orcid.org/0000-0002-4233-8478
Stefan MichielsService de Biostatistique et d'Épidémiologie, Gustave Roussy, Université Paris-Saclay, Villejuif, France.ORCID http://orcid.org/0000-0002-6963-2968
Valery AttignonCancer Genomic Platform, Centre Léon Bérard, Lyon, France.
Isabelle SoubeyranDepartment of Biopathology, Institut Bergonié, Bordeaux, France.
Keltouma DriouchDepartment of Genetics, Institut Curie, Paris University, Paris, France.
Nicolas ServantBioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France.
Christophe Le TourneauDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.ORCID http://orcid.org/0000-0001-9772-4686
Maud KamalDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris, France.ORCID http://orcid.org/0000-0003-1466-0950
Fabrice AndréDepartment of Medical Oncology, Gustave Roussy, Villejuif, France.ORCID http://orcid.org/0000-0001-5795-8357
Ivan BiècheDepartment of Genetics, Institut Curie, Paris University, Paris, France. ivan.bieche@curie.fr.

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-17-RHUS-0008
6 · The paper itself

Abstract

backgroundCopy number alterations (CNA) are acquired during the evolution of cancers from their early stage to metastatic stage. This study aims at analysing the clinical value of the identified metastasis-associated CNAs both in metastatic breast cancers (mBCs) and early breast cancers (eBCs).

methodsSingle-nucleotide polymorphism (SNP)-array was performed on 926 biopsies from mBC patients, enrolled in SAFIR02-BREAST prospective trial. CNA profiles of eBCs from The Cancer Genome Atlas Breast Invasive Carcinoma (n = 770), Molecular Taxonomy of Breast Cancer International Consortium (n = 1620) and PACS04 trial (n = 243) cohorts were used as references for comparing mBCs and eBCs CNA profiles. Overall survival was the considered survival endpoint.

resultsAmong the twenty-one genes frequently altered in ER + /HER2- mBCs: focal amplification of TERT was associated with poor outcome in the ER + /HER2- mBC population. Among the ER + /HER2- mBCs patients for whom CDK4/6 inhibitors information before biopsies collection was available: we identified seven genes on post-treatment biopsies, including the cyclin-dependent kinase 4 (CDK4), which was amplified in 9.8% of the ER + /HER2- mBCs pretreated population, as compared to 1.5% in the ER + /HER2- mBCs unpretreated population (P = 2.82E-04) as well as the 3 eBC populations. CDK4 amplification was associated with poor outcome in the ER + /HER2- eBCs.

conclusionsThis study provides insights into the biology of mBCs and identifies clinically useful genomic features for future improvement of breast cancer patient management.

Indexed as

Biomarkers, TumorBreast NeoplasmsCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6DNA Copy Number VariationsDrug Resistance, NeoplasmAdultAgedErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm MetastasisPolymorphism, Single NucleotidePrognosisProspective StudiesBiomarkers, TumorCDK4 protein, humanCDK6 protein, humanCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Erb-b2 Receptor Tyrosine KinasesProtein Kinase InhibitorsTelomeraseTERT protein, human

Identifiers

PMID39090361
PMCPMC11405515

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.