Prognostic and Predictive Value of

LIV1 SLC39A6 ZIP6 antibody–drug conjugates breast cancer expression survival zinc transporter protein

Journal

Pharmaceutics
ISSN: 1999-4923
Titre abrégé: Pharmaceutics
Pays: Switzerland
ID NLM: 101534003

Informations de publication

Date de publication:
14 Mar 2023
Historique:
received: 10 02 2023
revised: 09 03 2023
accepted: 10 03 2023
medline: 30 3 2023
entrez: 29 3 2023
pubmed: 30 3 2023
Statut: epublish

Résumé

LIV1 is a transmembrane protein that may become a new therapeutic target through the development of antibody-drug conjugates (ADCs). Few studies are available regarding the assessment of We analyzed LIV1 expression was associated with good-prognosis features and with longer DFS and OS in multivariate analysis. However, patients with high These results may provide novel insights into the clinical development and use of LIV1-targeted ADCs by identifying prognostic and predictive value of

Sections du résumé

BACKGROUND BACKGROUND
LIV1 is a transmembrane protein that may become a new therapeutic target through the development of antibody-drug conjugates (ADCs). Few studies are available regarding the assessment of
METHODS METHODS
We analyzed
RESULTS RESULTS
LIV1 expression was associated with good-prognosis features and with longer DFS and OS in multivariate analysis. However, patients with high
CONCLUSIONS CONCLUSIONS
These results may provide novel insights into the clinical development and use of LIV1-targeted ADCs by identifying prognostic and predictive value of

Identifiants

pubmed: 36986799
pii: pharmaceutics15030938
doi: 10.3390/pharmaceutics15030938
pmc: PMC10058875
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Ligue Nationale Contre le Cancer
ID : EL2022/FB
Organisme : Association Ruban Rose
ID : Prix Ruban Rose 2020, FB

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Auteurs

Alexandre de Nonneville (A)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.
Département d'Oncologie Médicale, Institut Paoli-Calmettes, 13009 Marseille, France.

Pascal Finetti (P)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.

Laurys Boudin (L)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.

Emilie Denicolaï (E)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.

Daniel Birnbaum (D)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.

Emilie Mamessier (E)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.

François Bertucci (F)

Equipe labellisée « Ligue Nationale Contre le Cancer », Equipe 'Predictive Oncology', Centre de Recherche en Cancérologie de Marseille, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France.
Département d'Oncologie Médicale, Institut Paoli-Calmettes, 13009 Marseille, France.

Classifications MeSH