Breast cancers with high proliferation and low ER-related signalling have poor prognosis and unique molecular features with implications for therapy.


Journal

British journal of cancer
ISSN: 1532-1827
Titre abrégé: Br J Cancer
Pays: England
ID NLM: 0370635

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 20 07 2023
accepted: 18 10 2023
revised: 10 10 2023
pubmed: 8 11 2023
medline: 8 11 2023
entrez: 7 11 2023
Statut: ppublish

Résumé

Luminal breast cancers with high proliferation (MKS Gene expression data from patients who received neoadjuvant chemotherapy (NAC) without (MDACC, N = 199) or with pembrolizumab (I-SPY2, N = 40), or endocrine therapy (NET) without (POETIC, N = 172) or with palbociclib (NeoPalAna, N = 32) were analyzed to assess treatment response by MKS/ERS-subgroups. TCGA was used to assess the mutational landscape and biomarkers associated with palbociclib-resistance (Cyclin-E, RBsig, IRPR) and immunotherapy-response (TMB, TILs, T-cell inflamed) by MKS/ERS-subgroups. Compared to MKS MKS

Sections du résumé

BACKGROUND BACKGROUND
Luminal breast cancers with high proliferation (MKS
METHODS METHODS
Gene expression data from patients who received neoadjuvant chemotherapy (NAC) without (MDACC, N = 199) or with pembrolizumab (I-SPY2, N = 40), or endocrine therapy (NET) without (POETIC, N = 172) or with palbociclib (NeoPalAna, N = 32) were analyzed to assess treatment response by MKS/ERS-subgroups. TCGA was used to assess the mutational landscape and biomarkers associated with palbociclib-resistance (Cyclin-E, RBsig, IRPR) and immunotherapy-response (TMB, TILs, T-cell inflamed) by MKS/ERS-subgroups.
RESULTS RESULTS
Compared to MKS
CONCLUSIONS CONCLUSIONS
MKS

Identifiants

pubmed: 37935787
doi: 10.1038/s41416-023-02477-7
pii: 10.1038/s41416-023-02477-7
pmc: PMC10703787
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2025-2033

Subventions

Organisme : Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research)
ID : IG2018 - ID21787

Informations de copyright

© 2023. The Author(s).

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Auteurs

Luca Licata (L)

Department of Medical Oncology, San Raffaele Hospital, Milan, Italy.
School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.

Marco Barreca (M)

University of Milano-Bicocca, Milan, Italy.

Barbara Galbardi (B)

Department of Medical Oncology, San Raffaele Hospital, Milan, Italy.
School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.

Matteo Dugo (M)

Department of Medical Oncology, San Raffaele Hospital, Milan, Italy.
School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.

Giulia Viale (G)

Department of Medical Oncology, San Raffaele Hospital, Milan, Italy.
School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.

Balàzs Győrffy (B)

Department of Bioinformatics, Semmelweis University, Budapest, Hungary.
Cancer Biomarker Research Group, Research Centre for Natural Sciences, Budapest, Hungary.

Thomas Karn (T)

Goethe University Hospital Frankfurt, Frankfurt, Germany.

Lajos Pusztai (L)

Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.

Luca Gianni (L)

Michelangelo Foundation, Milan, Italy.

Maurizio Callari (M)

Michelangelo Foundation, Milan, Italy. maurizio.callari@fondazionemichelangelo.org.

Giampaolo Bianchini (G)

Department of Medical Oncology, San Raffaele Hospital, Milan, Italy. bianchini.giampaolo@hsr.it.
School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy. bianchini.giampaolo@hsr.it.

Classifications MeSH