Prognostic and predictive impact of stroma cells defined by PDGFRb expression in early breast cancer: results from the randomized SweBCG91RT trial.


Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
May 2021
Historique:
received: 06 11 2020
accepted: 05 02 2021
pubmed: 5 3 2021
medline: 24 6 2021
entrez: 4 3 2021
Statut: ppublish

Résumé

Predictive biomarkers are needed to aid the individualization of radiotherapy (RT) in breast cancer. Cancer-associated fibroblasts have been implicated in tumor radioresistance and can be identified by platelet-derived growth factor receptor-beta (PDGFRb). This study aims to analyze how PDGFRb expression affects RT benefit in a large randomized RT trial. PDGFRb was assessed by immunohistochemistry on tissue microarrays from 989 tumors of the SweBCG91RT trial, which enrolled lymph node-negative, stage I/IIA breast cancer patients randomized to RT after breast-conserving surgery. Outcomes were analyzed at 10 years for ipsilateral breast tumor recurrence (IBTR) and any recurrence and 15 years for breast cancer specific death (BCSD). PDGFRb expression correlated with estrogen receptor negativity and younger age. An increased risk for any recurrence was noted in univariable analysis for the medium (HR 1.58, CI 95% 1.11-2.23, p = 0.011) or PDGFRb high group (1.49, 1.06-2.10, p = 0.021) compared to the low group. No differences in IBTR or BCSD risk were detected. RT benefit regarding IBTR risk was significant in the PDGFRb low (0.29, 0.12-0.67, p = 0.004) and medium (0.31, 0.16-0.59, p < 0.001) groups but not the PDGFRb high group (0.64, 0.36-1.11, p = 0.110) in multivariable analysis. Likewise, risk reduction for any recurrence was less pronounced in the PDGFRb high group. No significant interaction between RT and PDGFRb-score could be detected. A higher PDGFRb-score conferred an increased risk of any recurrence, which partly can be explained by its association with estrogen receptor negativity and young age. Reduced RT benefit was noted among patients with high PDGFRb, however without significant interaction.

Identifiants

pubmed: 33661437
doi: 10.1007/s10549-021-06136-4
pii: 10.1007/s10549-021-06136-4
pmc: PMC8062362
doi:

Substances chimiques

PDGFRB protein, human EC 2.7.10.1
Receptor, Platelet-Derived Growth Factor beta EC 2.7.10.1

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

45-55

Subventions

Organisme : Cancerfonden
ID : Can-2019/0081
Organisme : Radiumhemmets Forskningsfonder
ID : 174292
Organisme : Radiumhemmets Forskningsfonder
ID : 2019:248

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Auteurs

Carina Strell (C)

Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.

Axel Stenmark Tullberg (A)

Department of Oncology, Sahlgrenska University Hospital, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Reidunn Jetne Edelmann (R)

Department of Clinical Medicine, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.

Lars Andreas Akslen (LA)

Department of Clinical Medicine, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.

Per Malmström (P)

Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
Department of Haematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.

Mårten Fernö (M)

Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.

Erik Holmberg (E)

Department of Oncology, Sahlgrenska University Hospital, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Arne Östman (A)

Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.

Per Karlsson (P)

Department of Oncology, Sahlgrenska University Hospital, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. per.karlsson@oncology.gu.se.

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Classifications MeSH