Caveolin-1 genotypes as predictor for locoregional recurrence and contralateral disease in breast cancer
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Published:2023-04-05
Issue:2
Volume:199
Page:335-347
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ISSN:0167-6806
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Container-title:Breast Cancer Research and Treatment
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language:en
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Short-container-title:Breast Cancer Res Treat
Author:
Godina Christopher, Tryggvadottir Helga, Bosch Ana, Borgquist Signe, Belting Mattias, Isaksson Karolin, Jernström HelenaORCID
Abstract
Abstract
Purpose
Caveolin-1 (CAV1) has been implicated in breast cancer oncogenesis and metastasis and may be a potential prognosticator, especially for non-distant events. CAV1 functions as a master regulator of membrane transport and cell signaling. Several CAV1 SNPs have been linked to multiple cancers, but the prognostic impact of CAV1 SNPs in breast cancer remains unclear. Here, we investigated CAV1 polymorphisms in relation to clinical outcomes in breast cancer.
Methods
A cohort of 1017 breast cancer patients (inclusion 2002–2012, Sweden) were genotyped using Oncoarray by Ilumina. Patients were followed for up to 15 years. Five out of six CAV1 SNPs (rs10256914, rs959173, rs3807989, rs3815412, and rs8713) passed quality control and were used for haplotype construction. CAV1 genotypes and haplotypes in relation to clinical outcomes were assessed with Cox regression and adjusted for potential confounders (age, tumor characteristics, and adjuvant treatments).
Results
Only one SNP was associated with lymph node status, no other SNPs or haplotypes were associated with tumor characteristics. The CAV1 rs3815412 CC genotype (5.8% of patients) was associated with increased risk of contralateral breast cancer, adjusted hazard ratio (HRadj) 4.26 (95% CI 1.86–9.73). Moreover, the TTACA haplotype (13% of patients) conferred an increased risk for locoregional recurrence HRadj 2.24 (95% CI 1.24–4.04). No other genotypes or haplotypes were associated with clinical outcome.
Conclusion
CAV1 polymorphisms were associated with increased risk for locoregional recurrence and contralateral breast cancer. These findings may identify patients that could derive benefit from more tailored treatment to prevent non-distant events, if confirmed.
Funder
Cancerfonden Medicinska Fakulteten, Lunds Universitet Region Skåne Skånes universitetssjukhus Fru Berta Kamprads Stiftelse Lund University
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology
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