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Molecular Prognostic Factors for Distant Metastases in Premenopausal Patients with HR+/HER2- Early Breast Cancer

Authors :
Tanja K. Eggersmann
Sabine Sagebiel
Alina Seiler
Rachel Würstlein
Doris Mayr
Hua Ni
Tom Degenhardt
Nadia Harbeck
Ronald E. Kates
Jörg Kumbrink
Friederike Hagemann
Source :
Journal of Personalized Medicine, Volume 11, Issue 9, Journal of Personalized Medicine, Vol 11, Iss 835, p 835 (2021)
Publication Year :
2021

Abstract

Molecular factors that drive metastasis in premenopausal patients with hormone receptor positive (HR+), human epidermal growth factor receptor 2 negative (HER2−), early breast cancer (EBC) are largely unknown. To identify markers/signatures contributing to metastasis, we analyzed molecular changes in tumors from premenopausal patients who developed metastasis (M1) and who did not (M0). Ninety-seven premenopausal patients with HR+/HER2− EBC were included (M1, n = 48, median distant metastasis-free survival (DMFS): 54 (7–184) months<br />M0, n = 49, median follow-up: 149 (121–191) months). Gene expression profiling on tumor RNA (Breast Cancer 360TM panel, Nanostring) was performed, followed by comprehensive bioinformatic and statistical analyses. Significantly enhanced ROR (risk of recurrence) scores and reduced signature scores of PGR (progesterone receptor), claudin-low, and mammary stemness were determined in M1. These differences were significantly associated with shorter DMFS in univariate survival analyses. Gene set enrichment analysis showed an enriched mTORC1 pathway in M1. Moreover, a metastasis signature of 19 differentially expressed genes (DEGs) that were DMFS-related was defined. Multivariate analysis including the four signatures, 19 DEGs, pN, and pT status, identified LRP2, IBSP, and SCUBE2 as independent prognostic factors. We identified prognostic gene signatures and single-gene markers for distant metastasis in premenopausal HR+/HER2− EBC potentially applicable in future clinical practice.

Details

ISSN :
20754426
Volume :
11
Issue :
9
Database :
OpenAIRE
Journal :
Journal of personalized medicine
Accession number :
edsair.doi.dedup.....a0ce45ff8c5c7106459523b707e7f0ca