PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 6, 2024Breast Cancer Research and Treatment1 citationsOpen Access

Clinical and molecular predictors of very late recurrence in oestrogen receptor-positive breast cancer patients

View Full Paper
JRJuliet RichmanESEugene F. SchusterRBRichard Buus

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract Background Risk of recurrence from primary ER+ breast cancer continues for at least 20 years. We aimed to identify clinical and molecular features associated with risk of recurrence after 10 years. Methods ER+ breast cancers from patients with and without recurrence were analysed with the BC360 NanoString Panel and an 87 gene targeted-exome panel. Frequency of clinical, pathologic and molecular characteristics was compared between cases (recurred between 10 and 20 years) and controls (no recurrence by 20 years) in the Very Late Recurrence (VLR) cohort. Analogous data from METABRIC were examined to confirm or refute findings. Results VLR cases had larger tumours and higher node positivity. Both VLR and METABRIC cases had higher clinical treatment score at 5 years (CTS5). There was a trend for fewer GATA3 mutations in cases in both VLR and METABRIC but no statistically significant differences in mutation frequency. Cell cycle and proliferation genes were strongly expressed in VLR cases. Immune-related genes and cell cycle inhibitors were highly expressed in controls. Neither of these changes were significant after correction for multiple testing. Conclusions Clinicopathologic features are prognostic beyond 10 years. Conversely, molecular features, such as copy number alterations, TP53 mutations and intrinsic subtype which have early prognostic significance, have little prognostic value after 10 years.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Richman et al. (2024) studied this question.

synapsesocial.com/papers/68e6b5f5b6db643587636fe9https://doi.org/10.1007/s10549-024-07311-z
Ask AI
Helpful
Bookmark
Share
View Full Paper