Breast cancer recurrence in relation to mode of detection: Implications on personalized surveillance

Author:

Sartor Hanna1,Hagberg Oskar1,Hemmingsson Oskar2,Lång Kristina1,Wadsten Charlotta2

Affiliation:

1. Department of Translational Medicine, Diagnostic Radiology, Lund University, Lund, Sweden

2. Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden

Abstract

Abstract

Purpose The effectiveness of current follow-up guidelines after breast cancer treatment is uncertain. Tailored surveillance based on patient age and tumor characteristics may be more adequate. This study aimed to analyze the frequency and risk factors for detecting ipsilateral locoregional recurrences (LR) and second primary breast cancers (SP) outside of scheduled surveillance in patients with recurrent breast cancer. Methods Patients with surgically treated early-stage breast cancer from the Malmö Diet and Cancer Study (MDCS), 1991–2014 (n = 1080), and the Västernorrland region, 2009–2018 (n = 1648), were included. Clinical and pathological information on the primary tumor and recurrences was retrieved from medical records. The mode of recurrence detection was defined as detection within (planned) or outside (symptomatic) of scheduled surveillance. Results The median follow-up was 6.5 years. Overall, 461 patients experienced a recurrence. The most common initial event was distant metastasis (47%), followed by locoregional recurrence (LR) (22%) and second primary (SP) (18%). Fifty-six percent of LR and 28% of SP were identified outside of scheduled surveillance. Logistic regression analysis revealed that younger age (under 50 years) (OR 2.57, 95% CI 1.04–6.88), lymph node-positive breast cancer (OR 2.20, 95% CI 1.03–4.87) and breast cancer of the HER2 positive subtype (OR 5.24, 95% CI 1.40–25.90) were correlated with higher odds of detecting a recurrence outside of planned surveillance. Conclusion Most recurrent events were detected outside of scheduled surveillance, particularly for locoregional recurrences. Risk-based surveillance, which takes into account patient and tumor characteristics, might be more suitable for specific patient subsets.

Publisher

Springer Science and Business Media LLC

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