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Prognosis of Breast Cancer in Women in Their 20s: Clinical and Radiological Insights
Inyoung Youn1, Eun Young Ko2, Jeong Eon Lee3
1Department of Radiology, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea.
Abstract:
Background/Objectives: We analyzed clinical and radiological characteristics and prognostic factors specific to young patients with breast cancer (YBC) aged <30 years. Methods: This retrospective study included 132 women aged <30 years who underwent breast surgery between 2008 and 2013. The clinical and radiological findings of the patients were examined and compared according to recurrence or death status at follow-up. Disease-free survival (DFS) and overall survival (OS) rates were also assessed. Results: Most patients (mean age, 27.1 years) presented with palpable lesions (85.6%). Hormone receptor-positive/human epidermal growth factor receptor-negative cancer was the most common molecular subtype (59.8%), followed by triple-negative breast cancer (28.0%), with high Ki-67 expression (62.1%). Mammography and ultrasound detected abnormalities in 90.1% and 97.3% of patients, respectively, whereas magnetic resonance imaging detected abnormalities in all patients. During the follow-up period (8-10 years), 28.5% of the patients experienced recurrence and 11.5% died. The calculated DFS and OS at 5 years were 80.8% and 69.8% and 91.3% and 87.8% at 10 years, respectively. Statistically significant factors associated with DFS/OS included the BRCA1 gene mutation, with preoperative neoadjuvant chemotherapy, no hormone therapy, larger tumor size, negative hormone receptor status, high Ki-67 expression, and some radiological findings, including asymmetry with calcifications on mammography, no sonographic echogenic rind of mass, and mild vascularity on Doppler study. Conclusions: Our study highlights the aggressive nature of breast cancer in YBC aged <30 years, with relatively high rates of recurrence and mortality. Significant factors affecting prognosis may guide personalized treatment approaches and predict the prognosis.
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