METHODS: We studied 522 patients who underwent mastectomy between 1998 and 2002 and followed them up until 2008. We defined PMLRR as recurrence to the axilla, supraclavicular nodes and or chest wall. ILR was defined as PMLRR occurring as an isolated event. Prognostic factors for locoregional recurrence were determined using the Cox proportional hazards regression model.
RESULTS: The overall PMLRR rate was 16.4%. ILR developed in 42 of 522 patients (8.0%). Within this subgroup, 25 (59.5%) remained disease free after treatment while 17 (40.5%) suffered disease progression. Univariate analyses identified race, age, size, stage, margin involvement, lymph node involvement, grade, lymphovascular invasion and ER status as probable prognostic factors for ILR. Cox regression resulted in only stage III disease and margin involvement as independent prognostic factors. The hazard of ILR was 2.5 times higher when the margins were involved compared to when they were clear (aHRR 2.5; 95% CI 1.3 to 5.0). Similarly, compared with stage I those with Stage II (aHRR 2.1; 95%CI 0.6 to 6.8) and stage III (aHRR 4.6; 95%CI 1.4 to 15.9) had worse prognosis for ILR.
CONCLUSION: Margin involvement and stage III disease were identified to be independent prognostic factors for ILR. Close follow-up of high risk patients and prompt treatment of locoregional recurrence were recommended.
METHOD: A total of 2937 newly diagnosed patients with stage I and stage II breast cancer in University Malaya Medical Centre between Jan 1993 to Dec 2012 were included in the study. Multinomial logistic regression analysis allowing death to compete with CBC as a study outcome was used; patients with unilateral breast cancer who were alive were taken as reference. A stepwise backward regression analysis including age at diagnosis, ethnicity, family history of breast cancer, TNM stage, hormonal receptor status, HER2 status, chemotherapy, radiotherapy, and hormone therapy was conducted.
RESULTS: Fifty women developed CBC, over a median follow-up of 6 years. The 5- and 10-year cumulative risk of contralateral breast cancer was 1.0% (95% CI 0.6-1.4%) and 2.8% (95% CI 2.0-3.6%), respectively. Young age at diagnosis of first cancer, positive family history, and stage I disease were independent predictors of CBC.
DISCUSSION: The current study suggests that the risk of CBC is very low in a Southeast Asian setting. Any recommendations or practice of CRRM should be reviewed with caution and patients must be counseled appropriately.
METHODOLOGY: This is a multi-centre, cross-sectional study involving the University of Malaya Medical Centre (UMMC), Queen Elizabeth II Hospital (QEH), and Tengku Ampuan Rahimah Hospital (TARH). Patients diagnosed with invasive breast cancer from January 2014 to December 2015 were included, excluding stromal cancers and lymphomas. Univariate and multivariate analyses identified factors influencing BCS.
RESULTS: A total of 1005 patients were diagnosed with breast cancer in the allocated time frame. Excluding incomplete records and those who did not have surgery, 730 patients were analysed. Overall BCS rate was 32.9%. The BCS rate was highest at QEH (54.1%), followed by UMMC (29.5%), and TARH (17.4%). 16.9% had BCS after neoadjuvant therapy. Factors influencing BCS uptake included age, ethnic group, breast-surgeon led services, AJCC Stage, tumour size, HER-2 expression, and tumour grade.
CONCLUSIONS: The rate of BCS in Malaysia is low. A wide variation of rate exists among the studied hospitals. Younger age, earlier AJCC stage, and the presence of a Breast sub-specialist surgeon, would make it more likely that the patient has her breast conserved.
MATERIALS AND METHODS: This cross-sectional study involved 168 women diagnosed with breast cancer. The inclusion criteria were age >18 years old, having histologically confirmed breast cancer, and being diagnosed between January 1, 2009 to December 31, 2012. The exclusion criteria were being illiterate and having cognitive impairment. For data collection patients' medical records and the Cancer Behaviour Inventory-Brief (CBI-B) Malay version questionnaire were used. Simple and multiple logistic regression methods were used to analyse the data.
RESULTS: Patients' mean (SD) age was 51.4 (10.8) years old. Most of the patients were Malays, married, diagnosed at stage 2 breast cancer (41%), and completed their breast cancer treatment. The mean score for self-efficacy for coping with breast cancer was 83.67 (95% CI: 81.87, 85.47). The significant factors positively correlated with self-efficacy for coping with breast cancer were higher educational background and a higher family income. However, factors such as a family history of breast cancer and breast surgery reduced the mean score of self-efficacy for coping with breast cancer.
CONCLUSION: The mean score of self-efficacy for coping with breast cancer in this study was moderate. Self-efficacy for coping with breast cancer in Hospital Universiti Sains Malaysia was not adequate among sufferers and improvement is needed probably by providing education to these patients.