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.
METHODS: This retrospective study of Stage III breast cancer patients was conducted over a 5 year period from 1998 to 2002. The survival data were obtained from the National Registry of Births and Deaths with the end-point of the study in April 2006. The Kaplan Meier method was applied for survival analysis. Cox regression analysis by stepwise selection was performed to identify important prognostic factors.
RESULTS: Out of a 155 evaluable patients, 74 (47.7%) had primary surgery, 62 (40%) had neoadjuvant chemotherapy, 10 patients (6.5%) were given Tamoxifen as the primary treatment, while 9 patients (5.8%) defaulted any form of treatment. After neoadjuvant chemotherapy, 9 patients defaulted further treatment, leaving 53 evaluable patients. Out of these 53 evaluable patients, 5 patients (9.4%) had complete pathological response, 5 (9.4%) a complete clinical response, and 26 (49.1%) had partial response after neoadjuvant chemotherapy. The 5-year survival in the primary surgery group was 56.7 % compared to 44.7% in the neoadjuvant chemotherapy group (p<0.01). The important prognostic factors were race, size of tumour, nodal status, estrogen receptor status and response to neoadjuvant chemotherapy.
CONCLUSION: Patients who had primary surgery had better survival than those who underwent neoadjuvant chemotherapy, which may be due to bias in the selection of patients for neoadjuvant chemotherapy. Out of a total of 155 patients, 25.1% defaulted part of the treatment, or did not receive optimal treatment, emphasizing the importance of psychosocial support and counselling for this group of patients.
MATERIALS AND METHODS: A total of 450 women newly diagnosed with Stage 1 to 3 invasive breast cancer in a single centre from July 2013 to Dec 2014 were included in this study. Univariable and multivariable logistic regression was used to determine the association between Ki-67 (positive defined as 14% and above) and age, ethnicity, grade, mitotic index, ER, PR, HER2, lymph node status and size. All analyses were performed using SPSS Version 22.
RESULTS: In univariable analysis, Ki -67 index was associated with younger age, higher grade, ER and PR negativity, HER2 positivity, high mitotic index and positive lymph nodes. However on multivariable analysis only tumour size, grade, PR and HER2 remained significant. Out of 102 stage 1 patients who had ER positive/PR positive/HER2 negative tumours and non-grade 3, only 5 (4.9%) had a positive Ki-67 index and may have been offered chemotherapy. However, it is interesting to note that none of these patients received chemotherapy.
CONCLUSIONS: Information on Ki67 would have potentially changed management in an insignificant proportion of patients with stage 1 breast cancer.
METHODS: All 5616 patients, diagnosed with breast cancer in University Malaya Medical Centre from 1999 to 2013 were included. In 945 elderly patients (aged 65 years and above), multivariable logistic regression was performed to identify factors associated with treatment, following adjustment for age, ethnicity, tumor, and other treatment characteristics. The impact of lack of treatment on survival of the elderly was assessed while accounting for comorbidities.
RESULTS: One in five elderly patients had comorbidities. Compared to younger patients, the elderly had more favorable tumor characteristics, and received less loco-regional treatment and chemotherapy. Within stage I-IIIa elderly breast cancer patients, 10 % did not receive any surgery. These patients were older, more likely to be Malays, have comorbidities, and bigger tumors. In elderlies with indications for adjuvant radiotherapy, no irradiation (30 %) was associated with increasing age, comorbidity, and the absence of systemic therapy. Hormone therapy was optimal, but only 35 % of elderly women with ER negative tumors received chemotherapy. Compared to elderly women who received adequate treatment, those not receiving surgery (adjusted hazard ratio: 2.30, 95 %CI: 1.10-4.79), or radiotherapy (adjusted hazard ratio: 1.56, 95 %CI: 1.10-2.19), were associated with higher mortality. Less than 25 % of the survival discrepancy between elderly women receiving loco-regional treatment and no treatment were attributed to excess comorbidities in untreated patients.
CONCLUSION: While the presence of comorbidities significantly influenced loco-regional treatment decisions in the elderly, it was only able to explain the lower survival rates in untreated patients up to a certain extent, suggesting missed opportunities for treatment.
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.