Introduction: Locally advanced breast cancer (LABC) is a major problem, especially in developing countries. The standard treatment for LABC is neoadjuvant chemotherapy, with or without anti-Her2 therapy, followed by surgery, radiotherapy, and adjuvant systemic treatment if appropriate. However, there are few data in the literature addressing alternatives when neoadjuvant chemotherapy fails to reduce the tumour for surgery.

Materials And Methods: We conducted a retrospective study including all patients who had non-metastatic LABC treated with neoadjuvant chemotherapy and who were not eligible for surgical resection; these patients were submitted to salvage radiotherapy (RTX) between January 2000 and December 2012 at the Brazilian National Cancer Institute.

Results: Fifty-seven patients were included, with a median age of 51 (23-72) years. The most frequent clinical stages were IIIA and IIIB, corresponding to 19.3% and 70.2%, respectively; mean tumour size was 8.74 (3-18) cm, and 44 patients (77.2%) had nodal involvement. Chemotherapeutic regimens containing anthracyclines were prescribed to 98.2% of the patients. Fifteen patients (26.3%) received taxanes and anthracyclines. Radiation dose was 50 Gy divided into 25 fractions; 43 patients (75.4%) had their tumours downsized by RTX and underwent mastectomy. Overall survival (OS) was 38 (23-52) months. Patients who were submitted to surgery had an OS of 49 (28-70) months and those who were not eligible for mastectomy after radiotherapy had an OS of 18 (9-27) months.

Conclusion: This retrospective study confirms that RTX is an effective treatment to downsize LABC tumours with low or no response to chemotherapy, thereby enabling surgical resection which may improve overall patient outcome.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.breast.2016.10.026DOI Listing

Publication Analysis

Top Keywords

neoadjuvant chemotherapy
12
salvage radiotherapy
8
locally advanced
8
advanced breast
8
breast cancer
8
retrospective study
8
patients
8
surgical resection
8
patients submitted
8
role salvage
4

Similar Publications

Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.

Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.

View Article and Find Full Text PDF

Background: Adding pembrolizumab, an anti-PD-1 antibody approved for treatment of head and neck squamous cell carcinoma (HNSCC) to neoadjuvant (induction-) chemotherapy utilizing docetaxel and cisplatin (TP) followed by radiotherapy may improve outcome in larynx organ-preservation (LOP) that is investigated in the European Larynx-Organ preservation Study (ELOS). As biomarkers for response to TP and pembrolizumab +TP are missing but may include cytokines, this work aims on determining cytokines potentially linked to outcome as prognostic markers sufficient to predict and/or monitor response to successful LOP.

Methods: Collagenase IV digests were generated from 47 histopathological confirmed HNSCC tumor samples and seeded in 96-well plates containing pembrolizumab, docetaxel, cisplatin either solely or in binary or ternary combination.

View Article and Find Full Text PDF

Background: The COVID-19 pandemic affected healthcare systems worldwide, disrupting elective surgeries including those for cancer treatment. This study examines the effects of the pandemic on outcomes of pancreatic cancer surgeries at a specialized high-volume surgery center.

Materials And Methods: This study compared surgical volume and outcomes of pancreas resections between the pre-pandemic (January 2019 to February 2020), early pandemic (March 2020 to January 2021), and late pandemic (February 2021 to December 2021) periods.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!