scholarly journals Increased B Regulatory Phenotype in Non-Metastatic Lymph Nodes of Node-Positive Breast Cancer Patients

2016 ◽  
Vol 83 (3) ◽  
pp. 195-202 ◽  
Author(s):  
F. Mehdipour ◽  
M. Razmkhah ◽  
A. Hosseini ◽  
M. Bagheri ◽  
A. Safaei ◽  
...  
2015 ◽  
Vol 30 (2) ◽  
pp. 174-183 ◽  
Author(s):  
Noriko Nemoto ◽  
Yukiko Shibahara ◽  
Hiroshi Tada ◽  
Keiko Uchida ◽  
Keely M. McNamara ◽  
...  

Background Neoadjuvant chemotherapy has been increasingly utilized in the treatment of breast cancer patients. However, there are no established surrogate markers predicting the response to subsequent adjuvant therapy and clinical outcome of patients. In particular, whether primary or lymph nodes metastasis should be evaluated for these analyses has remained unknown. Therefore, in this study, we first evaluated the differences in biomarkers between primary and metastatic cancer tissues in the patients undergoing neoadjuvant chemotherapy. We then correlated the findings with the clinical outcomes of these patients. Methods We examined 49 patients receiving neoadjuvant chemotherapy and subsequent surgery with lymph node metastasis. Estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2) and Ki-67 were all immunohistochemically evaluated in core needle biopsy samples from primary and metastatic tumors following chemotherapy. Results No statistically significant differences in these markers were detected between the primary tumor and metastatic lymph nodes following therapy, but the Ki-67 labeling index was significantly higher in metastatic lymph nodes than in primary tumor (p = 0.017). The patients associated with luminal A type carcinoma in their lymph nodes following chemotherapy demonstrated significantly better clinical outcomes (disease-free survival: p = 0.0045, overall survival: p = 0.0006) than those who were not. Conclusion These data indicate that subtype classification following chemotherapy, in the metastatic lymph nodes rather than primary tumor could predict long-term outcomes of patients undergoing neoadjuvant chemotherapy.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e11575-e11575
Author(s):  
Ludimila Cavalcante ◽  
Simon B. Zeichner ◽  
Gabriel P Suciu ◽  
Ana L. Ruiz ◽  
Alicia Hirzel ◽  
...  

e11575 Background: Axillary lymph node status is one of the most important prognostic factors in patients with breast cancer, and those with more than ten metastatic lymph nodes at diagnosis have a decreased overall survival. The purpose of this study is to better characterize the clinical course of this high-risk, poorly described patient population and determine the factors associated with long-term survival. Methods: A retrospective cohort analysis of all breast cancer patients with greater than ten metastatic lymph nodes diagnosed at Mt. Sinai Medical Center from January 1990 to December 2007 (n= 175). Descriptive frequencies, overall median survival (OMS), 5- and 10-year survival were calculated for standard prognostic factors and treatment variables. Univariate statistical analysis was performed, followed by a multivariate prognostic analysis for time-to-event data, using the Cox and extended Cox regression model. Results: The majority of patients were non-Hispanic white females between the ages of 56-70, diagnosed between 1990-1999, with tumors between 2-5 cm and 10-15 metastatic lymph nodes. Most were ER/PR positive, HER2 negative, and treated with surgery, chemotherapy, radiation and hormonal therapy. The OMS was 94 months (CI = 69-114) with 5- and 10-year survival rates of 64.3 and 41.6%, respectively. Ages between 21-45 years (OMS of 187 months, p = 0.03), tumors less than 2 cm (146 months (95% CI = 85-198), p = 0.02), ER positivity (131 months (95% CI = 94-157) vs. 39 months (95% CI = 27-59), p = 0.0003) and treatment received between 2000-2003 (98 months (95% CI = 55-133), p = 0.02) were all associated with significantly improved survival. Conclusions: Over the past decade there were significant gains in the long-term survival of breast cancer patients with greater than ten positive nodes at diagnosis, possibly due to improvements in multimodality therapy, such as the introduction of taxanes, although stage migration may be another contributing factor. Our study further showed an encouraging survival for ER positive patients and a dismal one for ER negative patients, highlighting the need for new targeted therapies directed towards ER negative tumors.


2021 ◽  
Author(s):  
Rutong Zeng ◽  
Xiang Zhang ◽  
Chushan Zheng ◽  
Jin‐Hong Du ◽  
Zixiong Gao ◽  
...  

Breast Care ◽  
2021 ◽  
pp. 1-7
Author(s):  
Lukas Dostalek ◽  
Andrej Cerny ◽  
Petra Saskova ◽  
David Pavlista

Introduction: Axillary dissection has little diagnostic and therapeutic benefit in node-positive breast cancer patients in whom axillary disease has been completely eradicated after neoadjuvant chemotherapy (ypN0). We sought to assess the efficacy of an algorithm used for the identification of the ypN0 patient consisting of intraoperative evaluation of sentinel and tattooed (initially positive) lymph nodes. Methods: Included were T1 and T2 breast cancer patients with 1–3 positive axillary lymph nodes marked with carbon who were referred for neoadjuvant chemotherapy followed by a surgery. Axillary dissection was performed only in the patients with residual axillary disease after neoadjuvant chemotherapy on ultrasound or with metastases described in the sentinel or tattooed lymph nodes either intraoperatively or in the final histology. Results: Out of 62 initially included node-positive patients, 15 (24%) were spared axillary dissection. The detection rate of tattooed lymph nodes after neoadjuvant chemotherapy was 81%. The ypN0 patients were identified with 91% sensitivity and 38% specificity using ultrasound and intraoperative assessment of both sentinel and tattooed lymph node according to the final histology. Discussion/Conclusion: Lymph node marking with carbon dye is a useful and cost-effective method, which can be successfully implemented in order to reduce the number of patients undergoing axillary dissection. Low specificity of the presented algorithm was caused mostly by the overestimation of residual axillary disease on ultrasound.


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