scholarly journals Differential Prognostic Indicators for Locoregional Recurrence, Distant Recurrence, and Death of Breast Cancer

ISRN Oncology ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Rungnapa Chairat ◽  
Adisorn Puttisri ◽  
Asani Pamarapa ◽  
Jirause Moollaor ◽  
Chamaiporn Tawichasri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Hormonal Therapy ◽  
Locoregional Recurrence ◽  
Multivariable Analysis ◽  
Distant Recurrence ◽  
Disease Stage ◽  
Prognostic Indicators ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph

Objective. To explore prognostic characteristics for locoregional recurrence, distant recurrence, and mortality in patients with breast cancer. Methods. A 5-year retrospective review of patients was conducted in two university affiliated hospitals in the north of Thailand. Prognostic characteristics and clinical outcomes were retrieved from medical registry. Death was verified by the civil database from the Ministry of Interior, direct telephone contact, or by prepaid postcard. Data were analyzed by stratified Cox’s regression proposed by Lunn & McNeil, in which multiple-typed outcomes were analyzed in a single multivariable model. Results. The assembled cohort comprised 829 patients. Under the multivariable analysis, 7 prognostic characteristics were significant prognostic indicators. Positive axillary lymph nodes >3 and presence of lymphovascular invasion (LVI) increased locoregional recurrence, while disease stage 3, positive axillary lymph nodes >3, and radiotherapy increase distant recurrence. Hormonal therapy reduced the distant recurrence. Pathological tumor size >2 cm, disease stage 3, positive axillary lymph nodes >3, and presence of LVI increased, while hormonal therapy and chemotherapy reduced death. Conclusions. Clinical characteristic reflecting tumor invasions increased locoregional recurrence, distant recurrence, or death, while hormonal therapy and chemotherapy reduced such risks. The effect of radiation remained inconclusive but may increase the risk of distant recurrence.

scholarly journals Histopathological analysis and surgical treatment of breast cancer - our experience

2016 ◽  
Vol 69 (1-2) ◽  
pp. 59-64
Author(s):  
Dzemail Detanac ◽  
Dzenana Detanac ◽  
Avdo Ceranic ◽  
Merima Ceranic
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
General Hospital ◽  
Tumor Size ◽  
Significant Positive Correlation ◽  
Disease Stage ◽  
Axillary Lymph Nodes ◽  
Histopathological Analysis ◽  
Axillary Lymph ◽  
Positive Correlation

Introduction. The aim of this study was to show the descriptive and histopathological analysis and applied surgical technique with early and late postoperative complications in patients with breast cancer who were hospitalized and treated at the General Hospital in Novi Pazar during the period 2009-2011. Material and Methods. During the period from 2009 to 2011, 59 patients were operated for breast cancer at the General Hospital in Novi Pazar. The study included the size and type of the tumor, disease stage, surgical techniques and complications, the age of the patients at the moment of surgery and its correlation with the number of metastatic lymph nodes in the axilla and the tumor size, as well as the correlation of the tumor size with the number of metastases in the axillary lymph nodes. Results. The difference in the tumor size in relation to the age among the women under 50 and over 50 years of age was not statistically significant (T = -1.203, p>0.05). There was no statistically significant difference between the number of positive lymph nodes in the women under and over 50 years of age (Mann-Whitney U test, p>0.05). A significant positive correlation between the tumor size and the number of positive axillary lymph nodes was found (r= 0.308, p<0.05). A significant positive correlation of the patient?s age and breast cancer stage was also confirmed with nonparametric variance analysis by Spearman?s Rho (r= 0.337, p<0.05). Conclusion. The majority of women from this study sample were with Stage II of breast cancer, which points out the necessity for better prevention and education of women in order to improve early diagnosis of breast cancer. The number of positive axillary lymph nodes appears to be an important prognostic factor and a significant positive correlation between the tumor size and the number of positive axillary lymph nodes has been found.

scholarly journals Intra-mammary lymph nodes, an overlooked breast cancer prognostic tool?

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Tarek Hashem ◽  
Ahmed Abdelmoez ◽  
Ahmed Mohamed Rozeka ◽  
Hazem Abdelazeem
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Ductal Carcinoma ◽  
Percutaneous Biopsy ◽  
Preoperative Imaging ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Pathological Features ◽  
Breast Cancer Patients ◽  
Surgical Data

Abstract Background Due to the high variability of incidence and prevalence of intra-mammary lymph nodes (IMLNs), they might be overlooked during clinical and radiological examinations. Properly characterizing pathological IMLNs and detecting the factors that might influence their prevalence in different stages of breast cancer might aid in proper therapeutic decision-making and could be of possible prognostic value. Methods Medical records were reviewed for all breast cancer patients treated at the National Cancer Institute of Cairo University between 2013 and 2019. Radiological, pathological, and surgical data were studied. Results Intra-mammary lymph nodes were described in the final pathology reports of 100 patients. Five cases had benign breast lesion. Three cases had phyllodes tumors and two cases had ductal carcinoma in situ (DCIS). All ten cases were excluded. The remaining 90 cases all had invasive breast cancer and were divided into two groups: one group for patients with malignant IMLNs (48) and another for patients with benign IMLNs (42). Pathological features of the malignant IMLN group included larger mean tumor size in pathology (4.7 cm), larger mean size of the IMLN in pathology (1.7 cm), higher incidence of lympho-vascular invasion (65.9%), and higher rate of extracapsular extension in axillary lymph nodes (57.4%). In addition, the pathological N stage was significantly higher in the malignant IMLN group. Conclusion Clinicians frequently overlook intra-mammary lymph nodes. More effort should be performed to detect them during preoperative imaging and during pathological processing of specimens. A suspicious IMLN should undergo a percutaneous biopsy. Malignant IMLNs are associated with advanced pathological features and should be removed during surgery.

scholarly journals Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Axillary Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Mr Images ◽  
Node Metastasis

Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2W) dedicated axillary MRI features with node-by-node analysis. From August 2012 until October 2014, all women who had undergone dedicated axillary 3.0T T2W MRI, followed by axillary surgery, were retrospectively identified, and available clinical data were collected. All axillary lymph nodes were manually delineated on the T2W MR images, and quantitative radiomics features were extracted from the delineated regions. Data were partitioned patient-wise to train 100 models using different splits for the training and validation cohorts to account for multiple lymph nodes per patient and class imbalance. Features were selected in the training cohorts using recursive feature elimination with repeated 5-fold cross-validation, followed by the development of random forest models. The performance of the models was assessed using the area under the curve (AUC). A total of 75 women (median age, 61 years; interquartile range, 51–68 years) with 511 axillary lymph nodes were included. On final pathology, 36 (7%) of the lymph nodes had metastasis. A total of 105 original radiomics features were extracted from the T2W MR images. Each cohort split resulted in a different number of lymph nodes in the training cohorts and a different set of selected features. Performance of the 100 clinical and radiomics models showed a wide range of AUC values between 0.41–0.74 and 0.48–0.89 in the training cohorts, respectively, and between 0.30–0.98 and 0.37–0.99 in the validation cohorts, respectively. With these results, it was not possible to obtain a final prediction model. Clinical characteristics and dedicated axillary MRI-based radiomics with node-by-node analysis did not contribute to the prediction of axillary lymph node metastasis in breast cancer based on data where variations in acquisition and reconstruction parameters were not addressed.

scholarly journals Systemic immune reaction in axillary lymph nodes adds to tumor-infiltrating lymphocytes in triple-negative breast cancer prognostication

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Fangfang Liu ◽  
Thomas Hardiman ◽  
Kailiang Wu ◽  
Jelmar Quist ◽  
Patrycja Gazinska ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Immune Responses ◽  
Lymph Nodes ◽  
Triple Negative ◽  
Tumor Infiltrating Lymphocytes ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Her2 Positive ◽  
Local Immunity ◽  
Infiltrating Lymphocytes

AbstractThe level of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative (TNBC) and HER2-positive breast cancers convey prognostic information. The importance of systemic immunity to local immunity is unknown in breast cancer. We previously demonstrated that histological alterations in axillary lymph nodes (LNs) carry clinical relevance. Here, we capture local immune responses by scoring TILs at the primary tumor and systemic immune responses by recording the formation of secondary follicles, also known as germinal centers, in 2,857 cancer-free and involved axillary LNs on haematoxylin and eosin (H&E) stained sections from a retrospective cohort of 161 LN-positive triple-negative and HER2-positive breast cancer patients. Our data demonstrate that the number of germinal center formations across all cancer-free LNs, similar to high levels of TILs, is associated with a good prognosis in low TILs TNBC. This highlights the importance of assessing both primary and LN immune responses for prognostication and for future breast cancer research.

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