scholarly journals Neuropilin-1 expression is associated with lymph node metastasis in breast cancer tissues

2018 ◽  
Vol Volume 10 ◽  
pp. 1969-1974 ◽  
Author(s):  
Mahnaz Seifi-Alan ◽  
Roshanak Shams ◽  
Mojgan Bandehpour ◽  
Reza Mirfakhraie ◽  
Soudeh Ghafouri-Fard
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Node Metastasis ◽  
Neuropilin 1 ◽  
Cancer Tissues

scholarly journals The Association between ANXA2 mutations and Clinical Pathological Features in Patients with Breast Cancer

2021 ◽  
Author(s):  
Jiayou Liu ◽  
Shaoli Xie ◽  
Linglong Mo ◽  
Lulan Pu ◽  
Mingfei Xu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Molecular Subtype ◽  
Clinical Stage ◽  
Missense Mutations ◽  
Early Screening ◽  
Tissue Samples ◽  
Node Metastasis ◽  
Cancer Tissues

Abstract Background Genetic mutations have been reported in many tumors. In this study, we aimed to examine whether ANXA2 mutations occur in breast cancer and to investigate their association with clinicopathological characteristics in patients. Materials and Methods We collected breast cancer and adjacent normal tissue samples from 112 patients, extracted total RNA, and performed PCR-SSCP and bidirectional Sanger sequencing. ANXA2 mutations were identified by NCBI BLAST (blastn and blastx), and their correlation with clinical data were analyzed. Results ANXA2 mutations were detected in breast cancer tissues (missense mutations 38.39%) at a higher incidence than in adjacent normal tissues (missense mutations 8.04%) and mainly located in domain and repeats 1. Moreover, mutations in breast cancer tissues were associated with clinical stages, molecular subtype, ER, PR, and lymph-node metastasis of patients. Within a mean follow-up time of 52.5 months, the 5-year OS of patients with missense mutations was lower than those without. Among those mutations, c.(350AG > GA), c.(375G > A), c.(487T > A) and c.(693G > A) were associated with younger patients. c.(350AG > GA) was related to higher clinical stage and lymph-node metastasis. c.(375G > A) was linked to HER2(-) cases, while c.(693G > A) tended to be TNBC cases. Conclusion ANXA2 missense mutations mainly occurred on domain and repeats 1 in breast cancer, which may be associated with pathogenesis, clinical stage, molecular subtyping, lymph node metastasis and 5-year OS of breast cancer. These mutations may contribute to the early screening, diagnosis, and targeted treatment of breast cancer.

scholarly journals Correlation of breast cancer microcirculation construction with tumor stem cells (CSCs) and epithelial-mesenchymal transition (EMT) based on contrast-enhanced ultrasound (CEUS)

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261138
Author(s):  
Xiaoling Leng ◽  
Guofu Huang ◽  
Siyi Li ◽  
Miaomiao Yao ◽  
Jianbing Ding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Histological Grade ◽  
Node Metastasis ◽  
Contrast Enhanced ◽  
Epithelial Phenotype ◽  
Cancer Tissues ◽  
Er Expression ◽  
E Cadherin

Objective This study is to explore the correlation between the contrast-enhanced ultrasound (CEUS) characteristics of breast cancer and the epithelial-mesenchyme transformation (EMT). Methods Totally 119 patients of breast cancer underwent CEUS. Tissues in the active area were collected and subjected to the immunohistochemical detection, PT-PCR and Western blot. Correlation analysis was conducted between the clinical pathological parameters and the CEUS indicators. Results The expression levels of CD44, N-cadherin, and β-catenin in breast cancer tissues were higher than those in adjacent tissues (P<0.05). However, the expression levels of CD24 and E-cadherin in breast cancer tissues were lower than those in adjacent tissues (P<0.05). There was no significant difference in E-cadherin mRNA and Vimentin levels between cancer and adjacent tissues (P>0.05). The expressions were up-regulated in the CSCs, with higher histological grade, lymph node metastasis, and negative estrogen receptor (ER) expression. Smaller breast tumors, with no lymph node metastasis, lower clinical stage, and positive ER expression, tended to exhibit the up-regulated epithelial phenotype. Breast tumors, with high histological grade, lymph node metastasis, high clinical staging grade, and negative ER expression, tended to exhibit the up-regulated interstitial phenotype. The peak intensity of the time-intensity curve (TIC) for the CEUS was positively correlated with the CSC marker CD44 and the interstitial phenotype marker N-cadherin. The starting time of enhancement was negatively correlated with the N-cadherin. Area under the curve was positively correlated with the expression of CD44 and N-cadherin, while negatively correlated with the epithelial phenotype marker β-catenin. The time to peak was negatively correlated with the interstitial phenotypes Vimentin and N-cadherin, with no correlation with the E-cadherin or β-catenin. Conclusion Breast cancers show the enlarged lesions after enlargement and perfusion defect for the CEUS. The fast-in pattern, high enhancement, and high perfusion in the TIC are correlated with the CSCs and EMT expressions, suggesting poor disease prognosis.

Association of reduced XRCC2 expression with lymph node metastasis in breast cancer tissues

2014 ◽  
Vol 13 (4) ◽  
pp. 611-617 ◽  
Author(s):  
Nabiha Bashir ◽  
Syeda Sana ◽  
Ishrat Mahjabeen ◽  
Mahmood Akhtar Kayani
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Node Metastasis ◽  
Cancer Tissues

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.

Axillary schwannoma mimicking a breast cancer lymph node metastasis

2021 ◽  
Author(s):  
Hanae Ramdani ◽  
Siham El Haddad ◽  
Latifa Chat ◽  
Abdelilah Souadka ◽  
Nazik Allali
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Node Metastasis
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