scholarly journals Co-existent breast malignancy and contralateral primary axillary tuberculosis

2022 ◽  
Author(s):  
Sam Dluzewski ◽  
Adam Brown ◽  
Besma Musaddaq ◽  
Rosalyn KF Hogben ◽  
Anmol Malhotra

Breast tuberculosis is an extremely rare entity representing less than 0.1% of all breast disease in developed countries1. Tuberculous infections within the United Kingdom have seen a steady decline with the highest rates present within North West London where infection rates reach 24.8 per 1000002. The presentation can mimic malignancy and lymphatic involvement of the breast both clinically and mammographically, with nodules within the upper outer quadrant, making accurate diagnosis challenging.3 Approximately 30% of breast TB cases present with axillary lymphadenopathy and a recent case series review of approximately 44 cases in London found that the most common presenting feature was a solitary breast lump in 87% of cases.4 We present a case of a patient presenting with primary malignancy and contralateral nodal disease highly suspicious for breast malignancy. Subsequent investigation led to the identification of synchronous localized cancer and tuberculous lymphadenitis. Synchronous presentation is uncommon and recognition and differentiation is vital as axillary lymph node metastasis is the most important factor in the staging of breast carcinoma and determining the subsequent oncological and surgical management.

2016 ◽  
Vol 19 (B) ◽  
pp. 5-7 ◽  
Author(s):  
Ramya Soundararajan ◽  
Niraj Naswa ◽  
Sellam Karunanithi ◽  
Ritika Walia ◽  
Rakesh Kumar ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  

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.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Seyed-Mohammad Mazloomi ◽  
Mitra Foroutan-Ghaznavi ◽  
Vahid Montazeri ◽  
Gholamreza Tavoosidana ◽  
Ashraf Fakhrjou ◽  
...  

Abstract Background Metastasis accounts for ninety percent of breast cancer (BrCa) mortality. Cortactin, Ras homologous gene family member A (RhoA), and Rho-associated kinase (ROCK) raise cellular motility in favor of metastasis. Claudins (CLDN) belong to tight junction integrity and are dysregulated in BrCa. Thus far, epidemiologic evidence regarding the association of different pro-metastatic genes with pathological phenotypes of BrCa is largely inconsistent. This study aimed to determine the possible transcriptional models of pro-metastatic genes incorporate in holding the integrity of epithelial cell–cell junctions (CTTN, RhoA, ROCK, CLDN-1, CLDN-2, and CLDN-4), for the first time, in association with clinicopathological features of primary BrCa. Methods In a consecutive case-series design, 206 newly diagnosed non-metastatic eligible BrCa patients with histopathological confirmation (30–65 years) were recruited in Tabriz, Iran (2015–2017). Real-time RT-PCR was used. Then fold changes in the expression of target genes were measured. Results ROCK amplification was associated with the involvement of axillary lymph node metastasis (ALNM; ORadj. = 3.05, 95%CI 1.01–9.18). Consistently, inter-correlations of CTTN-ROCK (β = 0.226, P < 0.05) and RhoA-ROCK (β = 0.311, P < 0.01) were determined among patients diagnosed with ALNM+ BrCa. In addition, the overexpression of CLDN-4 was frequently observed in tumors identified by ALNM+ or grade III (P < 0.05). The overexpression of CTTN, CLDN-1, and CLDN-4 genes was correlated positively with the extent of tumor size. CTTN overexpression was associated with the increased chance of luminal-A positivity vs. non-luminal-A (ORadj. = 1.96, 95%CI 1.02–3.77). ROCK was also expressed in luminal-B BrCa tumors (P < 0.05). The estrogen receptor-dependent transcriptions were extended to the inter-correlations of RhoA-ROCK (β = 0.280, P < 0.01), ROCK-CLDN-2 (β = 0.267, P < 0.05), and CLDN-1-CLDN-4 (β = 0.451, P < 0.001). Conclusions For the first time, our findings suggested that the inter-correlations of CTTN-ROCK and RhoA-ROCK were significant transcriptional profiles determined in association with ALNM involvement; therefore the overexpression of ROCK may serve as a potential molecular marker for lymphatic metastasis. The provided binary transcriptional profiles need more approvals in different clinical features of BrCa metastasis.


2004 ◽  
Vol 87 (2) ◽  
pp. 75-79 ◽  
Author(s):  
Osamu Watanabe ◽  
Tadao Shimizu ◽  
Hiroshi Imamura ◽  
Jun Kinoshita ◽  
Yoshihito Utada ◽  
...  

Breast Cancer ◽  
2009 ◽  
Vol 19 (4) ◽  
pp. 365-368 ◽  
Author(s):  
Dimitrios M. Dragoumis ◽  
Anthoula S. Assimaki ◽  
Aris P. Tsiftsoglou

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