2022
DOI: 10.3390/biomedicines10010164
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Prognostic Role of Androgen Receptor Expression in HER2+ Breast Carcinoma Subtypes

Abstract: HER2+ breast cancer (BC) is an aggressive subtype representing a genetically and biologically heterogeneous group of tumors resulting in variable prognosis and treatment response to HER2-targeted therapies according to estrogen (ER) and progesterone receptor (PR) expression. The relationship with androgen receptors (AR), a member of the steroid hormone’s family, is unwell known in BC. The present study aims to evaluate the prognostic impact of AR expression in HER2+ BC subtypes. A total of 695 BCs were selecte… Show more

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Cited by 5 publications
(3 citation statements)
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“…AR Clone SP107 (Cell-MarqueTM, Rocklin, CA, USA) was used to determine AR expression. IHC and SISH analysis were performed as previously described (Orrù et al 2022 ). BCL11A clone 14B 5 (dilution 1:100, ab19487, AbCam, Cambridge, USA) was used to determine BCL11A expression.…”
Section: Methodsmentioning
confidence: 99%
“…AR Clone SP107 (Cell-MarqueTM, Rocklin, CA, USA) was used to determine AR expression. IHC and SISH analysis were performed as previously described (Orrù et al 2022 ). BCL11A clone 14B 5 (dilution 1:100, ab19487, AbCam, Cambridge, USA) was used to determine BCL11A expression.…”
Section: Methodsmentioning
confidence: 99%
“…Although AR expression was not significantly associated with DFS (HR 1.20; 95% CI, 0.86-1.69, p = 0.28), OS (HR 1.50; 95% CI, 1.01-2.22 p = 0.04) was worse in the HER2-positive subgroup according to the analyses performed by Bozovic-Spasojevic et al [52]. Therefore, AR expression may be useful for the prognosis of OS for patients with ER-negative and HER2-positive breast cancer [76]. Moreover, the inhibition of AR by antiandrogens such as enzalutamide or by shRNA reduced the cell growth of HER2-positive breast cancer cell lines [77].…”
Section: Ar Roles In Er-negative Breast Cancermentioning
confidence: 92%
“…In addition to these predictors usually available in daily clinical practice, there are many others that are still in the research phase: HER2DX, a supervised learning algorithm incorporating tumor size, nodal staging, and four gene expression signatures tracking immune infiltration, tumor cell proliferation, luminal differentiation, the expression of the HER2 amplicon, into a single score [32], the value of tumor-infiltrating lymphocytes (TILs) [35], the oncogene bcl-2 [36], HER2/CEN17 ratio [37], androgen receptor [38], and even Machine Learning with MRI Radiomics [39].…”
mentioning
confidence: 99%