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- Title
FOXC1: A Specific Biomarker for Triple-Negative Breast Cancer Diagnosis and Classification.
- Authors
Ming Li; Hong Lv; Siyuan Zhong; Shuling Zhou; Hongfen Lu; Wentao Yang
- Abstract
Context.--Few studies have investigated the features of FOXC1 protein expression in invasive breast cancer subtypes as defined by immunohistochemistry (IHC)--based surrogate molecular classification. Objective.--To investigate the diagnostic utility of the IHC-based FOXC1 test in breast cancer subtyping and to evaluate the correlation between FOXC1 expression and clinicopathologic parameters in triple-negative breast cancer (TNBC). Design.--FOXC1 expression was evaluated with IHC in a large cohort of 2443 patients with breast cancer. Receiver operating characteristic (ROC) curves were used to assess the diagnostic ability of FOXC1 expression to predict the triple-negative phenotype and to identify the best cutoff value. FOXC1 expression was correlated with the clinicopathologic parameters of TNBC. Results.--The expression rate of FOXC1 in TNBC was significantly higher than in other subtypes. The area under the ROC curve confirmed the high diagnostic value of FOXC1 for the prediction of the triple-negative phenotype. The cutoff value of 1% showed a maximized sum of sensitivity and specificity. In TNBC, FOXC1 expression was significantly associated with aggressive tumor phenotypes. Furthermore, FOXC1 expression was primarily observed in invasive breast carcinoma of no special type and metaplastic carcinoma but rarely in invasive carcinoma with apocrine differentiation. Correspondingly, FOXC1 expression was significantly associated with the expression of basal markers but was negatively correlated with apocrine-related markers in TNBC. Conclusions.--In conclusion, FOXC1 is a highly specific marker for the triple-negative phenotype. Moreover, IHC detection of FOXC1 expression can be used as an additional diagnostic tool for the triple-negative phenotype and subclassification in TNBC.
- Subjects
BREAST tumor diagnosis; IMMUNOHISTOCHEMISTRY; CANCER invasiveness; GENETIC testing; GENE expression profiling; TUMOR markers; RECEIVER operating characteristic curves; SENSITIVITY &; specificity (Statistics); BREAST tumors; LONGITUDINAL method; PHENOTYPES; SYMPTOMS; EVALUATION
- Publication
Archives of Pathology & Laboratory Medicine, 2022, Vol 146, Issue 8, p994
- ISSN
0003-9985
- Publication type
Article
- DOI
10.5858/arpa.2021-0039-OA