Person: Baker, Gabrielle
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Publication Testosterone Therapy and Breast Histopathological Features in Transgender Individuals
(Springer Science and Business Media LLC, 2020-09-16) Baker, Gabrielle; Guzman-Arocho, Yaileen D.; Bret-Mounet, Vanessa C.; Torous, Vanda; Schnitt, Stuart; Tobias, Adam; Bartlett, Richard; Fein-Zachary, Valerie J.; Collins, Laura; Wulf, Gerburg; Heng, Yujing J.; Heng, YujingTestosterone therapy (TT) is administered to enhance masculinization in transgender individuals. The long term effect of exogenous testosterone on breast tissues remains unclear. Our study evaluated the modulation of breast morphology by TT in transgender individuals with special attention to duration of TT. We reviewed 447 breast surgical specimens from gender affirming chest-contouring surgery, and compared histopathological findings including degree of lobular atrophy, and atypical and non-atypical proliferations between subjects who did (n=367) and did not (n=79) receive TT. TT for one patient was unknown. TT for >12 months was associated with seven histopathological features. Longer duration of TT was significantly associated with higher degrees of lobular atrophy (p<0.001). This relationship remained significant after accounting for age at surgery, ethnicity, body mass index, and pre-surgical oophorectomy (adjusted p<0.001). Four types of lesions were more likely to be absent in breast tissues exposed to longer durations of TT: cysts (median=16.2 months; p<0.01; adjusted p=0.01), fibroadenoma (median=14.8 months; p=0.02; adjusted p=0.07), pseudoangiomatous stromal hyperplasia (median=17.0 months; p<0.001; adjusted p<0.001), and papillomas (median=14.7 months; p=0.04; adjusted p=0.20). Columnar cell change and mild inflammation were also less likely to occur in subjects receiving TT (p<0.05), but were not linked to the duration of TT. Atypia and ductal carcinoma in situ (DCIS) were detected in 11 subjects (2.5%) all of whom received TT ranging from 10.1 to 64.1 months. The incidental findings of high-risk lesions and carcinoma as well as the risk of cancer in residual breast tissue after chest-contouring surgery warrant the consideration of culturally sensitive routine breast cancer screening protocols for transgender men and masculine-centered gender non-conforming individuals. Long-term follow-up studies and molecular investigations are needed to understand the breast cancer risk of transgender individuals who receive TT.
Publication Image-guided Coring for Large-scale Studies in Molecular Pathology
(Lippincott Williams & Wilkins, 2016) Montaser-Kouhsari, Laleh; Knoblauch, Nicholas W.; Oh, Eun-Yeong; Baker, Gabrielle; Christensen, Stephen; Hazra, Aditi; Tamimi, Rulla; Beck, AndrewSampling of formalin-fixed paraffin-embedded (FFPE) tissue blocks is a critical initial step in molecular pathology. Image-guided coring (IGC) is a new method for using digital pathology images to guide tissue block coring for molecular analyses. The goal of our study is to evaluate the use of IGC for both tissue-based and nucleic acid–based projects in molecular pathology. First, we used IGC to construct a tissue microarray (TMA); second, we used IGC for FFPE block sampling followed by RNA extraction; and third, we assessed the correlation between nuclear counts quantitated from the IGC images and RNA yields. We used IGC to construct a TMA containing 198 normal and breast cancer cores. Histopathologic analysis showed high accuracy for obtaining tumor and normal breast tissue. Next, we used IGC to obtain normal and tumor breast samples before RNA extraction. We selected a random subset of tumor and normal samples to perform computational image analysis to quantify nuclear density, and we built regression models to estimate RNA yields from nuclear count, age of the block, and core diameter. Number of nuclei and core diameter were the strongest predictors of RNA yields in both normal and tumor tissue. IGC is an effective method for sampling FFPE tissue blocks for TMA construction and nucleic acid extraction. We identify significant associations between quantitative nuclear counts obtained from IGC images and RNA yields, suggesting that the integration of computational image analysis with IGC may be an effective approach for tumor sampling in large-scale molecular studies.