Browsing by Author "Boughey, Judy C."

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    Identifying homologous recombination deficiency in breast cancer: genomic instability score distributions differ among breast cancer subtypes
    (Springer, 2023) Lenz, Lauren; Neff, Chris; Solimeno, Cara; Cogan, Elizabeth S.; Abramson, Vandana G.; Boughey, Judy C.; Falkson, Carla; Goetz, Matthew P.; Ford, James M.; Gradishar, William J.; Jankowitz, Rachel C.; Kaklamani, Virginia G.; Marcom, P. Kelly; Richardson, Andrea L.; Storniolo, Anna Maria; Tung, Nadine M.; Vinayak, Shaveta; Hodgson, Darren R.; Lai, Zhongwu; Dearden, Simon; Hennessy, Bryan T.; Mayer, Erica L.; Mills, Gordon B.; Slavin, Thomas P.; Gutin, Alexander; Connolly, Roisin M.; Telli, Melinda L.; Stearns, Vered; Lanchbury, Jerry S.; Timms, Kirsten M.; Medicine, School of Medicine
    Purpose: A 3-biomarker homologous recombination deficiency (HRD) score is a key component of a currently FDA-approved companion diagnostic assay to identify HRD in patients with ovarian cancer using a threshold score of ≥ 42, though recent studies have explored the utility of a lower threshold (GIS ≥ 33). The present study evaluated whether the ovarian cancer thresholds may also be appropriate for major breast cancer subtypes by comparing the genomic instability score (GIS) distributions of BRCA1/2-deficient estrogen receptor-positive breast cancer (ER + BC) and triple-negative breast cancer (TNBC) to the GIS distribution of BRCA1/2-deficient ovarian cancer. Methods: Ovarian cancer and breast cancer (ER + BC and TNBC) tumors from ten study cohorts were sequenced to identify pathogenic BRCA1/2 mutations, and GIS was calculated using a previously described algorithm. Pathologic complete response (pCR) to platinum therapy was evaluated in a subset of TNBC samples. For TNBC, a threshold was set and threshold validity was assessed relative to clinical outcomes. Results: A total of 560 ovarian cancer, 805 ER + BC, and 443 TNBC tumors were included. Compared to ovarian cancer, the GIS distribution of BRCA1/2-deficient samples was shifted lower for ER + BC (p = 0.015), but not TNBC (p = 0.35). In the subset of TNBC samples, univariable logistic regression models revealed that GIS status using thresholds of ≥ 42 and ≥ 33 were significant predictors of response to platinum therapy. Conclusions: This study demonstrated that the GIS thresholds used for ovarian cancer may also be appropriate for TNBC, but not ER + BC. GIS thresholds in TNBC were validated using clinical response data to platinum therapy.
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    Tumor and serum DNA methylation in women receiving preoperative chemotherapy with or without vorinostat in TBCRC008
    (Springer Nature, 2018-01) Connolly, Roisin M.; Fackler, Mary Jo; Zhang, Zhe; Zhou, Xian C.; Goetz, Matthew P.; Boughey, Judy C.; Walsh, Bridget; Carpenter, John T.; Storniolo, Anna Maria; Watkins, Stanley P.; Gabrielson, Edward W.; Stearns, Vered; Sukumar, Saraswati; Medicine, School of Medicine
    BACKGROUND: Methylated gene markers have shown promise in predicting breast cancer outcomes and treatment response. We evaluated whether baseline and changes in tissue and serum methylation levels would predict pathological complete response (pCR) in patients with HER2-negative early breast cancer undergoing preoperative chemotherapy. METHODS: The TBCRC008 trial investigated pCR following 12 weeks of preoperative carboplatin and albumin-bound paclitaxel + vorinostat/placebo (n = 62). We measured methylation of a 10-gene panel by quantitative multiplex methylation-specific polymerase chain reaction and expressed results as cumulative methylation index (CMI). We evaluated association between CMI level [baseline, day 15 (D15), and change] and pCR using univariate and multivariable logistic regression models controlling for treatment and hormone receptor (HR) status, and performed exploratory subgroup analyses. RESULTS: In univariate analysis, one log unit increase in tissue CMI levels at D15 was associated with 40% lower chance of obtaining pCR (odds ratio, OR 0.60, 95% CI 0.37-0.97; p = 0.037). Subgroup analyses suggested a significant association between tissue D15 CMI levels and pCR in vorinostat-treated [OR 0.44 (0.20, 0.93), p = 0.03], but not placebo-treated patients. CONCLUSION: In this study investigating the predictive roles of tissue and serum CMI levels in patients with early breast cancer for the first time, we demonstrate that high D15 tissue CMI levels may predict poor response. Larger studies and improved analytical procedures to detect methylated gene markers in early stage breast cancer are needed. TBCRC008 is registered on ClinicalTrials.gov (NCT00616967).