Couch, F.J.

Abstract Background: Chemotherapy can damage the ovaries and cause amenorrhea, a surrogate for infertility. Young women often wish to understand and minimize their risk of chemotherapy-related amenorrhea (CRA). However, the incidence of CRA with regimens that do not include either an anthracycline or cyclophosphamide is poorly studied. For patients with HER-2 positive disease, these anthracycline and cyclophosphamide-sparing regimens (e.g., docetaxel-carboplatin) are common (in combination with Her-2 directed therapy) in both the neoadjuvant and adjuvant settings. Methods: Women diagnosed with breast cancer under age 50 and within the past 10 years were recruited through a Dr. Susan Love Research Foundation Army of Women e-mail blast. Those who provided their contact information were mailed a consent form and medical record authorization form. Participants then received a web-based survey that inquired about receipt of and type of chemotherapy (including date of last dose) and date of last menstrual period (LMP). Patient-reported LMP was compared to date of final chemotherapy dose to determine if the LMP occurred before (defined as “CRA”) or after the last chemotherapy dose. When available, medical record data was used in place of survey data regarding type of chemotherapy used. Exclusion criteria included: LMP prior to diagnosis date, receipt of multiple chemotherapy regimens or no chemotherapy regimens, receipt of ovarian suppression medications (which interfere with interpretation of menstrual data), surgical menopause prior to or at the same time as diagnosis, a cancer diagnosis more than 10 years prior, incomplete menstrual data on the survey, report of an unknown chemotherapy regimen, and no date available for the last chemotherapy dose without an LMP within a month prior to survey completion. Fisher Exact test was used to compare CRA rates between regimens. Rates after two anthracycline-sparing regimens (taxane/cyclophosphamide; taxane/carboplatin) were compared to rates after anthracycline/cyclophosphamide/taxane. Results: 273 women consented to participate in this study, 258 of whom filled out the web survey. 151 of them were eligible for this analysis with a median age at diagnosis of 41 (range 24-49) and a median time from last chemotherapy dose to survey of 62.5 months (range 2-138). CRA occurred in 51.2% of the 86 participants who received an anthracycline, cyclophosphamide, and a taxane, in 41.9% of the 43 participants who received only a taxane and cyclophosphamide (p=0.35), and in 13.3% of the 15 participants who received carboplatin with a taxane (p=0.01). When the 11 patients who were <12 months since last chemotherapy were excluded, CRA rates changed minimally. Age did not differ by regimen, but median time since chemotherapy was shorter in the taxane/carboplatin group (35 months vs. 68 months). Trastuzumab with or without pertuzumab was administered in 100% of patients who received carboplatin/taxane, in 23.3% of patients who received taxane and cyclophosphamide, and in 22.1% of patients who received anthracycline/cyclophosphamide/taxane. Conclusions: This study suggests that carboplatin/taxane may be substantially less gonadotoxic than cyclophosphamide-based (neo)adjuvant regimens. Further research is necessary to confirm these findings. Citation Format: Gast KC, Cathcart-Rake EJ, Norman A, Eshragi L, Obidegwu N, Yost K, Nichols HB, Rosenberg S, Su HI, Stewart E, Couch F, Vachon C, Ruddy KJ. Regimen-specific rates of chemotherapy-related amenorrhea in breast cancer survivors [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-12-10.

Abstract Purpose: Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype with substantial risks of disease recurrence. While cytotoxic chemotherapy is commonly administered and reduces recurrence, disease outcomes vary considerably and few prognostic tools are available for risk stratification for TNBC patients. We constructed and validated clinical calculators for invasive-disease free survival (IDFS) and overall survival (OS) for TNBC and compared their performance against AJCC-based models which include only tumor size and nodal status. Methods: From a surgical cohort of 9,982 patients who underwent breast cancer surgery at Mayo Clinic between January 1985 and December 2012, 605 centrally reviewed TNBC patients were identified and used to construct Cox models for IDFS and OS. Patients treated with neoadjuvant chemotherapy were excluded. Variables considered included age, menopausal status, tumor size, nodal status, Nottingham grade, type of breast surgery (mastectomy vs. lumpectomy), adjuvant radiation therapy, adjuvant chemotherapy, Ki67, stromal tumor infiltrating lymphocytes (sTILs), and neutrophil-to-lymphocyte ratio (NLR). Missing values were imputed using single imputation with all variables (including outcomes) included in the imputation model. Backward step-down procedure was used for model selections. The final models were internally validated for calibration and discrimination using bootstrapping methods and compared with AJCC-based models. Results: For both IDFS and OS, higher sTIL's, less extensive nodal involvement, use of adjuvant chemotherapy, and lower NLR were significant predictors of improved clinical outcomes. Premenopausal status and younger age were additionally predictive of improved IDFS and OS, respectively. Models for IDFS and OS have good calibration and are associated with bias-corrected C-indices of 0.68 and 0.71, respectively, as compared with C-indices of 0.59 and 0.62 for AJCC-based models. Conclusions: Our data indicate that a clinical calculator that includes sTIL's, NLR, menopausal status, age, nodal involvement as well as chemotherapy use can provide significantly greater prediction of clinical risk than tumor size and nodal status alone. These tools may be used to identify TNBC patients at elevated risk of disease relapse and to aid physician's communication with patients regarding their long-term disease outlook and planning treatment strategies. External validation is required to further evaluate broader applicability of this tool, which was developed utilizing a single-institutional experience. Citation Format: Polley M-YC, Leon-Ferre RA, Liu H, Gilbert J, Cafourek V, Hillman DW, Negron V, Boughey JC, Liu MC, Ingle JN, Kalari K, Couch F, Visscher DW, Goetz MP. Mayo clinic TNBC outcome calculator: A clinical calculator to predict disease relapse and survival in women with triple-negative breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-06-07.

Gene‐panel sequencing allows comprehensive analysis of multiple genes simultaneously and is now routinely used in clinical mutation testing of high‐risk breast and ovarian cancer patients. However, only BRCA1 and BRCA2 are often analyzed also for large genomic changes. Here, we have analyzed 10 clinically relevant susceptibility genes in 95 breast or ovarian cancer patients with gene‐panel sequencing including also copy number variants (CNV) analysis for genomic changes. We identified 12 different pathogenic BRCA1, BRCA2, TP53, PTEN, CHEK2, or RAD51C mutations in 18 of 95 patients (19%). BRCA1/2 mutations were observed in 8 patients (8.4%) and CHEK2 protein‐truncating mutations in 7 patients (7.4%). In addition, we identified a novel duplication encompassing most of the RAD51C gene. We further genotyped the duplication in breast or ovarian cancer families (n = 1149), in unselected breast (n = 1729) and ovarian cancer cohorts (n = 553), and in population controls (n = 1273). Seven additional duplication carries were observed among cases but none among controls. The duplication associated with ovarian cancer risk (3/590 of all ovarian cancer patients, 0.5%, P = .032 compared with controls) and was found to represent a large fraction of all identified RAD51C mutations in the Finnish population. Our data emphasizes the importance of comprehensive mutation analysis including CNV detection in all the relevant genes.

Abstract Background The BRCA 1 tumour suppressor gene is mutated in a significant proportion of hereditary breast cancer cases. Additionally, downregulation of BRCA1 mRNA and protein expression is reported in approximately one third of sporadic breast cancers. BRCA1 is strongly implicated in the maintenance of genomic stability by its involvement in multiple cellular pathways including: DNA damage signalling, DNA repair, cell cycle regulation, protein ubiquitination, chromatin remodelling, transcriptional regulation and apoptosis. To date, gene expression profiling has identified: (1) at least five breast cancer subtypes and (2) that BRCA1 mutant tumours segregate with basal-like breast cancers. These studies also provide evidence that breast cancers with germline mutations in BRCA1 are different from non BRCA1-related tumours. The main aim of this study is to investigate the underlying biology of BRCA1-mutated breast cancer. Methods Extensive gene expression profiling and data analysis were performed on a cohort of 70 FFPE (Formalin Fixed Paraffin Embedded) derived BRCA 1 mutated breast tumours and matched sporadic controls using the Almac Breast Cancer DSATM research tool. Functional analysis was performed with DAVID and METACORE. Validation of gene targets was performed by qRT-PCR and Western blotting. Results A list of differentially expressed transcripts has been derived from the comparison of these BRCA1 mutant breast tumours and matched sporadic controls. Functional analysis of this gene list has identified the key genes and molecular pathways that are deregulated in these tumours. BRCA1 deficiency was associated with deregulation of pathways involved in: (1) immune response, (2) metastasis and invasion, (3) cytoskeletal remodelling, (4) spindle assembly and chromosome separation, (5) apoptosis and survival. Validation of the key genes underlying this BRCA1-deficient breast cancer profile has been performed. Conclusions This approach has revealed a set of transcripts that could potentially be used to identify both hereditary and sporadic breast cancer patients with BRCA1- deficiency. The ability to perform gene expression profiling from FFPE derived breast tissue could also have significant clinical application. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P6-04-02.