Elisha Hughes

Association of BRCA1/2 defects with genomic scores predictive of DNA damage repair deficiency among breast cancer subtypes

IntroductionHomologous recombination (HR) DNA repair is of clinical relevance in breast cancer. Three DNA-based homologous recombination deficiency (HRD) scores (HRD-loss of heterozygosity score (LOH), HRD-telomeric allelic imbalance score (TAI), and HRD-large-scale state transition score (LST)) have been developed that are highly correlated with defects in BRCA1/2, and are associated with response to platinum therapy in triple negative breast and ovarian cancer. This study examines the frequency of BRCA1/2 defects among different breast cancer subtypes, and the ability of the HRD scores to identify breast tumors with defects in the homologous recombination DNA repair pathway.Methods215 breast tumors representing all ER/HER2 subtypes were obtained from commercial vendors. Next-generation sequencing based assays were used to generate genome wide SNP profiles, BRCA1/2 mutation screening, and BRCA1 promoter methylation data.ResultsBRCA1/2 deleterious mutations were observed in all breast cancer subtypes. BRCA1 promoter methylation was observed almost exclusively in triple negative breast cancer. BRCA1/2 deficient tumors were identified with BRCA1/2 mutations, or BRCA1 promoter methylation, and loss of the second allele of the affected gene. All three HRD scores were highly associated with BRCA1/2 deficiency (HRD-LOH: P = 1.3 × 10-17; HRD-TAI: P = 1.5 × 10-19; HRD-LST: P = 3.5 × 10-18). A combined score (HRD-mean) was calculated using the arithmetic mean of the three scores. In multivariable analyses the HRD-mean score captured significant BRCA1/2 deficiency information not captured by the three individual scores, or by clinical variables (P values for HRD-Mean adjusted for HRD-LOH: P = 1.4 × 10-8; HRD-TAI: P = 2.9 × 10-7; HRD-LST: P = 2.8 × 10-8; clinical variables: P = 1.2 × 10-16).ConclusionsThe HRD scores showed strong correlation with BRCA1/2 deficiency regardless of breast cancer subtype. The frequency of elevated scores suggests that a significant proportion of all breast tumor subtypes may carry defects in the homologous recombination DNA repair pathway. The HRD scores can be combined to produce a more robust predictor of HRD. The combination of a robust score, and the FFPE compatible assay described in this study, may facilitate use of agents targeting homologous recombination DNA repair in the clinical setting.

Validation of a Proliferation-based Expression Signature as Prognostic Marker in Early Stage Lung Adenocarcinoma

Purpose: New prognostic markers to guide treatment decisions in early stage non–small cell lung cancer are necessary to improve patient outcomes. In this report, we assess the utility of a predefined mRNA expression signature of cell-cycle progression genes (CCP score) to define 5-year risk of lung cancer–related death in patients with early stage lung adenocarcinoma. Experimental Design: A CCP score was calculated from the mRNA expression levels of 31 proliferation genes in stage I and stage II tumor samples from two public microarray datasets [Directors Consortium (DC) and GSE31210]. The same gene set was tested by quantitative PCR in 381 formalin-fixed paraffin-embedded (FFPE) primary tumors. Association of the CCP score with outcome was assessed by Cox proportional hazards analysis. Results: In univariate analysis, the CCP score was a strong predictor of cancer-specific survival in both the Directors Consortium cohort (P = 0.00014; HR = 2.08; 95% CI, 1.43–3.02) and GSE31210 (P = 0.0010; HR = 2.25; 95% CI, 1.42–3.56). In multivariate analysis, the CCP score remained the dominant prognostic marker in the presence of clinical variables (P = 0.0022; HR = 2.02; 95% CI, 1.29–3.17 in Directors Consortium, P = 0.0026; HR = 2.16; 95% CI, 1.32–3.53 in GSE31210). On a quantitative PCR platform, the CCP score maintained highly significant prognostic value in FFPE-derived mRNA from clinical samples in both univariate (P = 0.00033; HR = 2.10; 95% CI, 1.39–3.17) and multivariate analyses (P = 0.0071; HR = 1.92; 95% CI, 1.18–3.10). Conclusions: The CCP score is a significant predictor of lung cancer death in early stage lung adenocarcinoma treated with surgery and may be a valuable tool in selecting patients for adjuvant treatment. Clin Cancer Res; 19(22); 6261–71. ©2013 AACR.

Validation of a Molecular and Pathological Model for Five-Year Mortality Risk in Patients with Early Stage Lung Adenocarcinoma

Introduction: The aim of this study was to validate a molecular expression signature [cell cycle progression (CCP) score] that identifies patients with a higher risk of cancer-related death after surgical resection of early stage (I-II) lung adenocarcinoma in a large patient cohort and evaluate the effectiveness of combining CCP score and pathological stage for predicting lung cancer mortality. Methods: Formalin-fixed paraffin-embedded surgical tumor samples from 650 patients diagnosed with stage I and II adenocarcinoma who underwent definitive surgical treatment without adjuvant chemotherapy were analyzed for 31 proliferation genes by quantitative real-time polymerase chain reaction. The prognostic discrimination of the expression score was assessed by Cox proportional hazards analysis using 5-year lung cancer-specific death as primary outcome. Results: The CCP score was a significant predictor of lung cancer-specific mortality above clinical covariates [hazard ratio (HR) = 1.46 per interquartile range (95% confidence interval = 1.12–1.90; p = 0.0050)]. The prognostic score, a combination of CCP score and pathological stage, was a more significant indicator of lung cancer mortality risk than pathological stage in the full cohort (HR = 2.01; p = 2.8 × 10−11) and in stage I patients (HR = 1.67; p = 0.00027). Using the 85th percentile of the prognostic score as a threshold, there was a significant difference in lung cancer survival between low-risk and high-risk patient groups (p = 3.8 × 10−7). Conclusions: This study validates the CCP score and the prognostic score as independent predictors of lung cancer death in patients with early stage lung adenocarcinoma treated with surgery alone. Patients with resected stage I lung adenocarcinoma and a high prognostic score may be candidates for adjuvant therapy to reduce cancer-related mortality.

Comprehensive sequencing of PALB2 in patients with breast cancer suggests PALB2 mutations explain a subset of hereditary breast cancer

This study sought to determine the prevalence of PALB2 mutations in a cohort referred for diagnostic testing for hereditary breast cancer.

Stratification of resectable lung adenocarcinoma by molecular and pathological risk estimators

BACKGROUND Mortality in early stage, resectable lung cancer is sufficiently high to warrant consideration of post-surgical treatment. Novel markers to stratify resectable lung cancer patients may help with the selection of treatment to improve outcome. METHODS Primary tumour tissue from 485 patients, surgically treated for stage I-II lung adenocarcinoma, was analysed for the RNA expression of 31 cell cycle progression (CCP) genes by quantitative polymerase chain reaction (PCR). The expression average, the CCP score, was combined with pathological stage into a prognostic score (PS). Cox proportional hazards regression assessed prediction of 5-year lung cancer mortality above clinical variables. The PS threshold was tested for risk discrimination by the Mantel-Cox log-rank test. RESULTS The CCP score added significant information above clinical markers (all patients, P=0.0029; stage I patients, P=0.013). The prognostic score was a superior predictor of outcome compared to pathological stage alone (PS, P=0.00084; stage, P=0.24). Five-year lung cancer mortality was significantly different between the low-risk (90%, 95% confidence interval (CI) 81-95%), and high-risk groups (65%, 95% CI 57-72%), P=4.2×10(-6)). CONCLUSIONS The CCP score is an independent prognostic marker in early stage lung adenocarcinoma. The prognostic score provides superior risk estimates than stage alone. The threefold higher risk in the high-risk group defines a subset of patients that should consider therapeutic choices to improve outcome.

Breast and Ovarian Cancer Penetrance Estimates Derived From Germline Multiple-Gene Sequencing Results in Women

PurposeMultiple-gene, next-generation sequencing panels are increasingly used to assess hereditary cancer risks of patients with diverse personal and family cancer histories. The magnitude of breast and ovarian cancer risk associated with many clinically tested genes, and independent of family cancer history, remains to be quantified.MethodsWe queried a commercial laboratory database of 95,561 women tested clinically for hereditary cancer risk with a 25-gene (APC, ATM, BARD1, BMPR1A, BRCA1, BRCA2, BRIP1, CDH1, CDK4, CHEK2, MLH2, MSH2, MSH6, MUTYH, NBN, P14ARF, P16, PALB2, PMS2, PTEN, RAD51C, RAD51D, SMAD4, STK11, and TP53) next-generation sequencing panel. Multivariable logistic regression models accounting for family history were used to examine the association between pathogenic mutations and breast or ovarian cancer. As a confirmatory approach, a matched case-control analysis was conducted, defining cases as patients with breast or ovarian cancer and controls as women without cancer.ResultsOne or more ...

Classification of genetic variants in genes associated with Lynch syndrome using a clinical history weighting algorithm

BackgroundLynch syndrome is a hereditary cancer syndrome associated with high risks of colorectal and endometrial cancer that is caused by pathogenic variants in the mismatch repair genes (MLH1, MSH2, MSH6, PMS2, EPCAM). Accurate classification of variants identified in these genes as pathogenic or benign enables informed medical management decisions. Previously, we developed a clinical History Weighting Algorithm (HWA) for the classification of variants of uncertain significance (VUSs) in BRCA1 and BRCA2. The BRCA1/2 HWA is based on the premise that pathogenic variants in these genes will be identified more often in individuals with strong personal and/or family histories of breast and/or ovarian cancer, while the identification of benign variants should be independent of cancer history. Here we report the development of a similar HWA to allow for classification of VUSs in genes associated with Lynch syndrome using data collected through both syndrome-specific and pan-cancer panel testing.MethodsUpon completion of algorithm development, the HWA was tested using simulated variants constructed from 79,214 probands, as well as 379 true variants. Positive (PPV) and negative predictive values (NPV) were calculated on a per gene basis.Results25,500 pathogenic and 50,500 benign simulated variants were analyzed using the HWA and the PPVs and NPVs for each gene were greater than 0.997 and 0.999, respectively. The HWA was also evaluated using 100 trials for each of the 379 true variants. PPVs of >0.998 and NPVs of >0.999 were obtained for all genes.ConclusionsWe have developed and implemented a HWA to aid in the classification of VUSs in genes associated with Lynch syndrome. The work presented here demonstrates that this HWA is able to classify MLH1, MSH2, and MSH6 VUSs as either benign or pathogenic with high accuracy.

Mutation analysis of PALB2 in high-risk and lower-risk patients negative for BRCA1 and BRCA2 mutations.

30 Background: PALB2 has been identified as a breast cancer susceptibility gene conferring ~ 2-4 fold increased risk of breast cancer. A number of studies have estimated the PALB2 mutation prevalence to range from 0.5% - 2.9% in populations of breast cancer patients. We performed an analysis to determine the PALB2 mutation prevalence in a large U.S. referral testing population. METHODS DNA samples were anonymized from two subsets of patients: 955 early onset breast cancer patients with severe family history, and 524 patients with later onset of breast cancer and/or less severe family history. All patients were negative for deleterious sequence mutations or large rearrangements in BRCA1 and BRCA2. RESULTS We identified 10 disease associated PALB2 mutations in the high risk group of 955 patients and 2 deleterious PALB2 mutations in the lower risk group of 524 patients. Identified PALB2 mutations included 8 nonsense, 3 frameshift mutations and a splice site mutation. The mutation prevalence for the high risk population was 1.05% (95% C.I., 0.5 -1.92) whereas that for the lower risk population was 0.38% (95% C.I., 0.05-1.37). The observed rate of PALB2 variants of unknown significance (VUS) identified in this study was ~5% (78 VUS were in 75 of the 1479 patients that were tested). Our variant classification program which successfully decreased the VUS rate in BRCA1 and BRCA2 is similarly expected to enhance mutation classification on an on-going basis for PALB2 genetic testing. CONCLUSIONS Genetic testing for PALB2 may be indicated as a reflex test for breast cancer patients who test negative for BRCA1 and BRCA2.

Biomarker assessment of HR deficiency, tumor BRCA1/2 mutations and CCNE1 copy number in ovarian cancer: associations with clinical outcome following platinum monotherapy

The current study evaluated three biomarkers [homologous recombination deficiency (HRD), tumor BRCA1/2 (tBRCA) mutations, and CCNE1 copy-number variation (CNV)] in ovarian tumors from patients enrolled on the SCOTROC4 clinical trial for associations with outcome following carboplatin monotherapy. Ovarian tumors (n = 250), with high-grade serous (HGSOC) subgroup analysis (n = 179) were classified as HRD positive (HRD score ≥42 or tBRCA mutation) and as CCNE1 amplification positive (CCNE1 CNV score >2.4). Seventy-four (30%) tumors were HRD positive, including 34 (14%) with tBRCA mutations. Forty-seven (19%) were CCNE1 amplification positive, all of which were tBRCA wild-type. HRD and tBRCA, but not CCNE1 amplification, were significantly associated with CA125 complete response in the entire cohort (HRD, P = 0.00015; tBRCA P = 0.0096), and the HGSOC subgroup (HRD, P = 0.0016; tBRCA P = 0.032). HRD and lack of CCNE1 amplification were associated with improved progression-free survival (PFS) and overall survival (OS) in the full cohort and HGSOC subgroup (HRD, P = 0.00021; CCNE1 status P = 0.038). HRD remained significant for OS and PFS after adjusting for clinical factors, while CCNE1 status only remained significant for PFS. Patients with HRD-positive tumors had greater PFS and OS benefit from platinum dose intensification than HRD-negative tumors (P = 0.049 and P = 0.035, respectively). An alternative exploratory HRD score threshold (≥33 or tBRCA mutation) was also significantly associated with both PFS and OS in the HGSOC subset. Implications: HRD, tumor BRCA1/2 mutations, and absence of CCNE1 amplification are associated with improved survival of ovarian cancer patients treated with platinum monotherapy and HRD-positive patients may benefit from platinum dose intensification. Mol Cancer Res; 16(7); 1103–11. ©2018 AACR.

Analytical validation of a proliferation-based molecular signature used as a prognostic marker in early stage lung adenocarcinoma

AIMS The aim of these studies was to validate the analytical performance of a cell cycle progression (CCP) gene signature that provides prognostic information for early stage lung adenocarcinomas. MATERIALS & METHODS Formalin-fixed paraffin-embedded (FFPE) lung resections were evaluated by quantitative RT-PCR for the expression of 31 target and 15 housekeeper genes comprising the CCP score. RESULTS The signature had a standard deviation (SD) of 0.06 score units and a dynamic range spanning CCP scores between -13 and 14. The average amplicon efficiencies for target and housekeeper genes were 107% and 105%, respectively. All but one amplicon had a SD <0.5 CT. CONCLUSION These studies demonstrate that the gene signature is robust and reproducible, making it suitable for use in a clinical setting.