Biological Role and Clinical Implications of microRNAs in BRCA Mutation Carriers

Women with pathogenic germline mutations in BRCA1 and BRCA2 genes have an increased risk to develop breast and ovarian cancer. There is, however, a high interpersonal variability in the modality and timing of tumor onset in those subjects, thus suggesting a potential role of other individual’s genetic, epigenetic, and environmental risk factors in modulating the penetrance of BRCA mutations. MicroRNAs (miRNAs) are small noncoding RNAs that can modulate the expression of several genes involved in cancer initiation and progression. MiRNAs are dysregulated at all stages of breast cancer and although they are accessible and evaluable, a standardized method for miRNA assessment is needed to ensure comparable data analysis and accuracy of results. The aim of this review was to highlight the role of miRNAs as potential biological markers for BRCA mutation carriers. In particular, biological and clinical implications of a link between lifestyle and nutritional modifiable factors, miRNA expression and germline BRCA1 and BRCA2 mutations are discussed with the knowledge of the best available scientific evidence

Epidermal Growth Factor Receptor Intron-1 Polymorphism Predicts Gefitinib Outcome in Advanced Non-small Cell Lung Cancer

IntroductionEpidermal growth factor receptor (EGFR) gene intron 1 contains a polymorphic single sequence dinucleotide repeat (CA)n whose length has been found to inversely correlate with transcriptional activity. This study was designed to assess the role of (CA)n polymorphism in predicting the outcome of gefitinib treatment in advanced non-small cell lung cancer (NSCLC).MethodsBlood and tumor tissue from 58 patients with advanced NSCLC submitted to gefitinib were collected. EGFR intron 1 gene polymorphism, along with EGFR gene mutation, gene copy number and immunohistochemistry expression were determined. Moreover, a panel of lung cancer cell lines characterized for EGFR intron 1 polymorphism was also studied.ResultsEGFR intron 1 polymorphism showed a statistically significant correlation with the gefitinib response (response rate 25 versus 0%, for patients with a (CA)16 and with a (CA)else genotype, respectively; p = 0.044). Patients with a (CA)16 genotype had a longer survival compared with those with a (CA)else genotype (11.4 versus 4.8 months, respectively; p = 0.037). In addition, cell lines lacking the (CA)16 allele showed a statistically significant higher IC50 compared with cell lines bearing at least one (CA)16 allele (p = 0.003).ConclusionsThis study supports a potential role of EGFR intron 1 polymorphism in predicting the outcome of gefitinib treatment in advanced NSCLC

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

Abstract The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.Peer reviewe

CEA serum level as early predictive marker of outcome during EGFR-TKI therapy in advanced NSCLC patients

Considering the role of carcinoembryonic antigen (CEA) serum levels as potential useful predictive marker during chemotherapy treatment, we studied its applicability in advanced non-small cell lung cancer (NSCLC) patients treated with epidermal growth factor receptor (EGFR) tyrosine-kinase inhibitors (TKIs). Our retrospective cohort consists of 79 patients (33 EGFR mutated and 46 EGFR wild type or unknown) affected by advanced NSCLC, for whom CEA serum values at the beginning of TKI therapy and after the first month of treatment were available, regardless of treatment line. Baseline CEA value, percentage of CEA reduction after 1 month, and percentage of patients with ≥20 % CEA decrease after 1 month (CEA response) were correlated with disease control rate (DCR), progression-free (PFS), and overall (OS) survival, according to EGFR mutational status. Median baseline CEA levels were significantly higher in EGFR mutated (40.9 ng/ml; interquartile range (IQR) 8.9–197.6) than in wild-type cases (6.2 ng/ml; IQR 2.8–12.8; p = 0.003). Both percentage reduction in CEA levels (−10.7 vs. +13.4 %) and percentage of cases with CEA response (42 vs. 20 %) were significantly higher in mutated vs. wild-type/unknown patients (p = 0.007 and p = 0.027, respectively). In wild-type/unknown patients, CEA response was significantly correlated with DCR (p = 0.001) and resulted as a significant predictor of PFS both in univariate (p = 0.002) and in multivariate analyses (hazard ratio (HR) 0.27; 95 % confidence interval (CI) 0.11–0.66; p = 0.004); only a trend was found for OS prediction (p = 0.082). In EGFR-mutated group, CEA reduction did not show any correlation either with PFS or OS. CEA response after 1 month of EGFR-TKI therapy could be a useful marker, worthy to further studies, as early predictor of treatment outcome in EGFR wild-type/unknown unselected NSCLC cases for which no molecular predictor is yet available

Overcoming T790M-driven acquired resistance to EGFR-TKIs in NSCLC with afatinib: a case report

The identification of activating EGFR gene mutations and the availability of effective target therapies such as gefitinib and erlotinib have radically changed the therapeutic approach and prognosis for patients with advanced EGFR-mutated non-small cell lung cancer (NSCLC). However, despite an initial response to EGFR tyrosine kinase inhibitors (TKIs), acquired resistance inevitably develops and the way to overcome it is an open challenge. We report the first case, to our knowledge, of a patient affected by metastatic EGFR-mutated NSCLC with T790M-driven acquired TKI resistance who obtained a significant response to afatinib. Considering the improvement achieved in all disease sites but those in the brain, this case puts a strain on afatinib's activity on brain metastases

Overcoming T790M-driven acquired resistance to EGFR-TKIs in NSCLC with afatinib: a case report

The identification of activating EGFR gene mutations and the availability of effective target therapies such as gefitinib and erlotinib have radically changed the therapeutic approach and prognosis for patients with advanced EGFR-mutated non-small cell lung cancer (NSCLC). However, despite an initial response to EGFR tyrosine kinase inhibitors (TKIs), acquired resistance inevitably develops and the way to overcome it is an open challenge. We report the first case, to our knowledge, of a patient affected by metastatic EGFR-mutated NSCLC with T790M-driven acquired TKI resistance who obtained a significant response to afatinib. Considering the improvement achieved in all disease sites but those in the brain, this case puts a strain on afatinib's activity on brain metastases

Osteoblastc progression during EGFR tyrosine kinase inhibitor therapy in mutated non-small cell lung cancer: A potental blunder

Aims and background: Bone flare reacton as a sign of response to antneoplastc treatment has been redefined, including the onset of new osteoblastc lesions. If misunderstood as skeletal progression, this finding could lead to erroneous therapy discontnuaton, changing the disease clinical course. We aim to describe this clinical phenomenon in patents with advanced non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) gene-actvatng mutatons treated with tyrosine kinase inhibitor (TKI). Methods: We retrospectvely reviewed the computed tomography scans of 43 EGFR-mutated patents with NSCLC treated with EGFR-TKI, analyzing the bone response in terms of increase in the quantty and/or density of lesions, and assessing objectve tumor response to treatment. Results: Osteoblastc reacton was detected in 10 cases (23%), showing different paterns: dimensional or density increase of known osteosclerotc metastases (patern A, n = 4); response of previously lytc lesions (patern B, n = 2); onset of new osteosclerotc lesions (patern C, n = 4). Seven patents had partal response to TKI treatment, with response rate of 70%, vs 50% of patents with bone metastases without this reacton. No difference in terms of median overall survival or progression-free survival emerged between patents with or without osteoblastc reacton. Conclusions: The correct clinico-radiologic interpretaton of osteoblastc reacton is crucial to avoid waste of therapeutc lines when TKI treatment has not yet exhausted its potental effectveness. Clinical implicatons of ambiguous radiologic findings as described in this study deserve further discussion