Clinical Oncology

[Practical use of meta-analyses in predicting disease risk, outcome, and therapy response in breast cancer]

KAHÁN Zsuzsanna, TARI Gergely, ENYEDI Márton, HARACSKA Lajos

FEBRUARY 20, 2019

Clinical Oncology - 2019;6(01)

[Germinal BRCA status infl uences patient care both in early and advanced/metastatic breast cancer. Ideally, the patient should make the decision on the type of surgery or the avoidance of radiotherapy being aware of the BRCA status; based on the most recent clinical studies, this knowledge may infl uence the type of chemotherapy in the neoadjuvant, adjuvant, or metastatic setting or may raise the use of emerging targeted therapies. DNA-targeting cytostatic agents, mostly platinum agents and PARP inhibitors that act by inducing synthetic lethality, provide specifi c therapies in BRCA-mutant cases. The optimum place and sequence of these specifi c agents in treatment, however, are not known yet. International guidelines promote BRCA testing for the specifi cation of treatment strategy in all HER2-negative advanced/metastatic breast cancer cases (NCCN) or at least in all cases when, based on certain predictors, the presence of mutations is likely (ESMO). Recently, the methods employed for BRCA testing have improved immensely and are widely available through the services of various providers. For the identifi cation of the mutation, sequencing of the whole genes is needed, which can be achieved faster and more cost-effi ciently using next-generation sequencing (NGS) platforms compared to previous methods. It is the responsibility of the physician to consider the possibility of BRCA mutations and to raise the issue of BRCA testing to the patient if the family history, the age, previous malignant disease(s) of the patient, or the cancer features are suggestive of genetic risk.]

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[Breast cancer is globally the most frequent malignant disease in women with increasing incidence. Meta-analyses using data from a large set of patients combining genetic and standard clinicopathological features provide valuable models in predicting disease risk, outcome and therapy response. With the advent of molecular technologies, the amount of available data generated for each tumor and each patient is growing exponentially. The increased data availability allows the development of new innovative systems enabling to discover more effective prognostic and predictive biomarkers. The goal of this review is to summarize meta-analyses that utilize data from countless patients to provide breast cancer risk prediction (Gail-model, Claus-model, BRCApro, IBIS, BOADICEA), and prediction of prognosis and expected therapy response (PREDICT, Magee). In the last part of the review we introduce online analytical tools (KMplot, ROCplot) developed to examine, rank and validate new prognostic and predictive biomarker candidates.]

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[Colorectal cancer (CRC) has clinically-relevant molecular heterogeneity at multiple levels: genomics, epigenomics, transcriptomics and microenvironment features. Genomic events acquired during carcinogenesis remain drivers of cancer progression in the metastatic setting. For example, KRAS and NRAS mutations defi ne a population refractory to EGFR monoclonal antibodies, BRAFV600E mutations associate with poor outcome under standard therapies and response to targeted inhibitors in combinations, while HER2 amplifi cations confer unique sensitivity to double HER2 blockade. Multiple rare gene alterations driving resistance to EGFR monoclonal antibodies have been described with signifi cant overlap in primary and acquired mechanisms, in line with a clonal selection process. In this context, sequential analysis of circulating tumor DNA has the potential to guide drug development in a treatment refractory setting. Rare kinase fusion events and complex alterations in genes involved in DNA damage repair have been described, with emerging evidence for targetability. On the other hand, transcriptomic subtypes and pathway activation signatures have also shown prognostic and potential predictive value in metastatic CRC. These markers refl ect stromal and immune microenvironment interactions with cancer cells. For example, the microsatellite instable (MSI) or POLE ultramutant CRC population is particularly sensitive to immune checkpoint inhibitors, while tumors with a mesenchymal phenotype are characterized by activation of immunosuppressive molecules that mandate stratifi ed development of novel immunotherapy combinations. In this manuscript we review the expanding landscape of targetable oncogenic alterations and signatures in metastatic CRC and discuss the clinical implementation of novel molecular diagnostic tests.]

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