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Genomics and proteomics will improve outcome prediction in cancer and have great potential to help in the discovery of unknown mechanisms of metastasis, ripe for therapeutic exploitation. Current methods of prognosis estimation rely on clinical data, anatomical staging and histopathological features. It is hoped that translational genomic and proteomic research will discriminate more accurately than is possible at present between patients with a good prognosis and those who carry a high risk of recurrence. Rational treatments, targeted to the specific molecular pathways of an individual’s high-risk tumor, are at the core of tailored therapy. The aim of targeted oncology is to select the right patient for the right drug at precisely the right point in their cancer journey. Optical proteomics uses advanced optical imaging technologies to quantify the activity states of and associations between signaling proteins by measuring energy transfer between fluorophores attached to specific proteins. Förster resonance energy transfer (FRET) and fluorescence lifetime imaging microscopy (FLIM) assays are suitable for use in cell line models of cancer, fresh human tissues and formalin-fixed paraffin-embedded tissue (FFPE). In animal models, dynamic deep tissue FLIM/FRET imaging of cancer cells in vivo is now also feasible. Analysis of protein expression and post-translational modifications such as phosphorylation and ubiquitination can be performed in cell lines and are remarkably efficiently in cancer tissue samples using tissue microarrays (TMAs). FRET assays can be performed to quantify protein-protein interactions within FFPE tissue, far beyond the spatial resolution conventionally associated with light or confocal laser microscopy. Multivariate optical parameters can be correlated with disease relapse for individual patients. FRET-FLIM assays allow rapid screening of target modifiers using high content drug screens. Specific protein-protein interactions conferring a poor prognosis identified by high content tissue screening will be perturbed with targeted therapeutics. Future targeted drugs will be identified using high content/throughput drug screens that are based on multivariate proteomic assays. Response to therapy at a molecular level can be monitored using these assays while the patient receives treatment: utilizing re-biopsy tumor tissue samples in the neoadjuvant setting or by examining surrogate tissues. These technologies will prove to be both prognostic of risk for individuals when applied to tumor tissue at first diagnosis and predictive of response to specifically selected targeted anticancer drugs. Advanced optical assays have great potential to be translated into real-life benefit for cancer patients.

Pre-surgical studies allow study of the relationship between mutations and response of oestrogen receptor-positive (ER+) breast cancer to aromatase inhibitors (AIs) but have been limited to small biopsies. Here in phase I of this study, we perform exome sequencing on baseline, surgical core-cuts and blood from 60 patients (40 AI treated, 20 controls). In poor responders (based on Ki67 change), we find significantly more somatic mutations than good responders. Subclones exclusive to baseline or surgical cores occur in ∼30% of tumours. In phase II, we combine targeted sequencing on another 28 treated patients with phase I. We find six genes frequently mutated: PIK3CA , TP53 , CDH1 , MLL3 , ABCA13 and FLG with 71% concordance between paired cores. TP53 mutations are associated with poor response. We conclude that multiple biopsies are essential for confident mutational profiling of ER+ breast cancer and TP53 mutations are associated with resistance to oestrogen deprivation therapy. Aromatase inhibitors are used to treat oestrogen receptor positive breast cancers but the molecular basis for the response of patients is unclear. Here, the authors use samples from an aromatase inhibitor clinical trial and show that tumours from poor responders have more mutations than good responders and also more frequently harbour p53 mutations.

The addition of adjuvant trastuzumab therapy for 1 year to standard chemotherapy significantly improved disease-free survival and overall survival versus chemotherapy alone in a number of pivotal early breast cancer studies. Here we review long-term follow-up data on the efficacy, cardiac safety, and general safety of trastuzumab in these pivotal studies. We also evaluate ongoing phase II/III adjuvant trials with newer HER2-targeted agents and the efficacy and safety of the recently developed subcutaneous (SC) formulation of trastuzumab in early breast cancer. Long-term follow-up data confirm the significant survival benefit afforded by the addition of trastuzumab to chemotherapy in patients with HER2-positive disease, with an acceptable safety profile. Long-term cardiac safety data suggest that the incidence of cardiac adverse events is maintained at a relatively low level with continued follow-up. At this present time, 1 year of trastuzumab treatment remains the standard of care in HER2-positive early breast cancer. Future adjuvant trastuzumab treatment strategies should focus on reducing cardiotoxicity, particularly in elderly patients, by identifying potential predictive biomarkers of cardiac dysfunction. Clinicians must also decide whether to omit trastuzumab in women who would achieve little benefit from treatment to avoid cardiotoxicity.