No gold standard treatment exists for metastatic breast cancer (MBC). Clinical decision making is based on knowledge of prognostic and predictive factors that are extrapolated from clinical trials and, sometimes, are not reliably transferable to a real-world scenario. Moreover, misalignment between endpoints used in drug development and measures of outcome in clinical practice has been noted.The roles of overall survival (OS) and progression-free survival (PFS) as primary endpoints in the context of clinical trials are the subjects of lively debate. Information about these parameters in routine clinical practice is potentially useful to design new studies and/or to interpret the results of clinical research. This study analyzed the impact of patient and tumor characteristics on the major measures of outcome across different lines of treatment in a cohort of 472 patients treated for MBC. OS, PFS, and postprogression survival (PPS) were analyzed. The study showed how biological and clinical characteristics may have different prognostic value across different lines of therapy for MBC. After first-line treatment, the median PPS of luminal A, luminal B, and human epidermal growth factor receptor 2 (HER2)-positive groups was longer than 12 months. The choice of OS as a primary endpoint for clinical trials could not be appropriate with these subtypes. In contrast, OS could be an appropriate endpoint when PPS is expected to be low (e.g., triple-negative subtype after the first line; other subtypes after the third line). The potential implications of these findings are clinical and methodological. The Oncologist 2014;19:608-615 Implications for Practice: Although randomized clinical trials are recognized as the highest level of scientific evidence to demonstrate the efficacy of a treatment, sometimes they do not reflect the clinical circumstances faced in a real-world scenario. The present study provides data about outcomes of consecutive metastatic breast cancer patients treated at an academic hospital. The findings support the importance of considering breast cancer in distinct subgroups with the aim of obtaining more precise information about prognosis and expected benefit from treatment. The study also provides insights for future clinical trial design.

Development of central nervous system (CNS) metastases in breast cancer (BC) is associated with poor prognosis. The incidence of CNS metastases in metastatic BC is reported to be about 10-16 %, but different subtypes of BC are associated with different risk of developing CNS metastases. We retrospectively analysed the risk of CNS metastases and the outcome in a cohort of 473 patients with metastatic BC. CNS metastases were diagnosed in 15.6 % of patients and median survival from diagnosis of CNS metastases was 7.53 (25th-75th 2.8-18.9) months. The risk of developing CNS metastases was higher in patients with grade 3, hormone receptor negative, HER2-positive, high Ki-67 BC. When compared to luminal A subtype, only HER2-positive BC was associated with increased risk of CNS metastases. Survival from diagnosis of CNS metastases was longer in patients with HER2-positive BC, while it was shorter in patients that did not receive any locoregional treatment, or with extra-CNS disease, or with more than 3 CNS lesions.

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Next-generation sequencing (NGS) technology has advanced knowledge of the genomic landscape of ovarian cancer, leading to an innovative molecular classification of the disease. However, patient survival and response to platinum-based treatments are still not predictable based on the tumor genetic profile. This retrospective study characterized the repertoire of somatic mutations in advanced ovarian cancer to identify tumor genetic markers predictive of platinum chemo-resistance and prognosis. Using targeted NGS, 79 primary advanced (III–IV stage, tumor grade G2-3) ovarian cancer tumors, including 64 high-grade serous ovarian cancers (HGSOCs), were screened with a 26 cancer-genes panel. Patients, enrolled between 1995 and 2011, underwent primary debulking surgery (PDS) with optimal residual disease (RD < 1 cm) and platinum-based chemotherapy as first-line treatment. We found a heterogeneous mutational landscape in some uncommon ovarian histotypes and in HGSOC tumor samples with relevance in predicting platinum sensitivity. In particular, we identified a poor prognostic signature in patients with HGSOC harboring concurrent mutations in two driver actionable genes of the panel. The tumor heterogeneity described, sheds light on the translational potential of targeted NGS approach for the identification of subgroups of patients with distinct therapeutic vulnerabilities, that are modulated by the specific mutational profile expressed by the ovarian tumor.

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