The oncologist
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The aim of this study was to describe clinicopathologic features of patients with breast cancer brain metastasis (BCBM); to evaluate survival after diagnosis of BCBM; and to compare estrogen receptor (ER), progesterone receptor (PR), and HER2 expression in the paired primary and brain tumors. ⋯ Compared with unselected breast cancer patients at the same institution, patients with breast cancer who had brain metastases had a higher proportion of hormone receptor-negative, HER2-positive, and TN tumors. Younger age, solitary brain lesion, and HER2 expression were independent predictors of better survival in patients with BCBM. HER2 status was highly concordant between the paired primary and brain tumors, whereas changes of ER and PR status occurred in a substantial proportion of the patients. These findings are important for making effective treatment decisions for patients with BCBM.
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In this paper, we provide background and context regarding the potential for a new data-sharing platform, the Project Data Sphere (PDS) initiative, funded by financial and in-kind contributions from the CEO Roundtable on Cancer, to transform cancer research and improve patient outcomes. Given the relatively modest decline in cancer death rates over the past several years, a new research paradigm is needed to accelerate therapeutic approaches for oncologic diseases. Phase III clinical trials generate large volumes of potentially usable information, often on hundreds of patients, including patients treated with standard of care therapies (i.e., controls). Both nationally and internationally, a variety of stakeholders have pursued data-sharing efforts to make individual patient-level clinical trial data available to the scientific research community. ⋯ Access to large, late-phase, cancer-trial data sets has the potential to transform cancer research by optimizing research efficiency and accelerating progress toward meaningful improvements in cancer care. This type of platform provides opportunities for unique research projects that can examine relatively neglected areas and that can construct models necessitating large amounts of detailed data. The full potential of PDS will be realized only when multiple tumor types and larger numbers of data sets are available through the website.
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Overall age-standardized cancer mortality rates in the European Union (EU) have declined by approximately 20% through 2010 (17% in women, 22% in men) since the peak value reached in 1988. This corresponds to the avoidance of more than 250,000 cancer deaths in 2010 alone and approximately 2.2 million deaths over the 1989-2010 22-year period. A more than twofold difference remains between the highest cancer mortality rates (in Hungary and other central European countries) and the lowest (in selected Nordic countries and Switzerland). ⋯ If overall cancer survival in EU countries with low rates could be raised to the median, approximately 50,000 additional cancer deaths would be avoided per year, and more than 100,000 would be avoided if overall survival in all countries were at least that of the 75% percentile--4% and 8%, respectively, of the approximately 1.3 million cancer deaths registered in the EU in 2010. There is, however, substantial uncertainty about any such estimate because differences in cancer survival are partly or largely attributable to earlier diagnosis, in variable proportion for each cancer site and probably to different degrees in different countries, even in the absence of changes in the date of death or avoidance of death. Consequently, these approximations are the best available and may be used cautiously to compare countries, health care approaches, and changes that occur over time.