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Current cancer therapies target a limited set of tumor features, rather than considering the tumor as a whole. Systems biology aims to reveal therapeutic targets associated with a variety of facets in an individual’s tumor, such as genetic heterogeneity and its evolution, cancer cell-autonomous phenotypes, and microenvironmental signaling. These disparate characteristics can be reconciled using mathematical modeling that incorporates concepts from ecology and evolution. This provides an opportunity to predict tumor growth and response to therapy, to tailor patient-specific approaches in real time or even prospectively. Importantly, as data regarding patient tumors is often available from only limited time points during treatment, systems-based approaches can address this limitation by interpolating longitudinal events within a principled framework. This review outlines areas in medicine that could benefit from systems biology approaches to deconvolve the complexity of cancer.

Distress screening is now required for cancer center accreditation. Understanding patient and caregiver stress is critical to successful cancer care. This study examines the perceived emotional impact of breast cancer on both patients and partners.From March 2011-February 2016, patients and partners undertook an electronic, 48-point distress screen during their first visit at a surgical breast clinic. Distress was measured via self-reported concerns on a five point Likert scale. Respondents were also asked about preferred interventions. The ability of the patient and partner to manage emotions was assessed in relation to education, ethnicity, fatigue, anxiety, and depression using ordered logistic regression.Of the 665 individuals screened, 51.7%(n = 344) were patients, while 48.3%(n = 321) were partners. Patients were more distressed than partners regarding fatigue, anxiety, depression, and worrying about the future (p 0.005). Only 19.7% of partners requested information with regards to "managing emotions" compared to 46.3% of patients. In the univariate analysis, being a partner was protective (OR 0.49 (95%CI 0.34-0.70, p 0.000) as was holding an advanced educational degree (OR 0.36 (95%CI 0.14-0.93) p = 0.035). In the multivariate regression, having more education remained protective, while being a partner was no longer protective (OR 0.93(95%CI 0.62-1.39, p = 0.789). Financial concerns, anxiety, depression, and worrying about the future remained statistically significant. Partners asked for help less than patients (OR 0.28 (95%CI 0.17-0.48), p 0.000).While partners have similar concerns as patients, they do not seek information or help in managing emotions as often as do patients. Both patient and partners with less education and increased financial distress were likely to report difficulty in managing emotions. This study identifies groups who would benefit from supportive measures even in the absence of a request for help.