Background: As the role of immunotherapies and personalized medicine grow, cancer patients have faced many choices in treatments and have suffered financial toxicity. These challenges brought the need for the value framework (VF) to guide treatment decision making. Methods: A survey was taken to 102 oncologists about perception for VF. They were asked about priorities among several considerations when they prescribe cancer drugs. Their views on the need for development and potential implications of VF in Korea were assessed, also. Results: The survey shows that 90% of the respondents choose clinical efficacy as the most important value in cancer drugs selection, and the cost of drug was more weighted value in immune checkpoint inhibitors (13.7%). Approximately half (53.9%) answered that they were aware of the existing VFs. Over 90% of respondents agreed with the need for development of a VF for cancer drugs based on Korean healthcare system and further usefulness for decisions about reimbursement issues. Seventy-one percent answered that two representative VFs (American Society Clinical Oncology-VF and European Society for Medical OncologyMagnitude of Clinical Benefit Scale) should be reflected in value measurement of cancer drugs in Korea. Conclusion The Korean oncologists recognized the necessity for the clinical application of VF. Further discussion between the stakeholders should be followed to alleviate the financial burden through the value-based decision making of cancer drugs.

Background: As the role of immunotherapies and personalized medicine grow, cancer patients have faced many choices in treatments and have suffered financial toxicity. These challenges brought the need for the value framework (VF) to guide treatment decision making. Methods: A survey was taken to 102 oncologists about perception for VF. They were asked about priorities among several considerations when they prescribe cancer drugs. Their views on the need for development and potential implications of VF in Korea were assessed, also. Results: The survey shows that 90% of the respondents choose clinical efficacy as the most important value in cancer drugs selection, and the cost of drug was more weighted value in immune checkpoint inhibitors (13.7%). Approximately half (53.9%) answered that they were aware of the existing VFs. Over 90% of respondents agreed with the need for development of a VF for cancer drugs based on Korean healthcare system and further usefulness for decisions about reimbursement issues. Seventy-one percent answered that two representative VFs (American Society Clinical Oncology-VF and European Society for Medical OncologyMagnitude of Clinical Benefit Scale) should be reflected in value measurement of cancer drugs in Korea. Conclusion The Korean oncologists recognized the necessity for the clinical application of VF. Further discussion between the stakeholders should be followed to alleviate the financial burden through the value-based decision making of cancer drugs.

Obesity is one of the most serious health problems in developed countries. It negatively affects diverse aspects of human wellbeing. Of these, a relationship between obesity and depression is widely recognized but biomarkers for assessment of obesityassociated mood changes in animal obesity models are rarely known. Here we explored the link between obesity and the plasma levels of monoamine neurotransmitters involved in mood control using a sensitive UPLC/MSMS technique in high fat diet (HFD)-induced obesity model in male C57BL/6 mice to explore the potential utility of plasma tests for obesity-associated mood change. HFD (60% of total calories, 8 weeks) induced significantly higher weight gains in body (+37.8%) and fat tissue (+306%) in male C57BL/6 mice. Bioanalysis of serotonin, dopamine and norepinephrine in plasma at 8 weeks of HFD revealed that serotonin decreased significantly in the obese mice when compared to normal diet-fed mice (2.7 +/- 0.6 vs 4.3 +/- 2.0 ng/ml, N=8). Notably, a negative correlation was found between the levels of serotonin and body weight gains. Furthermore, principal component analysis (PCA) with the individual levels of neurotransmitters revealed that plasma levels of dopamine and serotonin could apparently differentiate the obese mice from lean ones. Our study demonstrated that blood plasma levels of neurotransmitters can be employed to evaluate the mood changes associated with obesity and more importantly, provided an important clue for understanding of the relationship between obesity and mood disorders.
Animals ; Biomarkers ; Body Weight ; Depression ; Developed Countries ; Diet, High-Fat ; Dopamine ; Humans ; Male ; Mice* ; Mice, Obese ; Mood Disorders ; Neurotransmitter Agents* ; Norepinephrine ; Obesity* ; Plasma* ; Principal Component Analysis ; Serotonin ; Weight Gain