Globally, breast cancer is the most frequent malignancy in women, and stage at diagnosis is a key determinant of outcome. In low- to middle-income countries, including Nigeria, advanced stage diagnosis and delayed treatment represent a significant problem. That social barriers contribute to delay has been noted in previous research; however, few specific factors have been studied. Using semi-structured interviews, this study identifies social barriers to diagnosis and treatment for patients who presented at University College Hospital Ibadan, Nigeria. Transcripts from the interviews were coded and analysed thematically. Thirty-one patients and five physicians were interviewed. The median age of patients was 51 (range: 28 to above 80), 83% were Christian and 17% were Muslim. Preliminary analysis showed that delays in diagnosis reflected a lack of education as well as the utilisation of non-physician medical services such as pharmacists. Delays in treatment were often due to fear of unanticipated surgery and cost. The majority of women did not know the cause of their breast cancer, but some believed it was caused by a spiritual affliction. This study suggests that further education and awareness of breast cancer for both patients and providers is needed in order to increase early stage diagnosis.

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BackgroundThe complexity of the human plasma proteome represents a substantial challenge for biomarker discovery. Proteomic analysis of genetically engineered mouse models of cancer and isolated cancer cells and cell lines provide alternative methods for identification of potential cancer markers that would be detectable in human blood using sensitive assays. The goal of this work is to evaluate the utility of an integrative strategy using these two approaches for biomarker discovery.Methodology/Principal FindingsWe investigated a strategy that combined quantitative plasma proteomics of an ovarian cancer mouse model with analysis of proteins secreted or shed by human ovarian cancer cells. Of 106 plasma proteins identified with increased levels in tumor bearing mice, 58 were also secreted or shed from ovarian cancer cells. The remainder consisted primarily of host-response proteins. Of 25 proteins identified in the study that were assayed, 8 mostly secreted proteins common to mouse plasma and human cancer cells were significantly upregulated in a set of plasmas from ovarian cancer patients. Five of the eight proteins were confirmed to be upregulated in a second independent set of ovarian cancer plasmas, including in early stage disease.Conclusions/SignificanceIntegrated proteomic analysis of cancer mouse models and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.

Background Excess opioid use after surgery contributes to opiate misuse and diversion. Understanding opioid prescribing and utilization patterns after sinonasal surgery is critical in designing effective practice protocols. In this study we aim to identify factors associated with variable opioid usage and further delineate optimal prescription patterns for sinonasal surgery. Methods All patients undergoing sinonasal surgery within a single health‐care system from March 2017 to August 2018 were sent electronic postoperative surveys. Data were collected on the amount of opioid required, pain control, presurgical opiate use, and narcotic disposal. Additional data collected from the electronic medical record included demographics, type of surgery performed, and total amount of opioid prescribed, including refills. Results Three‐hundred sixty four patients were included. A mean number of 25.3 tablets were prescribed per patient, yet the mean taken was just 11.8 tablets. Excess opioids were prescribed 84.9% of the time with a mean excess narcotic in oral morphine equivalents of 152.5. Among patients, 11.8% reported using no opioids, whereas 52.1% used <50% and 36.1% used >50% of their narcotic prescription. Patients used 9.3% of their full prescription and only 2.6% required a refill. The amount used was not associated with complexity of endoscopic sinus surgery, type of opiate prescribed, gender, distance living from hospital, or current opioid usage before surgery (p > 0.05). The addition of septoplasty and/or turbinoplasty was associated with variation in opioid usage (p < 0.001). A total of 76.1% of patients incorrectly discarded/stored excess opiates. Conclusion Opioids are overprescribed after sinonasal surgery. The amount of postoperative opiate prescribed should be greatly reduced and may be based on the specific procedures performed. Improved patient education regarding disposal of excess narcotics may help to curtail future opioid diversion.