Our study codified nascent findings of the molecular determinants of MBS. These findings add to a growing database of MBS-associated mutations and can be used to diagnose MBS and clarify pathogenesis.

Context The incidence of oropharyngeal squamous cell carcinoma has increased during the past decade and is related primarily to the human papillomavirus. This change in etiology, from tobacco and alcohol to human papillomavirus, has resulted in improved survival for the disease. In the United States, open resection had largely been replaced by concurrent chemotherapy and/or radiotherapy by the early 2000s. The advent of transoral surgery has led to an increase in surgery as the primary treatment for both early- and advanced-stage oropharyngeal squamous cell carcinoma because it has potential advantages over open surgery and nonsurgical modalities. Objective To provide an overview of transoral robotic surgery for oropharyngeal squamous cell carcinoma and contrast it with other surgical and nonsurgical modalities. Data Sources Articles from 2000 to 2014 were accessioned on PubMed and reviewed for utility by the primary authors. Conclusions Transoral surgery has become more commonly used as a minimally invasive approach to treat oropharyngeal tumors. Other strategies, including radiation, chemotherapy with radiation, and open surgery, are still important treatment approaches. The treatment options for an individual patient rely on multiple factors, including the tumor location and size, features of the tumor, and patient comorbidities. The continued study of these techniques is important to match the patient with the most appropriate treatment.

Background Oncotype DX® (ODX) is used to assess risk of disease recurrence in hormone receptor positive, HER2-negative breast cancer and to guide decisions regarding adjuvant chemotherapy. Little is known about how physician factors impact treatment decisions. The purpose of this study was to examine patient and physician factors associated with ODX testing and adjuvant chemotherapy for breast cancer patients in New Hampshire. Methods We examined New Hampshire State Cancer Registry data on 5630 female breast cancer patients diagnosed from 2010 to 2016. We performed unadjusted and adjusted hierarchical logistic regression to identify factors associated with a patient’s receipt of ODX, being recommended and receiving chemotherapy, and refusing chemotherapy. We calculated intraclass correlation coefficients (ICCs) to examine the proportion of variance in clinical decisions explained by between-physician and between-hospital variation. Results Over the study period, 1512 breast cancer patients received ODX. After adjustment for patient and tumor characteristics, we found that patients seen by a male medical oncologist were less likely to be recommended chemotherapy following ODX (OR = 0.50 (95% CI = 0.34–0.74), p < 0.01). Medical oncologists with more clinical experience (reference: less than 10 years) were more likely to recommend chemotherapy (20–29 years: OR = 4.05 (95% CI = 1.57–10.43), p < 0.01; > 29 years: OR = 4.48 (95% CI = 1.68–11.95), p < 0.01). A substantial amount of the variation in receiving chemotherapy was due to variation between physicians, particularly among low risk patients (ICC = 0.33). Conclusions In addition to patient clinicopathologic characteristics, physician gender and clinical experience were associated with chemotherapy treatment following ODX testing. The significant variation between physicians indicates the potential for interventions to reduce variation in care.

Network centrality measures assign importance to influential or key nodes in a network based on the topological structure of the underlying adjacency matrix. In this work, we define the importance of a node in a network as being dependent on whether it is the only one of its kind among its neighbors’ ties. We introduce linchpin score, a measure of local uniqueness used to identify important nodes by assessing both network structure and a node attribute. We explore linchpin score by attribute type and examine relationships between linchpin score and other established network centrality measures (degree, betweenness, closeness, and eigenvector centrality). To assess the utility of this measure in a real-world application, we measured the linchpin score of physicians in patient-sharing networks to identify and characterize important physicians based on being locally unique for their specialty. We hypothesized that linchpin score would identify indispensable physicians who would not be easily replaced by another physician of their specialty type if they were to be removed from the network. We explored differences in rural and urban physicians by linchpin score compared with other network centrality measures in patient-sharing networks representing the 306 hospital referral regions in the United States. We show that linchpin score is uniquely able to make the distinction that rural specialists, but not rural general practitioners, are indispensable for rural patient care. Linchpin score reveals a novel aspect of network importance that can provide important insight into the vulnerability of health care provider networks. More broadly, applications of linchpin score may be relevant for the analysis of social networks where interdisciplinary collaboration is important.