Hypoxic transcriptomes predict survival and tumor-infiltrating immune cell composition in cutaneous melanoma.

Hypoxia has established associations with aggressive tumor phenotypes in many cancers. However, it is not currently understood whether tumor hypoxia levels map to distinct immune infiltrates in cutaneous melanoma, potentially unveiling novel therapeutic targets. To this end, we leveraged a previously identified seven-gene hypoxia signature to grade hypoxia levels of 460 cutaneous melanomas obtained from the Broad Institute GDAC Firehose portal. CIBERSORTx ( https://cibersortx.stanford.edu/ ) was employed to calculate the relative abundance of 22 mature human hematopoietic populations. Clinical outcomes and immune cell associations were assessed by computational means. Results indicated that patients with high-hypoxia tumors reported significantly worse overall survival and correlated with greater Breslow depth, validating the in-silico methodology. High-hypoxia tumors demonstrated increased infiltration of activated and resting dendritic cells, resting mast cells, neutrophils, and resting NK cells, but lower infiltration of gamma-delta T cells. These data suggest that high tumor hypoxia correlates with lower survival probability and distinct population differences of several tumor-infiltrating leukocytes in cutaneous melanomas.

Publishing on Topical Subjects in Total Joint Arthroplasty Is Associated With Increased Social Media Attention.

BACKGROUND: Social media platforms are often used for research dissemination and collaboration. Given the increased prevalence of online-only publications, understanding what drives research dissemination is important. Here, we analyzed factors associated with increased social media attention among peer-reviewed publications in total knee arthroplasty, total hip arthroplasty, and unicompartmental knee arthroplasty. METHODS: We analyzed publications about total knee arthroplasty, total hip arthroplasty, or unicompartmental knee arthroplasty from 2010 to 2022 using a national database. We analyzed a weighted count of social media mentions, using negative binomial regressions adjusting for days since publication. Publications on "hot topics" in arthroplasty were examined including navigation/robotics, COVID-19, race/ethnicity, body mass index, and reimbursement. There were 9,542 publications included, 4,216 (44%) were open access (OA), 338 (3.5%) included navigation, 32 (0.34%) discussed race/ethnicity, 20 (0.2%) discussed COVID-19, 3,840 (40%) were randomized studies, 30 (0.3%) discussed reimbursement, and 2,867 (30%) were in top-10 orthopaedic journals. RESULTS: Factors associated with higher weighted score included studies about COVID-19 (50 versus 6.0, P < .001), race/ethnicity (15.8 versus 6.0, P < .001), OA status (6.3 versus 5.8, P = .001), and randomized studies (6.5 versus 5.7, P < .001). Studies from top-10 journals had a lower score (5.8 versus 6.2, P = .025), as did studies about body mass index (3.4 versus 6.1, P = .001). Studies about navigation and reimbursement did not have significantly different scores. CONCLUSIONS: Studies on COVID-19, race/ethnicity, randomized studies, and OA publication were associated with increased social media while those in top-10 orthopaedic journals had lower scores. LEVEL OF EVIDENCE: Level IV, Prognostic Study.

A High Preoperative Blood Urea Nitrogen to Serum Albumin Ratio Does Not Predict Worse Outcomes Following the Robotic-Assisted Pulmonary Lobectomy for Lung Cancer.

BACKGROUND:  The blood urea nitrogen to serum albumin ratio (BAR) is an emerging prognostic parameter of interest. The utility of BAR as a prognostic factor has not been analyzed in lung cancer patients undergoing pulmonary lobectomy. We evaluated the ability of High BAR to predict worse outcomes after robotic-assisted pulmonary lobectomy (RAPL) for lung cancer. METHODS:  We retrospectively analyzed 400 patients who underwent RAPL from September 2010 to March 2022 by one surgeon. Patients were stratified by Low BAR (<6.25 mg/g) and High BAR (≥6.25 mg/g). Patients' demographics, tumor characteristics, comorbidities, surgical complications, outcomes, and survival were collected and compared by High and Low BAR groups. The primary outcome of interest was 30-day mortality. RESULTS:  Receiver operator curves (ROC) confirmed that 6.25 was an optimal threshold for estimating mortality based on Low and High BAR. There were no differences in surgical complications or outcomes between the Low and High BAR groups. The ability of BAR to predict 30-day mortality was evaluated with the area under the curve (AUC) analysis, which showed that higher BAR could not predict mortality (AUC=0.655; 95% CI, 0.435-0.875; p=0.166). Similarly, survival analysis revealed no difference in five-year overall survival between the Low and High BAR groups (p=0.079). CONCLUSION:  High BAR did not predict worse outcomes after RAPL for lung cancer in our study. Further studies are needed to better determine the prognostic ability of BAR in lower-risk populations.