ABSTRACT
BACKGROUND: Challenges remain in determining the most effective treatment strategies and identifying patients who would benefit from adjuvant or neoadjuvant therapy in renal cell carcinoma. The objective of this review is to provide a comprehensive overview of biomarkers in metastatic renal cell carcinoma (mRCC) and their utility in prediction of treatment response, prognosis, and therapeutic monitoring in patients receiving systemic therapy for metastatic disease. METHODS: A systematic literature search was conducted using the PubMed database for relevant studies published between January 2017 and December 2022. The search focused on biomarkers associated with mRCC and their relationship to immune checkpoint inhibitors, targeted therapy, and VEGF inhibitors in the adjuvant, neoadjuvant, and metastatic settings. RESULTS: The review identified various biomarkers with predictive, prognostic, and therapeutic monitoring potential in mRCC. The review also discussed the challenges associated with anti-angiogenic and immune-checkpoint monotherapy trials and highlighted the need for personalized therapy based on molecular signatures. CONCLUSION: This comprehensive review provides valuable insights into the landscape of biomarkers in mRCC and their potential applications in prediction of treatment response, prognosis, and therapeutic monitoring. The findings underscore the importance of incorporating biomarker assessment into clinical practice to guide treatment decisions and improve patient outcomes in mRCC.
ABSTRACT
INTRODUCTION: The National Institutes of Health (NIH) recently developed the relative citation ratio (RCR), calculated as article citations benchmarked to NIH-funded publications in the same field. Here, we characterized the scholarly impact of academic cardiothoracic (CT) surgeons and their research using the RCR. MATERIALS AND METHODS: Using a database of 992 CT surgeons, we calculated the RCR for all articles published by each surgeon since 1980 using the NIH iCite database. All data were collected from publicly available online sources. Data are presented as median (interquartile range) or as odds ratios (ORs) for multivariable logistic regression analysis. RESULTS: Where RCR 1.00 indicates equal impact as an NIH-funded publication, the RCR among all 37,402 CT surgery articles was 0.84 (0.33-1.83) and the RCR among NIH-funded CT surgery articles was 1.07 (0.53-2.17). CT surgeons exhibited a career median RCR of 0.82 (0.54-1.13) and maximum RCR of 6.20 (3.04-13.57). Predictors of career median RCR >1.00 included female gender (OR 2.23, P = 0.001), thoracic subspecialization (OR 2.50, P < 0.001), full professor rank (OR 1.89, P = 0.001), and NIH funding (OR 1.75, P = 0.001). Predictors of career maximum RCR >50th percentile among CT surgeons included male gender (OR 1.87, P = 0.030), thoracic subspecialization (OR 2.05, P < 0.001), full professor rank (OR 4.89, P < 0.001), NIH funding (OR 3.17, P < 0.001), and career duration (OR 1.03, P = 0.002). CONCLUSIONS: We present the first assessment of the NIH-validated RCR for academic CT surgery. CT surgery research is highly impactful, although gender disparities persist with respect to the highest-impact research of our specialty.
