1. Multidimensional biomarker predicts disease control in response to immunotherapy in recurrent or metastatic head and neck squamous-cell carcinoma.
- Author
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Flanagan, Kevin, Earls, Jon, Schillebeeckx, Ian, Hiken, Jeffrey, Wellinghoff, Rachel, LaFranzo, Natalie, Bradley, Zachary, Babbitt, Joey, Westra, William, Hsu, Raymond, Nadauld, Lincoln, Mcleod, Howard, Firth, Sean, Sharp, Brittany, Fuller, Josh, Vavinskaya, Vera, Sutton, Leisa, Deichaite, Ida, Bailey, Samuel, Sandulache, Vlad, Rendo, Matthew, Macdonald, Orlan, Welaya, Karim, Wade, James, Pippas, Andrew, Slim, Jennifer, Bank, Bruce, Saccaro, Steven, Sui, Xingwei, Akhtar, Adil, Balaraman, Savitha, Kossman, Steven, Sonnier, Scott, Shenkenberg, Todd, Alexander, Warren, Price, Katherine, Bane, Charles, Ley, Jessica, Messina, David, Glasscock, Jarret, Adkins, Douglas, Duncavage, Eric, and Cohen, Ezra
- Subjects
Biomarker ,HNSCC ,Immune checkpoint inhibitors ,PD-1 ,PD-L1 ,Pembrolizumab - Abstract
PURPOSE: Anti-PD-1 therapy provides clinical benefit in 40-50% of patients with relapsed and/or metastatic head and neck squamous cell carcinoma (RM-HNSCC). Selection of anti- PD-1 therapy is typically based on patient PD-L1 immunohistochemistry (IHC) which has low specificity for predicting disease control. Therefore, there is a critical need for a clinical biomarker that will predict clinical benefit to anti-PD-1 treatment with high specificity. METHODS: Clinical treatment and outcomes data for 103 RM-HNSCC patients were paired with RNA-sequencing data from formalin-fixed patient samples. Using logistic regression methods, we developed a novel biomarker classifier based on expression patterns in the tumor immune microenvironment to predict disease control with monotherapy PD-1 inhibitors (pembrolizumab and nivolumab). The performance of the biomarker was internally validated using out-of-bag methods. RESULTS: The biomarker significantly predicted disease control (65% in predicted non-progressors vs. 17% in predicted progressors, p
- Published
- 2023