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Biomarkers predictive of response to pembrolizumab in head and neck cancer

Background We performed an integrated biomarker evaluation in pembrolizumab‐treated patients with R/M HNSCC enrolled in KEYNOTE‐012 or KEYNOTE‐055. The relationship between biomarkers and HPV status was explored. Methods We evaluated PD‐L1 (combined positive score [CPS]), TMB, T‐cell‐inflamed gene e...

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Published in:Cancer medicine (Malden, MA) MA), 2023-03, Vol.12 (6), p.6603-6614
Main Authors: Pfister, David G., Haddad, Robert I., Worden, Francis P., Weiss, Jared, Mehra, Ranee, Chow, Laura Q. M., Liu, Stephen V., Kang, Hyunseok, Saba, Nabil F., Wirth, Lori J., Sukari, Ammar, Massarelli, Erminia, Ayers, Mark, Albright, Andrew, Webber, Andrea L., Mogg, Robin, Lunceford, Jared, Huang, Lingkang, Cristescu, Razvan, Cheng, Jonathan, Seiwert, Tanguy Y., Bauml, Joshua M.
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Language:English
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Summary:Background We performed an integrated biomarker evaluation in pembrolizumab‐treated patients with R/M HNSCC enrolled in KEYNOTE‐012 or KEYNOTE‐055. The relationship between biomarkers and HPV status was explored. Methods We evaluated PD‐L1 (combined positive score [CPS]), TMB, T‐cell‐inflamed gene expression profile (TcellinfGEP), and HPV status. Associations between biomarkers were evaluated by logistic regression (ORR) and Cox regression (PFS, OS). Results Two hundred and fifty‐seven patients (KEYNOTE‐012, n = 106; KEYNOTE‐055, n = 151) had TMB data available; of these, 254 had PD‐L1 and 236 had TcellinfGEP. TMB, PD‐L1, and TcellinfGEP were each significantly associated with ORR (p 
ISSN:2045-7634
2045-7634
DOI:10.1002/cam4.5434