ArticleJCI insight2021
Caveolin-1 and Sox-2 are predictive biomarkers of cetuximab response in head and neck cancer.
Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Digital Twins for Targeted Therapy in Head and Neck Cancer: From Molecular Stratification to Resistance-Aware Combination Strategies.Current oncology (Toronto, Ont.) · 2026Review
- Review
- Establishment of a Large-Scale PDX Library of Head and Neck Cancers for Functional Precision Oncology.Cancer medicine · 2026Article
- CYLD Alterations Are Associated With Metastasis and Poor Prognosis in Human Papilloma Virus-Positive Head and Neck Cancer.Head & neck · 2025Article
- TAM family kinases as therapeutic targets at the interface of cancer and immunity.Nature reviews. Clinical oncology · 2023Review
- PET and Optical Imaging of Caveolin-1 in Gastric Tumors.ACS omega · 2023Article
- To Tip or Not to Tip: A New Combination for Precision Medicine in Head and Neck Cancer.Cancer research · 2023Article
- Exosomes derived from MDR cells induce cetuximab resistance in CRC via PI3K/AKT signaling‑mediated Sox2 and PD‑L1 expression.Experimental and therapeutic medicine · 2023Article
- Targeted therapy for head and neck cancer: signaling pathways and clinical studies.Signal transduction and targeted therapy · 2023Review
- The RNA-Binding Protein SMN as a Novel Player in Laryngeal Squamous Cell Carcinoma.International journal of molecular sciences · 2023Article
- Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.PloS one · 2023Article
Corrections and comments
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Authors and funding
21 authors at 6 institutions in 1 country.
Funding
Abstract
The epidermal growth factor receptor (EGFR) inhibitor cetuximab is the only FDA-approved oncogene-targeting therapy for head and neck squamous cell carcinoma (HNSCC). Despite variable treatment response, no biomarkers exist to stratify patients for cetuximab therapy in HNSCC. Here, we applied unbiased hierarchical clustering to reverse-phase protein array molecular profiles from patient-derived xenograft (PDX) tumors and revealed 2 PDX clusters defined by protein networks associated with EGFR inhibitor resistance. In vivo validation revealed unbiased clustering to classify PDX tumors according to cetuximab response with 88% accuracy. Next, a support vector machine classifier algorithm identified a minimalist biomarker signature consisting of 8 proteins - caveolin-1, Sox-2, AXL, STING, Brd4, claudin-7, connexin-43, and fibronectin - with expression that strongly predicted cetuximab response in PDXs using either protein or mRNA. A combination of caveolin-1 and Sox-2 protein levels was sufficient to maintain high predictive accuracy, which we validated in tumor samples from patients with HNSCC with known clinical response to cetuximab. These results support further investigation into the combined use of caveolin-1 and Sox-2 as predictive biomarkers for cetuximab response in the clinic.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.